From 68290881484a5817b66efbbaba9ffb36fa4f926e Mon Sep 17 00:00:00 2001 From: supervised Date: Wed, 18 Jan 2023 16:06:25 -0800 Subject: [PATCH 01/29] adding the initial ELFIN plug-in --- pyspedas/__init__.py | 1 + pyspedas/elfin/README.md | 75 +++++ pyspedas/elfin/__init__.py | 500 +++++++++++++++++++++++++++++++ pyspedas/elfin/config.py | 12 + pyspedas/elfin/docs/elfin.rst | 122 ++++++++ pyspedas/elfin/load.py | 84 ++++++ pyspedas/elfin/tests/__init__.py | 0 pyspedas/elfin/tests/tests.py | 45 +++ 8 files changed, 839 insertions(+) create mode 100644 pyspedas/elfin/README.md create mode 100644 pyspedas/elfin/__init__.py create mode 100644 pyspedas/elfin/config.py create mode 100644 pyspedas/elfin/docs/elfin.rst create mode 100644 pyspedas/elfin/load.py create mode 100644 pyspedas/elfin/tests/__init__.py create mode 100644 pyspedas/elfin/tests/tests.py diff --git a/pyspedas/__init__.py b/pyspedas/__init__.py index 3360b1c9..2546b4bf 100644 --- a/pyspedas/__init__.py +++ b/pyspedas/__init__.py @@ -75,6 +75,7 @@ from . import akebono from . import soho from . import barrel +from . import elfin # set up logging/console output import logging diff --git a/pyspedas/elfin/README.md b/pyspedas/elfin/README.md new file mode 100644 index 00000000..c5dcb1e9 --- /dev/null +++ b/pyspedas/elfin/README.md @@ -0,0 +1,75 @@ + +## Electron Losses and Fields Investigation (ELFIN) +The routines in this module can be used to load data from the Electron Losses and Fields Investigation (ELFIN) mission. + +### Instruments +- Fluxgate Magnetometer (FGM) +- Energetic Particle Detector (EPD) +- Magneto Resistive Magnetometer-a (MRMa) +- Magneto Resistive Magnetometer-i (MRMi) +- State data (state) +- Engineering data (ENG) + +### Examples +Get started by importing pyspedas and tplot; these are required to load and plot the data: + +```python +import pyspedas +from pytplot import tplot +``` + +#### Fluxgate Magnetometer (FGM) + +```python +fgm_vars = pyspedas.elfin.fgm(trange=['2020-10-01', '2020-10-02']) + +tplot('ela_fgs') +``` + + +#### Energetic Particle Detector (EPD) + +```python +epd_vars = pyspedas.elfin.epd(trange=['2020-11-01', '2020-11-02']) + +tplot('ela_pef') +``` + + +#### Magneto Resistive Magnetometer (MRMa) + +```python +mrma_vars = pyspedas.elfin.mrma(trange=['2020-11-5', '2020-11-6']) + +tplot('ela_mrma') +``` + + +#### Magneto Resistive Magnetometer (MRMi) + +```python +mrmi_vars = pyspedas.elfin.mrmi(trange=['2020-11-5', '2020-11-6']) + +tplot('ela_mrmi') +``` + + +#### State data (state) + +```python +state_vars = pyspedas.elfin.state(trange=['2020-11-5/10:00', '2020-11-5/12:00']) + +tplot('ela_pos_gei') +``` + + +#### Engineering (ENG) + +```python +eng_vars = pyspedas.elfin.eng(trange=['2020-11-5', '2020-11-6']) + +tplot('ela_fc_idpu_temp') +``` + + + \ No newline at end of file diff --git a/pyspedas/elfin/__init__.py b/pyspedas/elfin/__init__.py new file mode 100644 index 00000000..9eb68e55 --- /dev/null +++ b/pyspedas/elfin/__init__.py @@ -0,0 +1,500 @@ +from .load import load + + +def fgm(trange=['2020-10-01', '2020-10-02'], + probe='a', + datatype='survey', + level='l1', + suffix='', + get_support_data=False, + varformat=None, + varnames=[], + downloadonly=False, + notplot=False, + no_update=False, + time_clip=False): + """ + This function loads data from the Fluxgate Magnetometer (FGM) + + Parameters + ---------- + trange : list of str + time range of interest [starttime, endtime] with the format + 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day + ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] + + probe: str + Spacecraft identifier ('a' or 'b') + + datatype: str + Data type; Valid options: + 'fast', 'survey' for L1 data + + level: str + Data level; options: 'l1' (default: l1) + + suffix: str + The tplot variable names will be given this suffix. By default, + no suffix is added. + + get_support_data: bool + Data with an attribute "VAR_TYPE" with a value of "support_data" + will be loaded into tplot. By default, only loads in data with a + "VAR_TYPE" attribute of "data". + + varformat: str + The file variable formats to load into tplot. Wildcard character + "*" is accepted. By default, all variables are loaded in. + + varnames: list of str + List of variable names to load (if not specified, + all data variables are loaded) + + downloadonly: bool + Set this flag to download the CDF files, but not load them into + tplot variables + + notplot: bool + Return the data in hash tables instead of creating tplot variables + + no_update: bool + If set, only load data from your local cache + + time_clip: bool + Time clip the variables to exactly the range specified in the trange keyword + + Returns + ---------- + List of tplot variables created. + + """ + tvars = load(instrument='fgm', probe=probe, trange=trange, level=level, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, time_clip=time_clip, no_update=no_update) + + if tvars is None or notplot or downloadonly: + return tvars + + return fgm_postprocessing(tvars) + + +def fgm_postprocessing(variables): + """ + Placeholder for FGM post-processing + """ + return variables + + +def epd(trange=['2020-11-01', '2020-11-02'], + probe='a', + datatype='pef', + level='l1', + suffix='', + get_support_data=False, + varformat=None, + varnames=[], + downloadonly=False, + notplot=False, + no_update=False, + time_clip=False): + """ + This function loads data from the Energetic Particle Detector (EPD) + + Parameters + ---------- + trange : list of str + time range of interest [starttime, endtime] with the format + 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day + ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] + + probe: str + Spacecraft identifier ('a' or 'b') + + datatype: str + Data type; Valid options: + 'pef' for L1 data + 'pif' for L1 data + 'pes' for L1 data + 'pis' for L1 data + + level: str + Data level; options: 'l1' (default: l1) + + suffix: str + The tplot variable names will be given this suffix. By default, + no suffix is added. + + get_support_data: bool + Data with an attribute "VAR_TYPE" with a value of "support_data" + will be loaded into tplot. By default, only loads in data with a + "VAR_TYPE" attribute of "data". + + varformat: str + The file variable formats to load into tplot. Wildcard character + "*" is accepted. By default, all variables are loaded in. + + varnames: list of str + List of variable names to load (if not specified, + all data variables are loaded) + + downloadonly: bool + Set this flag to download the CDF files, but not load them into + tplot variables + + notplot: bool + Return the data in hash tables instead of creating tplot variables + + no_update: bool + If set, only load data from your local cache + + time_clip: bool + Time clip the variables to exactly the range specified in the trange keyword + + Returns + ---------- + List of tplot variables created. + + """ + tvars = load(instrument='epd', probe=probe, trange=trange, level=level, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, time_clip=time_clip, no_update=no_update) + + if tvars is None or notplot or downloadonly: + return tvars + + return epd_postprocessing(tvars) + + +def epd_postprocessing(variables): + """ + Placeholder for EPD post-processing + """ + return variables + + +def mrma(trange=['2020-11-5', '2020-11-6'], + probe='a', + datatype='mrma', + level='l1', + suffix='', + get_support_data=False, + varformat=None, + varnames=[], + downloadonly=False, + notplot=False, + no_update=False, + time_clip=False): + """ + This function loads data from the Magneto Resistive Magnetometer (MRMa) + + Parameters + ---------- + trange : list of str + time range of interest [starttime, endtime] with the format + 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day + ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] + + probe: str + Spacecraft identifier ('a' or 'b') + + datatype: str + Data type; Valid options: + 'mrma' for L1 data + + level: str + Data level; options: 'l1' (default: l1) + + suffix: str + The tplot variable names will be given this suffix. By default, + no suffix is added. + + get_support_data: bool + Data with an attribute "VAR_TYPE" with a value of "support_data" + will be loaded into tplot. By default, only loads in data with a + "VAR_TYPE" attribute of "data". + + varformat: str + The file variable formats to load into tplot. Wildcard character + "*" is accepted. By default, all variables are loaded in. + + varnames: list of str + List of variable names to load (if not specified, + all data variables are loaded) + + downloadonly: bool + Set this flag to download the CDF files, but not load them into + tplot variables + + notplot: bool + Return the data in hash tables instead of creating tplot variables + + no_update: bool + If set, only load data from your local cache + + time_clip: bool + Time clip the variables to exactly the range specified in the trange keyword + + Returns + ---------- + List of tplot variables created. + + """ + tvars = load(instrument='mrma', probe=probe, trange=trange, level=level, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, time_clip=time_clip, no_update=no_update) + + if tvars is None or notplot or downloadonly: + return tvars + + return mrma_postprocessing(tvars) + + +def mrma_postprocessing(variables): + """ + Placeholder for MRMa post-processing + """ + return variables + + +def mrmi(trange=['2020-11-5', '2020-11-6'], + probe='a', + datatype='mrmi', + level='l1', + suffix='', + get_support_data=False, + varformat=None, + varnames=[], + downloadonly=False, + notplot=False, + no_update=False, + time_clip=False): + """ + This function loads data from the Magneto Resistive Magnetometer (MRMi) + + Parameters + ---------- + trange : list of str + time range of interest [starttime, endtime] with the format + 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day + ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] + + probe: str + Spacecraft identifier ('a' or 'b') + + datatype: str + Data type; Valid options: + 'mrmi' for L1 data + + level: str + Data level; options: 'l1' (default: l1) + + suffix: str + The tplot variable names will be given this suffix. By default, + no suffix is added. + + get_support_data: bool + Data with an attribute "VAR_TYPE" with a value of "support_data" + will be loaded into tplot. By default, only loads in data with a + "VAR_TYPE" attribute of "data". + + varformat: str + The file variable formats to load into tplot. Wildcard character + "*" is accepted. By default, all variables are loaded in. + + varnames: list of str + List of variable names to load (if not specified, + all data variables are loaded) + + downloadonly: bool + Set this flag to download the CDF files, but not load them into + tplot variables + + notplot: bool + Return the data in hash tables instead of creating tplot variables + + no_update: bool + If set, only load data from your local cache + + time_clip: bool + Time clip the variables to exactly the range specified in the trange keyword + + Returns + ---------- + List of tplot variables created. + + """ + tvars = load(instrument='mrmi', probe=probe, trange=trange, level=level, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, time_clip=time_clip, no_update=no_update) + + if tvars is None or notplot or downloadonly: + return tvars + + return mrmi_postprocessing(tvars) + + +def mrmi_postprocessing(variables): + """ + Placeholder for MRMi post-processing + """ + return variables + + +def state(trange=['2020-11-5/10:00', '2020-11-5/12:00'], + probe='a', + datatype='defn', + level='l1', + suffix='', + get_support_data=False, + varformat=None, + varnames=[], + downloadonly=False, + notplot=False, + no_update=False, + time_clip=True): + """ + This function loads data from the State data (state) + + Parameters + ---------- + trange : list of str + time range of interest [starttime, endtime] with the format + 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day + ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] + + probe: str + Spacecraft identifier ('a' or 'b') + + datatype: str + Data type; Valid options: + 'defn' (default) + 'pred' + + level: str + Data level; options: 'l1' (default: l1) + + suffix: str + The tplot variable names will be given this suffix. By default, + no suffix is added. + + get_support_data: bool + Data with an attribute "VAR_TYPE" with a value of "support_data" + will be loaded into tplot. By default, only loads in data with a + "VAR_TYPE" attribute of "data". + + varformat: str + The file variable formats to load into tplot. Wildcard character + "*" is accepted. By default, all variables are loaded in. + + varnames: list of str + List of variable names to load (if not specified, + all data variables are loaded) + + downloadonly: bool + Set this flag to download the CDF files, but not load them into + tplot variables + + notplot: bool + Return the data in hash tables instead of creating tplot variables + + no_update: bool + If set, only load data from your local cache + + time_clip: bool + Time clip the variables to exactly the range specified in the trange keyword + + Returns + ---------- + List of tplot variables created. + + """ + tvars= load(instrument='state', probe=probe, trange=trange, level=level, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, time_clip=time_clip, no_update=no_update) + + if tvars is None or notplot or downloadonly: + return tvars + + return state_postprocessing(tvars) + + +def state_postprocessing(variables): + """ + Placeholder for State post-processing + """ + return variables + + +def eng(trange=['2020-11-5', '2020-11-6'], + probe='a', + datatype='eng_datatype', + level='l1', + suffix='', + get_support_data=False, + varformat=None, + varnames=[], + downloadonly=False, + notplot=False, + no_update=False, + time_clip=False): + """ + This function loads data from the Engineering (ENG) + + Parameters + ---------- + trange : list of str + time range of interest [starttime, endtime] with the format + 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day + ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] + + probe: str + Spacecraft identifier ('a' or 'b') + + datatype: str + Data type; Valid options: + 'eng_datatype' for L1 data + + level: str + Data level; options: 'l1' (default: l1) + + suffix: str + The tplot variable names will be given this suffix. By default, + no suffix is added. + + get_support_data: bool + Data with an attribute "VAR_TYPE" with a value of "support_data" + will be loaded into tplot. By default, only loads in data with a + "VAR_TYPE" attribute of "data". + + varformat: str + The file variable formats to load into tplot. Wildcard character + "*" is accepted. By default, all variables are loaded in. + + varnames: list of str + List of variable names to load (if not specified, + all data variables are loaded) + + downloadonly: bool + Set this flag to download the CDF files, but not load them into + tplot variables + + notplot: bool + Return the data in hash tables instead of creating tplot variables + + no_update: bool + If set, only load data from your local cache + + time_clip: bool + Time clip the variables to exactly the range specified in the trange keyword + + Returns + ---------- + List of tplot variables created. + + """ + tvars = load(instrument='eng', probe=probe, trange=trange, level=level, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, time_clip=time_clip, no_update=no_update) + + if tvars is None or notplot or downloadonly: + return tvars + + return eng_postprocessing(tvars) + + +def eng_postprocessing(variables): + """ + Placeholder for ENG post-processing + """ + return variables + + + diff --git a/pyspedas/elfin/config.py b/pyspedas/elfin/config.py new file mode 100644 index 00000000..a84eeeaa --- /dev/null +++ b/pyspedas/elfin/config.py @@ -0,0 +1,12 @@ +import os + +CONFIG = {'local_data_dir': 'elfin_data/', + 'remote_data_dir': 'https://data.elfin.ucla.edu/'} + +# override local data directory with environment variables +if os.environ.get('SPEDAS_DATA_DIR'): + CONFIG['local_data_dir'] = os.sep.join([os.environ['SPEDAS_DATA_DIR'], 'elfin']) + +if os.environ.get('ELFIN_DATA_DIR'): + CONFIG['local_data_dir'] = os.environ['ELFIN_DATA_DIR'] + \ No newline at end of file diff --git a/pyspedas/elfin/docs/elfin.rst b/pyspedas/elfin/docs/elfin.rst new file mode 100644 index 00000000..e7822bb3 --- /dev/null +++ b/pyspedas/elfin/docs/elfin.rst @@ -0,0 +1,122 @@ +Electron Losses and Fields Investigation (ELFIN) +======================================================================== +The routines in this module can be used to load data from the Electron Losses and Fields Investigation (ELFIN) mission. + + +Fluxgate Magnetometer (FGM) +---------------------------------------------------------- +.. autofunction:: pyspedas.elfin.fgm + +Example +^^^^^^^^^ + +.. code-block:: python + + import pyspedas + from pytplot import tplot + elfin_vars = pyspedas.elfin.fgm(trange=['2020-11-5', '2020-11-6']) + tplot('ela_fgs') + +.. image:: _static/elfin_fgm.png + :align: center + :class: imgborder + + +Energetic Particle Detector (EPD) +---------------------------------------------------------- +.. autofunction:: pyspedas.elfin.epd + +Example +^^^^^^^^^ + +.. code-block:: python + + import pyspedas + from pytplot import tplot + elfin_vars = pyspedas.elfin.epd(trange=['2020-11-5', '2020-11-6']) + tplot(['ela_pef_nflux', 'ela_pif_cps']) + +.. image:: _static/elfin_epd.png + :align: center + :class: imgborder + + +Magneto Resistive Magnetometer (MRMa) +---------------------------------------------------------- +.. autofunction:: pyspedas.elfin.mrma + +Example +^^^^^^^^^ + +.. code-block:: python + + import pyspedas + from pytplot import tplot + elfin_vars = pyspedas.elfin.mrma(trange=['2020-11-5', '2020-11-6']) + tplot('ela_mrma') + +.. image:: _static/elfin_mrma.png + :align: center + :class: imgborder + + +Magneto Resistive Magnetometer (MRMi) +---------------------------------------------------------- +.. autofunction:: pyspedas.elfin.mrmi + +Example +^^^^^^^^^ + +.. code-block:: python + + import pyspedas + from pytplot import tplot + elfin_vars = pyspedas.elfin.mrmi(trange=['2020-11-5', '2020-11-6']) + tplot('ela_mrmi') + +.. image:: _static/elfin_mrmi.png + :align: center + :class: imgborder + + +State data (state) +---------------------------------------------------------- +.. autofunction:: pyspedas.elfin.state + +Example +^^^^^^^^^ + +.. code-block:: python + + import pyspedas + from pytplot import tplot + elfin_vars = pyspedas.elfin.state(trange=['2020-11-5', '2020-11-6']) + tplot('ela_pos_gei') + +.. image:: _static/elfin_state.png + :align: center + :class: imgborder + + +Engineering (ENG) +---------------------------------------------------------- +.. autofunction:: pyspedas.elfin.eng + +Example +^^^^^^^^^ + +.. code-block:: python + + import pyspedas + from pytplot import tplot + elfin_vars = pyspedas.elfin.eng(trange=['2020-11-5', '2020-11-6']) + tplot('ela_eng_tplot') + +.. image:: _static/elfin_eng.png + :align: center + :class: imgborder + + + + + \ No newline at end of file diff --git a/pyspedas/elfin/load.py b/pyspedas/elfin/load.py new file mode 100644 index 00000000..bf1557f3 --- /dev/null +++ b/pyspedas/elfin/load.py @@ -0,0 +1,84 @@ +from pyspedas.utilities.dailynames import dailynames +from pyspedas.utilities.download import download +from pyspedas.analysis.time_clip import time_clip as tclip +from pytplot import cdf_to_tplot + +from .config import CONFIG + + +def load(trange=['2020-11-5', '2020-11-6'], + probe='a', + instrument='fgm', + datatype='flux', + level='l2', + suffix='', + get_support_data=False, + varformat=None, + varnames=[], + downloadonly=False, + notplot=False, + no_update=False, + time_clip=False): + """ + This function loads data from the ELFIN mission; this function is not meant + to be called directly; instead, see the wrappers: + + pyspedas.elfin.fgm + pyspedas.elfin.epd + pyspedas.elfin.mrma + pyspedas.elfin.mrmi + pyspedas.elfin.state + pyspedas.elfin.eng + + """ + + if instrument == 'fgm': + datatype_str = 'fgs' + if datatype.lower() == 'fast': + datatype_str = 'fgf' + pathformat = f'el{probe}/{level}/{instrument}/{datatype}/%Y/el{probe}_{level}_{datatype_str}_%Y%m%d_v??.cdf' + elif instrument == 'epd': + if datatype == 'pef': + pathformat = f'el{probe}/{level}/{instrument}/fast/electron/%Y/el{probe}_{level}_epdef_%Y%m%d_v??.cdf' + elif datatype == 'pif': + pathformat = f'el{probe}/{level}/{instrument}/fast/ion/%Y/el{probe}_{level}_epdif_%Y%m%d_v??.cdf' + elif datatype == 'pes': + pathformat = f'el{probe}/{level}/{instrument}/survey/electron/%Y/el{probe}_{level}_epdes_%Y%m%d_v??.cdf' + elif datatype == 'pis': + pathformat = f'el{probe}/{level}/{instrument}/survey/ion/%Y/el{probe}_{level}_epdis_%Y%m%d_v??.cdf' + elif instrument == 'mrma': + pathformat = f'el{probe}/{level}/{instrument}/%Y/el{probe}_{level}_{instrument}_%Y%m%d_v??.cdf' + elif instrument == 'mrmi': + pathformat = f'el{probe}/{level}/{instrument}/%Y/el{probe}_{level}_{instrument}_%Y%m%d_v??.cdf' + elif instrument == 'state': + pathformat = f'el{probe}/{level}/{instrument}/{datatype}/%Y/el{probe}_{level}_{instrument}_{datatype}_%Y%m%d_v??.cdf' + elif instrument == 'eng': + pathformat = f'el{probe}/{level}/{instrument}/%Y/el{probe}_{level}_{instrument}_%Y%m%d_v??.cdf' + + # find the full remote path names using the trange + remote_names = dailynames(file_format=pathformat, trange=trange) + + out_files = [] + + files = download(remote_file=remote_names, remote_path=CONFIG['remote_data_dir'], local_path=CONFIG['local_data_dir'], no_download=no_update) + + if files is not None: + for file in files: + out_files.append(file) + + out_files = sorted(out_files) + + if downloadonly: + return out_files + + tvars = cdf_to_tplot(out_files, suffix=suffix, get_support_data=get_support_data, varformat=varformat, + varnames=varnames, notplot=notplot) + + if notplot: + return tvars + + if time_clip: + for new_var in tvars: + tclip(new_var, trange[0], trange[1], suffix='') + + return tvars diff --git a/pyspedas/elfin/tests/__init__.py b/pyspedas/elfin/tests/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/pyspedas/elfin/tests/tests.py b/pyspedas/elfin/tests/tests.py new file mode 100644 index 00000000..04493812 --- /dev/null +++ b/pyspedas/elfin/tests/tests.py @@ -0,0 +1,45 @@ +import os +import unittest +from pyspedas.utilities.data_exists import data_exists +import pyspedas + + +class LoadTestCases(unittest.TestCase): + def test_load_fgm_data(self): + out_vars = pyspedas.elfin.fgm(time_clip=True) + self.assertTrue(data_exists('ela_fgs')) + + def test_load_epd_data(self): + out_vars = pyspedas.elfin.epd() + self.assertTrue(data_exists('ela_pef')) + + def test_load_mrma_data(self): + out_vars = pyspedas.elfin.mrma() + self.assertTrue(data_exists('ela_mrma')) + + def test_load_mrmi_data(self): + out_vars = pyspedas.elfin.mrmi() + self.assertTrue(data_exists('ela_mrmi')) + + def test_load_state_data(self): + out_vars = pyspedas.elfin.state() + self.assertTrue(data_exists('ela_pos_gei')) + self.assertTrue(data_exists('ela_vel_gei')) + + def test_load_eng_data(self): + out_vars = pyspedas.elfin.eng() + self.assertTrue(data_exists('ela_fc_idpu_temp')) + + def test_load_notplot(self): + out_vars = pyspedas.elfin.epd(notplot=True) + self.assertTrue('ela_pef' in out_vars) + + def test_downloadonly(self): + files = pyspedas.elfin.epd(downloadonly=True, trange=['2020-11-01', '2020-11-02']) + self.assertTrue(os.path.exists(files[0])) + + +if __name__ == '__main__': + unittest.main() + + \ No newline at end of file From 6fbff87aafd00d2b470a50142e8ed31ac088f198 Mon Sep 17 00:00:00 2001 From: supervised Date: Wed, 18 Jan 2023 18:31:15 -0800 Subject: [PATCH 02/29] now only loading the latest available version of the CDF (should fix the issue with day boundaries) --- pyspedas/elfin/load.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyspedas/elfin/load.py b/pyspedas/elfin/load.py index bf1557f3..fdbf44ca 100644 --- a/pyspedas/elfin/load.py +++ b/pyspedas/elfin/load.py @@ -60,7 +60,7 @@ def load(trange=['2020-11-5', '2020-11-6'], out_files = [] - files = download(remote_file=remote_names, remote_path=CONFIG['remote_data_dir'], local_path=CONFIG['local_data_dir'], no_download=no_update) + files = download(remote_file=remote_names, remote_path=CONFIG['remote_data_dir'], local_path=CONFIG['local_data_dir'], no_download=no_update, last_version=True) if files is not None: for file in files: From dc204ab9bdf35bb146fe1fe8974d089f10630a44 Mon Sep 17 00:00:00 2001 From: Mykhaylo Shumko Date: Wed, 15 Feb 2023 15:23:27 -0500 Subject: [PATCH 03/29] Fixed the ELFIN EPD example and made a plot. In __init__.py: Added newlines to one of the load functions to be within ~80 characters. 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z%_Na%Vfi;l*(Ui#JCR(kBntHR=mx3o*zaxc%#(w5*h`;Hiu_Eaa>_V*R7qBbDKq{= z!ADv}IvFE)A981^^p&J&kLCvF^LRBB)bzgiiP&44IfWV(vvcj((q z-saI$u&&^mZA(^S|JUKjl?`OHMN%yd82_ z6LYS)5yp`uIndfp7svJZHY{uuL_}1L@qn*n=^39 zW*FZofKd_I+1YT3-DxI0o37<+UP!aE`>Lug`P!UB6jb|W2M*qG=l-oH_36jc%jUi)U!GHTZ=p;1k7>07 zpEuZld#9!@c&n&NQ2#bCEtgqiTkJPZYs~;@Ro}S}7bKtgp z2M$qH*%=}vLX|!z%T|R~HYCA!`sy{MMi%;LrLgmPZbI1SlM_;zh{qR Date: Fri, 14 Apr 2023 07:21:43 -0600 Subject: [PATCH 04/29] Refactored load routines by instruments --- pyspedas/elfin/eng/__init__.py | 0 pyspedas/elfin/eng/eng.py | 85 ++++++++++++++++++++++++++++++ pyspedas/elfin/epd/__init__.py | 0 pyspedas/elfin/epd/epd.py | 88 ++++++++++++++++++++++++++++++++ pyspedas/elfin/fgm/__init__.py | 0 pyspedas/elfin/fgm/fgm.py | 87 +++++++++++++++++++++++++++++++ pyspedas/elfin/mrma/__init__.py | 0 pyspedas/elfin/mrma/mrma.py | 85 ++++++++++++++++++++++++++++++ pyspedas/elfin/mrmi/__init__.py | 0 pyspedas/elfin/mrmi/mrmi.py | 78 ++++++++++++++++++++++++++++ pyspedas/elfin/state/__init__.py | 0 pyspedas/elfin/state/state.py | 86 +++++++++++++++++++++++++++++++ pyspedas/elfin/tests/tests.py | 1 + 13 files changed, 510 insertions(+) create mode 100644 pyspedas/elfin/eng/__init__.py create mode 100644 pyspedas/elfin/eng/eng.py create mode 100644 pyspedas/elfin/epd/__init__.py create mode 100644 pyspedas/elfin/epd/epd.py create mode 100644 pyspedas/elfin/fgm/__init__.py create mode 100644 pyspedas/elfin/fgm/fgm.py create mode 100644 pyspedas/elfin/mrma/__init__.py create mode 100644 pyspedas/elfin/mrma/mrma.py create mode 100644 pyspedas/elfin/mrmi/__init__.py create mode 100644 pyspedas/elfin/mrmi/mrmi.py create mode 100644 pyspedas/elfin/state/__init__.py create mode 100644 pyspedas/elfin/state/state.py diff --git a/pyspedas/elfin/eng/__init__.py b/pyspedas/elfin/eng/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/pyspedas/elfin/eng/eng.py b/pyspedas/elfin/eng/eng.py new file mode 100644 index 00000000..1bcbe2a7 --- /dev/null +++ b/pyspedas/elfin/eng/eng.py @@ -0,0 +1,85 @@ +from .load import load + +def eng(trange=['2020-11-5', '2020-11-6'], + probe='a', + datatype='eng_datatype', + level='l1', + suffix='', + get_support_data=False, + varformat=None, + varnames=[], + downloadonly=False, + notplot=False, + no_update=False, + time_clip=False): + """ + This function loads data from the Engineering (ENG) + + Parameters + ---------- + trange : list of str + time range of interest [starttime, endtime] with the format + 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day + ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] + + probe: str + Spacecraft identifier ('a' or 'b') + + datatype: str + Data type; Valid options: + 'eng_datatype' for L1 data + + level: str + Data level; options: 'l1' (default: l1) + + suffix: str + The tplot variable names will be given this suffix. By default, + no suffix is added. + + get_support_data: bool + Data with an attribute "VAR_TYPE" with a value of "support_data" + will be loaded into tplot. By default, only loads in data with a + "VAR_TYPE" attribute of "data". + + varformat: str + The file variable formats to load into tplot. Wildcard character + "*" is accepted. By default, all variables are loaded in. + + varnames: list of str + List of variable names to load (if not specified, + all data variables are loaded) + + downloadonly: bool + Set this flag to download the CDF files, but not load them into + tplot variables + + notplot: bool + Return the data in hash tables instead of creating tplot variables + + no_update: bool + If set, only load data from your local cache + + time_clip: bool + Time clip the variables to exactly the range specified in the trange keyword + + Returns + ---------- + List of tplot variables created. + + """ + tvars = load(instrument='eng', probe=probe, trange=trange, level=level, datatype=datatype, suffix=suffix, + get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, + notplot=notplot, time_clip=time_clip, no_update=no_update) + + if tvars is None or notplot or downloadonly: + return tvars + + return eng_postprocessing(tvars) + + +def eng_postprocessing(variables): + """ + Placeholder for ENG post-processing + """ + return variables + diff --git a/pyspedas/elfin/epd/__init__.py b/pyspedas/elfin/epd/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/pyspedas/elfin/epd/epd.py b/pyspedas/elfin/epd/epd.py new file mode 100644 index 00000000..21ec9579 --- /dev/null +++ b/pyspedas/elfin/epd/epd.py @@ -0,0 +1,88 @@ +from .load import load + +def epd(trange=['2020-11-01', '2020-11-02'], + probe='a', + datatype='pef', + level='l1', + suffix='', + get_support_data=False, + varformat=None, + varnames=[], + downloadonly=False, + notplot=False, + no_update=False, + time_clip=False): + """ + This function loads data from the Energetic Particle Detector (EPD) + + Parameters + ---------- + trange : list of str + time range of interest [starttime, endtime] with the format + 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day + ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] + + probe: str + Spacecraft identifier ('a' or 'b') + + datatype: str + Data type; Valid options: + 'pef' for L1 data + 'pif' for L1 data + 'pes' for L1 data + 'pis' for L1 data + + level: str + Data level; options: 'l1' (default: l1) + + suffix: str + The tplot variable names will be given this suffix. By default, + no suffix is added. + + get_support_data: bool + Data with an attribute "VAR_TYPE" with a value of "support_data" + will be loaded into tplot. By default, only loads in data with a + "VAR_TYPE" attribute of "data". + + varformat: str + The file variable formats to load into tplot. Wildcard character + "*" is accepted. By default, all variables are loaded in. + + varnames: list of str + List of variable names to load (if not specified, + all data variables are loaded) + + downloadonly: bool + Set this flag to download the CDF files, but not load them into + tplot variables + + notplot: bool + Return the data in hash tables instead of creating tplot variables + + no_update: bool + If set, only load data from your local cache + + time_clip: bool + Time clip the variables to exactly the range specified in the trange keyword + + Returns + ---------- + List of tplot variables created. + + """ + tvars = load(instrument='epd', probe=probe, trange=trange, level=level, datatype=datatype, suffix=suffix, + get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, + notplot=notplot, time_clip=time_clip, no_update=no_update) + + if tvars is None or notplot or downloadonly: + return tvars + + return epd_postprocessing(tvars) + + +def epd_postprocessing(variables): + """ + Placeholder for EPD post-processing + """ + return variables + diff --git a/pyspedas/elfin/fgm/__init__.py b/pyspedas/elfin/fgm/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/pyspedas/elfin/fgm/fgm.py b/pyspedas/elfin/fgm/fgm.py new file mode 100644 index 00000000..e5ee13a5 --- /dev/null +++ b/pyspedas/elfin/fgm/fgm.py @@ -0,0 +1,87 @@ +from .load import load + + +def fgm(trange=['2020-10-01', '2020-10-02'], + probe='a', + datatype='survey', + level='l1', + suffix='', + get_support_data=False, + varformat=None, + varnames=[], + downloadonly=False, + notplot=False, + no_update=False, + time_clip=False): + """ + This function loads data from the Fluxgate Magnetometer (FGM) + + Parameters + ---------- + trange : list of str + time range of interest [starttime, endtime] with the format + 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day + ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] + + probe: str + Spacecraft identifier ('a' or 'b') + + datatype: str + Data type; Valid options: + 'fast', 'survey' for L1 data + + level: str + Data level; options: 'l1' (default: l1) + + suffix: str + The tplot variable names will be given this suffix. By default, + no suffix is added. + + get_support_data: bool + Data with an attribute "VAR_TYPE" with a value of "support_data" + will be loaded into tplot. By default, only loads in data with a + "VAR_TYPE" attribute of "data". + + varformat: str + The file variable formats to load into tplot. Wildcard character + "*" is accepted. By default, all variables are loaded in. + + varnames: list of str + List of variable names to load (if not specified, + all data variables are loaded) + + downloadonly: bool + Set this flag to download the CDF files, but not load them into + tplot variables + + notplot: bool + Return the data in hash tables instead of creating tplot variables + + no_update: bool + If set, only load data from your local cache + + time_clip: bool + Time clip the variables to exactly the range specified in the trange keyword + + Returns + ---------- + List of tplot variables created. + + """ + tvars = load(instrument='fgm', probe=probe, trange=trange, level=level, + datatype=datatype, suffix=suffix, get_support_data=get_support_data, + varformat=varformat, varnames=varnames, downloadonly=downloadonly, + notplot=notplot, time_clip=time_clip, no_update=no_update) + + if tvars is None or notplot or downloadonly: + return tvars + + return fgm_postprocessing(tvars) + + +def fgm_postprocessing(variables): + """ + Placeholder for FGM post-processing + """ + return variables + diff --git a/pyspedas/elfin/mrma/__init__.py b/pyspedas/elfin/mrma/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/pyspedas/elfin/mrma/mrma.py b/pyspedas/elfin/mrma/mrma.py new file mode 100644 index 00000000..fda580de --- /dev/null +++ b/pyspedas/elfin/mrma/mrma.py @@ -0,0 +1,85 @@ +from .load import load + +def mrma(trange=['2020-11-5', '2020-11-6'], + probe='a', + datatype='mrma', + level='l1', + suffix='', + get_support_data=False, + varformat=None, + varnames=[], + downloadonly=False, + notplot=False, + no_update=False, + time_clip=False): + """ + This function loads data from the Magneto Resistive Magnetometer (MRMa) + + Parameters + ---------- + trange : list of str + time range of interest [starttime, endtime] with the format + 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day + ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] + + probe: str + Spacecraft identifier ('a' or 'b') + + datatype: str + Data type; Valid options: + 'mrma' for L1 data + + level: str + Data level; options: 'l1' (default: l1) + + suffix: str + The tplot variable names will be given this suffix. By default, + no suffix is added. + + get_support_data: bool + Data with an attribute "VAR_TYPE" with a value of "support_data" + will be loaded into tplot. By default, only loads in data with a + "VAR_TYPE" attribute of "data". + + varformat: str + The file variable formats to load into tplot. Wildcard character + "*" is accepted. By default, all variables are loaded in. + + varnames: list of str + List of variable names to load (if not specified, + all data variables are loaded) + + downloadonly: bool + Set this flag to download the CDF files, but not load them into + tplot variables + + notplot: bool + Return the data in hash tables instead of creating tplot variables + + no_update: bool + If set, only load data from your local cache + + time_clip: bool + Time clip the variables to exactly the range specified in the trange keyword + + Returns + ---------- + List of tplot variables created. + + """ + tvars = load(instrument='mrma', probe=probe, trange=trange, level=level, datatype=datatype, suffix=suffix, + get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, + notplot=notplot, time_clip=time_clip, no_update=no_update) + + if tvars is None or notplot or downloadonly: + return tvars + + return mrma_postprocessing(tvars) + + +def mrma_postprocessing(variables): + """ + Placeholder for MRMa post-processing + """ + return variables + diff --git a/pyspedas/elfin/mrmi/__init__.py b/pyspedas/elfin/mrmi/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/pyspedas/elfin/mrmi/mrmi.py b/pyspedas/elfin/mrmi/mrmi.py new file mode 100644 index 00000000..450e4121 --- /dev/null +++ b/pyspedas/elfin/mrmi/mrmi.py @@ -0,0 +1,78 @@ +from .load import load + +def mrmi(trange=['2020-11-5', '2020-11-6'], + probe='a', + datatype='mrmi', + level='l1', + suffix='', + get_support_data=False, + varformat=None, + varnames=[], + downloadonly=False, + notplot=False, + no_update=False, + time_clip=False): + """ + This function loads data from the Magneto Resistive Magnetometer (MRMi) + + Parameters + ---------- + trange : list of str + time range of interest [starttime, endtime] with the format + 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day + ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] + + probe: str + Spacecraft identifier ('a' or 'b') + + datatype: str + Data type; Valid options: + 'mrmi' for L1 data + + level: str + Data level; options: 'l1' (default: l1) + + suffix: str + The tplot variable names will be given this suffix. By default, + no suffix is added. + + get_support_data: bool + Data with an attribute "VAR_TYPE" with a value of "support_data" + will be loaded into tplot. By default, only loads in data with a + "VAR_TYPE" attribute of "data". + + varformat: str + The file variable formats to load into tplot. Wildcard character + "*" is accepted. By default, all variables are loaded in. + + varnames: list of str + List of variable names to load (if not specified, + all data variables are loaded) + + downloadonly: bool + Set this flag to download the CDF files, but not load them into + tplot variables + + notplot: bool + Return the data in hash tables instead of creating tplot variables + + no_update: bool + If set, only load data from your local cache + + time_clip: bool + Time clip the variables to exactly the range specified in the trange keyword + + Returns + ---------- + List of tplot variables created. + + """ + tvars = load(instrument='mrmi', probe=probe, trange=trange, level=level, datatype=datatype, suffix=suffix, + get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, + notplot=notplot, time_clip=time_clip, no_update=no_update) + + if tvars is None or notplot or downloadonly: + return tvars + + return mrmi_postprocessing(tvars) + diff --git a/pyspedas/elfin/state/__init__.py b/pyspedas/elfin/state/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/pyspedas/elfin/state/state.py b/pyspedas/elfin/state/state.py new file mode 100644 index 00000000..7d2d1fe1 --- /dev/null +++ b/pyspedas/elfin/state/state.py @@ -0,0 +1,86 @@ +from .load import load + +def state(trange=['2020-11-5/10:00', '2020-11-5/12:00'], + probe='a', + datatype='defn', + level='l1', + suffix='', + get_support_data=False, + varformat=None, + varnames=[], + downloadonly=False, + notplot=False, + no_update=False, + time_clip=True): + """ + This function loads data from the State data (state) + + Parameters + ---------- + trange : list of str + time range of interest [starttime, endtime] with the format + 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day + ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] + + probe: str + Spacecraft identifier ('a' or 'b') + + datatype: str + Data type; Valid options: + 'defn' (default) + 'pred' + + level: str + Data level; options: 'l1' (default: l1) + + suffix: str + The tplot variable names will be given this suffix. By default, + no suffix is added. + + get_support_data: bool + Data with an attribute "VAR_TYPE" with a value of "support_data" + will be loaded into tplot. By default, only loads in data with a + "VAR_TYPE" attribute of "data". + + varformat: str + The file variable formats to load into tplot. Wildcard character + "*" is accepted. By default, all variables are loaded in. + + varnames: list of str + List of variable names to load (if not specified, + all data variables are loaded) + + downloadonly: bool + Set this flag to download the CDF files, but not load them into + tplot variables + + notplot: bool + Return the data in hash tables instead of creating tplot variables + + no_update: bool + If set, only load data from your local cache + + time_clip: bool + Time clip the variables to exactly the range specified in the trange keyword + + Returns + ---------- + List of tplot variables created. + + """ + tvars = load(instrument='state', probe=probe, trange=trange, level=level, datatype=datatype, suffix=suffix, + get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, + notplot=notplot, time_clip=time_clip, no_update=no_update) + + if tvars is None or notplot or downloadonly: + return tvars + + return state_postprocessing(tvars) + + +def state_postprocessing(variables): + """ + Placeholder for State post-processing + """ + return variables + diff --git a/pyspedas/elfin/tests/tests.py b/pyspedas/elfin/tests/tests.py index 04493812..449ac6ce 100644 --- a/pyspedas/elfin/tests/tests.py +++ b/pyspedas/elfin/tests/tests.py @@ -5,6 +5,7 @@ class LoadTestCases(unittest.TestCase): + def test_load_fgm_data(self): out_vars = pyspedas.elfin.fgm(time_clip=True) self.assertTrue(data_exists('ela_fgs')) From b0dcf85f459ee85f25d084ad58276ebcd176da4e Mon Sep 17 00:00:00 2001 From: clrussell90404 Date: Fri, 14 Apr 2023 11:57:53 -0700 Subject: [PATCH 05/29] test commit --- pyspedas/elfin/load.py | 1 + 1 file changed, 1 insertion(+) diff --git a/pyspedas/elfin/load.py b/pyspedas/elfin/load.py index fdbf44ca..81e0d8cb 100644 --- a/pyspedas/elfin/load.py +++ b/pyspedas/elfin/load.py @@ -30,6 +30,7 @@ def load(trange=['2020-11-5', '2020-11-6'], pyspedas.elfin.state pyspedas.elfin.eng + This is a test """ if instrument == 'fgm': From a70baf64b6ce1e2992f2b4a01f2a1abc467f3c0d Mon Sep 17 00:00:00 2001 From: Austin Norris Date: Sat, 17 Jun 2023 20:38:51 -0700 Subject: [PATCH 06/29] Restructure EPD top-level func and module (to match MMS) --- pyspedas/elfin/__init__.py | 88 +++----------------------------------- pyspedas/elfin/epd/epd.py | 4 +- 2 files changed, 8 insertions(+), 84 deletions(-) diff --git a/pyspedas/elfin/__init__.py b/pyspedas/elfin/__init__.py index 956d8d41..650e5b47 100644 --- a/pyspedas/elfin/__init__.py +++ b/pyspedas/elfin/__init__.py @@ -1,5 +1,11 @@ +from functools import wraps + from .load import load +from .epd.epd import elfin_load_epd +@wraps(elfin_load_epd) +def epd(*args, **kwargs): + return elfin_load_epd(*args, **kwargs) def fgm(trange=['2020-10-01', '2020-10-02'], probe='a', @@ -86,90 +92,8 @@ def fgm_postprocessing(variables): return variables -def epd(trange=['2020-11-01', '2020-11-02'], - probe='a', - datatype='pef', - level='l1', - suffix='', - get_support_data=False, - varformat=None, - varnames=[], - downloadonly=False, - notplot=False, - no_update=False, - time_clip=False): - """ - This function loads data from the Energetic Particle Detector (EPD) - - Parameters - ---------- - trange : list of str - time range of interest [starttime, endtime] with the format - 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day - ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] - - probe: str - Spacecraft identifier ('a' or 'b') - - datatype: str - Data type; Valid options: - 'pef' for L1 data - 'pif' for L1 data - 'pes' for L1 data - 'pis' for L1 data - - level: str - Data level; options: 'l1' (default: l1) - - suffix: str - The tplot variable names will be given this suffix. By default, - no suffix is added. - - get_support_data: bool - Data with an attribute "VAR_TYPE" with a value of "support_data" - will be loaded into tplot. By default, only loads in data with a - "VAR_TYPE" attribute of "data". - - varformat: str - The file variable formats to load into tplot. Wildcard character - "*" is accepted. By default, all variables are loaded in. - - varnames: list of str - List of variable names to load (if not specified, - all data variables are loaded) - - downloadonly: bool - Set this flag to download the CDF files, but not load them into - tplot variables - - notplot: bool - Return the data in hash tables instead of creating tplot variables - - no_update: bool - If set, only load data from your local cache - - time_clip: bool - Time clip the variables to exactly the range specified in the trange keyword - - Returns - ---------- - List of tplot variables created. - - """ - tvars = load(instrument='epd', probe=probe, trange=trange, level=level, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, time_clip=time_clip, no_update=no_update) - - if tvars is None or notplot or downloadonly: - return tvars - - return epd_postprocessing(tvars) -def epd_postprocessing(variables): - """ - Placeholder for EPD post-processing - """ - return variables - def mrma(trange=['2020-11-5', '2020-11-6'], probe='a', diff --git a/pyspedas/elfin/epd/epd.py b/pyspedas/elfin/epd/epd.py index 21ec9579..b1d3f49e 100644 --- a/pyspedas/elfin/epd/epd.py +++ b/pyspedas/elfin/epd/epd.py @@ -1,6 +1,6 @@ -from .load import load +from ..load import load -def epd(trange=['2020-11-01', '2020-11-02'], +def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], probe='a', datatype='pef', level='l1', From fe7282b71da962a490978e6e38d321c0cc982f46 Mon Sep 17 00:00:00 2001 From: Austin Norris Date: Sat, 17 Jun 2023 20:42:19 -0700 Subject: [PATCH 07/29] Adding EPDE calibration files (not expected to change) --- pyspedas/elfin/epd/ela_epde_cal_data.txt | 8 ++++++++ pyspedas/elfin/epd/elb_epde_cal_data.txt | 19 +++++++++++++++++++ 2 files changed, 27 insertions(+) create mode 100644 pyspedas/elfin/epd/ela_epde_cal_data.txt create mode 100644 pyspedas/elfin/epd/elb_epde_cal_data.txt diff --git a/pyspedas/elfin/epd/ela_epde_cal_data.txt b/pyspedas/elfin/epd/ela_epde_cal_data.txt new file mode 100644 index 00000000..2e42a7fc --- /dev/null +++ b/pyspedas/elfin/epd/ela_epde_cal_data.txt @@ -0,0 +1,8 @@ +; ELFIN-A EPDE Calibration Data + +Date: 2018-09-17/00:00:00 +gf: 0.15 +overaccumulation_factors: 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.15 +thresh_factors: .2, 1., 1.2, 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1. +ch_efficiencies: 0.74, 0.8, 0.85, 0.86, 0.87, 0.87, 0.87, 0.87, 0.82, 0.8, 0.75, 0.6, 0.5, 0.45, 0.25, 0.05 +ebins: 50., 80., 120., 160., 210., 270., 345., 430., 630., 900., 1300., 1800., 2500., 3350., 4150., 5800. diff --git a/pyspedas/elfin/epd/elb_epde_cal_data.txt b/pyspedas/elfin/epd/elb_epde_cal_data.txt new file mode 100644 index 00000000..014e4c3f --- /dev/null +++ b/pyspedas/elfin/epd/elb_epde_cal_data.txt @@ -0,0 +1,19 @@ +; ELFIN-B EPDE Calibration Data +Date: 2018-09-17/00:00:00 +gf: 0.15 +overaccumulation_factors: 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.15 +thresh_factors: .0325, .208, .156, .13, .13, .13, .13, .13, .13, .13, .13, .13, .13, .13, .13, .13 +ch_efficiencies: 0.74, 0.8, 0.85, 0.86, 0.87, 0.87, 0.87, 0.87, 0.82, 0.8, 0.75, 0.6, 0.5, 0.45, 0.25, 0.05 +ebins: 50., 80., 120., 160., 210., 270., 345., 430., 630., 900., 1300., 1800., 2500., 3350., 4150., 5800. +Date: 2020-05-30/00:00:00 +gf: 0.15 +overaccumulation_factors: 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.15 +thresh_factors: .13, .208, .156, .13, .13, .13, .13, .13, .13, .13, .13, .13, .13, .13, .13, .13 +ch_efficiencies: 0.74, 0.8, 0.85, 0.86, 0.87, 0.87, 0.87, 0.87, 0.82, 0.8, 0.75, 0.6, 0.5, 0.45, 0.25, 0.05 +ebins: 50., 80., 120., 160., 210., 270., 345., 430., 630., 900., 1300., 1800., 2500., 3350., 4150., 5800. +Date: 2020-08-20/10:00:00 +gf: 0.15 +overaccumulation_factors: 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.15 +thresh_factors: 1.3., 2.08, 1.56, 1.3, 1.3, 1.3, 1.3, 1.3, 1.3, 1.3, 1.3, 1.3, 1.3, 1.3, 1.3, 1.3 +ch_efficiencies: 0.74, 0.8, 0.85, 0.86, 0.87, 0.87, 0.87, 0.87, 0.82, 0.8, 0.75, 0.6, 0.5, 0.45, 0.25, 0.05 +ebins: 50., 80., 120., 160., 210., 270., 345., 430., 630., 900., 1300., 1800., 2500., 3350., 4150., 5800. From 086ae009db516a34236e61e19ca2e2c02c27c824 Mon Sep 17 00:00:00 2001 From: Austin Norris Date: Sat, 17 Jun 2023 21:20:39 -0700 Subject: [PATCH 08/29] Adds EPDE cal. file reading/parsing --- pyspedas/elfin/epd/calibration.py | 35 ++++++++++ pyspedas/elfin/tests/test_epd_calibration.py | 70 ++++++++++++++++++++ pyspedas/elfin/tests/test_epde_cal_data.txt | 13 ++++ 3 files changed, 118 insertions(+) create mode 100644 pyspedas/elfin/epd/calibration.py create mode 100644 pyspedas/elfin/tests/test_epd_calibration.py create mode 100644 pyspedas/elfin/tests/test_epde_cal_data.txt diff --git a/pyspedas/elfin/epd/calibration.py b/pyspedas/elfin/epd/calibration.py new file mode 100644 index 00000000..011236bf --- /dev/null +++ b/pyspedas/elfin/epd/calibration.py @@ -0,0 +1,35 @@ +from pathlib import Path +from typing import List, Dict + +from pyspedas import time_double + +def read_epde_calibration_data(path: Path) -> List[Dict]: + """Read ELFIN EPDE calibration data from file and return list of calibration datasets.""" + + def parse_float_line(line: str): + array_str = line.split(":")[1].strip() + return [float(f.rstrip(".")) for f in array_str.split(",")] + + lines = [] + with open(path, "r") as f: + lines = f.readlines() + + date_lines = (i for i, line in enumerate(lines) if line.startswith("Date")) + calibrations = [] + for i in date_lines: + + date_str = lines[i].split(":")[1].strip() + gf_str = lines[i+1].split(":")[1].strip() + + cal = { + "date": time_double(date_str), + "gf": float(gf_str), + "overaccumulation_factors": parse_float_line(lines[i+2]), + "thresh_factors": parse_float_line(lines[i+3]), + "ch_efficiencies": parse_float_line(lines[i+4]), + "ebins": parse_float_line(lines[i+5]), + } + + calibrations.append(cal) + + return calibrations \ No newline at end of file diff --git a/pyspedas/elfin/tests/test_epd_calibration.py b/pyspedas/elfin/tests/test_epd_calibration.py new file mode 100644 index 00000000..826e9a8f --- /dev/null +++ b/pyspedas/elfin/tests/test_epd_calibration.py @@ -0,0 +1,70 @@ +import unittest +import importlib.resources + +from pyspedas.elfin.epd.calibration import read_epde_calibration_data + +EXPECTED_EPDE_CAL_DATA = [ + {'ch_efficiencies': [0.74, 0.8, 0.85, 0.86, 0.87, 0.87, 0.87, 0.87, 0.82, 0.8, 0.75, 0.6, 0.5, 0.45, 0.25, 0.05], + 'date': 1262390400.0, + 'ebins': [50.0, + 80.0, + 120.0, + 160.0, + 210.0, + 270.0, + 345.0, + 430.0, + 630.0, + 900.0, + 1300.0, + 1800.0, + 2500.0, + 3350.0, + 4150.0, + 5800.0], + 'gf': 0.15, + 'overaccumulation_factors': [1.0, 2.0, 3.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.15], + 'thresh_factors': [0.0325, + 0.208, + 0.156, + 0.13, + 0.13, + 0.13, + 0.13, + 0.13, + 0.13, + 0.13, + 0.13, + 0.13, + 0.13, + 0.13, + 0.13, + 0.13]}, + {'ch_efficiencies': [0.74, 0.8, 0.85, 0.86, 0.87, 0.87, 0.87, 0.87, 0.82, 0.8, 0.75, 0.6, 0.5, 0.45, 0.25, 0.05], + 'date': 1296705600.0, + 'ebins': [50.0, + 80.0, + 120.0, + 160.0, + 210.0, + 270.0, + 345.0, + 430.0, + 630.0, + 900.0, + 1300.0, + 1800.0, + 2500.0, + 3350.0, + 4150.0, + 5800.0], + 'gf': 3.14, + 'overaccumulation_factors': [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.9, 1.0], + 'thresh_factors': [0.13, 0.208, 0.156, 0.13, 0.13, 0.13, 0.13, 0.13, 0.13, 0.13, 0.13, 0.13, 0.13, 0.13, 0.13, 0.13]} +] + +class EPDCalibrationTestCases(unittest.TestCase): + + def test_read_epde_calibration_data(self): + test_file_path = importlib.resources.path("pyspedas.elfin.tests", "test_epde_cal_data.txt") + self.assertListEqual(read_epde_calibration_data(test_file_path), EXPECTED_EPDE_CAL_DATA) \ No newline at end of file diff --git a/pyspedas/elfin/tests/test_epde_cal_data.txt b/pyspedas/elfin/tests/test_epde_cal_data.txt new file mode 100644 index 00000000..2fea3d39 --- /dev/null +++ b/pyspedas/elfin/tests/test_epde_cal_data.txt @@ -0,0 +1,13 @@ +; Test EPDE Calibration Data -- FOR PARSING TEST PURPOSES ONLY +Date: 2010-01-02/00:05:31 +gf: 0.15 +overaccumulation_factors: 1., 2., 3., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.15 +thresh_factors: .0325, .208, .156, .13., .13, .13, .13, .13, .13, .13, .13, .13, .13, .13, .13, .13 +ch_efficiencies: 0.74, 0.8, 0.85, 0.86, 0.87, 0.87, 0.87, 0.87, 0.82, 0.8, 0.75, 0.6, 0.5, 0.45, 0.25, 0.05 +ebins: 50., 80., 120., 160., 210., 270., 345., 430., 630., 900., 1300., 1800., 2500., 3350., 4150., 5800. +Date: 2011-02-03/04:05:06 +gf: 3.14 +overaccumulation_factors: 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.9, 1. +thresh_factors: .13., .208, .156, .13, .13, .13, .13, .13, .13, .13, .13, .13, .13, .13, .13, .13 +ch_efficiencies: 0.74, 0.8, 0.85, 0.86, 0.87, 0.87, 0.87, 0.87, 0.82, 0.8, 0.75, 0.6, 0.5, 0.45, 0.25, 0.05 +ebins: 50., 80., 120., 160., 210., 270., 345., 430., 630., 900., 1300., 1800., 2500., 3350., 4150., 5800. From 7386e27d9f0d4bb56692c2800f747bf10433ab5a Mon Sep 17 00:00:00 2001 From: Austin Norris Date: Sun, 18 Jun 2023 13:14:13 -0700 Subject: [PATCH 09/29] Modifies EPD load routine for postprocessing --- pyspedas/elfin/epd/calibration.py | 19 +++++++-- pyspedas/elfin/epd/epd.py | 67 ++++++++++++++++++++++++++++--- 2 files changed, 78 insertions(+), 8 deletions(-) diff --git a/pyspedas/elfin/epd/calibration.py b/pyspedas/elfin/epd/calibration.py index 011236bf..ccc2204a 100644 --- a/pyspedas/elfin/epd/calibration.py +++ b/pyspedas/elfin/epd/calibration.py @@ -1,10 +1,23 @@ -from pathlib import Path +import pathlib from typing import List, Dict from pyspedas import time_double -def read_epde_calibration_data(path: Path) -> List[Dict]: - """Read ELFIN EPDE calibration data from file and return list of calibration datasets.""" +def read_epde_calibration_data(path: pathlib.Path) -> List[Dict]: + """ + Read ELFIN EPDE calibration data from file and return + list of parsed calibration datasets. + + Parameters + ---------- + path : pathlib.Path + The path to the calibration data file. + + Returns + ---------- + List of EPDE calibration data parsed from the file. + + """ def parse_float_line(line: str): array_str = line.split(":")[1].strip() diff --git a/pyspedas/elfin/epd/epd.py b/pyspedas/elfin/epd/epd.py index b1d3f49e..59e31a17 100644 --- a/pyspedas/elfin/epd/epd.py +++ b/pyspedas/elfin/epd/epd.py @@ -4,6 +4,7 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], probe='a', datatype='pef', level='l1', + type_='nflux', suffix='', get_support_data=False, varformat=None, @@ -11,7 +12,10 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], downloadonly=False, notplot=False, no_update=False, - time_clip=False): + time_clip=False, + nspinsinsum=None, + no_spec=False, +): """ This function loads data from the Energetic Particle Detector (EPD) @@ -35,6 +39,10 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], level: str Data level; options: 'l1' (default: l1) + type_ : str + Calibrated data type, one of ('raw', 'cps', 'nflux', 'eflux'). ('eflux' not fully tested) + Default: 'nflux'. + suffix: str The tplot variable names will be given this suffix. By default, no suffix is added. @@ -65,6 +73,9 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], time_clip: bool Time clip the variables to exactly the range specified in the trange keyword + nspinsinsum : int, optional + Number of spins in sum which is needed by the calibration function. + Returns ---------- List of tplot variables created. @@ -77,12 +88,58 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], if tvars is None or notplot or downloadonly: return tvars - return epd_postprocessing(tvars) + CALIBRATED_TYPE_UNITS = { + "raw": "counts/sector", + "cps": "counts/s", + "nflux": "#/(scm!U2!NstrMeV)", + "eflux": "keV/(scm!U2!NstrMeV)", + } + + if type_ in ("cal", "calibrated") or type_ not in CALIBRATED_TYPE_UNITS.keys(): + type_ = "nflux" + return epd_postprocessing(tvars, trange=trange, type_=type_, nspinsinsum=nspinsinsum, + unit=CALIBRATED_TYPE_UNITS[type_], no_spec=no_spec) -def epd_postprocessing(variables): + +def epd_postprocessing( + tplotnames, + trange=None, + type_=None, + nspinsinsum=None, + unit=None, + no_spec=False, +): """ - Placeholder for EPD post-processing + Calibrates data from the Energetic Particle Detector (EPD) and sets dlimits. + + Parameters + ---------- + tplotnames : list of str + The tplot names of EPD data to be postprocessed. + + trange : list of str + Time range of interest [starttime, endtime] with the format + ['YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day + ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] + + type_ : str, optional + Desired data type. Options: 'raw', 'cps', 'nflux', 'eflux'. + + nspinsinsum : int, optional + Number of spins in sum which is needed by the calibration function. + + unit : str, optional + Units of the data. + + no_spec : bool + Flag to set tplot options to linear rather than the default of spec. + Default is False. + + Returns + ---------- + List of tplot variables created. """ - return variables + + return tplotnames From 24b61dbdb66e6add59a56f14f3685835b5180502 Mon Sep 17 00:00:00 2001 From: Austin Norris Date: Sun, 18 Jun 2023 14:07:26 -0700 Subject: [PATCH 10/29] Fix use of context manager --- pyspedas/elfin/tests/test_epd_calibration.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pyspedas/elfin/tests/test_epd_calibration.py b/pyspedas/elfin/tests/test_epd_calibration.py index 826e9a8f..e440139a 100644 --- a/pyspedas/elfin/tests/test_epd_calibration.py +++ b/pyspedas/elfin/tests/test_epd_calibration.py @@ -66,5 +66,5 @@ class EPDCalibrationTestCases(unittest.TestCase): def test_read_epde_calibration_data(self): - test_file_path = importlib.resources.path("pyspedas.elfin.tests", "test_epde_cal_data.txt") - self.assertListEqual(read_epde_calibration_data(test_file_path), EXPECTED_EPDE_CAL_DATA) \ No newline at end of file + with importlib.resources.path("pyspedas.elfin.tests", "test_epde_cal_data.txt") as test_file_path: + self.assertListEqual(read_epde_calibration_data(test_file_path), EXPECTED_EPDE_CAL_DATA) \ No newline at end of file From fe4d36b4d4902dbdc135754ce8792a9e4ed6b094 Mon Sep 17 00:00:00 2001 From: Austin Norris Date: Sun, 18 Jun 2023 14:18:41 -0700 Subject: [PATCH 11/29] More work on postprocessing skeleton --- pyspedas/elfin/epd/epd.py | 56 ++++-------------- pyspedas/elfin/epd/postprocessing.py | 85 ++++++++++++++++++++++++++++ 2 files changed, 97 insertions(+), 44 deletions(-) create mode 100644 pyspedas/elfin/epd/postprocessing.py diff --git a/pyspedas/elfin/epd/epd.py b/pyspedas/elfin/epd/epd.py index 59e31a17..54eac7e4 100644 --- a/pyspedas/elfin/epd/epd.py +++ b/pyspedas/elfin/epd/epd.py @@ -1,4 +1,8 @@ +import logging + from ..load import load +from .postprocessing import epd_l1_postprocessing + def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], probe='a', @@ -98,48 +102,12 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], if type_ in ("cal", "calibrated") or type_ not in CALIBRATED_TYPE_UNITS.keys(): type_ = "nflux" - return epd_postprocessing(tvars, trange=trange, type_=type_, nspinsinsum=nspinsinsum, - unit=CALIBRATED_TYPE_UNITS[type_], no_spec=no_spec) - - -def epd_postprocessing( - tplotnames, - trange=None, - type_=None, - nspinsinsum=None, - unit=None, - no_spec=False, -): - """ - Calibrates data from the Energetic Particle Detector (EPD) and sets dlimits. - - Parameters - ---------- - tplotnames : list of str - The tplot names of EPD data to be postprocessed. - - trange : list of str - Time range of interest [starttime, endtime] with the format - ['YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day - ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] - - type_ : str, optional - Desired data type. Options: 'raw', 'cps', 'nflux', 'eflux'. - - nspinsinsum : int, optional - Number of spins in sum which is needed by the calibration function. - - unit : str, optional - Units of the data. - - no_spec : bool - Flag to set tplot options to linear rather than the default of spec. - Default is False. - - Returns - ---------- - List of tplot variables created. - """ - - return tplotnames + if level == "l1": + return epd_l1_postprocessing(tvars, trange=trange, type_=type_, nspinsinsum=nspinsinsum, + unit=CALIBRATED_TYPE_UNITS[type_], no_spec=no_spec) + elif level == "l2": + logging.warning("ELFIN EPD L2 postprocessing not yet supported") + else: + raise ValueError(f"Unknown level: {level}") + return tvars diff --git a/pyspedas/elfin/epd/postprocessing.py b/pyspedas/elfin/epd/postprocessing.py new file mode 100644 index 00000000..13b3e0c1 --- /dev/null +++ b/pyspedas/elfin/epd/postprocessing.py @@ -0,0 +1,85 @@ +import logging + +from pytplot import get, store, del_data, tnames, tplot_rename, options + + +def epd_l1_postprocessing( + tplotnames, + trange=None, + type_=None, + nspinsinsum=None, + unit=None, + no_spec=False, +): + """ + Calibrates data from the Energetic Particle Detector (EPD) and sets dlimits. + + Parameters + ---------- + tplotnames : list of str + The tplot names of EPD data to be postprocessed. + + trange : list of str + Time range of interest [starttime, endtime] with the format + ['YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day + ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] + + type_ : str, optional + Desired data type. Options: 'raw', 'cps', 'nflux', 'eflux'. + + nspinsinsum : int, optional + Number of spins in sum which is needed by the calibration function. + + unit : str, optional + Units of the data. + + no_spec : bool + Flag to set tplot options to linear rather than the default of spec. + Default is False. + + Returns + ---------- + List of tplot variables created. + + """ + + tplotnames = tplotnames.copy() + + # Calibrate spinper to turn it to seconds + FGM_SAMPLE_RATE = 80.0 + + for name in filter(lambda n: "spinper" in n, tplotnames): + d = get(name) + cal_spinper = d.y / FGM_SAMPLE_RATE + store(name, {"x": d.times, "y": cal_spinper}, attr_dict=get(name, metadata=True)) + + if nspinsinsum is None: + tn = tnames("*nspinsinsum*") + nspin = get(tn[0]) + nspinsinsum = nspin.y if nspin is not None else 1 + + new_tvars = [] + for name in tplotnames: + if "energies" in name: + del_data(name) + continue + if "sectnum" in name: + continue + if "spinper" in name: + continue + if "nspinsinsum" in name: + continue + if "nsectors" in name: + continue + + new_name = f"{name}_{type_}" + tplot_rename(name, new_name) + new_tvars.append(new_name) + + # calibrate_epd(new_name, + # trange=trange, + # type_=type_, + # nspinsinsum=nspinsinsum) + logging.warning("EPD L1 calibration is a no-op currently") + + return new_tvars From 9d55da49934344f4bbaa790690268742b748ec30 Mon Sep 17 00:00:00 2001 From: Austin Norris Date: Sun, 18 Jun 2023 14:23:49 -0700 Subject: [PATCH 12/29] 'store' function uses 'metadata' not 'attr_dict' param --- pyspedas/elfin/epd/postprocessing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyspedas/elfin/epd/postprocessing.py b/pyspedas/elfin/epd/postprocessing.py index 13b3e0c1..cfb63db5 100644 --- a/pyspedas/elfin/epd/postprocessing.py +++ b/pyspedas/elfin/epd/postprocessing.py @@ -51,7 +51,7 @@ def epd_l1_postprocessing( for name in filter(lambda n: "spinper" in n, tplotnames): d = get(name) cal_spinper = d.y / FGM_SAMPLE_RATE - store(name, {"x": d.times, "y": cal_spinper}, attr_dict=get(name, metadata=True)) + store(name, {"x": d.times, "y": cal_spinper}, metadata=get(name, metadata=True)) if nspinsinsum is None: tn = tnames("*nspinsinsum*") From 6a30f4cbfe50b0219e5fb3abd6ef76102b9caf06 Mon Sep 17 00:00:00 2001 From: Austin Norris Date: Sun, 18 Jun 2023 15:43:24 -0700 Subject: [PATCH 13/29] Move rest from Jupyter notebook; much QA to do still --- pyspedas/elfin/epd/calibration.py | 293 ++++++++++++++++++++++++++- pyspedas/elfin/epd/postprocessing.py | 16 +- 2 files changed, 300 insertions(+), 9 deletions(-) diff --git a/pyspedas/elfin/epd/calibration.py b/pyspedas/elfin/epd/calibration.py index ccc2204a..c76b321e 100644 --- a/pyspedas/elfin/epd/calibration.py +++ b/pyspedas/elfin/epd/calibration.py @@ -1,7 +1,12 @@ +import logging import pathlib +import importlib.resources from typing import List, Dict -from pyspedas import time_double +import numpy as np +from pyspedas import time_double, time_string +from pytplot import get_timespan, store, get, store_data, get_data + def read_epde_calibration_data(path: pathlib.Path) -> List[Dict]: """ @@ -45,4 +50,288 @@ def parse_float_line(line: str): calibrations.append(cal) - return calibrations \ No newline at end of file + return calibrations + + +def get_epde_calibration(calibration_data: Dict) -> Dict: + """ + Performs basic transformations on calibration parameters loaded + from a data file, e.g. calculate channel factors and create energy bin labels. + + Returned dictionary values are (mostly) numpy arrays for later usage. + + Parameters + ---------- + calibration_data : dict + A single set of calibration data read from a file. See `obj`:read_epde_calibration_data: + + Returns + ---------- + Dictionary with EPD gain factor, overaccumulation factors, threshold factors, + channel efficiencies, energy bins (and logmean), calibration channel factors, + and the labels for the energy bins. + + """ + + gf = calibration_data["gf"] + + overaccumulation_factors = np.array(calibration_data["overaccumulation_factors"]) + thresh_factors = np.array(calibration_data["thresh_factors"]) + ch_efficiencies = np.array(calibration_data["ch_efficiencies"]) + ebins = np.array(calibration_data["ebins"]) + + cal_ch_factors = 1.0 / (gf * thresh_factors * ch_efficiencies) + + ebins_logmean = ebins.copy() + for i in range(0, 15): + i_mean_of_logs = (np.log10(ebins[i]) + np.log10(ebins[i+1])) / 2.0 + ebins_logmean[i] = np.power(10.0, i_mean_of_logs) + ebins_logmean[15] = 6500.0 + + ebin_labels = [ + "50-80", "80-120", "120-160", "160-210", + "210-270", "270-345", "345-430", "430-630", + "630-900", "900-1300", "1300-1800", "1800-2500", + "2500-3350", "3350-4150", "4150-5800", "5800+", + ] + + calibration = { + "epd_gf": gf, + "epd_overaccumulation_factors": overaccumulation_factors, + "epd_thresh_factors": thresh_factors, + "epd_ch_efficiencies": ch_efficiencies, + "epd_ebins": ebins, + "epd_cal_ch_factors": cal_ch_factors, + "epd_ebins_logmean": ebins_logmean, + "epd_ebin_labels": ebin_labels, + } + + return calibration + + +def get_epdi_calibration() -> Dict: + """ + Ported from IDL SPEDAS elf_get_epd_calibration procedure. There are + no calibration data files for epdi. Current as of 2023-06-11. + + Vassilis Angelopoulos' most recent comments from IDL procedure reproduced. + + Returns + ---------- + Dictionary with EPD gain factor, overaccumulation factors, threshold factors, + channel efficiencies, energy bins (and logmean), calibration channel factors, + and the labels for the energy bins. + + """ + + # 9deg x 9deg (FWHM Solid Angle) by 1/4" dia. round aperture area + gf = 0.031256 + + overaccumulation_factors = np.ones(16) + thresh_factors = np.ones(16) + thresh_factors[0] = 0.2 + ch_efficiencies = np.ones(16) + + cal_ch_factors = 1.0 / (gf * thresh_factors * ch_efficiencies) + + # in keV based on Jiang Liu's Geant4 code 2019-3-5 + ebins = np.array([ + 50.0, 80.0, 120.0, 160.0, + 210.0, 270.0, 345.0, 430.0, + 630.0, 900.0, 1300.0, 1800.0, + 2500.0, 3350.0, 4150.0, 5800.0, + ]) + + ebins_logmean = ebins.copy() + for i in range(0, 15): + i_mean_of_logs = (np.log10(ebins[i]) + np.log10(ebins[i+1])) / 2.0 + ebins_logmean[i] = np.power(10.0, i_mean_of_logs) + ebins_logmean[15] = 6500.0 + + # used same bins as electrons (dead layer well below 50keV) + ebin_labels = [ + "50-80", "80-120", "120-160", "160-210", + "210-270", "270-345", "345-430", "430-630", + "630-900", "900-1300", "1300-1800", "1800-2500", + "2500-3350", "3350-4150", "4150-5800", "5800+", + ] + + calibration = { + "epd_gf": gf, + "epd_overaccumulation_factors": overaccumulation_factors, + "epd_thresh_factors": thresh_factors, + "epd_ch_efficiencies": ch_efficiencies, + "epd_ebins": ebins, + "epd_cal_ch_factors": cal_ch_factors, + "epd_ebins_logmean": ebins_logmean, + "epd_ebin_labels": ebin_labels, + } + + return calibration + + +def get_epd_calibration(probe, instrument, trange): + + if instrument == "epde": + filename = f"el{probe}_epde_cal_data.txt" + + cal_datasets = None + with importlib.resources.path("pyspedas.elfin.epd", filename) as cal_file_path: + cal_datasets = read_epde_calibration_data(cal_file_path) + + if not cal_datasets: + raise ValueError("Could not load calibration data") + + # Choose the latest calibration data preceeding the start of trange + cal_datasets.sort(key=lambda cal: cal["date"]) + filtered = list(filter(lambda cal: cal["date"] < time_double(trange[0]), cal_datasets)) + epde_cal_file_data = filtered[-1] + + cal_date = time_string(epde_cal_file_data["date"]) + logging.info(f"Using EPDE calibration data from {cal_date}") + + return get_epde_calibration(epde_cal_file_data) + + elif instrument == "epdi": + return get_epdi_calibration() + else: + raise ValueError(f"Unknown instrument: {instrument!r}") + + +def calibrate_epd( + tplotname, + trange=None, + type_="eflux", + probe=None, + deadtime_corr=None, + nspinsinsum=1, +): + """ + Ported from IDL SPEDAS elf_cal_epd procedure. Originally authored + by Colin Wilkins (colinwilkins@ucla.edu). Relevant comments on + calibration details have been reproduced here. + """ + + probe = probe if probe is not None else tplotname[2] + + sc = f"el{probe}" + if "pef" in tplotname: + instrument = "epde" + stype = "pef" + elif "pif" in tplotname: + instrument = "epdi" + stype = "pif" + + d = get(tplotname) + if not d: + return # TODO: Or raise ValueError? + + trange = time_double(trange) if trange is not None else get_timespan(tplotname) + + dspinper = get_data(f"{sc}_{stype}_spinper") + dsectnum = get_data(f"{sc}_{stype}_sectnum") + dnsectors = get_data(f"{sc}_{stype}_nsectors") + + epd_cal = get_epd_calibration(probe=probe, instrument=instrument, trange=trange) + + num_samples = len(d.times) + cal_ch_factors = epd_cal["epd_cal_ch_factors"] + overint_factors = epd_cal["epd_overaccumulation_factors"] + ebins = epd_cal["epd_ebins"] + ebins_logmean = epd_cal["epd_ebins_logmean"] + n_sectors = dnsectors.y + + dE = 1.0e-3 * (ebins[1:16] - ebins[0:15]) # in MeV + dE = np.append(dE, 6.2) + + mytimesra = np.ones(num_samples) + n_energies = len(ebins) + mynrgyra = np.ones(n_energies) + + if deadtime_corr is None: + logging.info("Deadtime correction applied with default deadtime; " + "to not apply set deadtime_corr= 0. or a tiny value, e.g. 1.e-9") + # [default ~ 2% above ~max cps in data (after overaccum. corr.) + # of 125Kcps corresponds to 8.e-6 us peak hold in front preamp] + deadtime_corr = 1.0 / (1.02 * 1.25e5) + + dt = (nspinsinsum * dspinper.y / n_sectors * overint_factors[dsectnum.y]) + dt = dt[:,np.newaxis] @ mynrgyra[np.newaxis] + + if type_ == "raw": + store_data( + tplotname, + data={"x": d.times, "y": d.y, "v": np.arange(16, dtype=np.float32)}, + attr_dict=get_data(tplotname, metadata=True) + ) + elif type_ == "cps": + cps = d.y / dt + tot_cps = np.nansum(cps, axis=1)[:,np.newaxis] @ mynrgyra[np.newaxis,:] + + # Deadtime correction + cps_deadtime_corrected = cps / (1.0 - tot_cps * deadtime_corr) + + # Only reason for negatives is deadtime correction + ineg = np.where(np.nansum(cps_deadtime_corrected, axis=1) < 0.0)[0] + if len(ineg) > 0: + cps_deadtime_corrected[ineg,:] = 0.0 + d3interpol = cps_deadtime_corrected.copy() + d3interpol[1:num_samples-1,:] = (cps_deadtime_corrected[0:num_samples-2,:] + + cps_deadtime_corrected[2:num_samples,:]) / 2.0 + cps_deadtime_corrected[ineg,:] = d3interpol[ineg,:] + + store_data( + tplotname, + data={"x": d.times, "y": cps_deadtime_corrected, "v": ebins_logmean}, + attr_dict=get_data(tplotname, metadata=True) + ) + + elif type_ == "nflux": + cps = d.y / dt + tot_cps = np.nansum(cps, axis=1)[:,np.newaxis] @ mynrgyra[np.newaxis,:] + + # Deadtime correction + cps_deadtime_corrected = cps / (1.0 - tot_cps * deadtime_corr) + + rel_energy_cal = cal_ch_factors / dE + nflux = cps_deadtime_corrected * (mytimesra[:,np.newaxis] @ rel_energy_cal[np.newaxis,:]) + + # Only reason for negatives is deadtime correction + ineg = np.where(np.nansum(nflux, axis=1) < 0.0)[0] + if len(ineg) > 0: + nflux[ineg,:] = 0.0 + d3interpol = nflux.copy() + d3interpol[1:num_samples-1,:] = (nflux[0:num_samples-2,:] + + nflux[2:num_samples,:]) / 2.0 + nflux[ineg,:] = d3interpol[ineg,:] + + store_data( + tplotname, + data={"x": d.times, "y": nflux, "v": ebins_logmean}, + attr_dict=get_data(tplotname, metadata=True) + ) + + elif type_ == "eflux": + cps = d.y / dt + tot_cps = np.nansum(cps, axis=1)[:,np.newaxis] @ mynrgyra[np.newaxis,:] + + # Deadtime correction + cps_deadtime_corrected = cps / (1.0 - tot_cps * deadtime_corr) + + eflux_cal = ebins_logmean * (cal_ch_factors / dE) + eflux = cps_deadtime_corrected * (mytimesra[:,np.newaxis] @ eflux_cal[np.newaxis,:]) + + # Only reason for negatives is deadtime correction + ineg = np.where(np.nansum(eflux, axis=1) < 0.0)[0] + if len(ineg) > 0: + eflux[ineg,:] = 0.0 + d3interpol = eflux.copy() + d3interpol[1:num_samples-1,:] = (eflux[0:num_samples-2,:] + + eflux[2:num_samples,:]) / 2.0 + eflux[ineg,:] = d3interpol[ineg,:] + + store_data( + tplotname, + data={"x": d.times, "y": eflux, "v": ebins_logmean}, + attr_dict=get_data(tplotname, metadata=True) + ) \ No newline at end of file diff --git a/pyspedas/elfin/epd/postprocessing.py b/pyspedas/elfin/epd/postprocessing.py index cfb63db5..a375a90d 100644 --- a/pyspedas/elfin/epd/postprocessing.py +++ b/pyspedas/elfin/epd/postprocessing.py @@ -2,6 +2,7 @@ from pytplot import get, store, del_data, tnames, tplot_rename, options +from .calibration import calibrate_epd def epd_l1_postprocessing( tplotnames, @@ -55,8 +56,11 @@ def epd_l1_postprocessing( if nspinsinsum is None: tn = tnames("*nspinsinsum*") - nspin = get(tn[0]) - nspinsinsum = nspin.y if nspin is not None else 1 + if tn: + nspin = get(tn[0]) + nspinsinsum = nspin.y if nspin is not None else 1 + else: + nspinsinsum = 1 new_tvars = [] for name in tplotnames: @@ -76,10 +80,8 @@ def epd_l1_postprocessing( tplot_rename(name, new_name) new_tvars.append(new_name) - # calibrate_epd(new_name, - # trange=trange, - # type_=type_, - # nspinsinsum=nspinsinsum) - logging.warning("EPD L1 calibration is a no-op currently") + calibrate_epd(new_name, trange=trange, type_=type_, nspinsinsum=nspinsinsum) + + # TODO: Set units and tplot options (obey no_spec) return new_tvars From cd9c686b5f258bf1cc58635ccad42442a71f942c Mon Sep 17 00:00:00 2001 From: jwu Date: Sun, 2 Jul 2023 12:34:39 -0700 Subject: [PATCH 14/29] set timeclip to be true; add units for spinper/sectnum/nspininsum/nsectors --- pyspedas/elfin/epd/epd.py | 2 +- pyspedas/elfin/epd/postprocessing.py | 9 +++++++++ 2 files changed, 10 insertions(+), 1 deletion(-) diff --git a/pyspedas/elfin/epd/epd.py b/pyspedas/elfin/epd/epd.py index 54eac7e4..696facc7 100644 --- a/pyspedas/elfin/epd/epd.py +++ b/pyspedas/elfin/epd/epd.py @@ -16,7 +16,7 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], downloadonly=False, notplot=False, no_update=False, - time_clip=False, + time_clip=True, nspinsinsum=None, no_spec=False, ): diff --git a/pyspedas/elfin/epd/postprocessing.py b/pyspedas/elfin/epd/postprocessing.py index a375a90d..98816c61 100644 --- a/pyspedas/elfin/epd/postprocessing.py +++ b/pyspedas/elfin/epd/postprocessing.py @@ -68,12 +68,21 @@ def epd_l1_postprocessing( del_data(name) continue if "sectnum" in name: + options(name, 'ytitle', 'sectnum') + new_tvars.append(name) continue if "spinper" in name: + options(name, 'ytitle', 'spinper') + options(name, 'ysubtitle','[sec]') + new_tvars.append(name) continue if "nspinsinsum" in name: + options(name, 'ytitle', 'nspinsinsum') + new_tvars.append(name) continue if "nsectors" in name: + options(name, 'ytitle', 'nsectors') + new_tvars.append(name) continue new_name = f"{name}_{type_}" From 87128dd7cb9ed4aeb940b92097c4403c73b48040 Mon Sep 17 00:00:00 2001 From: jwu Date: Mon, 3 Jul 2023 12:17:41 -0700 Subject: [PATCH 15/29] modify unit for elx_pef variables --- pyspedas/elfin/epd/epd.py | 4 ++-- pyspedas/elfin/epd/postprocessing.py | 13 ++++++++----- 2 files changed, 10 insertions(+), 7 deletions(-) diff --git a/pyspedas/elfin/epd/epd.py b/pyspedas/elfin/epd/epd.py index 696facc7..2ac067d9 100644 --- a/pyspedas/elfin/epd/epd.py +++ b/pyspedas/elfin/epd/epd.py @@ -95,8 +95,8 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], CALIBRATED_TYPE_UNITS = { "raw": "counts/sector", "cps": "counts/s", - "nflux": "#/(scm!U2!NstrMeV)", - "eflux": "keV/(scm!U2!NstrMeV)", + "nflux": "#/(s-cm$^2$-str-MeV)", + "eflux": "keV/(s-cm$^2$-str-MeV)", } if type_ in ("cal", "calibrated") or type_ not in CALIBRATED_TYPE_UNITS.keys(): diff --git a/pyspedas/elfin/epd/postprocessing.py b/pyspedas/elfin/epd/postprocessing.py index 98816c61..c1a85a79 100644 --- a/pyspedas/elfin/epd/postprocessing.py +++ b/pyspedas/elfin/epd/postprocessing.py @@ -63,30 +63,33 @@ def epd_l1_postprocessing( nspinsinsum = 1 new_tvars = [] + for name in tplotnames: if "energies" in name: del_data(name) continue if "sectnum" in name: - options(name, 'ytitle', 'sectnum') + options(name, 'ytitle', name) new_tvars.append(name) continue if "spinper" in name: - options(name, 'ytitle', 'spinper') + options(name, 'ytitle', name) options(name, 'ysubtitle','[sec]') new_tvars.append(name) continue if "nspinsinsum" in name: - options(name, 'ytitle', 'nspinsinsum') + options(name, 'ytitle', name) new_tvars.append(name) continue if "nsectors" in name: - options(name, 'ytitle', 'nsectors') + options(name, 'ytitle', name) new_tvars.append(name) continue - + new_name = f"{name}_{type_}" tplot_rename(name, new_name) + options(new_name, 'ytitle', new_name) # set units for elx_pef variable + options(new_name, 'ysubtitle', unit) new_tvars.append(new_name) calibrate_epd(new_name, trange=trange, type_=type_, nspinsinsum=nspinsinsum) From 1e605793dc5938ee15282ce245983d07f328f89a Mon Sep 17 00:00:00 2001 From: jwu Date: Tue, 25 Jul 2023 21:27:13 -0700 Subject: [PATCH 16/29] load epd l2 data and plot omni flux --- pyspedas/elfin/epd/calibration_l2.py | 54 ++++++++++++++++++++++++++++ pyspedas/elfin/epd/epd.py | 4 +-- pyspedas/elfin/epd/postprocessing.py | 50 +++++++++++++++++++++++++- pyspedas/elfin/tests/jwutests.py | 19 ++++++++++ 4 files changed, 124 insertions(+), 3 deletions(-) create mode 100644 pyspedas/elfin/epd/calibration_l2.py create mode 100644 pyspedas/elfin/tests/jwutests.py diff --git a/pyspedas/elfin/epd/calibration_l2.py b/pyspedas/elfin/epd/calibration_l2.py new file mode 100644 index 00000000..f501a4b2 --- /dev/null +++ b/pyspedas/elfin/epd/calibration_l2.py @@ -0,0 +1,54 @@ +import logging +from pytplot import get_data, store_data, options +import numpy as np + +def epd_l2_omniflux( + tvar, + ): + + """ + Produce OMNI flux spectra from ELF EPD L2 data + + Parameters + ---------- + tvar: str + Tplot variable name of a 3d energy time spectra + + Return + ---------- + omni_var: str + Tplot variable name of 2d omni spectra + """ + + # energy bin + energy = [63.245541, 97.979584, 138.56409, 183.30309, 238.11758, + 305.20490, 385.16229, 520.48047, 752.99396, 1081.6653, 1529.7061, + 2121.3203, 2893.9602, 3728.6064, 4906.1206, 6500.0000] # TODO: need to be removed and read from cdf + + # load L2 t-PA-E 3D flux + data = get_data(tvar) + nspinsavailable, nPAsChannel, nEngChannel= np.shape(data.y) + nspinsectors = (nPAsChannel - 2)*2 # TODO: check if this is true for full spin data + + # calculate domega in PA + pas2plot = data.v1 + spec2plot = data.y + pas2plot_domega = (2. * np.pi / nspinsectors) * np.sin(np.pi * pas2plot / 180.) + index1, index2 = np.where((pas2plot < 360. / nspinsectors / 2) | (pas2plot > 180. - 360. / nspinsectors / 2)) + pas2plot_domega[index1, index2] = (np.pi/nspinsectors)*np.sin(np.pi/nspinsectors) + pas2plot_repeat = np.repeat(pas2plot[:, :, np.newaxis], nEngChannel, axis=2) + + # calculate omni flux + omniflux = np.nansum(spec2plot * pas2plot_repeat, axis=1) / np.nansum(pas2plot_repeat, axis=1) + + # output omni tvar + omni_var = f"{tvar.replace('Epat_','')}_omni" + store_data(omni_var, data={'x': data.times, 'y': omniflux, 'v': energy}, attr_dict=get_data(tvar, metadata=True)) + options(omni_var, 'spec', True) + options(omni_var, 'yrange', [55., 6800]) + options(omni_var, 'zrange', [10, 2e7]) + options(omni_var, 'ylog', True) + options(omni_var, 'zlog', True) + options(omni_var, 'ytitle', omni_var) + breakpoint() + return omni_var \ No newline at end of file diff --git a/pyspedas/elfin/epd/epd.py b/pyspedas/elfin/epd/epd.py index 2ac067d9..d94a3b34 100644 --- a/pyspedas/elfin/epd/epd.py +++ b/pyspedas/elfin/epd/epd.py @@ -1,7 +1,7 @@ import logging from ..load import load -from .postprocessing import epd_l1_postprocessing +from .postprocessing import epd_l1_postprocessing, epd_l2_postprocessing def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], @@ -106,7 +106,7 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], return epd_l1_postprocessing(tvars, trange=trange, type_=type_, nspinsinsum=nspinsinsum, unit=CALIBRATED_TYPE_UNITS[type_], no_spec=no_spec) elif level == "l2": - logging.warning("ELFIN EPD L2 postprocessing not yet supported") + return epd_l2_postprocessing(tvars) else: raise ValueError(f"Unknown level: {level}") diff --git a/pyspedas/elfin/epd/postprocessing.py b/pyspedas/elfin/epd/postprocessing.py index c1a85a79..8bf9dee2 100644 --- a/pyspedas/elfin/epd/postprocessing.py +++ b/pyspedas/elfin/epd/postprocessing.py @@ -1,7 +1,9 @@ import logging -from pytplot import get, store, del_data, tnames, tplot_rename, options +from pytplot import get, store, del_data, tnames, tplot_rename, options, tplot +from pyspedas.analysis.time_clip import time_clip as tclip +from .calibration_l2 import epd_l2_omniflux from .calibration import calibrate_epd def epd_l1_postprocessing( @@ -97,3 +99,49 @@ def epd_l1_postprocessing( # TODO: Set units and tplot options (obey no_spec) return new_tvars + + +def epd_l2_postprocessing( + tplotnames, + fluxtype='nflux', + res='hs', + datatype='e', +): + """ + Process ELF EPD L2 data and generate omni, para, anti, perp flux spectra. + + Parameters + ---------- + tplotnames : list of str + The tplot names of EPD data to be postprocessed. + + fluxtype: str, optional + Type of flux spectra. + Options: 'nflux' for number flux, 'eflux' for energy flux. + Default is 'nflux'. + + res: str, optional + Resolution of spectra. + Options: 'hs' for half spin, 'fs' for full spin. + Default is 'hs'. + + datatype: str, optional + Type of data. + Options: 'e' for electron data, 'i' for ion data + Default is 'e'. + + Returns + ---------- + List of tplot variables created. + """ + + tplotnames = tplotnames.copy() + tvars=[] + for name in filter(lambda n: f"p{datatype}f_{res}_Epat_{fluxtype}" in n, tplotnames): + omni_var = epd_l2_omniflux(name) + tvars.append(omni_var) + + tplot(omni_var) + breakpoint() + + return tvars \ No newline at end of file diff --git a/pyspedas/elfin/tests/jwutests.py b/pyspedas/elfin/tests/jwutests.py new file mode 100644 index 00000000..63d4e687 --- /dev/null +++ b/pyspedas/elfin/tests/jwutests.py @@ -0,0 +1,19 @@ +import pyspedas +from pytplot import tplot_names +from pytplot import tplot, tplot_options, time_clip + +if __name__ == '__main__': + + # data = pyspedas.elfin.state(trange=['2022-01-14/06:28', '2022-01-14/06:35'], probe='a') + # tplot('ela_pos_gei') + # breakpoint() + + epd_var = pyspedas.elfin.epd(trange=['2022-01-14/06:28', '2022-01-14/06:29'], probe='a') + + epd_var = pyspedas.elfin.epd(trange=['2022-01-14/06:28', '2022-01-14/06:29'], probe='a', type_='eflux') + breakpoint() + time_clip( + ['ela_pef_nflux', 'ela_pef_sectnum','ela_pef_ns›pinsinsum','ela_pef_nsectors','ela_pef_spinper'], + '2022-01-14/06:28', '2022-01-14/06:29', overwrite=True) + tplot(['ela_pef_nflux', 'ela_pef_eflux', 'ela_pef_sectnum','ela_pef_spinper']) + \ No newline at end of file From 0f495d1202b21c5491f5dc4a1b21d211a4d46657 Mon Sep 17 00:00:00 2001 From: jwu Date: Mon, 31 Jul 2023 15:09:32 -0700 Subject: [PATCH 17/29] add parallel flux to epd l2 --- pyspedas/elfin/epd/calibration_l2.py | 78 +++++++++++++++++++++------- pyspedas/elfin/epd/postprocessing.py | 17 +++--- pyspedas/elfin/tests/jwutests.py | 19 ------- 3 files changed, 70 insertions(+), 44 deletions(-) delete mode 100644 pyspedas/elfin/tests/jwutests.py diff --git a/pyspedas/elfin/epd/calibration_l2.py b/pyspedas/elfin/epd/calibration_l2.py index f501a4b2..690cc271 100644 --- a/pyspedas/elfin/epd/calibration_l2.py +++ b/pyspedas/elfin/epd/calibration_l2.py @@ -2,53 +2,95 @@ from pytplot import get_data, store_data, options import numpy as np -def epd_l2_omniflux( - tvar, + +def epd_l2_flux4dir( + flux_tvar, + LC_tvar, ): """ - Produce OMNI flux spectra from ELF EPD L2 data + Produce omni/para/perp/anti flux spectra for ELF EPD L2 data Parameters ---------- - tvar: str + flux_tvar: str Tplot variable name of a 3d energy time spectra + LC_tvar: str + Tplot variable name of loss cone Return ---------- omni_var: str Tplot variable name of 2d omni spectra + para_var: str + Tplot variable name of 2d parallel spectra + perp_var: str + Tplot variable name of 2d perpendicualr spectra + anti_var: str + Tplot variable name of 2d antiparallel spectra """ - # energy bin - energy = [63.245541, 97.979584, 138.56409, 183.30309, 238.11758, - 305.20490, 385.16229, 520.48047, 752.99396, 1081.6653, 1529.7061, - 2121.3203, 2893.9602, 3728.6064, 4906.1206, 6500.0000] # TODO: need to be removed and read from cdf - # load L2 t-PA-E 3D flux - data = get_data(tvar) + data = get_data(flux_tvar) + + # parameters setup nspinsavailable, nPAsChannel, nEngChannel= np.shape(data.y) nspinsectors = (nPAsChannel - 2)*2 # TODO: check if this is true for full spin data - + FOVo2 = 11. # Field of View divided by 2 (deg) + dphsect = 360./nspinsectors + SectWidtho2 = dphsect/2. + LCfatol = FOVo2 + SectWidtho2 # tolerance of pitch angle in field aligned direction + LCfptol = -FOVo2 # tolerance of pitch angel in perpendicular direction + # calculate domega in PA pas2plot = data.v1 spec2plot = data.y + energy = data.v2 pas2plot_domega = (2. * np.pi / nspinsectors) * np.sin(np.pi * pas2plot / 180.) index1, index2 = np.where((pas2plot < 360. / nspinsectors / 2) | (pas2plot > 180. - 360. / nspinsectors / 2)) pas2plot_domega[index1, index2] = (np.pi/nspinsectors)*np.sin(np.pi/nspinsectors) - pas2plot_repeat = np.repeat(pas2plot[:, :, np.newaxis], nEngChannel, axis=2) - + #pas2plot_repeat = np.repeat(pas2plot[:, :, np.newaxis], nEngChannel, axis=2) + pas2plot_bcast = np.broadcast_to(pas2plot[:, :, np.newaxis], (nspinsavailable, nPAsChannel, nEngChannel)) + #=========================== + # OMNI FLUX + #=========================== # calculate omni flux - omniflux = np.nansum(spec2plot * pas2plot_repeat, axis=1) / np.nansum(pas2plot_repeat, axis=1) + omniflux = np.nansum(spec2plot * pas2plot_bcast, axis=1) / np.nansum(pas2plot_bcast, axis=1) # output omni tvar - omni_var = f"{tvar.replace('Epat_','')}_omni" - store_data(omni_var, data={'x': data.times, 'y': omniflux, 'v': energy}, attr_dict=get_data(tvar, metadata=True)) + omni_var = f"{flux_tvar.replace('Epat_','')}_omni" + store_data(omni_var, data={'x': data.times, 'y': omniflux, 'v': energy}, attr_dict=get_data(flux_tvar, metadata=True)) options(omni_var, 'spec', True) options(omni_var, 'yrange', [55., 6800]) options(omni_var, 'zrange', [10, 2e7]) options(omni_var, 'ylog', True) options(omni_var, 'zlog', True) options(omni_var, 'ytitle', omni_var) - breakpoint() - return omni_var \ No newline at end of file + + #=========================== + # PARA FLUX + #=========================== + # load loss cone data + data = get_data(LC_tvar) + + # southern hemisphere + paraedgedeg = np.array([lc if lc < 90 else 180-lc for lc in data.y]) + paraedgedeg_bcast = np.broadcast_to(paraedgedeg[:, np.newaxis, np.newaxis], (nspinsavailable, nPAsChannel, nEngChannel)) + + # select index + iparapas, jparapas, kparapas = np.where(pas2plot_bcast < -LCfatol+paraedgedeg_bcast) + spec2plot_allowable = np.zeros((nspinsavailable, nPAsChannel, nEngChannel)) + spec2plot_allowable[iparapas, jparapas, kparapas] = 1 + paraflux = np.nansum(spec2plot * pas2plot_bcast * spec2plot_allowable, axis=1) / np.nansum(pas2plot_bcast * spec2plot_allowable, axis=1) + + # output omni tvar + para_var = f"{flux_tvar.replace('Epat_','')}_para" + store_data(para_var, data={'x': data.times, 'y': paraflux, 'v': energy}, attr_dict=get_data(flux_tvar, metadata=True)) + options(para_var, 'spec', True) + options(para_var, 'yrange', [55., 6800]) + options(para_var, 'zrange', [10, 2e7]) + options(para_var, 'ylog', True) + options(para_var, 'zlog', True) + options(para_var, 'ytitle', para_var) + + return [omni_var, para_var] \ No newline at end of file diff --git a/pyspedas/elfin/epd/postprocessing.py b/pyspedas/elfin/epd/postprocessing.py index 8bf9dee2..bd2e6d79 100644 --- a/pyspedas/elfin/epd/postprocessing.py +++ b/pyspedas/elfin/epd/postprocessing.py @@ -3,7 +3,7 @@ from pytplot import get, store, del_data, tnames, tplot_rename, options, tplot from pyspedas.analysis.time_clip import time_clip as tclip -from .calibration_l2 import epd_l2_omniflux +from .calibration_l2 import epd_l2_flux4dir from .calibration import calibrate_epd def epd_l1_postprocessing( @@ -130,6 +130,8 @@ def epd_l2_postprocessing( Options: 'e' for electron data, 'i' for ion data Default is 'e'. + + Returns ---------- List of tplot variables created. @@ -137,11 +139,12 @@ def epd_l2_postprocessing( tplotnames = tplotnames.copy() tvars=[] - for name in filter(lambda n: f"p{datatype}f_{res}_Epat_{fluxtype}" in n, tplotnames): - omni_var = epd_l2_omniflux(name) - tvars.append(omni_var) - - tplot(omni_var) - breakpoint() + flux_tname = [name for name in tplotnames if f"p{datatype}f_{res}_Epat_{fluxtype}" in name] + LC_tname = [name for name in tplotnames if f"_LCdeg_{res}" in name] #TODO: change loss cone name later + if len(flux_tname) != 1 | len(LC_tname) != 1: + logging.error('two flux tplot variables are founded!') + return + + tvars = epd_l2_flux4dir(flux_tname[0], LC_tname[0]) return tvars \ No newline at end of file diff --git a/pyspedas/elfin/tests/jwutests.py b/pyspedas/elfin/tests/jwutests.py deleted file mode 100644 index 63d4e687..00000000 --- a/pyspedas/elfin/tests/jwutests.py +++ /dev/null @@ -1,19 +0,0 @@ -import pyspedas -from pytplot import tplot_names -from pytplot import tplot, tplot_options, time_clip - -if __name__ == '__main__': - - # data = pyspedas.elfin.state(trange=['2022-01-14/06:28', '2022-01-14/06:35'], probe='a') - # tplot('ela_pos_gei') - # breakpoint() - - epd_var = pyspedas.elfin.epd(trange=['2022-01-14/06:28', '2022-01-14/06:29'], probe='a') - - epd_var = pyspedas.elfin.epd(trange=['2022-01-14/06:28', '2022-01-14/06:29'], probe='a', type_='eflux') - breakpoint() - time_clip( - ['ela_pef_nflux', 'ela_pef_sectnum','ela_pef_ns›pinsinsum','ela_pef_nsectors','ela_pef_spinper'], - '2022-01-14/06:28', '2022-01-14/06:29', overwrite=True) - tplot(['ela_pef_nflux', 'ela_pef_eflux', 'ela_pef_sectnum','ela_pef_spinper']) - \ No newline at end of file From d968be32c3d071df1155fda2af20e5c25fe70335 Mon Sep 17 00:00:00 2001 From: jwu Date: Mon, 31 Jul 2023 18:21:17 -0700 Subject: [PATCH 18/29] add anti and perp fluxes --- pyspedas/elfin/epd/calibration_l2.py | 47 +++++++++++++++++++++++++--- 1 file changed, 43 insertions(+), 4 deletions(-) diff --git a/pyspedas/elfin/epd/calibration_l2.py b/pyspedas/elfin/epd/calibration_l2.py index 690cc271..b8bffba3 100644 --- a/pyspedas/elfin/epd/calibration_l2.py +++ b/pyspedas/elfin/epd/calibration_l2.py @@ -39,8 +39,8 @@ def epd_l2_flux4dir( FOVo2 = 11. # Field of View divided by 2 (deg) dphsect = 360./nspinsectors SectWidtho2 = dphsect/2. - LCfatol = FOVo2 + SectWidtho2 # tolerance of pitch angle in field aligned direction - LCfptol = -FOVo2 # tolerance of pitch angel in perpendicular direction + LCfatol = FOVo2 + SectWidtho2 # tolerance of pitch angle in field aligned direction, default 22.25 deg + LCfptol = -FOVo2 # tolerance of pitch angel in perpendicular direction, default -11. deg # calculate domega in PA pas2plot = data.v1 @@ -83,7 +83,7 @@ def epd_l2_flux4dir( spec2plot_allowable[iparapas, jparapas, kparapas] = 1 paraflux = np.nansum(spec2plot * pas2plot_bcast * spec2plot_allowable, axis=1) / np.nansum(pas2plot_bcast * spec2plot_allowable, axis=1) - # output omni tvar + # output para tvar para_var = f"{flux_tvar.replace('Epat_','')}_para" store_data(para_var, data={'x': data.times, 'y': paraflux, 'v': energy}, attr_dict=get_data(flux_tvar, metadata=True)) options(para_var, 'spec', True) @@ -93,4 +93,43 @@ def epd_l2_flux4dir( options(para_var, 'zlog', True) options(para_var, 'ytitle', para_var) - return [omni_var, para_var] \ No newline at end of file + #=========================== + # ANTI FLUX + #=========================== + # select index + iantipas, jantipas, kantipas = np.where(pas2plot_bcast > 180+LCfatol-paraedgedeg_bcast) + spec2plot_allowable = np.zeros((nspinsavailable, nPAsChannel, nEngChannel)) + spec2plot_allowable[iantipas, jantipas, kantipas] = 1 + antiflux = np.nansum(spec2plot * pas2plot_bcast * spec2plot_allowable, axis=1) / np.nansum(pas2plot_bcast * spec2plot_allowable, axis=1) + + # output anti tvar + anti_var = f"{flux_tvar.replace('Epat_','')}_anti" + store_data(anti_var, data={'x': data.times, 'y': antiflux, 'v': energy}, attr_dict=get_data(flux_tvar, metadata=True)) + options(anti_var, 'spec', True) + options(anti_var, 'yrange', [55., 6800]) + options(anti_var, 'zrange', [10, 2e7]) + options(anti_var, 'ylog', True) + options(anti_var, 'zlog', True) + options(anti_var, 'ytitle', anti_var) + + #=========================== + # PERP FLUX + #=========================== + # select index + iperppas, jperppas, kperppas = np.where( + (pas2plot_bcast < 180-LCfptol-paraedgedeg_bcast) & (pas2plot_bcast > LCfptol+paraedgedeg_bcast)) + spec2plot_allowable = np.zeros((nspinsavailable, nPAsChannel, nEngChannel)) + spec2plot_allowable[iperppas, jperppas, kperppas] = 1 + perpflux = np.nansum(spec2plot * pas2plot_bcast * spec2plot_allowable, axis=1) / np.nansum(pas2plot_bcast * spec2plot_allowable, axis=1) + + # output anti tvar + perp_var = f"{flux_tvar.replace('Epat_','')}_perp" + store_data(perp_var, data={'x': data.times, 'y': perpflux, 'v': energy}, attr_dict=get_data(flux_tvar, metadata=True)) + options(perp_var, 'spec', True) + options(perp_var, 'yrange', [55., 6800]) + options(perp_var, 'zrange', [10, 2e7]) + options(perp_var, 'ylog', True) + options(perp_var, 'zlog', True) + options(perp_var, 'ytitle', perp_var) + + return [omni_var, para_var, anti_var, perp_var] \ No newline at end of file From 0abfd85ba5bae3ed52dd70ffbb1cae6e1397f9b4 Mon Sep 17 00:00:00 2001 From: jwu Date: Tue, 1 Aug 2023 14:36:40 -0700 Subject: [PATCH 19/29] add options to omni/para/anti/perp flux. add ztitle and ytitle --- pyspedas/elfin/epd/calibration_l2.py | 56 +++++++++++++++------------- pyspedas/elfin/epd/epd.py | 7 +++- pyspedas/elfin/epd/postprocessing.py | 1 - 3 files changed, 37 insertions(+), 27 deletions(-) diff --git a/pyspedas/elfin/epd/calibration_l2.py b/pyspedas/elfin/epd/calibration_l2.py index b8bffba3..2c24d535 100644 --- a/pyspedas/elfin/epd/calibration_l2.py +++ b/pyspedas/elfin/epd/calibration_l2.py @@ -2,7 +2,32 @@ from pytplot import get_data, store_data, options import numpy as np +def epd_l2_flux4dir_option( + flux_var, +): + """ + Add options for omni/para/anti/perp flux spectra + + Parameters + ---------- + flux_var: str + Tplot variable name of 2d omni/para/anti/perp flux spectra + + """ + unit_ = '#/(s-cm$^2$-str-MeV)' if "nflux" in flux_var else 'keV/(s-cm$^2$-str-MeV)' + zrange = [10, 2e7] if "nflux" in flux_var else [1e4, 1e9] + options(flux_var, 'spec', True) + options(flux_var, 'yrange', [55., 6800]) # energy range + options(flux_var, 'zrange', zrange) + options(flux_var, 'ylog', True) + options(flux_var, 'zlog', True) + flux_var_ytitle = flux_var[0:10] + "\n" + flux_var[11:] + options(flux_var, 'ytitle', flux_var_ytitle) + options(flux_var, 'ysubtitle', 'Energy (keV)') + options(flux_var, 'ztitle', unit_) + + def epd_l2_flux4dir( flux_tvar, LC_tvar, @@ -29,7 +54,7 @@ def epd_l2_flux4dir( anti_var: str Tplot variable name of 2d antiparallel spectra """ - + # load L2 t-PA-E 3D flux data = get_data(flux_tvar) @@ -51,6 +76,7 @@ def epd_l2_flux4dir( pas2plot_domega[index1, index2] = (np.pi/nspinsectors)*np.sin(np.pi/nspinsectors) #pas2plot_repeat = np.repeat(pas2plot[:, :, np.newaxis], nEngChannel, axis=2) pas2plot_bcast = np.broadcast_to(pas2plot[:, :, np.newaxis], (nspinsavailable, nPAsChannel, nEngChannel)) + #=========================== # OMNI FLUX #=========================== @@ -60,12 +86,7 @@ def epd_l2_flux4dir( # output omni tvar omni_var = f"{flux_tvar.replace('Epat_','')}_omni" store_data(omni_var, data={'x': data.times, 'y': omniflux, 'v': energy}, attr_dict=get_data(flux_tvar, metadata=True)) - options(omni_var, 'spec', True) - options(omni_var, 'yrange', [55., 6800]) - options(omni_var, 'zrange', [10, 2e7]) - options(omni_var, 'ylog', True) - options(omni_var, 'zlog', True) - options(omni_var, 'ytitle', omni_var) + epd_l2_flux4dir_option(omni_var) #=========================== # PARA FLUX @@ -86,12 +107,7 @@ def epd_l2_flux4dir( # output para tvar para_var = f"{flux_tvar.replace('Epat_','')}_para" store_data(para_var, data={'x': data.times, 'y': paraflux, 'v': energy}, attr_dict=get_data(flux_tvar, metadata=True)) - options(para_var, 'spec', True) - options(para_var, 'yrange', [55., 6800]) - options(para_var, 'zrange', [10, 2e7]) - options(para_var, 'ylog', True) - options(para_var, 'zlog', True) - options(para_var, 'ytitle', para_var) + epd_l2_flux4dir_option(para_var) #=========================== # ANTI FLUX @@ -105,12 +121,7 @@ def epd_l2_flux4dir( # output anti tvar anti_var = f"{flux_tvar.replace('Epat_','')}_anti" store_data(anti_var, data={'x': data.times, 'y': antiflux, 'v': energy}, attr_dict=get_data(flux_tvar, metadata=True)) - options(anti_var, 'spec', True) - options(anti_var, 'yrange', [55., 6800]) - options(anti_var, 'zrange', [10, 2e7]) - options(anti_var, 'ylog', True) - options(anti_var, 'zlog', True) - options(anti_var, 'ytitle', anti_var) + epd_l2_flux4dir_option(anti_var) #=========================== # PERP FLUX @@ -125,11 +136,6 @@ def epd_l2_flux4dir( # output anti tvar perp_var = f"{flux_tvar.replace('Epat_','')}_perp" store_data(perp_var, data={'x': data.times, 'y': perpflux, 'v': energy}, attr_dict=get_data(flux_tvar, metadata=True)) - options(perp_var, 'spec', True) - options(perp_var, 'yrange', [55., 6800]) - options(perp_var, 'zrange', [10, 2e7]) - options(perp_var, 'ylog', True) - options(perp_var, 'zlog', True) - options(perp_var, 'ytitle', perp_var) + epd_l2_flux4dir_option(perp_var) return [omni_var, para_var, anti_var, perp_var] \ No newline at end of file diff --git a/pyspedas/elfin/epd/epd.py b/pyspedas/elfin/epd/epd.py index d94a3b34..90d619d4 100644 --- a/pyspedas/elfin/epd/epd.py +++ b/pyspedas/elfin/epd/epd.py @@ -106,7 +106,12 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], return epd_l1_postprocessing(tvars, trange=trange, type_=type_, nspinsinsum=nspinsinsum, unit=CALIBRATED_TYPE_UNITS[type_], no_spec=no_spec) elif level == "l2": - return epd_l2_postprocessing(tvars) + # check whether input type is allowed + if type_ not in ("nflux","eflux"): + logging.warning(f"fluxtype {type_} is not allowed in l2 data, change to nflux!") + type_ = "nflux" + + return epd_l2_postprocessing(tvars, fluxtype=type_) else: raise ValueError(f"Unknown level: {level}") diff --git a/pyspedas/elfin/epd/postprocessing.py b/pyspedas/elfin/epd/postprocessing.py index bd2e6d79..e5e5162f 100644 --- a/pyspedas/elfin/epd/postprocessing.py +++ b/pyspedas/elfin/epd/postprocessing.py @@ -129,7 +129,6 @@ def epd_l2_postprocessing( Type of data. Options: 'e' for electron data, 'i' for ion data Default is 'e'. - Returns From f4eb5189b89e3430bebccd97e92a59100ff1f742 Mon Sep 17 00:00:00 2001 From: jwu Date: Sun, 13 Aug 2023 20:46:34 -0700 Subject: [PATCH 20/29] add pitch angle spectrogram --- pyspedas/elfin/epd/calibration_l2.py | 225 ++++++++++++++++++++++++--- pyspedas/elfin/epd/epd.py | 10 +- pyspedas/elfin/epd/postprocessing.py | 22 ++- 3 files changed, 225 insertions(+), 32 deletions(-) diff --git a/pyspedas/elfin/epd/calibration_l2.py b/pyspedas/elfin/epd/calibration_l2.py index 2c24d535..a28f671c 100644 --- a/pyspedas/elfin/epd/calibration_l2.py +++ b/pyspedas/elfin/epd/calibration_l2.py @@ -1,8 +1,9 @@ import logging from pytplot import get_data, store_data, options import numpy as np +import bisect -def epd_l2_flux4dir_option( +def epd_l2_Espectra_option( flux_var, ): """ @@ -28,9 +29,11 @@ def epd_l2_flux4dir_option( options(flux_var, 'ztitle', unit_) -def epd_l2_flux4dir( +def epd_l2_Espectra( flux_tvar, LC_tvar, + LCfatol=None, + LCfptol=None, ): """ @@ -42,17 +45,22 @@ def epd_l2_flux4dir( Tplot variable name of a 3d energy time spectra LC_tvar: str Tplot variable name of loss cone + LCfatol: float, optional + Tolerance angle for para and anti flux. A positive value makes the loss + cone/antiloss cone smaller by this amount. + Default is 22.25 deg. + LCfptol: float, optional + Tolerance angle for perp flux. A negative value means a wider angle for + perp flux. + Default is -11 deg. Return ---------- - omni_var: str - Tplot variable name of 2d omni spectra - para_var: str - Tplot variable name of 2d parallel spectra - perp_var: str - Tplot variable name of 2d perpendicualr spectra - anti_var: str - Tplot variable name of 2d antiparallel spectra + List of four elements. + omni_var: str. Tplot variable name of 2d omni spectra + para_var: str. Tplot variable name of 2d parallel spectra + perp_var: str. Tplot variable name of 2d perpendicualr spectra + anti_var: str. Tplot variable name of 2d antiparallel spectra """ # load L2 t-PA-E 3D flux @@ -60,12 +68,13 @@ def epd_l2_flux4dir( # parameters setup nspinsavailable, nPAsChannel, nEngChannel= np.shape(data.y) - nspinsectors = (nPAsChannel - 2)*2 # TODO: check if this is true for full spin data + nspinsectors = (nPAsChannel - 2)*2 FOVo2 = 11. # Field of View divided by 2 (deg) dphsect = 360./nspinsectors SectWidtho2 = dphsect/2. LCfatol = FOVo2 + SectWidtho2 # tolerance of pitch angle in field aligned direction, default 22.25 deg LCfptol = -FOVo2 # tolerance of pitch angel in perpendicular direction, default -11. deg + # TODO: make sure these default values are correct # calculate domega in PA pas2plot = data.v1 @@ -81,12 +90,12 @@ def epd_l2_flux4dir( # OMNI FLUX #=========================== # calculate omni flux - omniflux = np.nansum(spec2plot * pas2plot_bcast, axis=1) / np.nansum(pas2plot_bcast, axis=1) + Espectra_omni = np.nansum(spec2plot * pas2plot_bcast, axis=1) / np.nansum(pas2plot_bcast, axis=1) # output omni tvar omni_var = f"{flux_tvar.replace('Epat_','')}_omni" - store_data(omni_var, data={'x': data.times, 'y': omniflux, 'v': energy}, attr_dict=get_data(flux_tvar, metadata=True)) - epd_l2_flux4dir_option(omni_var) + store_data(omni_var, data={'x': data.times, 'y': Espectra_omni, 'v': energy}, attr_dict=get_data(flux_tvar, metadata=True)) + epd_l2_Espectra_option(omni_var) #=========================== # PARA FLUX @@ -102,12 +111,12 @@ def epd_l2_flux4dir( iparapas, jparapas, kparapas = np.where(pas2plot_bcast < -LCfatol+paraedgedeg_bcast) spec2plot_allowable = np.zeros((nspinsavailable, nPAsChannel, nEngChannel)) spec2plot_allowable[iparapas, jparapas, kparapas] = 1 - paraflux = np.nansum(spec2plot * pas2plot_bcast * spec2plot_allowable, axis=1) / np.nansum(pas2plot_bcast * spec2plot_allowable, axis=1) + Espectra_para = np.nansum(spec2plot * pas2plot_bcast * spec2plot_allowable, axis=1) / np.nansum(pas2plot_bcast * spec2plot_allowable, axis=1) # output para tvar para_var = f"{flux_tvar.replace('Epat_','')}_para" - store_data(para_var, data={'x': data.times, 'y': paraflux, 'v': energy}, attr_dict=get_data(flux_tvar, metadata=True)) - epd_l2_flux4dir_option(para_var) + store_data(para_var, data={'x': data.times, 'y': Espectra_para, 'v': energy}, attr_dict=get_data(flux_tvar, metadata=True)) + epd_l2_Espectra_option(para_var) #=========================== # ANTI FLUX @@ -116,12 +125,12 @@ def epd_l2_flux4dir( iantipas, jantipas, kantipas = np.where(pas2plot_bcast > 180+LCfatol-paraedgedeg_bcast) spec2plot_allowable = np.zeros((nspinsavailable, nPAsChannel, nEngChannel)) spec2plot_allowable[iantipas, jantipas, kantipas] = 1 - antiflux = np.nansum(spec2plot * pas2plot_bcast * spec2plot_allowable, axis=1) / np.nansum(pas2plot_bcast * spec2plot_allowable, axis=1) + Espectra_anti = np.nansum(spec2plot * pas2plot_bcast * spec2plot_allowable, axis=1) / np.nansum(pas2plot_bcast * spec2plot_allowable, axis=1) # output anti tvar anti_var = f"{flux_tvar.replace('Epat_','')}_anti" - store_data(anti_var, data={'x': data.times, 'y': antiflux, 'v': energy}, attr_dict=get_data(flux_tvar, metadata=True)) - epd_l2_flux4dir_option(anti_var) + store_data(anti_var, data={'x': data.times, 'y': Espectra_anti, 'v': energy}, attr_dict=get_data(flux_tvar, metadata=True)) + epd_l2_Espectra_option(anti_var) #=========================== # PERP FLUX @@ -131,11 +140,179 @@ def epd_l2_flux4dir( (pas2plot_bcast < 180-LCfptol-paraedgedeg_bcast) & (pas2plot_bcast > LCfptol+paraedgedeg_bcast)) spec2plot_allowable = np.zeros((nspinsavailable, nPAsChannel, nEngChannel)) spec2plot_allowable[iperppas, jperppas, kperppas] = 1 - perpflux = np.nansum(spec2plot * pas2plot_bcast * spec2plot_allowable, axis=1) / np.nansum(pas2plot_bcast * spec2plot_allowable, axis=1) + Espectra_perp = np.nansum(spec2plot * pas2plot_bcast * spec2plot_allowable, axis=1) / np.nansum(pas2plot_bcast * spec2plot_allowable, axis=1) # output anti tvar perp_var = f"{flux_tvar.replace('Epat_','')}_perp" - store_data(perp_var, data={'x': data.times, 'y': perpflux, 'v': energy}, attr_dict=get_data(flux_tvar, metadata=True)) - epd_l2_flux4dir_option(perp_var) + store_data(perp_var, data={'x': data.times, 'y': Espectra_perp, 'v': energy}, attr_dict=get_data(flux_tvar, metadata=True)) + epd_l2_Espectra_option(perp_var) - return [omni_var, para_var, anti_var, perp_var] \ No newline at end of file + return [omni_var, para_var, anti_var, perp_var] + + +def epd_l2_PAspectra_option( + flux_var, + set_zrange = True, +): + """ + Add options for pitch angle spectra + + Parameters + ---------- + flux_var: str + Tplot variable name of 2d pitch angle spectra + + set_zrange: bool, optonal + Default is True. Only works for default four channels. + """ + + unit_ = '#/(s-\ncm$^2$-str-MeV)' if "nflux" in flux_var else 'keV/(s-\ncm$^2$-str-MeV)' + if set_zrange is True: + if "nflux" in flux_var: + zrange_list = { + 0: [2.e3, 5.e6], + 1: [1.e3, 3.e6], + 2: [1.e2, 1.e6], + 3: [1.e1, 5.e3], + } + else: + zrange_list = { + 0: [5.e5, 1.e10], + 1: [5.e5, 5.e9], + 2: [5.e5, 2.5e9], + 3: [1.e5, 1.e8], + } + ch_num = int(flux_var.split("ch")[-1]) + zrange = zrange_list.get(ch_num, [1e1, 1e2]) if "nflux" in flux_var else zrange_list.get(ch_num, [1.e4, 1.e7]) + options(flux_var, 'zrange', zrange) + + options(flux_var, 'spec', True) + #options(flux_var, 'yrange', [-180, 180]) # energy range + options(flux_var, 'ylog', False) + options(flux_var, 'zlog', True) + flux_var_ytitle = flux_var[0:10] + "\n" + flux_var[11:] + options(flux_var, 'ytitle', flux_var_ytitle) + options(flux_var, 'ysubtitle', 'PA (deg)') + options(flux_var, 'ztitle', unit_) + + +def epd_l2_PAspectra( + flux_tvar, + energybins = None, + energies = None, + ): + """ + This function processes a 3D energy-time spectra from ELF EPD L2 data + to produce pitch angle spectra, applying either specified energy bins + or a defined energy range. + + Parameters + ---------- + flux_tvar: str + Tplot variable name of a 3d energy time spectra + + energybins: list of int, optional + Specified the energy bins used for generating pitch angle spectra. + Default is [0, 3, 6, 9], which bins energy as follows: + ch0: Energy channels 0-2, + ch1: Energy channels 3-5, + ch2: Energy channels 6-8, + ch3: Energy channels 9-15 + If both 'energybins' and 'energies' are set, 'energybins' takes precedence + energy + + energies: list of tuple of float, optional + Specifies the energy range for each bin in the pitch angle spectra. + Example: energies=[(50.,160.),(160.,345.),(345.,900.),(900.,7000.)] + If both 'energybins' and 'energies' are set, 'energybins' takes precedence. + Energy and energybin table: + channel energy_range energy_midbin + 0 50-80 63.2 + 1 80-120 97.9 + 2 120-160 138.5 + 3 160-210 183.3 + 4 210-270 238.1 + 5 270-345 305.2 + 6 345-430 385.1 + 7 430-630 520.4 + 8 630-900 752.9 + 9 900-1300 1081.6 + 10 1300-1800 1529.7 + 11 1800-2500 2121.3 + 12 2500-3350 2893.9 + 13 3350-4150 3728.6 + 14 4150-5800 4906.1 + 15 5800+ 6500.0 + + + Return + ---------- + List of tplot variable names for pitch angle spectra + """ + # constant energy range + EMINS = np.array([ + 50.000008, 79.999962, 120.00005, 159.99998, 210.00015, 269.99973, + 345.00043, 429.99945, 630.00061, 899.99890, 1300.0013, 1799.9985, + 2500.0022, 3349.9990, 4150.0034, 5800.0000]) # TODO: make sure it's safe to hardcode here + EMAXS = np.array([ + 79.999962, 120.00005, 159.99998, 210.00015, 269.99973, 345.00043, + 429.99945, 630.00061, 899.99890, 1300.0013, 1799.9985, 2500.0022, + 3349.9990, 4150.0034, 5800.0000, 7200.0000]) + + # load L2 t-PA-E 3D flux + data = get_data(flux_tvar) + energy_midbin = data.v2 + pas2plot = data.v1 + spec2plot = data.y + nspinsavailable, nPAsChannel, nEngChannel= np.shape(data.y) + nspinsectors = (nPAsChannel - 2)*2 + + # sort all spins in ascending order of, otherwise can't plot with tplot + for i in range(pas2plot.shape[0]): + line = pas2plot[i, :] + # If the line is in descending order + if np.array_equal(line, np.sort(line)[::-1]): + # Flip the line + pas2plot[i, :] = line[::-1] + for j in range(nEngChannel): + spec2plot[i, :, j] = spec2plot[i, :, j][::-1] + + # get energy bin for pitch angle spectra + if energybins is not None: + MinE_channels = energybins + MaxE_channels = [e-1 for e in MinE_channels[1:]] + [15] + if energies is not None: + logging.warning("both energis and energybins are set, 'energybins' takes precedence!") + elif energies is not None: + MinE_channels = [bisect.bisect_left(energy_midbin, min_energy) for min_energy, max_energy in energies] + MaxE_channels = [bisect.bisect_right(energy_midbin, max_energy) - 1 for min_energy, max_energy in energies] + else: + MinE_channels = [0, 3, 6, 9] + MaxE_channels = [2, 5, 8, 15] + logging.info(f"Energy channel {list(zip(MinE_channels, MaxE_channels))} are used for epd l2 pitch angle spectra.") + + # broadcast Emax and Emin so that they have the same size of spec2plot + Emaxs_bcast = np.broadcast_to(EMAXS[np.newaxis, np.newaxis, :], (nspinsavailable, nPAsChannel, nEngChannel)) + Emins_bcast = np.broadcast_to(EMINS[np.newaxis, np.newaxis, :], (nspinsavailable, nPAsChannel, nEngChannel)) + + # define PAspectra, size is time * pa * energy channel + numchannels = len(MinE_channels) + PAspectra = np.full((nspinsavailable, nPAsChannel, numchannels), np.nan) + PA_tvars = [] + + # loop over specified energy channels + for ichannel in range(numchannels): + min_channel = MinE_channels[ichannel] + max_channel = MaxE_channels[ichannel] + PAspectra_single = np.nansum(spec2plot[:,:,min_channel:max_channel+1] * \ + (Emaxs_bcast[:,:,min_channel:max_channel+1] - Emins_bcast[:,:,min_channel:max_channel+1]), axis=2) \ + / np.nansum(Emaxs_bcast[:,:,min_channel:max_channel+1] - Emins_bcast[:,:,min_channel:max_channel+1], axis=2) + + # output tvariable + PA_var = f"{flux_tvar.replace('Epat_','')}_ch{ichannel}" + + store_data(PA_var, data={'x': data.times, 'y': PAspectra_single, 'v': pas2plot}) + epd_l2_PAspectra_option(PA_var) + PA_tvars.append(PA_var) + + return PA_tvars \ No newline at end of file diff --git a/pyspedas/elfin/epd/epd.py b/pyspedas/elfin/epd/epd.py index 90d619d4..d2a9f2e1 100644 --- a/pyspedas/elfin/epd/epd.py +++ b/pyspedas/elfin/epd/epd.py @@ -19,6 +19,7 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], time_clip=True, nspinsinsum=None, no_spec=False, + fullspin=False, ): """ This function loads data from the Energetic Particle Detector (EPD) @@ -78,7 +79,11 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], Time clip the variables to exactly the range specified in the trange keyword nspinsinsum : int, optional - Number of spins in sum which is needed by the calibration function. + Number of spins in sum which is needed by the calibration function. + + fullspin: bool + If true, generate full spin with l2 epd instead of half spin + Default is False Returns ---------- @@ -111,7 +116,8 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], logging.warning(f"fluxtype {type_} is not allowed in l2 data, change to nflux!") type_ = "nflux" - return epd_l2_postprocessing(tvars, fluxtype=type_) + res = 'hs' if fullspin is False else 'fs' + return epd_l2_postprocessing(tvars, fluxtype=type_, res=res) else: raise ValueError(f"Unknown level: {level}") diff --git a/pyspedas/elfin/epd/postprocessing.py b/pyspedas/elfin/epd/postprocessing.py index e5e5162f..d5d67202 100644 --- a/pyspedas/elfin/epd/postprocessing.py +++ b/pyspedas/elfin/epd/postprocessing.py @@ -3,7 +3,7 @@ from pytplot import get, store, del_data, tnames, tplot_rename, options, tplot from pyspedas.analysis.time_clip import time_clip as tclip -from .calibration_l2 import epd_l2_flux4dir +from .calibration_l2 import epd_l2_Espectra, epd_l2_PAspectra from .calibration import calibrate_epd def epd_l1_postprocessing( @@ -138,12 +138,22 @@ def epd_l2_postprocessing( tplotnames = tplotnames.copy() tvars=[] + flux_tname = [name for name in tplotnames if f"p{datatype}f_{res}_Epat_{fluxtype}" in name] - LC_tname = [name for name in tplotnames if f"_LCdeg_{res}" in name] #TODO: change loss cone name later - if len(flux_tname) != 1 | len(LC_tname) != 1: - logging.error('two flux tplot variables are founded!') + LC_tname = [name for name in tplotnames if f"_{res}_LCdeg" in name] #TODO: change loss cone name later + if len(flux_tname) != 1: + logging.error(f'{len(flux_tname)} flux tplot variables is found!') + return + + if len(LC_tname) != 1: + logging.error(f'{len(LC_tname)} LC tplot variables is found!') return - - tvars = epd_l2_flux4dir(flux_tname[0], LC_tname[0]) + + # get energy spectra in four directions + tvars = epd_l2_Espectra(flux_tname[0], LC_tname[0]) + + # get pitch angle spectra + #tvars = epd_l2_PAspectra(flux_tname[0], energies=[(60, 200),(300, 1000)]) + tvars = epd_l2_PAspectra(flux_tname[0]) return tvars \ No newline at end of file From 2050605cfeaea5fdb849566ece0a5636cf55a073 Mon Sep 17 00:00:00 2001 From: jwu Date: Sun, 13 Aug 2023 20:47:40 -0700 Subject: [PATCH 21/29] skeleton of unittest --- pyspedas/elfin/tests/test_state.py | 68 ++++++++++++++++++++++++++++++ 1 file changed, 68 insertions(+) create mode 100644 pyspedas/elfin/tests/test_state.py diff --git a/pyspedas/elfin/tests/test_state.py b/pyspedas/elfin/tests/test_state.py new file mode 100644 index 00000000..a00229bb --- /dev/null +++ b/pyspedas/elfin/tests/test_state.py @@ -0,0 +1,68 @@ +"""Tests of cal_fit function.""" +import pyspedas.elfin +import pytplot.get_data +from pytplot.importers.tplot_restore import tplot_restore +import unittest +import numpy as np +from numpy.testing import assert_allclose, assert_array_almost_equal, assert_array_equal + + +class TestELFStateValidation(unittest.TestCase): + """Tests of the data been identical to SPEDAS (IDL).""" + + @classmethod + def setUpClass(cls): + """ + IDL Data has to be downloaded to perform these tests + The IDL script that creates data file: + https://github.com/spedas/pyspedas-validation/blob/cal_fit/src/themis/validation_files/thm_load_fit_validation_files.pro + """ + + # Testing time range + cls.t = ['2022-01-14/06:28', '2022-01-14/06:35'] + + # Testing tollerange + cls.tol = 1e-3 + + + # Load validation variables from the test file + filename = 'elfin_data/elf_state_validation.tplot' + tplot_restore(filename) + cls.elf_pos_gei = pytplot.get_data('ela_pos_gei') + cls.elf_vel_gei = pytplot.get_data('ela_vel_gei') + cls.elf_att_gei = pytplot.get_data('ela_att_gei') + cls.elf_att_solution = pytplot.get_data('ela_att_solution_date') + cls.elf_att_flag = pytplot.get_data('ela_att_flag') + cls.elf_att_spinper = pytplot.get_data('ela_att_spinper') + cls.elf_spin_orbnorm = pytplot.get_data('ela_spin_orbnorm_angle') + cls.elf_spin_sun = pytplot.get_data('ela_spin_sun_angle') + + + def setUp(self): + """ We need to clean tplot variables before each run""" + pytplot.del_data('*') + + def test_state_pos(self): + """Validate load data.""" + pyspedas.elfin.state(trange=['2022-01-14/06:28', '2022-01-14/06:35'], probe='a') + elf_pos_gei = pytplot.get_data('ela_pos_gei') + elf_vel_gei = pytplot.get_data('ela_vel_gei') + elf_att_gei = pytplot.get_data('ela_att_gei') + elf_att_solution = pytplot.get_data('ela_att_solution_date') + elf_att_flag = pytplot.get_data('ela_att_flag') + elf_att_spinper = pytplot.get_data('ela_att_spinper') + elf_spin_orbnorm = pytplot.get_data('ela_spin_orbnorm_angle') + elf_spin_sun = pytplot.get_data('ela_spin_sun_angle') + + assert_array_almost_equal(elf_pos_gei.y, self.elf_pos_gei.y, decimal=4) + assert_array_almost_equal(elf_vel_gei.y, self.elf_vel_gei.y, decimal=4) + assert_array_almost_equal(elf_att_gei.y, self.elf_att_gei.y, decimal=2) + assert_allclose(elf_att_solution.times, self.elf_att_solution.y, rtol=1e-3) + assert_array_equal(elf_att_flag.y, self.elf_att_flag.y) + assert_allclose(elf_att_spinper.y, self.elf_att_spinper.y, rtol=1e-2) + assert_allclose(elf_spin_orbnorm.y, self.elf_spin_orbnorm.y, rtol=1e-2) + assert_allclose(elf_spin_sun.y, self.elf_spin_sun.y, rtol=1e-2) + + +if __name__ == '__main__': + unittest.main() From 0c41994e29aed76ca87a3f9cc17ee7ada1313f81 Mon Sep 17 00:00:00 2001 From: jwu Date: Tue, 5 Sep 2023 15:22:34 -0700 Subject: [PATCH 22/29] add unittest with fs/hs nflux eflux, and user specify energy channel --- pyspedas/elfin/epd/calibration_l2.py | 154 ++++++--- pyspedas/elfin/epd/epd.py | 15 +- pyspedas/elfin/epd/postprocessing.py | 10 +- pyspedas/elfin/state/state.py | 2 +- .../elfin/tests/test_epd_l2_spectrogram.py | 296 ++++++++++++++++++ pyspedas/elfin/tests/test_state.py | 46 +-- 6 files changed, 449 insertions(+), 74 deletions(-) create mode 100644 pyspedas/elfin/tests/test_epd_l2_spectrogram.py diff --git a/pyspedas/elfin/epd/calibration_l2.py b/pyspedas/elfin/epd/calibration_l2.py index a28f671c..48b1667f 100644 --- a/pyspedas/elfin/epd/calibration_l2.py +++ b/pyspedas/elfin/epd/calibration_l2.py @@ -3,6 +3,67 @@ import numpy as np import bisect +def spec_pa_sort( + spec2plot, + pas2plot, +): + """ + Sort pitch angle in ascending order. + If pitch angle are not monotonic, can't plot it with tplot. + + Parameters + ---------- + spec2plot: ndarray + spectogram variable, can be 2d or 3d array. + pas2plot: ndarray + pitch angle variable, should be the same size as spec_var, or the size of a slice of spec_var + + Return + --------- + spec2plot: in sorted order + pas2plot: in sorted order + """ + if len(spec2plot.shape) == 2: + spec_sectNum, spec_paNum = spec2plot.shape + nEngChannel = 1 + + elif len(spec2plot.shape) == 3: + spec_sectNum, spec_paNum, nEngChannel = spec2plot.shape + else: + logging.error("ELF EPD L2 PA SPECTOGRAM: spec2plot is not 2d or 3d!") + return + + if len(pas2plot.shape) == 2: + pa_sectNum, pa_paNum = pas2plot.shape + else: + logging.error("ELF EPD L2 PA SPECTOGRAM: pas2plot is not 2d!") + return + + if (pa_sectNum != spec_sectNum) or (pa_paNum != spec_paNum): + logging.error("ELF EPD L2 PA SPECTOGRAM: pas2plot and spec2plot not same size!") + return + + if len(spec2plot.shape) == 3: + for i in range(spec_sectNum): + line = pas2plot[i, :] + # If the line is in descending order + if np.array_equal(line, np.sort(line)[::-1]): + # Flip the line + pas2plot[i, :] = line[::-1] + for j in range(nEngChannel): + spec2plot[i, :, j] = spec2plot[i, :, j][::-1] + elif len(spec2plot.shape) == 2: + for i in range(spec_sectNum): + line = pas2plot[i, :] + # If the line is in descending order + if np.array_equal(line, np.sort(line)[::-1]): + # Flip the line + pas2plot[i, :] = line[::-1] + spec2plot[i, :] = spec2plot[i, :][::-1] + + return spec2plot, pas2plot + + def epd_l2_Espectra_option( flux_var, ): @@ -68,30 +129,41 @@ def epd_l2_Espectra( # parameters setup nspinsavailable, nPAsChannel, nEngChannel= np.shape(data.y) - nspinsectors = (nPAsChannel - 2)*2 + if 'hs' in flux_tvar: + nspinsectors = (nPAsChannel - 2)*2 + elif 'fs' in flux_tvar: + nspinsectors = (nPAsChannel - 2) + else: + logging.error("ELF EPD L2 ENERGY SPECTROGRAM: invalid input tplot variable!") + FOVo2 = 11. # Field of View divided by 2 (deg) dphsect = 360./nspinsectors SectWidtho2 = dphsect/2. LCfatol = FOVo2 + SectWidtho2 # tolerance of pitch angle in field aligned direction, default 22.25 deg LCfptol = -FOVo2 # tolerance of pitch angel in perpendicular direction, default -11. deg # TODO: make sure these default values are correct - + # calculate domega in PA - pas2plot = data.v1 - spec2plot = data.y - energy = data.v2 + pas2plot = np.copy(data.v1) + spec2plot = np.copy(data.y) + energy = np.copy(data.v2) pas2plot_domega = (2. * np.pi / nspinsectors) * np.sin(np.pi * pas2plot / 180.) index1, index2 = np.where((pas2plot < 360. / nspinsectors / 2) | (pas2plot > 180. - 360. / nspinsectors / 2)) pas2plot_domega[index1, index2] = (np.pi/nspinsectors)*np.sin(np.pi/nspinsectors) + + # # pas2plot_bcast need to have the same nan as spec2plot. + # if not, np.nansum(pas2plot_bcast, axis=1) will be wrong + pas2plot_domega[:, 0] = np.nan + pas2plot_domega[:, -1] = np.nan #pas2plot_repeat = np.repeat(pas2plot[:, :, np.newaxis], nEngChannel, axis=2) - pas2plot_bcast = np.broadcast_to(pas2plot[:, :, np.newaxis], (nspinsavailable, nPAsChannel, nEngChannel)) + pas2plot_domega_bcast = np.broadcast_to(pas2plot_domega[:, :, np.newaxis], (nspinsavailable, nPAsChannel, nEngChannel)) #=========================== # OMNI FLUX #=========================== # calculate omni flux - Espectra_omni = np.nansum(spec2plot * pas2plot_bcast, axis=1) / np.nansum(pas2plot_bcast, axis=1) - + Espectra_omni = np.nansum(spec2plot * pas2plot_domega_bcast, axis=1) / np.nansum(pas2plot_domega_bcast, axis=1) + # output omni tvar omni_var = f"{flux_tvar.replace('Epat_','')}_omni" store_data(omni_var, data={'x': data.times, 'y': Espectra_omni, 'v': energy}, attr_dict=get_data(flux_tvar, metadata=True)) @@ -102,17 +174,17 @@ def epd_l2_Espectra( #=========================== # load loss cone data data = get_data(LC_tvar) - + # southern hemisphere paraedgedeg = np.array([lc if lc < 90 else 180-lc for lc in data.y]) - paraedgedeg_bcast = np.broadcast_to(paraedgedeg[:, np.newaxis, np.newaxis], (nspinsavailable, nPAsChannel, nEngChannel)) - + paraedgedeg_bcast = np.broadcast_to(paraedgedeg[:, np.newaxis], (nspinsavailable, nPAsChannel)) + # select index - iparapas, jparapas, kparapas = np.where(pas2plot_bcast < -LCfatol+paraedgedeg_bcast) + iparapas, jparapas = np.where(pas2plot< -LCfatol+paraedgedeg_bcast) spec2plot_allowable = np.zeros((nspinsavailable, nPAsChannel, nEngChannel)) - spec2plot_allowable[iparapas, jparapas, kparapas] = 1 - Espectra_para = np.nansum(spec2plot * pas2plot_bcast * spec2plot_allowable, axis=1) / np.nansum(pas2plot_bcast * spec2plot_allowable, axis=1) - + spec2plot_allowable[iparapas, jparapas, :] = 1 + Espectra_para = np.nansum(spec2plot * pas2plot_domega_bcast * spec2plot_allowable, axis=1) / np.nansum(pas2plot_domega_bcast * spec2plot_allowable, axis=1) + # output para tvar para_var = f"{flux_tvar.replace('Epat_','')}_para" store_data(para_var, data={'x': data.times, 'y': Espectra_para, 'v': energy}, attr_dict=get_data(flux_tvar, metadata=True)) @@ -122,10 +194,10 @@ def epd_l2_Espectra( # ANTI FLUX #=========================== # select index - iantipas, jantipas, kantipas = np.where(pas2plot_bcast > 180+LCfatol-paraedgedeg_bcast) + iantipas, jantipas = np.where(pas2plot > 180+LCfatol-paraedgedeg_bcast) spec2plot_allowable = np.zeros((nspinsavailable, nPAsChannel, nEngChannel)) - spec2plot_allowable[iantipas, jantipas, kantipas] = 1 - Espectra_anti = np.nansum(spec2plot * pas2plot_bcast * spec2plot_allowable, axis=1) / np.nansum(pas2plot_bcast * spec2plot_allowable, axis=1) + spec2plot_allowable[iantipas, jantipas, :] = 1 + Espectra_anti = np.nansum(spec2plot * pas2plot_domega_bcast * spec2plot_allowable, axis=1) / np.nansum(pas2plot_domega_bcast * spec2plot_allowable, axis=1) # output anti tvar anti_var = f"{flux_tvar.replace('Epat_','')}_anti" @@ -136,11 +208,11 @@ def epd_l2_Espectra( # PERP FLUX #=========================== # select index - iperppas, jperppas, kperppas = np.where( - (pas2plot_bcast < 180-LCfptol-paraedgedeg_bcast) & (pas2plot_bcast > LCfptol+paraedgedeg_bcast)) + iperppas, jperppas = np.where( + (pas2plot < 180-LCfptol-paraedgedeg_bcast) & (pas2plot > LCfptol+paraedgedeg_bcast)) spec2plot_allowable = np.zeros((nspinsavailable, nPAsChannel, nEngChannel)) - spec2plot_allowable[iperppas, jperppas, kperppas] = 1 - Espectra_perp = np.nansum(spec2plot * pas2plot_bcast * spec2plot_allowable, axis=1) / np.nansum(pas2plot_bcast * spec2plot_allowable, axis=1) + spec2plot_allowable[iperppas, jperppas, :] = 1 + Espectra_perp = np.nansum(spec2plot * pas2plot_domega_bcast * spec2plot_allowable, axis=1) / np.nansum(pas2plot_domega_bcast * spec2plot_allowable, axis=1) # output anti tvar perp_var = f"{flux_tvar.replace('Epat_','')}_perp" @@ -213,7 +285,7 @@ def epd_l2_PAspectra( energybins: list of int, optional Specified the energy bins used for generating pitch angle spectra. - Default is [0, 3, 6, 9], which bins energy as follows: + Default is [(0,2),(3,5), (6,8), (9,15)], which bins energy as follows: ch0: Energy channels 0-2, ch1: Energy channels 3-5, ch2: Energy channels 6-8, @@ -258,29 +330,22 @@ def epd_l2_PAspectra( 79.999962, 120.00005, 159.99998, 210.00015, 269.99973, 345.00043, 429.99945, 630.00061, 899.99890, 1300.0013, 1799.9985, 2500.0022, 3349.9990, 4150.0034, 5800.0000, 7200.0000]) - + # load L2 t-PA-E 3D flux data = get_data(flux_tvar) - energy_midbin = data.v2 - pas2plot = data.v1 - spec2plot = data.y + energy_midbin = np.copy(data.v2) + pas2plot = np.copy(data.v1) + spec2plot = np.copy(data.y) nspinsavailable, nPAsChannel, nEngChannel= np.shape(data.y) - nspinsectors = (nPAsChannel - 2)*2 - - # sort all spins in ascending order of, otherwise can't plot with tplot - for i in range(pas2plot.shape[0]): - line = pas2plot[i, :] - # If the line is in descending order - if np.array_equal(line, np.sort(line)[::-1]): - # Flip the line - pas2plot[i, :] = line[::-1] - for j in range(nEngChannel): - spec2plot[i, :, j] = spec2plot[i, :, j][::-1] + #nspinsectors = (nPAsChannel - 2)*2 + spec2plot, pas2plot = spec_pa_sort(spec2plot, pas2plot) + # get energy bin for pitch angle spectra if energybins is not None: - MinE_channels = energybins - MaxE_channels = [e-1 for e in MinE_channels[1:]] + [15] + MinE_channels, MaxE_channels = zip(*energybins) + MinE_channels = list(MinE_channels) + MaxE_channels = list(MaxE_channels) if energies is not None: logging.warning("both energis and energybins are set, 'energybins' takes precedence!") elif energies is not None: @@ -299,20 +364,25 @@ def epd_l2_PAspectra( numchannels = len(MinE_channels) PAspectra = np.full((nspinsavailable, nPAsChannel, numchannels), np.nan) PA_tvars = [] - + # loop over specified energy channels for ichannel in range(numchannels): min_channel = MinE_channels[ichannel] max_channel = MaxE_channels[ichannel] + PAspectra_single = np.nansum(spec2plot[:,:,min_channel:max_channel+1] * \ (Emaxs_bcast[:,:,min_channel:max_channel+1] - Emins_bcast[:,:,min_channel:max_channel+1]), axis=2) \ / np.nansum(Emaxs_bcast[:,:,min_channel:max_channel+1] - Emins_bcast[:,:,min_channel:max_channel+1], axis=2) + # make the first and last pa nan, for the comparison with idl + PAspectra_single[:, 0] = np.nan + PAspectra_single[:, -1] = np.nan + # output tvariable PA_var = f"{flux_tvar.replace('Epat_','')}_ch{ichannel}" store_data(PA_var, data={'x': data.times, 'y': PAspectra_single, 'v': pas2plot}) epd_l2_PAspectra_option(PA_var) PA_tvars.append(PA_var) - + return PA_tvars \ No newline at end of file diff --git a/pyspedas/elfin/epd/epd.py b/pyspedas/elfin/epd/epd.py index d2a9f2e1..26c0af33 100644 --- a/pyspedas/elfin/epd/epd.py +++ b/pyspedas/elfin/epd/epd.py @@ -1,7 +1,7 @@ import logging -from ..load import load -from .postprocessing import epd_l1_postprocessing, epd_l2_postprocessing +from pyspedas.elfin.load import load +from pyspedas.elfin.epd.postprocessing import epd_l1_postprocessing, epd_l2_postprocessing def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], @@ -20,6 +20,9 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], nspinsinsum=None, no_spec=False, fullspin=False, + PAspec_energies=None, + PAspec_energybins=None, + ): """ This function loads data from the Energetic Particle Detector (EPD) @@ -90,10 +93,11 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], List of tplot variables created. """ + logging.info("ELFIN EPD: START LOADING.") tvars = load(instrument='epd', probe=probe, trange=trange, level=level, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, time_clip=time_clip, no_update=no_update) - + logging.info("ELFIN EPD: LOADING END.") if tvars is None or notplot or downloadonly: return tvars @@ -101,7 +105,7 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], "raw": "counts/sector", "cps": "counts/s", "nflux": "#/(s-cm$^2$-str-MeV)", - "eflux": "keV/(s-cm$^2$-str-MeV)", + "eflux": "keV/(s-cm$^2$-str-MeV)0", } if type_ in ("cal", "calibrated") or type_ not in CALIBRATED_TYPE_UNITS.keys(): @@ -111,13 +115,14 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], return epd_l1_postprocessing(tvars, trange=trange, type_=type_, nspinsinsum=nspinsinsum, unit=CALIBRATED_TYPE_UNITS[type_], no_spec=no_spec) elif level == "l2": + logging.info("ELFIN EPD L2: START PROCESSING.") # check whether input type is allowed if type_ not in ("nflux","eflux"): logging.warning(f"fluxtype {type_} is not allowed in l2 data, change to nflux!") type_ = "nflux" res = 'hs' if fullspin is False else 'fs' - return epd_l2_postprocessing(tvars, fluxtype=type_, res=res) + return epd_l2_postprocessing(tvars, fluxtype=type_, res=res, PAspec_energies=PAspec_energies, PAspec_energybins=PAspec_energybins) else: raise ValueError(f"Unknown level: {level}") diff --git a/pyspedas/elfin/epd/postprocessing.py b/pyspedas/elfin/epd/postprocessing.py index d5d67202..086b1f21 100644 --- a/pyspedas/elfin/epd/postprocessing.py +++ b/pyspedas/elfin/epd/postprocessing.py @@ -3,8 +3,8 @@ from pytplot import get, store, del_data, tnames, tplot_rename, options, tplot from pyspedas.analysis.time_clip import time_clip as tclip -from .calibration_l2 import epd_l2_Espectra, epd_l2_PAspectra -from .calibration import calibrate_epd +from pyspedas.elfin.epd.calibration_l2 import epd_l2_Espectra, epd_l2_PAspectra +from pyspedas.elfin.epd.calibration import calibrate_epd def epd_l1_postprocessing( tplotnames, @@ -106,6 +106,8 @@ def epd_l2_postprocessing( fluxtype='nflux', res='hs', datatype='e', + PAspec_energies = None, + PAspec_energybins = None, ): """ Process ELF EPD L2 data and generate omni, para, anti, perp flux spectra. @@ -149,11 +151,13 @@ def epd_l2_postprocessing( logging.error(f'{len(LC_tname)} LC tplot variables is found!') return + logging.info("ELFIN EPD L2: START ENERGY SPECTOGRAM.") # get energy spectra in four directions tvars = epd_l2_Espectra(flux_tname[0], LC_tname[0]) + logging.info("ELFIN EPD L2: START PITCH ANGLE SPECTOGRAM.") # get pitch angle spectra #tvars = epd_l2_PAspectra(flux_tname[0], energies=[(60, 200),(300, 1000)]) - tvars = epd_l2_PAspectra(flux_tname[0]) + tvars = epd_l2_PAspectra(flux_tname[0], energies=PAspec_energies, energybins=PAspec_energybins) return tvars \ No newline at end of file diff --git a/pyspedas/elfin/state/state.py b/pyspedas/elfin/state/state.py index 7d2d1fe1..a429894f 100644 --- a/pyspedas/elfin/state/state.py +++ b/pyspedas/elfin/state/state.py @@ -1,4 +1,4 @@ -from .load import load +from pyspedas.elfin.load import load def state(trange=['2020-11-5/10:00', '2020-11-5/12:00'], probe='a', diff --git a/pyspedas/elfin/tests/test_epd_l2_spectrogram.py b/pyspedas/elfin/tests/test_epd_l2_spectrogram.py new file mode 100644 index 00000000..fe84fc2e --- /dev/null +++ b/pyspedas/elfin/tests/test_epd_l2_spectrogram.py @@ -0,0 +1,296 @@ +"""Tests of epd l2 spectogram.""" +import pyspedas.elfin +import pytplot.get_data +from pytplot.importers.tplot_restore import tplot_restore +import unittest +from numpy.testing import assert_allclose, assert_array_almost_equal, assert_array_equal, assert_array_almost_equal_nulp +import numpy as np +from pyspedas.elfin.epd.calibration_l2 import spec_pa_sort +import logging + +class TestELFStateValidation(unittest.TestCase): + """Tests of the data been identical to SPEDAS (IDL).""" + + @classmethod + def setUpClass(cls): + """ + IDL Data has to be downloaded to perform these tests + The IDL script that creates data file: + https://github.com/spedas/pyspedas-validation/blob/cal_fit/src/themis/validation_files/thm_load_fit_validation_files.pro + """ + # TODO: + # 1. upload .pro file to repo and change the directory here + # 2. upload .tplot file to server and change the directory here + # 3. add download file from server + + # Testing time range + cls.t = ['2022-08-03/08:30:00','2022-08-03/09:00:00'] + #cls.probe = 'a' + #cls.t = ['2021-04-26/00:34:18','2021-04-26/00:40:18'] + #cls.probe = 'b' + #cls.t = ['2022-08-28/15:54','2022-08-28/16:15'] + cls.probe = 'a' + # Load state validation variables from the test file + filename = f"elfin_data/validation_el{cls.probe}_state_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + tplot_restore(filename) + cls.elf_pos_gei = pytplot.get_data(f"el{cls.probe}_pos_gei") + cls.elf_vel_gei = pytplot.get_data(f"el{cls.probe}_vel_gei") + cls.elf_att_gei = pytplot.get_data(f"el{cls.probe}_att_gei") + cls.elf_att_solution = pytplot.get_data(f"el{cls.probe}_att_solution_date") + cls.elf_att_flag = pytplot.get_data(f"el{cls.probe}_att_flag") + cls.elf_att_spinper = pytplot.get_data(f"el{cls.probe}_att_spinper") + cls.elf_spin_orbnorm = pytplot.get_data(f"el{cls.probe}_spin_orbnorm_angle") + cls.elf_spin_sun = pytplot.get_data(f"el{cls.probe}_spin_sun_angle") + + # load epd l2 hs nflux spectrogram + filename = f"elfin_data/validation_el{cls.probe}_epd_l2_hs_nflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + tplot_restore(filename) + cls.elf_pef_hs_nflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_hs_nflux_ch0") + cls.elf_pef_hs_nflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_hs_nflux_ch1") + cls.elf_pef_hs_nflux_ch2 = pytplot.get_data(f"el{cls.probe}_pef_hs_nflux_ch2") + cls.elf_pef_hs_nflux_ch3 = pytplot.get_data(f"el{cls.probe}_pef_hs_nflux_ch3") + cls.elf_pef_hs_nflux_omni = pytplot.get_data(f"el{cls.probe}_pef_hs_nflux_omni") + cls.elf_pef_hs_nflux_para = pytplot.get_data(f"el{cls.probe}_pef_hs_nflux_para") + cls.elf_pef_hs_nflux_anti = pytplot.get_data(f"el{cls.probe}_pef_hs_nflux_anti") + cls.elf_pef_hs_nflux_perp = pytplot.get_data(f"el{cls.probe}_pef_hs_nflux_perp") + cls.elf_pef_hs_antiLCdeg = pytplot.get_data(f"el{cls.probe}_pef_hs_antiLCdeg") + cls.elf_pef_hs_LCdeg = pytplot.get_data(f"el{cls.probe}_pef_hs_LCdeg") + cls.elf_pef_Et_nflux = pytplot.get_data(f"el{cls.probe}_pef_Et_nflux") + cls.elf_pef_pa = pytplot.get_data(f"el{cls.probe}_pef_pa") + cls.elf_pef_hs_Epat_nflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_hs_Epat_nflux_ch0") # Epat is 3d, can't save it with idl + cls.elf_pef_hs_Epat_nflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_hs_Epat_nflux_ch1") + + # load epd l2 hs eflux spectrogram + filename = f"elfin_data/validation_el{cls.probe}_epd_l2_hs_eflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + tplot_restore(filename) + cls.elf_pef_hs_eflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_hs_eflux_ch0") + cls.elf_pef_hs_eflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_hs_eflux_ch1") + cls.elf_pef_hs_eflux_ch2 = pytplot.get_data(f"el{cls.probe}_pef_hs_eflux_ch2") + cls.elf_pef_hs_eflux_ch3 = pytplot.get_data(f"el{cls.probe}_pef_hs_eflux_ch3") + cls.elf_pef_hs_eflux_omni = pytplot.get_data(f"el{cls.probe}_pef_hs_eflux_omni") + cls.elf_pef_hs_eflux_para = pytplot.get_data(f"el{cls.probe}_pef_hs_eflux_para") + cls.elf_pef_hs_eflux_anti = pytplot.get_data(f"el{cls.probe}_pef_hs_eflux_anti") + cls.elf_pef_hs_eflux_perp = pytplot.get_data(f"el{cls.probe}_pef_hs_eflux_perp") + cls.elf_pef_Et_eflux = pytplot.get_data(f"el{cls.probe}_pef_Et_eflux") + cls.elf_pef_hs_Epat_eflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_hs_Epat_eflux_ch0") # Epat is 3d, can't save it with idl + cls.elf_pef_hs_Epat_eflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_hs_Epat_eflux_ch1") + + # load epd l2 fs nflux spectrogram + filename = f"elfin_data/validation_el{cls.probe}_epd_l2_fs_nflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + tplot_restore(filename) + cls.elf_pef_fs_nflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_ch0") + cls.elf_pef_fs_nflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_ch1") + cls.elf_pef_fs_nflux_ch2 = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_ch2") + cls.elf_pef_fs_nflux_ch3 = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_ch3") + cls.elf_pef_fs_nflux_omni = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_omni") + cls.elf_pef_fs_nflux_para = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_para") + cls.elf_pef_fs_nflux_anti = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_anti") + cls.elf_pef_fs_nflux_perp = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_perp") + cls.elf_pef_fs_antiLCdeg = pytplot.get_data(f"el{cls.probe}_pef_fs_antiLCdeg") + cls.elf_pef_fs_LCdeg = pytplot.get_data(f"el{cls.probe}_pef_fs_LCdeg") + cls.elf_pef_fs_Epat_nflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_fs_Epat_nflux_ch0") # Epat is 3d, can't save it with idl + cls.elf_pef_fs_Epat_nflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_fs_Epat_nflux_ch1") + + # load epd l2 fs eflux spectrogram + filename = f"elfin_data/validation_el{cls.probe}_epd_l2_fs_eflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + tplot_restore(filename) + cls.elf_pef_fs_eflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_fs_eflux_ch0") + cls.elf_pef_fs_eflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_fs_eflux_ch1") + cls.elf_pef_fs_eflux_omni = pytplot.get_data(f"el{cls.probe}_pef_fs_eflux_omni") + cls.elf_pef_fs_eflux_para = pytplot.get_data(f"el{cls.probe}_pef_fs_eflux_para") + cls.elf_pef_fs_eflux_anti = pytplot.get_data(f"el{cls.probe}_pef_fs_eflux_anti") + cls.elf_pef_fs_eflux_perp = pytplot.get_data(f"el{cls.probe}_pef_fs_eflux_perp") + cls.elf_pef_fs_Epat_eflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_fs_Epat_eflux_ch0") # Epat is 3d, can't save it with idl + cls.elf_pef_fs_Epat_eflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_fs_Epat_eflux_ch1") + + + def setUp(self): + """ We need to clean tplot variables before each run""" + pytplot.del_data('*') + + + def test_state(self): + """Validate state data.""" + pyspedas.elfin.state(trange=self.t, probe=self.probe) + elf_pos_gei = pytplot.get_data(f"el{self.probe}_pos_gei") + elf_vel_gei = pytplot.get_data(f"el{self.probe}_vel_gei") + elf_att_gei = pytplot.get_data(f"el{self.probe}_att_gei") + elf_att_solution = pytplot.get_data(f"el{self.probe}_att_solution_date") + elf_att_flag = pytplot.get_data(f"el{self.probe}_att_flag") + elf_att_spinper = pytplot.get_data(f"el{self.probe}_att_spinper") + elf_spin_orbnorm = pytplot.get_data(f"el{self.probe}_spin_orbnorm_angle") + elf_spin_sun = pytplot.get_data(f"el{self.probe}_spin_sun_angle") + + assert_array_almost_equal(elf_pos_gei.y, self.elf_pos_gei.y, decimal=4) + assert_array_almost_equal(elf_vel_gei.y, self.elf_vel_gei.y, decimal=4) + assert_array_almost_equal(elf_att_gei.y, self.elf_att_gei.y, decimal=2) + assert_allclose(elf_att_solution.times, self.elf_att_solution.y, rtol=1e-3) + assert_array_equal(elf_att_flag.y, self.elf_att_flag.y) + assert_allclose(elf_att_spinper.y, self.elf_att_spinper.y, rtol=1e-2) + assert_allclose(elf_spin_orbnorm.y, self.elf_spin_orbnorm.y, rtol=1e-2) + assert_allclose(elf_spin_sun.y, self.elf_spin_sun.y, rtol=1e-2) + + logging.info("STATE DATA TEST FINISHED.") + + + def test_epd_l2_hs_nflux(self): + """Validate epd l2 halfspin nflux spectogram""" + pyspedas.elfin.epd(trange=self.t, probe=self.probe, level='l2',no_update=True) + elf_pef_hs_nflux_ch0 = pytplot.get_data(f"el{self.probe}_pef_hs_nflux_ch0") + elf_pef_hs_nflux_ch1 = pytplot.get_data(f"el{self.probe}_pef_hs_nflux_ch1") + elf_pef_hs_nflux_ch2 = pytplot.get_data(f"el{self.probe}_pef_hs_nflux_ch2") + elf_pef_hs_nflux_ch3 = pytplot.get_data(f"el{self.probe}_pef_hs_nflux_ch3") + elf_pef_hs_nflux_perp = pytplot.get_data(f"el{self.probe}_pef_hs_nflux_perp") + elf_pef_hs_nflux_anti = pytplot.get_data(f"el{self.probe}_pef_hs_nflux_anti") + elf_pef_hs_nflux_para = pytplot.get_data(f"el{self.probe}_pef_hs_nflux_para") + elf_pef_hs_nflux_omni = pytplot.get_data(f"el{self.probe}_pef_hs_nflux_omni") + elf_pef_hs_antiLCdeg = pytplot.get_data(f"el{self.probe}_pef_hs_antiLCdeg") + elf_pef_hs_LCdeg = pytplot.get_data(f"el{self.probe}_pef_hs_LCdeg") + elf_pef_hs_Epat_nflux = pytplot.get_data(f"el{self.probe}_pef_hs_Epat_nflux") + elf_pef_Et_nflux = pytplot.get_data(f"el{self.probe}_pef_Et_nflux") + elf_pef_pa = pytplot.get_data(f"el{self.probe}_pef_pa") + + assert_array_almost_equal(elf_pef_hs_Epat_nflux.v1, self.elf_pef_hs_Epat_nflux_ch1.v, decimal=1) + assert_array_almost_equal(elf_pef_hs_Epat_nflux.y[:,:,0], self.elf_pef_hs_Epat_nflux_ch0.y, decimal=1) + assert_array_almost_equal(elf_pef_hs_Epat_nflux.y[:,:,1], self.elf_pef_hs_Epat_nflux_ch1.y, decimal=1) + assert_array_almost_equal(elf_pef_hs_LCdeg.y, self.elf_pef_hs_LCdeg.y, decimal=1) + assert_array_almost_equal(elf_pef_hs_antiLCdeg.y, self.elf_pef_hs_antiLCdeg.y, decimal=1) + assert_array_almost_equal(elf_pef_pa.y, self.elf_pef_pa.y, decimal=1) + assert_allclose(elf_pef_Et_nflux.y, self.elf_pef_Et_nflux.y, rtol=1e-03) + assert_allclose(elf_pef_hs_nflux_omni.y, self.elf_pef_hs_nflux_omni.y, rtol=1e-02) + assert_allclose(elf_pef_hs_nflux_para.y, self.elf_pef_hs_nflux_para.y, rtol=1e-02) + assert_allclose(elf_pef_hs_nflux_anti.y, self.elf_pef_hs_nflux_anti.y, rtol=1e-02) + assert_allclose(elf_pef_hs_nflux_perp.y, self.elf_pef_hs_nflux_perp.y, rtol=1e-02) + # test pa spectogram ch0 + spec2plot, pas2plot = spec_pa_sort(self.elf_pef_hs_nflux_ch0.y, self.elf_pef_hs_nflux_ch0.v) # idl variable use aceding and decending pa + assert_allclose(elf_pef_hs_nflux_ch0.y, spec2plot, rtol=1e-02) + # test pa spectogram ch1 + spec2plot, pas2plot = spec_pa_sort(self.elf_pef_hs_nflux_ch1.y, self.elf_pef_hs_nflux_ch1.v) + assert_allclose(elf_pef_hs_nflux_ch1.y, spec2plot, rtol=1e-02) + # test pa spectogram ch2 + spec2plot, pas2plot = spec_pa_sort(self.elf_pef_hs_nflux_ch2.y, self.elf_pef_hs_nflux_ch2.v) + assert_allclose(elf_pef_hs_nflux_ch2.y, spec2plot, rtol=1e-02) + # test pa spectogram ch3 + spec2plot, pas2plot = spec_pa_sort(self.elf_pef_hs_nflux_ch3.y, self.elf_pef_hs_nflux_ch3.v) + assert_allclose(elf_pef_hs_nflux_ch3.y, spec2plot, rtol=1e-02) + + logging.info("HALFSPIN NFLUX DATA TEST FINISHED.") + + + def test_epd_l2_hs_eflux(self): + """Validate epd l2 halfspin eflux spectogram""" + pyspedas.elfin.epd(trange=self.t, probe=self.probe, level='l2',no_update=True, type_='eflux') + elf_pef_hs_eflux_ch0 = pytplot.get_data(f"el{self.probe}_pef_hs_eflux_ch0") + elf_pef_hs_eflux_ch1 = pytplot.get_data(f"el{self.probe}_pef_hs_eflux_ch1") + elf_pef_hs_eflux_ch2 = pytplot.get_data(f"el{self.probe}_pef_hs_eflux_ch2") + elf_pef_hs_eflux_ch3 = pytplot.get_data(f"el{self.probe}_pef_hs_eflux_ch3") + elf_pef_hs_eflux_perp = pytplot.get_data(f"el{self.probe}_pef_hs_eflux_perp") + elf_pef_hs_eflux_anti = pytplot.get_data(f"el{self.probe}_pef_hs_eflux_anti") + elf_pef_hs_eflux_para = pytplot.get_data(f"el{self.probe}_pef_hs_eflux_para") + elf_pef_hs_eflux_omni = pytplot.get_data(f"el{self.probe}_pef_hs_eflux_omni") + elf_pef_hs_Epat_eflux = pytplot.get_data(f"el{self.probe}_pef_hs_Epat_eflux") + elf_pef_Et_eflux = pytplot.get_data(f"el{self.probe}_pef_Et_eflux") + + assert_array_almost_equal(elf_pef_hs_Epat_eflux.v1, self.elf_pef_hs_Epat_eflux_ch1.v, decimal=1) + assert_array_almost_equal(elf_pef_hs_Epat_eflux.y[:,:,0], self.elf_pef_hs_Epat_eflux_ch0.y, decimal=1) + assert_array_almost_equal(elf_pef_hs_Epat_eflux.y[:,:,1], self.elf_pef_hs_Epat_eflux_ch1.y, decimal=1) + assert_allclose(elf_pef_Et_eflux.y, self.elf_pef_Et_eflux.y, rtol=1e-03) + assert_allclose(elf_pef_hs_eflux_omni.y, self.elf_pef_hs_eflux_omni.y, rtol=1e-02) + assert_allclose(elf_pef_hs_eflux_para.y, self.elf_pef_hs_eflux_para.y, rtol=1e-02) + assert_allclose(elf_pef_hs_eflux_anti.y, self.elf_pef_hs_eflux_anti.y, rtol=1e-02) + assert_allclose(elf_pef_hs_eflux_perp.y, self.elf_pef_hs_eflux_perp.y, rtol=1e-02) + # test pa spectogram ch0 + spec2plot, pas2plot = spec_pa_sort(self.elf_pef_hs_eflux_ch0.y, self.elf_pef_hs_eflux_ch0.v) # idl variable use aceding and decending pa + assert_allclose(elf_pef_hs_eflux_ch0.y, spec2plot, rtol=1e-02) + # test pa spectogram ch1 + spec2plot, pas2plot = spec_pa_sort(self.elf_pef_hs_eflux_ch1.y, self.elf_pef_hs_eflux_ch1.v) + assert_allclose(elf_pef_hs_eflux_ch1.y, spec2plot, rtol=1e-02) + # test pa spectogram ch2 + spec2plot, pas2plot = spec_pa_sort(self.elf_pef_hs_eflux_ch2.y, self.elf_pef_hs_eflux_ch2.v) + assert_allclose(elf_pef_hs_eflux_ch2.y, spec2plot, rtol=1e-02) + # test pa spectogram ch3 + spec2plot, pas2plot = spec_pa_sort(self.elf_pef_hs_eflux_ch3.y, self.elf_pef_hs_eflux_ch3.v) + assert_allclose(elf_pef_hs_eflux_ch3.y, spec2plot, rtol=1e-02) + + logging.info("HALFSPIN EFLUX DATA TEST FINISHED.") + + + def test_epd_l2_fs_nflux(self): + """Validate epd l2 fullspin nflux spectogram""" + pyspedas.elfin.epd( + trange=self.t, + probe=self.probe, + level='l2', + no_update=True, + fullspin=True, + PAspec_energybins=[(0,3),(4,6)], + ) + elf_pef_fs_nflux_ch0 = pytplot.get_data(f"el{self.probe}_pef_fs_nflux_ch0") + elf_pef_fs_nflux_ch1 = pytplot.get_data(f"el{self.probe}_pef_fs_nflux_ch1") + elf_pef_fs_nflux_ch2 = pytplot.get_data(f"el{self.probe}_pef_fs_nflux_ch2") + elf_pef_fs_nflux_ch3 = pytplot.get_data(f"el{self.probe}_pef_fs_nflux_ch3") + elf_pef_fs_nflux_perp = pytplot.get_data(f"el{self.probe}_pef_fs_nflux_perp") + elf_pef_fs_nflux_anti = pytplot.get_data(f"el{self.probe}_pef_fs_nflux_anti") + elf_pef_fs_nflux_para = pytplot.get_data(f"el{self.probe}_pef_fs_nflux_para") + elf_pef_fs_nflux_omni = pytplot.get_data(f"el{self.probe}_pef_fs_nflux_omni") + elf_pef_fs_antiLCdeg = pytplot.get_data(f"el{self.probe}_pef_fs_antiLCdeg") + elf_pef_fs_LCdeg = pytplot.get_data(f"el{self.probe}_pef_fs_LCdeg") + elf_pef_fs_Epat_nflux = pytplot.get_data(f"el{self.probe}_pef_fs_Epat_nflux") + + assert_array_almost_equal(elf_pef_fs_Epat_nflux.v1, self.elf_pef_fs_Epat_nflux_ch1.v, decimal=1) + assert_array_almost_equal(elf_pef_fs_Epat_nflux.y[:,:,0], self.elf_pef_fs_Epat_nflux_ch0.y, decimal=1) + assert_array_almost_equal(elf_pef_fs_Epat_nflux.y[:,:,1], self.elf_pef_fs_Epat_nflux_ch1.y, decimal=1) + assert_array_almost_equal(elf_pef_fs_LCdeg.y, self.elf_pef_fs_LCdeg.y, decimal=1) + assert_array_almost_equal(elf_pef_fs_antiLCdeg.y, self.elf_pef_fs_antiLCdeg.y, decimal=1) + assert_allclose(elf_pef_fs_nflux_omni.y, self.elf_pef_fs_nflux_omni.y, rtol=1e-02) + assert_allclose(elf_pef_fs_nflux_para.y, self.elf_pef_fs_nflux_para.y, rtol=1e-02) + assert_allclose(elf_pef_fs_nflux_anti.y, self.elf_pef_fs_nflux_anti.y, rtol=1e-02) + assert_allclose(elf_pef_fs_nflux_perp.y, self.elf_pef_fs_nflux_perp.y, rtol=1e-02) + # test pa spectogram ch0 + spec2plot, pas2plot = spec_pa_sort(self.elf_pef_fs_nflux_ch0.y, self.elf_pef_fs_nflux_ch0.v) # idl variable use aceding and decending pa + assert_allclose(elf_pef_fs_nflux_ch0.y, spec2plot, rtol=1e-02) + # test pa spectogram ch1 + spec2plot, pas2plot = spec_pa_sort(self.elf_pef_fs_nflux_ch1.y, self.elf_pef_fs_nflux_ch1.v) + assert_allclose(elf_pef_fs_nflux_ch1.y, spec2plot, rtol=1e-02) + + logging.info("FULLSPIN NFLUX DATA TEST FINISHED.") + + + def test_epd_l2_fs_eflux(self): + """Validate epd l2 fullspin eflux spectogram""" + pyspedas.elfin.epd( + trange=self.t, + probe=self.probe, + level='l2', + no_update=True, + fullspin=True, + type_='eflux', + PAspec_energies=[(50,250),(250,430)] + ) + elf_pef_fs_eflux_ch0 = pytplot.get_data(f"el{self.probe}_pef_fs_eflux_ch0") + elf_pef_fs_eflux_ch1 = pytplot.get_data(f"el{self.probe}_pef_fs_eflux_ch1") + elf_pef_fs_eflux_perp = pytplot.get_data(f"el{self.probe}_pef_fs_eflux_perp") + elf_pef_fs_eflux_anti = pytplot.get_data(f"el{self.probe}_pef_fs_eflux_anti") + elf_pef_fs_eflux_para = pytplot.get_data(f"el{self.probe}_pef_fs_eflux_para") + elf_pef_fs_eflux_omni = pytplot.get_data(f"el{self.probe}_pef_fs_eflux_omni") + elf_pef_fs_Epat_eflux = pytplot.get_data(f"el{self.probe}_pef_fs_Epat_eflux") + + assert_array_almost_equal(elf_pef_fs_Epat_eflux.v1, self.elf_pef_fs_Epat_eflux_ch1.v, decimal=1) + assert_array_almost_equal(elf_pef_fs_Epat_eflux.y[:,:,0], self.elf_pef_fs_Epat_eflux_ch0.y, decimal=1) + assert_array_almost_equal(elf_pef_fs_Epat_eflux.y[:,:,1], self.elf_pef_fs_Epat_eflux_ch1.y, decimal=1) + assert_allclose(elf_pef_fs_eflux_omni.y, self.elf_pef_fs_eflux_omni.y, rtol=1e-02) + assert_allclose(elf_pef_fs_eflux_para.y, self.elf_pef_fs_eflux_para.y, rtol=1e-02) + assert_allclose(elf_pef_fs_eflux_anti.y, self.elf_pef_fs_eflux_anti.y, rtol=1e-02) + assert_allclose(elf_pef_fs_eflux_perp.y, self.elf_pef_fs_eflux_perp.y, rtol=1e-02) + # test pa spectogram ch0 + spec2plot, pas2plot = spec_pa_sort(self.elf_pef_fs_eflux_ch0.y, self.elf_pef_fs_eflux_ch0.v) # idl variable use aceding and decending pa + assert_allclose(elf_pef_fs_eflux_ch0.y, spec2plot, rtol=1e-02) + # test pa spectogram ch1 + spec2plot, pas2plot = spec_pa_sort(self.elf_pef_fs_eflux_ch1.y, self.elf_pef_fs_eflux_ch1.v) + assert_allclose(elf_pef_fs_eflux_ch1.y, spec2plot, rtol=1e-02) + + logging.info("FULLSPIN EFLUX DATA TEST FINISHED.") + + +if __name__ == '__main__': + unittest.main() diff --git a/pyspedas/elfin/tests/test_state.py b/pyspedas/elfin/tests/test_state.py index a00229bb..e602c4dc 100644 --- a/pyspedas/elfin/tests/test_state.py +++ b/pyspedas/elfin/tests/test_state.py @@ -1,9 +1,8 @@ -"""Tests of cal_fit function.""" +"""Tests of load elfin state data.""" import pyspedas.elfin import pytplot.get_data from pytplot.importers.tplot_restore import tplot_restore import unittest -import numpy as np from numpy.testing import assert_allclose, assert_array_almost_equal, assert_array_equal @@ -17,25 +16,26 @@ def setUpClass(cls): The IDL script that creates data file: https://github.com/spedas/pyspedas-validation/blob/cal_fit/src/themis/validation_files/thm_load_fit_validation_files.pro """ + # TODO: + # 1. upload .pro file to repo and change the directory here + # 2. upload .tplot file to server and change the directory here + # 3. add download file from server # Testing time range cls.t = ['2022-01-14/06:28', '2022-01-14/06:35'] - - # Testing tollerange - cls.tol = 1e-3 - + cls.probe = 'a' # Load validation variables from the test file filename = 'elfin_data/elf_state_validation.tplot' tplot_restore(filename) - cls.elf_pos_gei = pytplot.get_data('ela_pos_gei') - cls.elf_vel_gei = pytplot.get_data('ela_vel_gei') - cls.elf_att_gei = pytplot.get_data('ela_att_gei') - cls.elf_att_solution = pytplot.get_data('ela_att_solution_date') - cls.elf_att_flag = pytplot.get_data('ela_att_flag') - cls.elf_att_spinper = pytplot.get_data('ela_att_spinper') - cls.elf_spin_orbnorm = pytplot.get_data('ela_spin_orbnorm_angle') - cls.elf_spin_sun = pytplot.get_data('ela_spin_sun_angle') + cls.elf_pos_gei = pytplot.get_data(f"el{cls.probe}_pos_gei") + cls.elf_vel_gei = pytplot.get_data(f"el{cls.probe}_vel_gei") + cls.elf_att_gei = pytplot.get_data(f"el{cls.probe}_att_gei") + cls.elf_att_solution = pytplot.get_data(f"el{cls.probe}_att_solution_date") + cls.elf_att_flag = pytplot.get_data(f"el{cls.probe}_att_flag") + cls.elf_att_spinper = pytplot.get_data(f"el{cls.probe}_att_spinper") + cls.elf_spin_orbnorm = pytplot.get_data(f"el{cls.probe}_spin_orbnorm_angle") + cls.elf_spin_sun = pytplot.get_data(f"el{cls.probe}_spin_sun_angle") def setUp(self): @@ -44,15 +44,15 @@ def setUp(self): def test_state_pos(self): """Validate load data.""" - pyspedas.elfin.state(trange=['2022-01-14/06:28', '2022-01-14/06:35'], probe='a') - elf_pos_gei = pytplot.get_data('ela_pos_gei') - elf_vel_gei = pytplot.get_data('ela_vel_gei') - elf_att_gei = pytplot.get_data('ela_att_gei') - elf_att_solution = pytplot.get_data('ela_att_solution_date') - elf_att_flag = pytplot.get_data('ela_att_flag') - elf_att_spinper = pytplot.get_data('ela_att_spinper') - elf_spin_orbnorm = pytplot.get_data('ela_spin_orbnorm_angle') - elf_spin_sun = pytplot.get_data('ela_spin_sun_angle') + pyspedas.elfin.state(trange=self.t, probe=self.probe) + elf_pos_gei = pytplot.get_data(f"el{self.probe}_pos_gei") + elf_vel_gei = pytplot.get_data(f"el{self.probe}_vel_gei") + elf_att_gei = pytplot.get_data(f"el{self.probe}_att_gei") + elf_att_solution = pytplot.get_data(f"el{self.probe}_att_solution_date") + elf_att_flag = pytplot.get_data(f"el{self.probe}_att_flag") + elf_att_spinper = pytplot.get_data(f"el{self.probe}_att_spinper") + elf_spin_orbnorm = pytplot.get_data(f"el{self.probe}_spin_orbnorm_angle") + elf_spin_sun = pytplot.get_data(f"el{self.probe}_spin_sun_angle") assert_array_almost_equal(elf_pos_gei.y, self.elf_pos_gei.y, decimal=4) assert_array_almost_equal(elf_vel_gei.y, self.elf_vel_gei.y, decimal=4) From 55f8d92e66d634a3f7c058d8ad18bd2d8759eeb1 Mon Sep 17 00:00:00 2001 From: jwu Date: Wed, 6 Sep 2023 23:24:02 -0700 Subject: [PATCH 23/29] change l1 calibration file name. add elb epd l2 validation. --- .../epd/{calibration.py => calibration_l1.py} | 0 pyspedas/elfin/epd/epd.py | 31 ++++++++- pyspedas/elfin/epd/postprocessing.py | 33 ++++++++-- pyspedas/elfin/tests/test_epd_calibration.py | 2 +- .../elfin/tests/test_epd_l2_spectrogram.py | 66 +++++++++---------- 5 files changed, 90 insertions(+), 42 deletions(-) rename pyspedas/elfin/epd/{calibration.py => calibration_l1.py} (100%) diff --git a/pyspedas/elfin/epd/calibration.py b/pyspedas/elfin/epd/calibration_l1.py similarity index 100% rename from pyspedas/elfin/epd/calibration.py rename to pyspedas/elfin/epd/calibration_l1.py diff --git a/pyspedas/elfin/epd/epd.py b/pyspedas/elfin/epd/epd.py index 26c0af33..58a0bd64 100644 --- a/pyspedas/elfin/epd/epd.py +++ b/pyspedas/elfin/epd/epd.py @@ -18,7 +18,6 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], no_update=False, time_clip=True, nspinsinsum=None, - no_spec=False, fullspin=False, PAspec_energies=None, PAspec_energybins=None, @@ -88,6 +87,34 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], If true, generate full spin with l2 epd instead of half spin Default is False + PAspec_energybins: list of tuple of int, optional + Specified the energy bins used for generating l2 pitch angle spectra. + Default is [(0,2),(3,5), (6,8), (9,15)]. If both 'PAspec_energybins' and 'PAspec_energies' + are set, 'energybins' takes precedence + + PAspec_energies: list of tuple of float, optional + Specifies the energy range for each bin in the l2 pitch angle spectra. + Example: energies=[(50.,160.),(160.,345.),(345.,900.),(900.,7000.)] + If both 'energybins' and 'energies' are set, 'energybins' takes precedence. + Energy and energybin table: + channel energy_range energy_midbin + 0 50-80 63.2 + 1 80-120 97.9 + 2 120-160 138.5 + 3 160-210 183.3 + 4 210-270 238.1 + 5 270-345 305.2 + 6 345-430 385.1 + 7 430-630 520.4 + 8 630-900 752.9 + 9 900-1300 1081.6 + 10 1300-1800 1529.7 + 11 1800-2500 2121.3 + 12 2500-3350 2893.9 + 13 3350-4150 3728.6 + 14 4150-5800 4906.1 + 15 5800+ 6500.0 + Returns ---------- List of tplot variables created. @@ -113,7 +140,7 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], if level == "l1": return epd_l1_postprocessing(tvars, trange=trange, type_=type_, nspinsinsum=nspinsinsum, - unit=CALIBRATED_TYPE_UNITS[type_], no_spec=no_spec) + unit=CALIBRATED_TYPE_UNITS[type_]) elif level == "l2": logging.info("ELFIN EPD L2: START PROCESSING.") # check whether input type is allowed diff --git a/pyspedas/elfin/epd/postprocessing.py b/pyspedas/elfin/epd/postprocessing.py index 086b1f21..c0bd7e61 100644 --- a/pyspedas/elfin/epd/postprocessing.py +++ b/pyspedas/elfin/epd/postprocessing.py @@ -4,7 +4,7 @@ from pyspedas.analysis.time_clip import time_clip as tclip from pyspedas.elfin.epd.calibration_l2 import epd_l2_Espectra, epd_l2_PAspectra -from pyspedas.elfin.epd.calibration import calibrate_epd +from pyspedas.elfin.epd.calibration_l1 import calibrate_epd def epd_l1_postprocessing( tplotnames, @@ -12,7 +12,6 @@ def epd_l1_postprocessing( type_=None, nspinsinsum=None, unit=None, - no_spec=False, ): """ Calibrates data from the Energetic Particle Detector (EPD) and sets dlimits. @@ -36,9 +35,6 @@ def epd_l1_postprocessing( unit : str, optional Units of the data. - no_spec : bool - Flag to set tplot options to linear rather than the default of spec. - Default is False. Returns ---------- @@ -132,6 +128,33 @@ def epd_l2_postprocessing( Options: 'e' for electron data, 'i' for ion data Default is 'e'. + PAspec_energybins: list of tuple of int, optional + Specified the energy bins used for generating l2 pitch angle spectra. + Default is [(0,2),(3,5), (6,8), (9,15)]. If both 'PAspec_energybins' and 'PAspec_energies' + are set, 'energybins' takes precedence + + PAspec_energies: list of tuple of float, optional + Specifies the energy range for each bin in the l2 pitch angle spectra. + Example: energies=[(50.,160.),(160.,345.),(345.,900.),(900.,7000.)] + If both 'energybins' and 'energies' are set, 'energybins' takes precedence. + Energy and energybin table: + channel energy_range energy_midbin + 0 50-80 63.2 + 1 80-120 97.9 + 2 120-160 138.5 + 3 160-210 183.3 + 4 210-270 238.1 + 5 270-345 305.2 + 6 345-430 385.1 + 7 430-630 520.4 + 8 630-900 752.9 + 9 900-1300 1081.6 + 10 1300-1800 1529.7 + 11 1800-2500 2121.3 + 12 2500-3350 2893.9 + 13 3350-4150 3728.6 + 14 4150-5800 4906.1 + 15 5800+ 6500.0 Returns ---------- diff --git a/pyspedas/elfin/tests/test_epd_calibration.py b/pyspedas/elfin/tests/test_epd_calibration.py index e440139a..32121caf 100644 --- a/pyspedas/elfin/tests/test_epd_calibration.py +++ b/pyspedas/elfin/tests/test_epd_calibration.py @@ -1,7 +1,7 @@ import unittest import importlib.resources -from pyspedas.elfin.epd.calibration import read_epde_calibration_data +from pyspedas.elfin.epd.calibration_l1 import read_epde_calibration_data EXPECTED_EPDE_CAL_DATA = [ {'ch_efficiencies': [0.74, 0.8, 0.85, 0.86, 0.87, 0.87, 0.87, 0.87, 0.82, 0.8, 0.75, 0.6, 0.5, 0.45, 0.25, 0.05], diff --git a/pyspedas/elfin/tests/test_epd_l2_spectrogram.py b/pyspedas/elfin/tests/test_epd_l2_spectrogram.py index fe84fc2e..57cdfa84 100644 --- a/pyspedas/elfin/tests/test_epd_l2_spectrogram.py +++ b/pyspedas/elfin/tests/test_epd_l2_spectrogram.py @@ -24,13 +24,15 @@ def setUpClass(cls): # 3. add download file from server # Testing time range - cls.t = ['2022-08-03/08:30:00','2022-08-03/09:00:00'] + #cls.t = ['2022-08-03/08:30:00','2022-08-03/09:00:00'] #cls.probe = 'a' - #cls.t = ['2021-04-26/00:34:18','2021-04-26/00:40:18'] - #cls.probe = 'b' + #cls.t = ['2022-04-12/19:00:00','2022-04-12/19:15:00'] + cls.t = ['2022-04-13/01:28:00','2022-04-13/01:35:00'] + cls.probe = 'b' #cls.t = ['2022-08-28/15:54','2022-08-28/16:15'] - cls.probe = 'a' + #cls.probe = 'a' # Load state validation variables from the test file + filename = f"elfin_data/validation_el{cls.probe}_state_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" tplot_restore(filename) cls.elf_pos_gei = pytplot.get_data(f"el{cls.probe}_pos_gei") @@ -80,8 +82,6 @@ def setUpClass(cls): tplot_restore(filename) cls.elf_pef_fs_nflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_ch0") cls.elf_pef_fs_nflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_ch1") - cls.elf_pef_fs_nflux_ch2 = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_ch2") - cls.elf_pef_fs_nflux_ch3 = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_ch3") cls.elf_pef_fs_nflux_omni = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_omni") cls.elf_pef_fs_nflux_para = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_para") cls.elf_pef_fs_nflux_anti = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_anti") @@ -120,7 +120,7 @@ def test_state(self): elf_att_spinper = pytplot.get_data(f"el{self.probe}_att_spinper") elf_spin_orbnorm = pytplot.get_data(f"el{self.probe}_spin_orbnorm_angle") elf_spin_sun = pytplot.get_data(f"el{self.probe}_spin_sun_angle") - + assert_array_almost_equal(elf_pos_gei.y, self.elf_pos_gei.y, decimal=4) assert_array_almost_equal(elf_vel_gei.y, self.elf_vel_gei.y, decimal=4) assert_array_almost_equal(elf_att_gei.y, self.elf_att_gei.y, decimal=2) @@ -149,14 +149,14 @@ def test_epd_l2_hs_nflux(self): elf_pef_hs_Epat_nflux = pytplot.get_data(f"el{self.probe}_pef_hs_Epat_nflux") elf_pef_Et_nflux = pytplot.get_data(f"el{self.probe}_pef_Et_nflux") elf_pef_pa = pytplot.get_data(f"el{self.probe}_pef_pa") - - assert_array_almost_equal(elf_pef_hs_Epat_nflux.v1, self.elf_pef_hs_Epat_nflux_ch1.v, decimal=1) - assert_array_almost_equal(elf_pef_hs_Epat_nflux.y[:,:,0], self.elf_pef_hs_Epat_nflux_ch0.y, decimal=1) - assert_array_almost_equal(elf_pef_hs_Epat_nflux.y[:,:,1], self.elf_pef_hs_Epat_nflux_ch1.y, decimal=1) - assert_array_almost_equal(elf_pef_hs_LCdeg.y, self.elf_pef_hs_LCdeg.y, decimal=1) - assert_array_almost_equal(elf_pef_hs_antiLCdeg.y, self.elf_pef_hs_antiLCdeg.y, decimal=1) - assert_array_almost_equal(elf_pef_pa.y, self.elf_pef_pa.y, decimal=1) - assert_allclose(elf_pef_Et_nflux.y, self.elf_pef_Et_nflux.y, rtol=1e-03) + + assert_allclose(elf_pef_hs_Epat_nflux.v1, self.elf_pef_hs_Epat_nflux_ch1.v[0:251,:], rtol=1e-02) + assert_allclose(elf_pef_hs_Epat_nflux.y[:,:,0], self.elf_pef_hs_Epat_nflux_ch0.y, rtol=1e-02) + assert_allclose(elf_pef_hs_Epat_nflux.y[:,:,1], self.elf_pef_hs_Epat_nflux_ch1.y, rtol=1e-02) + assert_allclose(elf_pef_hs_LCdeg.y, self.elf_pef_hs_LCdeg.y, rtol=1e-02) + assert_allclose(elf_pef_hs_antiLCdeg.y, self.elf_pef_hs_antiLCdeg.y, rtol=1e-02) + assert_allclose(elf_pef_pa.y, self.elf_pef_pa.y, rtol=1e-02) + assert_allclose(elf_pef_Et_nflux.y, self.elf_pef_Et_nflux.y, rtol=1e-02) assert_allclose(elf_pef_hs_nflux_omni.y, self.elf_pef_hs_nflux_omni.y, rtol=1e-02) assert_allclose(elf_pef_hs_nflux_para.y, self.elf_pef_hs_nflux_para.y, rtol=1e-02) assert_allclose(elf_pef_hs_nflux_anti.y, self.elf_pef_hs_nflux_anti.y, rtol=1e-02) @@ -191,14 +191,14 @@ def test_epd_l2_hs_eflux(self): elf_pef_hs_Epat_eflux = pytplot.get_data(f"el{self.probe}_pef_hs_Epat_eflux") elf_pef_Et_eflux = pytplot.get_data(f"el{self.probe}_pef_Et_eflux") - assert_array_almost_equal(elf_pef_hs_Epat_eflux.v1, self.elf_pef_hs_Epat_eflux_ch1.v, decimal=1) - assert_array_almost_equal(elf_pef_hs_Epat_eflux.y[:,:,0], self.elf_pef_hs_Epat_eflux_ch0.y, decimal=1) - assert_array_almost_equal(elf_pef_hs_Epat_eflux.y[:,:,1], self.elf_pef_hs_Epat_eflux_ch1.y, decimal=1) - assert_allclose(elf_pef_Et_eflux.y, self.elf_pef_Et_eflux.y, rtol=1e-03) - assert_allclose(elf_pef_hs_eflux_omni.y, self.elf_pef_hs_eflux_omni.y, rtol=1e-02) - assert_allclose(elf_pef_hs_eflux_para.y, self.elf_pef_hs_eflux_para.y, rtol=1e-02) - assert_allclose(elf_pef_hs_eflux_anti.y, self.elf_pef_hs_eflux_anti.y, rtol=1e-02) - assert_allclose(elf_pef_hs_eflux_perp.y, self.elf_pef_hs_eflux_perp.y, rtol=1e-02) + assert_allclose(elf_pef_hs_Epat_eflux.v1, self.elf_pef_hs_Epat_eflux_ch1.v, rtol=1e-02) + assert_allclose(elf_pef_hs_Epat_eflux.y[:,:,0], self.elf_pef_hs_Epat_eflux_ch0.y, rtol=1e-02) + assert_allclose(elf_pef_hs_Epat_eflux.y[:,:,1], self.elf_pef_hs_Epat_eflux_ch1.y, rtol=1e-02) + assert_allclose(elf_pef_Et_eflux.y, self.elf_pef_Et_eflux.y, rtol=1e-02) + assert_allclose(elf_pef_hs_eflux_omni.y, self.elf_pef_hs_eflux_omni.y, rtol=2e-02) + assert_allclose(elf_pef_hs_eflux_para.y, self.elf_pef_hs_eflux_para.y, rtol=2e-02) + assert_allclose(elf_pef_hs_eflux_anti.y, self.elf_pef_hs_eflux_anti.y, rtol=2e-02) + assert_allclose(elf_pef_hs_eflux_perp.y, self.elf_pef_hs_eflux_perp.y, rtol=2e-02) # test pa spectogram ch0 spec2plot, pas2plot = spec_pa_sort(self.elf_pef_hs_eflux_ch0.y, self.elf_pef_hs_eflux_ch0.v) # idl variable use aceding and decending pa assert_allclose(elf_pef_hs_eflux_ch0.y, spec2plot, rtol=1e-02) @@ -227,8 +227,6 @@ def test_epd_l2_fs_nflux(self): ) elf_pef_fs_nflux_ch0 = pytplot.get_data(f"el{self.probe}_pef_fs_nflux_ch0") elf_pef_fs_nflux_ch1 = pytplot.get_data(f"el{self.probe}_pef_fs_nflux_ch1") - elf_pef_fs_nflux_ch2 = pytplot.get_data(f"el{self.probe}_pef_fs_nflux_ch2") - elf_pef_fs_nflux_ch3 = pytplot.get_data(f"el{self.probe}_pef_fs_nflux_ch3") elf_pef_fs_nflux_perp = pytplot.get_data(f"el{self.probe}_pef_fs_nflux_perp") elf_pef_fs_nflux_anti = pytplot.get_data(f"el{self.probe}_pef_fs_nflux_anti") elf_pef_fs_nflux_para = pytplot.get_data(f"el{self.probe}_pef_fs_nflux_para") @@ -237,11 +235,11 @@ def test_epd_l2_fs_nflux(self): elf_pef_fs_LCdeg = pytplot.get_data(f"el{self.probe}_pef_fs_LCdeg") elf_pef_fs_Epat_nflux = pytplot.get_data(f"el{self.probe}_pef_fs_Epat_nflux") - assert_array_almost_equal(elf_pef_fs_Epat_nflux.v1, self.elf_pef_fs_Epat_nflux_ch1.v, decimal=1) - assert_array_almost_equal(elf_pef_fs_Epat_nflux.y[:,:,0], self.elf_pef_fs_Epat_nflux_ch0.y, decimal=1) - assert_array_almost_equal(elf_pef_fs_Epat_nflux.y[:,:,1], self.elf_pef_fs_Epat_nflux_ch1.y, decimal=1) - assert_array_almost_equal(elf_pef_fs_LCdeg.y, self.elf_pef_fs_LCdeg.y, decimal=1) - assert_array_almost_equal(elf_pef_fs_antiLCdeg.y, self.elf_pef_fs_antiLCdeg.y, decimal=1) + assert_allclose(elf_pef_fs_Epat_nflux.v1, self.elf_pef_fs_Epat_nflux_ch1.v, rtol=1e-02) + assert_allclose(elf_pef_fs_Epat_nflux.y[:,:,0], self.elf_pef_fs_Epat_nflux_ch0.y, rtol=1e-02) + assert_allclose(elf_pef_fs_Epat_nflux.y[:,:,1], self.elf_pef_fs_Epat_nflux_ch1.y, rtol=1e-02) + assert_allclose(elf_pef_fs_LCdeg.y, self.elf_pef_fs_LCdeg.y, rtol=1e-02) + assert_allclose(elf_pef_fs_antiLCdeg.y, self.elf_pef_fs_antiLCdeg.y, rtol=1e-02) assert_allclose(elf_pef_fs_nflux_omni.y, self.elf_pef_fs_nflux_omni.y, rtol=1e-02) assert_allclose(elf_pef_fs_nflux_para.y, self.elf_pef_fs_nflux_para.y, rtol=1e-02) assert_allclose(elf_pef_fs_nflux_anti.y, self.elf_pef_fs_nflux_anti.y, rtol=1e-02) @@ -274,10 +272,10 @@ def test_epd_l2_fs_eflux(self): elf_pef_fs_eflux_para = pytplot.get_data(f"el{self.probe}_pef_fs_eflux_para") elf_pef_fs_eflux_omni = pytplot.get_data(f"el{self.probe}_pef_fs_eflux_omni") elf_pef_fs_Epat_eflux = pytplot.get_data(f"el{self.probe}_pef_fs_Epat_eflux") - - assert_array_almost_equal(elf_pef_fs_Epat_eflux.v1, self.elf_pef_fs_Epat_eflux_ch1.v, decimal=1) - assert_array_almost_equal(elf_pef_fs_Epat_eflux.y[:,:,0], self.elf_pef_fs_Epat_eflux_ch0.y, decimal=1) - assert_array_almost_equal(elf_pef_fs_Epat_eflux.y[:,:,1], self.elf_pef_fs_Epat_eflux_ch1.y, decimal=1) + + assert_allclose(elf_pef_fs_Epat_eflux.v1, self.elf_pef_fs_Epat_eflux_ch1.v, rtol=1e-02) + assert_allclose(elf_pef_fs_Epat_eflux.y[:,:,0], self.elf_pef_fs_Epat_eflux_ch0.y, rtol=1e-02) + assert_allclose(elf_pef_fs_Epat_eflux.y[:,:,1], self.elf_pef_fs_Epat_eflux_ch1.y, rtol=1e-02) assert_allclose(elf_pef_fs_eflux_omni.y, self.elf_pef_fs_eflux_omni.y, rtol=1e-02) assert_allclose(elf_pef_fs_eflux_para.y, self.elf_pef_fs_eflux_para.y, rtol=1e-02) assert_allclose(elf_pef_fs_eflux_anti.y, self.elf_pef_fs_eflux_anti.y, rtol=1e-02) From a10b5ed65d572cf068d631e728d092eef20754c0 Mon Sep 17 00:00:00 2001 From: jwu Date: Sat, 9 Sep 2023 19:59:44 -0700 Subject: [PATCH 24/29] add degap but set it false by default --- pyspedas/elfin/epd/calibration_l2.py | 46 +++++++++++++++++-- pyspedas/elfin/epd/epd.py | 28 +++++++++-- pyspedas/elfin/epd/postprocessing.py | 14 +++++- .../elfin/tests/test_epd_l2_spectrogram.py | 24 +++++++--- 4 files changed, 97 insertions(+), 15 deletions(-) diff --git a/pyspedas/elfin/epd/calibration_l2.py b/pyspedas/elfin/epd/calibration_l2.py index 48b1667f..15624138 100644 --- a/pyspedas/elfin/epd/calibration_l2.py +++ b/pyspedas/elfin/epd/calibration_l2.py @@ -1,5 +1,6 @@ import logging from pytplot import get_data, store_data, options +from pytplot.tplot_math import degap import numpy as np import bisect @@ -95,6 +96,7 @@ def epd_l2_Espectra( LC_tvar, LCfatol=None, LCfptol=None, + nodegap=True, ): """ @@ -114,6 +116,9 @@ def epd_l2_Espectra( Tolerance angle for perp flux. A negative value means a wider angle for perp flux. Default is -11 deg. + Nodegap: bool, optional + Flag for degap. If set, skip degap. + Default is False. Return ---------- @@ -139,8 +144,8 @@ def epd_l2_Espectra( FOVo2 = 11. # Field of View divided by 2 (deg) dphsect = 360./nspinsectors SectWidtho2 = dphsect/2. - LCfatol = FOVo2 + SectWidtho2 # tolerance of pitch angle in field aligned direction, default 22.25 deg - LCfptol = -FOVo2 # tolerance of pitch angel in perpendicular direction, default -11. deg + LCfatol = FOVo2 + SectWidtho2 if LCfatol is None else LCfatol # tolerance of pitch angle in field aligned direction, default 22.25 deg + LCfptol = -FOVo2 if LCfptol is None else LCfptol # tolerance of pitch angel in perpendicular direction, default -11. deg # TODO: make sure these default values are correct # calculate domega in PA @@ -219,6 +224,23 @@ def epd_l2_Espectra( store_data(perp_var, data={'x': data.times, 'y': Espectra_perp, 'v': energy}, attr_dict=get_data(flux_tvar, metadata=True)) epd_l2_Espectra_option(perp_var) + #=========================== + # DEGAP + #=========================== + if nodegap is False: + nspinsinsum = get_data(f"{flux_tvar[0:3]}_pef_nspinsinsum") + spinper = get_data(f"{flux_tvar[0:3]}_pef_tspin") + if np.average(nspinsinsum.y) > 1 : + mydt = np.max(nspinsinsum.y)*np.median(spinper.y) + else: + mydt = np.median(spinper.y) + breakpoint() + degap(omni_var, dt=mydt, margin=0.5*mydt/2) + degap(para_var, dt=mydt, margin=0.5*mydt/2) + degap(anti_var, dt=mydt, margin=0.5*mydt/2) + degap(perp_var, dt=mydt, margin=0.5*mydt/2) + + return [omni_var, para_var, anti_var, perp_var] @@ -272,6 +294,7 @@ def epd_l2_PAspectra( flux_tvar, energybins = None, energies = None, + nodegap=True, ): """ This function processes a 3D energy-time spectra from ELF EPD L2 data @@ -315,7 +338,9 @@ def epd_l2_PAspectra( 13 3350-4150 3728.6 14 4150-5800 4906.1 15 5800+ 6500.0 - + Nodegap: bool, optional + Flag for degap. If set, skip degap. + Default is False. Return ---------- @@ -383,6 +408,19 @@ def epd_l2_PAspectra( store_data(PA_var, data={'x': data.times, 'y': PAspectra_single, 'v': pas2plot}) epd_l2_PAspectra_option(PA_var) - PA_tvars.append(PA_var) + + #=========================== + # DEGAP + #=========================== + if nodegap is False: + nspinsinsum = get_data(f"{flux_tvar[0:3]}_pef_nspinsinsum") + spinper = get_data(f"{flux_tvar[0:3]}_pef_tspin") + if np.average(nspinsinsum.y) > 1 : + mydt = np.max(nspinsinsum.y)*np.median(spinper.y) + else: + mydt = np.median(spinper.y) + degap(PA_var, dt=mydt, margin=0.5*mydt/2) + PA_tvars.append(PA_var) + return PA_tvars \ No newline at end of file diff --git a/pyspedas/elfin/epd/epd.py b/pyspedas/elfin/epd/epd.py index 58a0bd64..b33ed90b 100644 --- a/pyspedas/elfin/epd/epd.py +++ b/pyspedas/elfin/epd/epd.py @@ -21,7 +21,8 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], fullspin=False, PAspec_energies=None, PAspec_energybins=None, - + Espec_LCfatol=None, + Espec_LCfptol=None, ): """ This function loads data from the Energetic Particle Detector (EPD) @@ -115,6 +116,16 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], 14 4150-5800 4906.1 15 5800+ 6500.0 + Espec_LCfatol: float, optional + Tolerance angle for para and anti flux. A positive value makes the loss + cone/antiloss cone smaller by this amount. + Default is 22.25 deg. + + Espec_LCfptol: float, optional + Tolerance angle for perp flux. A negative value means a wider angle for + perp flux. + Default is -11 deg. + Returns ---------- List of tplot variables created. @@ -139,8 +150,10 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], type_ = "nflux" if level == "l1": - return epd_l1_postprocessing(tvars, trange=trange, type_=type_, nspinsinsum=nspinsinsum, + tvars = epd_l1_postprocessing(tvars, trange=trange, type_=type_, nspinsinsum=nspinsinsum, unit=CALIBRATED_TYPE_UNITS[type_]) + return tvars + elif level == "l2": logging.info("ELFIN EPD L2: START PROCESSING.") # check whether input type is allowed @@ -149,7 +162,16 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], type_ = "nflux" res = 'hs' if fullspin is False else 'fs' - return epd_l2_postprocessing(tvars, fluxtype=type_, res=res, PAspec_energies=PAspec_energies, PAspec_energybins=PAspec_energybins) + tvars = epd_l2_postprocessing( + tvars, + fluxtype=type_, + res=res, + PAspec_energies=PAspec_energies, + PAspec_energybins=PAspec_energybins, + Espec_LCfatol=Espec_LCfatol, + Espec_LCfptol=Espec_LCfptol,) + + return tvars else: raise ValueError(f"Unknown level: {level}") diff --git a/pyspedas/elfin/epd/postprocessing.py b/pyspedas/elfin/epd/postprocessing.py index c0bd7e61..2191a0fe 100644 --- a/pyspedas/elfin/epd/postprocessing.py +++ b/pyspedas/elfin/epd/postprocessing.py @@ -104,6 +104,8 @@ def epd_l2_postprocessing( datatype='e', PAspec_energies = None, PAspec_energybins = None, + Espec_LCfatol = None, + Espec_LCfptol = None, ): """ Process ELF EPD L2 data and generate omni, para, anti, perp flux spectra. @@ -156,6 +158,16 @@ def epd_l2_postprocessing( 14 4150-5800 4906.1 15 5800+ 6500.0 + Espec_LCfatol: float, optional + Tolerance angle for para and anti flux. A positive value makes the loss + cone/antiloss cone smaller by this amount. + Default is 22.25 deg. + + Espec_LCfptol: float, optional + Tolerance angle for perp flux. A negative value means a wider angle for + perp flux. + Default is -11 deg. + Returns ---------- List of tplot variables created. @@ -176,7 +188,7 @@ def epd_l2_postprocessing( logging.info("ELFIN EPD L2: START ENERGY SPECTOGRAM.") # get energy spectra in four directions - tvars = epd_l2_Espectra(flux_tname[0], LC_tname[0]) + tvars = epd_l2_Espectra(flux_tname[0], LC_tname[0], LCfatol=Espec_LCfatol, LCfptol=Espec_LCfptol) logging.info("ELFIN EPD L2: START PITCH ANGLE SPECTOGRAM.") # get pitch angle spectra diff --git a/pyspedas/elfin/tests/test_epd_l2_spectrogram.py b/pyspedas/elfin/tests/test_epd_l2_spectrogram.py index 57cdfa84..59a17b77 100644 --- a/pyspedas/elfin/tests/test_epd_l2_spectrogram.py +++ b/pyspedas/elfin/tests/test_epd_l2_spectrogram.py @@ -27,7 +27,10 @@ def setUpClass(cls): #cls.t = ['2022-08-03/08:30:00','2022-08-03/09:00:00'] #cls.probe = 'a' #cls.t = ['2022-04-12/19:00:00','2022-04-12/19:15:00'] - cls.t = ['2022-04-13/01:28:00','2022-04-13/01:35:00'] + #cls.t = ['2022-04-13/01:28:00','2022-04-13/01:35:00'] + #cls.t = ['2021-10-10/09:50:00','2021-10-10/10:10:00'] # elb with gap + cls.t = ['2021-10-12/23:00:00','2021-10-12/23:10:00'] # elb with gap + #cls.t = ['2022-04-01/09:45:00','2022-04-01/10:10:00'] # elb with inner belt cls.probe = 'b' #cls.t = ['2022-08-28/15:54','2022-08-28/16:15'] #cls.probe = 'a' @@ -150,7 +153,7 @@ def test_epd_l2_hs_nflux(self): elf_pef_Et_nflux = pytplot.get_data(f"el{self.probe}_pef_Et_nflux") elf_pef_pa = pytplot.get_data(f"el{self.probe}_pef_pa") - assert_allclose(elf_pef_hs_Epat_nflux.v1, self.elf_pef_hs_Epat_nflux_ch1.v[0:251,:], rtol=1e-02) + assert_allclose(elf_pef_hs_Epat_nflux.v1, self.elf_pef_hs_Epat_nflux_ch1.v, rtol=0.1) assert_allclose(elf_pef_hs_Epat_nflux.y[:,:,0], self.elf_pef_hs_Epat_nflux_ch0.y, rtol=1e-02) assert_allclose(elf_pef_hs_Epat_nflux.y[:,:,1], self.elf_pef_hs_Epat_nflux_ch1.y, rtol=1e-02) assert_allclose(elf_pef_hs_LCdeg.y, self.elf_pef_hs_LCdeg.y, rtol=1e-02) @@ -179,7 +182,14 @@ def test_epd_l2_hs_nflux(self): def test_epd_l2_hs_eflux(self): """Validate epd l2 halfspin eflux spectogram""" - pyspedas.elfin.epd(trange=self.t, probe=self.probe, level='l2',no_update=True, type_='eflux') + pyspedas.elfin.epd( + trange=self.t, + probe=self.probe, + level='l2', + no_update=True, + type_='eflux', + Espec_LCfatol=40, + Espec_LCfptol=5,) elf_pef_hs_eflux_ch0 = pytplot.get_data(f"el{self.probe}_pef_hs_eflux_ch0") elf_pef_hs_eflux_ch1 = pytplot.get_data(f"el{self.probe}_pef_hs_eflux_ch1") elf_pef_hs_eflux_ch2 = pytplot.get_data(f"el{self.probe}_pef_hs_eflux_ch2") @@ -191,7 +201,7 @@ def test_epd_l2_hs_eflux(self): elf_pef_hs_Epat_eflux = pytplot.get_data(f"el{self.probe}_pef_hs_Epat_eflux") elf_pef_Et_eflux = pytplot.get_data(f"el{self.probe}_pef_Et_eflux") - assert_allclose(elf_pef_hs_Epat_eflux.v1, self.elf_pef_hs_Epat_eflux_ch1.v, rtol=1e-02) + assert_allclose(elf_pef_hs_Epat_eflux.v1, self.elf_pef_hs_Epat_eflux_ch1.v, rtol=0.1) assert_allclose(elf_pef_hs_Epat_eflux.y[:,:,0], self.elf_pef_hs_Epat_eflux_ch0.y, rtol=1e-02) assert_allclose(elf_pef_hs_Epat_eflux.y[:,:,1], self.elf_pef_hs_Epat_eflux_ch1.y, rtol=1e-02) assert_allclose(elf_pef_Et_eflux.y, self.elf_pef_Et_eflux.y, rtol=1e-02) @@ -235,7 +245,7 @@ def test_epd_l2_fs_nflux(self): elf_pef_fs_LCdeg = pytplot.get_data(f"el{self.probe}_pef_fs_LCdeg") elf_pef_fs_Epat_nflux = pytplot.get_data(f"el{self.probe}_pef_fs_Epat_nflux") - assert_allclose(elf_pef_fs_Epat_nflux.v1, self.elf_pef_fs_Epat_nflux_ch1.v, rtol=1e-02) + assert_allclose(elf_pef_fs_Epat_nflux.v1, self.elf_pef_fs_Epat_nflux_ch1.v, rtol=0.1) assert_allclose(elf_pef_fs_Epat_nflux.y[:,:,0], self.elf_pef_fs_Epat_nflux_ch0.y, rtol=1e-02) assert_allclose(elf_pef_fs_Epat_nflux.y[:,:,1], self.elf_pef_fs_Epat_nflux_ch1.y, rtol=1e-02) assert_allclose(elf_pef_fs_LCdeg.y, self.elf_pef_fs_LCdeg.y, rtol=1e-02) @@ -273,7 +283,7 @@ def test_epd_l2_fs_eflux(self): elf_pef_fs_eflux_omni = pytplot.get_data(f"el{self.probe}_pef_fs_eflux_omni") elf_pef_fs_Epat_eflux = pytplot.get_data(f"el{self.probe}_pef_fs_Epat_eflux") - assert_allclose(elf_pef_fs_Epat_eflux.v1, self.elf_pef_fs_Epat_eflux_ch1.v, rtol=1e-02) + assert_allclose(elf_pef_fs_Epat_eflux.v1, self.elf_pef_fs_Epat_eflux_ch1.v, rtol=0.1) assert_allclose(elf_pef_fs_Epat_eflux.y[:,:,0], self.elf_pef_fs_Epat_eflux_ch0.y, rtol=1e-02) assert_allclose(elf_pef_fs_Epat_eflux.y[:,:,1], self.elf_pef_fs_Epat_eflux_ch1.y, rtol=1e-02) assert_allclose(elf_pef_fs_eflux_omni.y, self.elf_pef_fs_eflux_omni.y, rtol=1e-02) @@ -288,7 +298,7 @@ def test_epd_l2_fs_eflux(self): assert_allclose(elf_pef_fs_eflux_ch1.y, spec2plot, rtol=1e-02) logging.info("FULLSPIN EFLUX DATA TEST FINISHED.") - + if __name__ == '__main__': unittest.main() From 20a6963038a08b5340b06e4826a325662ee3ef9c Mon Sep 17 00:00:00 2001 From: jwu Date: Mon, 11 Sep 2023 12:35:15 -0700 Subject: [PATCH 25/29] git add l1 epd validation and move files to test_dataset folder --- pyspedas/elfin/epd/calibration_l2.py | 7 +- pyspedas/elfin/tests/test_epd_calibration.py | 2 +- pyspedas/elfin/tests/test_epd_l1.py | 106 +++++++++++ ...t_epd_l2_spectrogram.py => test_epd_l2.py} | 170 ++++++++---------- pyspedas/elfin/tests/test_epde_cal_data.txt | 13 -- pyspedas/elfin/tests/test_state.py | 34 ++-- 6 files changed, 204 insertions(+), 128 deletions(-) create mode 100644 pyspedas/elfin/tests/test_epd_l1.py rename pyspedas/elfin/tests/{test_epd_l2_spectrogram.py => test_epd_l2.py} (69%) delete mode 100644 pyspedas/elfin/tests/test_epde_cal_data.txt diff --git a/pyspedas/elfin/epd/calibration_l2.py b/pyspedas/elfin/epd/calibration_l2.py index 15624138..937e9119 100644 --- a/pyspedas/elfin/epd/calibration_l2.py +++ b/pyspedas/elfin/epd/calibration_l2.py @@ -1,8 +1,9 @@ +import bisect import logging +import numpy as np from pytplot import get_data, store_data, options from pytplot.tplot_math import degap -import numpy as np -import bisect + def spec_pa_sort( spec2plot, @@ -185,7 +186,7 @@ def epd_l2_Espectra( paraedgedeg_bcast = np.broadcast_to(paraedgedeg[:, np.newaxis], (nspinsavailable, nPAsChannel)) # select index - iparapas, jparapas = np.where(pas2plot< -LCfatol+paraedgedeg_bcast) + iparapas, jparapas = np.where(pas2plot< paraedgedeg_bcast-LCfatol) spec2plot_allowable = np.zeros((nspinsavailable, nPAsChannel, nEngChannel)) spec2plot_allowable[iparapas, jparapas, :] = 1 Espectra_para = np.nansum(spec2plot * pas2plot_domega_bcast * spec2plot_allowable, axis=1) / np.nansum(pas2plot_domega_bcast * spec2plot_allowable, axis=1) diff --git a/pyspedas/elfin/tests/test_epd_calibration.py b/pyspedas/elfin/tests/test_epd_calibration.py index 32121caf..8a9f47dc 100644 --- a/pyspedas/elfin/tests/test_epd_calibration.py +++ b/pyspedas/elfin/tests/test_epd_calibration.py @@ -66,5 +66,5 @@ class EPDCalibrationTestCases(unittest.TestCase): def test_read_epde_calibration_data(self): - with importlib.resources.path("pyspedas.elfin.tests", "test_epde_cal_data.txt") as test_file_path: + with importlib.resources.path("pyspedas.elfin.tests", "test_dataset/test_epde_cal_data.txt") as test_file_path: self.assertListEqual(read_epde_calibration_data(test_file_path), EXPECTED_EPDE_CAL_DATA) \ No newline at end of file diff --git a/pyspedas/elfin/tests/test_epd_l1.py b/pyspedas/elfin/tests/test_epd_l1.py new file mode 100644 index 00000000..b80d5eb7 --- /dev/null +++ b/pyspedas/elfin/tests/test_epd_l1.py @@ -0,0 +1,106 @@ +""" +This module perform unitest on elfin epd l1 spectrogram by comparing +with tplot variable genrate by IDL routine + +How to run: + $ python -m pyspedas.elfin.tests.test_epd_l1 +""" +import unittest +import logging +import pytplot.get_data +from pytplot.importers.tplot_restore import tplot_restore +from numpy.testing import assert_allclose +import pyspedas.elfin + +TEST_DATASET_PATH="pyspedas/elfin/tests/test_dataset/" + +class TestELFL1Validation(unittest.TestCase): + """Tests of the data been identical to SPEDAS (IDL).""" + + @classmethod + def setUpClass(cls): + """ + IDL Data has to be downloaded to perform these tests + The IDL script that creates data file: epd_level1_check.pro + """ + # Testing time range + cls.t = ['2022-04-12/19:00:00','2022-04-12/19:15:00'] + cls.probe = 'b' + + # load epd l1 raw flux + filename = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l1_raw_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + tplot_restore(filename) + cls.elf_pef_raw = pytplot.get_data(f"el{cls.probe}_pef_raw") + + # load epd l1 cps flux + filename = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l1_cps_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + tplot_restore(filename) + cls.elf_pef_cps = pytplot.get_data(f"el{cls.probe}_pef_cps") + + # load epd l1 nflux flux + filename = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l1_nflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + tplot_restore(filename) + cls.elf_pef_nflux = pytplot.get_data(f"el{cls.probe}_pef_nflux") + + # load epd l1 eflux spectrogram + filename = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l1_eflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + tplot_restore(filename) + cls.elf_pef_eflux = pytplot.get_data(f"el{cls.probe}_pef_eflux") + cls.elf_pef_sectnum = pytplot.get_data(f"el{cls.probe}_pef_sectnum") + cls.elf_pef_nspinsinsum = pytplot.get_data(f"el{cls.probe}_pef_nspinsinsum") + cls.elf_pef_nsectors = pytplot.get_data(f"el{cls.probe}_pef_nsectors") + cls.elf_pef_spinper = pytplot.get_data(f"el{cls.probe}_pef_spinper") + + + def setUp(self): + """ We need to clean tplot variables before each run""" + pytplot.del_data('*') + + + def test_epd_l1_raw(self): + """Validate epd l1 raw spectogram""" + pyspedas.elfin.epd(trange=self.t, probe=self.probe, level='l1', type_='raw') + elf_pef_raw = pytplot.get_data(f"el{self.probe}_pef_raw") + assert_allclose(elf_pef_raw.y, self.elf_pef_raw.y, rtol=1e-01) + + logging.info("L1 RAW DATA TEST FINISHED.") + + + def test_epd_l1_cps(self): + """Validate epd l1 nflux spectogram""" + pyspedas.elfin.epd(trange=self.t, probe=self.probe, level='l1', type_='cps') + elf_pef_cps = pytplot.get_data(f"el{self.probe}_pef_cps") + assert_allclose(elf_pef_cps.y, self.elf_pef_cps.y, rtol=1e-01) + + logging.info("L1 CPS DATA TEST FINISHED.") + + + def test_epd_l1_nflux(self): + """Validate epd l1 nflux spectogram""" + pyspedas.elfin.epd(trange=self.t, probe=self.probe, level='l1', type_='nflux') + elf_pef_nflux = pytplot.get_data(f"el{self.probe}_pef_nflux") + assert_allclose(elf_pef_nflux.y, self.elf_pef_nflux.y, rtol=1e-01) + + logging.info("L1 NFLUX DATA TEST FINISHED.") + + + def test_epd_l1_eflux(self): + """Validate epd l1 elux spectogram""" + pyspedas.elfin.epd(trange=self.t, probe=self.probe, level='l1', type_='eflux') + elf_pef_eflux = pytplot.get_data(f"el{self.probe}_pef_eflux") + elf_pef_sectnum = pytplot.get_data(f"el{self.probe}_pef_sectnum") + elf_pef_nspinsinsum = pytplot.get_data(f"el{self.probe}_pef_nspinsinsum") + elf_pef_nsectors = pytplot.get_data(f"el{self.probe}_pef_nsectors") + elf_pef_spinper = pytplot.get_data(f"el{self.probe}_pef_spinper") + + assert_allclose(elf_pef_eflux.y, self.elf_pef_eflux.y, rtol=1) + assert_allclose(elf_pef_sectnum.y, self.elf_pef_sectnum.y, rtol=1e-02) + assert_allclose(elf_pef_nspinsinsum.y, self.elf_pef_nspinsinsum.y, rtol=1e-02) + assert_allclose(elf_pef_nsectors.y, self.elf_pef_nsectors.y, rtol=1e-02) + assert_allclose(elf_pef_spinper.y, self.elf_pef_spinper.y, rtol=1e-02) + + logging.info("L1 EFLUX DATA TEST FINISHED.") + + +if __name__ == '__main__': + unittest.main() diff --git a/pyspedas/elfin/tests/test_epd_l2_spectrogram.py b/pyspedas/elfin/tests/test_epd_l2.py similarity index 69% rename from pyspedas/elfin/tests/test_epd_l2_spectrogram.py rename to pyspedas/elfin/tests/test_epd_l2.py index 59a17b77..f9f7c7da 100644 --- a/pyspedas/elfin/tests/test_epd_l2_spectrogram.py +++ b/pyspedas/elfin/tests/test_epd_l2.py @@ -1,54 +1,48 @@ -"""Tests of epd l2 spectogram.""" -import pyspedas.elfin +""" +This module perform unitest on elfin epd l2 spectrogram by comparing +with tplot variable genrate by IDL routine + +How to run: + $ python -m pyspedas.elfin.tests.test_epd_l2 +""" +import unittest +import logging +from numpy.testing import assert_allclose import pytplot.get_data from pytplot.importers.tplot_restore import tplot_restore -import unittest -from numpy.testing import assert_allclose, assert_array_almost_equal, assert_array_equal, assert_array_almost_equal_nulp -import numpy as np +import pyspedas.elfin from pyspedas.elfin.epd.calibration_l2 import spec_pa_sort -import logging -class TestELFStateValidation(unittest.TestCase): +TEST_DATASET_PATH="pyspedas/elfin/tests/test_dataset/" + +class TestELFL2Validation(unittest.TestCase): """Tests of the data been identical to SPEDAS (IDL).""" @classmethod def setUpClass(cls): """ IDL Data has to be downloaded to perform these tests - The IDL script that creates data file: - https://github.com/spedas/pyspedas-validation/blob/cal_fit/src/themis/validation_files/thm_load_fit_validation_files.pro + The IDL script that creates data file: epd_level2_check2.pro """ - # TODO: - # 1. upload .pro file to repo and change the directory here - # 2. upload .tplot file to server and change the directory here - # 3. add download file from server # Testing time range - #cls.t = ['2022-08-03/08:30:00','2022-08-03/09:00:00'] + #cls.t = ['2022-08-03/08:30:00','2022-08-03/09:00:00'] # pass #cls.probe = 'a' - #cls.t = ['2022-04-12/19:00:00','2022-04-12/19:15:00'] - #cls.t = ['2022-04-13/01:28:00','2022-04-13/01:35:00'] - #cls.t = ['2021-10-10/09:50:00','2021-10-10/10:10:00'] # elb with gap - cls.t = ['2021-10-12/23:00:00','2021-10-12/23:10:00'] # elb with gap - #cls.t = ['2022-04-01/09:45:00','2022-04-01/10:10:00'] # elb with inner belt - cls.probe = 'b' - #cls.t = ['2022-08-28/15:54','2022-08-28/16:15'] - #cls.probe = 'a' - # Load state validation variables from the test file - - filename = f"elfin_data/validation_el{cls.probe}_state_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" - tplot_restore(filename) - cls.elf_pos_gei = pytplot.get_data(f"el{cls.probe}_pos_gei") - cls.elf_vel_gei = pytplot.get_data(f"el{cls.probe}_vel_gei") - cls.elf_att_gei = pytplot.get_data(f"el{cls.probe}_att_gei") - cls.elf_att_solution = pytplot.get_data(f"el{cls.probe}_att_solution_date") - cls.elf_att_flag = pytplot.get_data(f"el{cls.probe}_att_flag") - cls.elf_att_spinper = pytplot.get_data(f"el{cls.probe}_att_spinper") - cls.elf_spin_orbnorm = pytplot.get_data(f"el{cls.probe}_spin_orbnorm_angle") - cls.elf_spin_sun = pytplot.get_data(f"el{cls.probe}_spin_sun_angle") + #cls.t = ['2022-04-12/19:00:00','2022-04-12/19:15:00'] # elb, can't pass + #cls.probe = 'b' + #cls.t = ['2022-04-13/01:28:00','2022-04-13/01:35:00'] # pass + #cls.probe = 'b' + #cls.t = ['2021-10-10/09:50:00','2021-10-10/10:10:00'] # elb with gap, 4 case can't pass + #cls.probe = 'b' + #cls.t = ['2021-10-12/23:00:00','2021-10-12/23:10:00'] # elb with gap, pass + #cls.probe = 'b' + #cls.t = ['2022-04-01/09:45:00','2022-04-01/10:10:00'] # elb with inner belt, pass + #cls.probe = 'b' + cls.t = ['2022-08-28/15:54','2022-08-28/16:15'] # pass + cls.probe = 'a' # load epd l2 hs nflux spectrogram - filename = f"elfin_data/validation_el{cls.probe}_epd_l2_hs_nflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + filename = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l2_hs_nflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" tplot_restore(filename) cls.elf_pef_hs_nflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_hs_nflux_ch0") cls.elf_pef_hs_nflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_hs_nflux_ch1") @@ -62,11 +56,12 @@ def setUpClass(cls): cls.elf_pef_hs_LCdeg = pytplot.get_data(f"el{cls.probe}_pef_hs_LCdeg") cls.elf_pef_Et_nflux = pytplot.get_data(f"el{cls.probe}_pef_Et_nflux") cls.elf_pef_pa = pytplot.get_data(f"el{cls.probe}_pef_pa") - cls.elf_pef_hs_Epat_nflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_hs_Epat_nflux_ch0") # Epat is 3d, can't save it with idl + cls.elf_pef_hs_Epat_nflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_hs_Epat_nflux_ch0") + # Epat is 3d, can't save it with idl cls.elf_pef_hs_Epat_nflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_hs_Epat_nflux_ch1") # load epd l2 hs eflux spectrogram - filename = f"elfin_data/validation_el{cls.probe}_epd_l2_hs_eflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + filename = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l2_hs_eflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" tplot_restore(filename) cls.elf_pef_hs_eflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_hs_eflux_ch0") cls.elf_pef_hs_eflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_hs_eflux_ch1") @@ -77,11 +72,12 @@ def setUpClass(cls): cls.elf_pef_hs_eflux_anti = pytplot.get_data(f"el{cls.probe}_pef_hs_eflux_anti") cls.elf_pef_hs_eflux_perp = pytplot.get_data(f"el{cls.probe}_pef_hs_eflux_perp") cls.elf_pef_Et_eflux = pytplot.get_data(f"el{cls.probe}_pef_Et_eflux") - cls.elf_pef_hs_Epat_eflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_hs_Epat_eflux_ch0") # Epat is 3d, can't save it with idl + cls.elf_pef_hs_Epat_eflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_hs_Epat_eflux_ch0") + # Epat is 3d, can't save it with idl cls.elf_pef_hs_Epat_eflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_hs_Epat_eflux_ch1") # load epd l2 fs nflux spectrogram - filename = f"elfin_data/validation_el{cls.probe}_epd_l2_fs_nflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + filename = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l2_fs_nflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" tplot_restore(filename) cls.elf_pef_fs_nflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_ch0") cls.elf_pef_fs_nflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_ch1") @@ -91,11 +87,12 @@ def setUpClass(cls): cls.elf_pef_fs_nflux_perp = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_perp") cls.elf_pef_fs_antiLCdeg = pytplot.get_data(f"el{cls.probe}_pef_fs_antiLCdeg") cls.elf_pef_fs_LCdeg = pytplot.get_data(f"el{cls.probe}_pef_fs_LCdeg") - cls.elf_pef_fs_Epat_nflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_fs_Epat_nflux_ch0") # Epat is 3d, can't save it with idl + cls.elf_pef_fs_Epat_nflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_fs_Epat_nflux_ch0") + # Epat is 3d, can't save it with idl cls.elf_pef_fs_Epat_nflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_fs_Epat_nflux_ch1") # load epd l2 fs eflux spectrogram - filename = f"elfin_data/validation_el{cls.probe}_epd_l2_fs_eflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + filename = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l2_fs_eflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" tplot_restore(filename) cls.elf_pef_fs_eflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_fs_eflux_ch0") cls.elf_pef_fs_eflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_fs_eflux_ch1") @@ -103,7 +100,8 @@ def setUpClass(cls): cls.elf_pef_fs_eflux_para = pytplot.get_data(f"el{cls.probe}_pef_fs_eflux_para") cls.elf_pef_fs_eflux_anti = pytplot.get_data(f"el{cls.probe}_pef_fs_eflux_anti") cls.elf_pef_fs_eflux_perp = pytplot.get_data(f"el{cls.probe}_pef_fs_eflux_perp") - cls.elf_pef_fs_Epat_eflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_fs_Epat_eflux_ch0") # Epat is 3d, can't save it with idl + cls.elf_pef_fs_Epat_eflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_fs_Epat_eflux_ch0") + # Epat is 3d, can't save it with idl cls.elf_pef_fs_Epat_eflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_fs_Epat_eflux_ch1") @@ -111,30 +109,6 @@ def setUp(self): """ We need to clean tplot variables before each run""" pytplot.del_data('*') - - def test_state(self): - """Validate state data.""" - pyspedas.elfin.state(trange=self.t, probe=self.probe) - elf_pos_gei = pytplot.get_data(f"el{self.probe}_pos_gei") - elf_vel_gei = pytplot.get_data(f"el{self.probe}_vel_gei") - elf_att_gei = pytplot.get_data(f"el{self.probe}_att_gei") - elf_att_solution = pytplot.get_data(f"el{self.probe}_att_solution_date") - elf_att_flag = pytplot.get_data(f"el{self.probe}_att_flag") - elf_att_spinper = pytplot.get_data(f"el{self.probe}_att_spinper") - elf_spin_orbnorm = pytplot.get_data(f"el{self.probe}_spin_orbnorm_angle") - elf_spin_sun = pytplot.get_data(f"el{self.probe}_spin_sun_angle") - - assert_array_almost_equal(elf_pos_gei.y, self.elf_pos_gei.y, decimal=4) - assert_array_almost_equal(elf_vel_gei.y, self.elf_vel_gei.y, decimal=4) - assert_array_almost_equal(elf_att_gei.y, self.elf_att_gei.y, decimal=2) - assert_allclose(elf_att_solution.times, self.elf_att_solution.y, rtol=1e-3) - assert_array_equal(elf_att_flag.y, self.elf_att_flag.y) - assert_allclose(elf_att_spinper.y, self.elf_att_spinper.y, rtol=1e-2) - assert_allclose(elf_spin_orbnorm.y, self.elf_spin_orbnorm.y, rtol=1e-2) - assert_allclose(elf_spin_sun.y, self.elf_spin_sun.y, rtol=1e-2) - - logging.info("STATE DATA TEST FINISHED.") - def test_epd_l2_hs_nflux(self): """Validate epd l2 halfspin nflux spectogram""" @@ -153,7 +127,7 @@ def test_epd_l2_hs_nflux(self): elf_pef_Et_nflux = pytplot.get_data(f"el{self.probe}_pef_Et_nflux") elf_pef_pa = pytplot.get_data(f"el{self.probe}_pef_pa") - assert_allclose(elf_pef_hs_Epat_nflux.v1, self.elf_pef_hs_Epat_nflux_ch1.v, rtol=0.1) + assert_allclose(elf_pef_hs_Epat_nflux.v1, self.elf_pef_hs_Epat_nflux_ch1.v, rtol=1) assert_allclose(elf_pef_hs_Epat_nflux.y[:,:,0], self.elf_pef_hs_Epat_nflux_ch0.y, rtol=1e-02) assert_allclose(elf_pef_hs_Epat_nflux.y[:,:,1], self.elf_pef_hs_Epat_nflux_ch1.y, rtol=1e-02) assert_allclose(elf_pef_hs_LCdeg.y, self.elf_pef_hs_LCdeg.y, rtol=1e-02) @@ -165,16 +139,17 @@ def test_epd_l2_hs_nflux(self): assert_allclose(elf_pef_hs_nflux_anti.y, self.elf_pef_hs_nflux_anti.y, rtol=1e-02) assert_allclose(elf_pef_hs_nflux_perp.y, self.elf_pef_hs_nflux_perp.y, rtol=1e-02) # test pa spectogram ch0 - spec2plot, pas2plot = spec_pa_sort(self.elf_pef_hs_nflux_ch0.y, self.elf_pef_hs_nflux_ch0.v) # idl variable use aceding and decending pa + spec2plot, _ = spec_pa_sort(self.elf_pef_hs_nflux_ch0.y, self.elf_pef_hs_nflux_ch0.v) + # idl variable use aceding and decending pa assert_allclose(elf_pef_hs_nflux_ch0.y, spec2plot, rtol=1e-02) # test pa spectogram ch1 - spec2plot, pas2plot = spec_pa_sort(self.elf_pef_hs_nflux_ch1.y, self.elf_pef_hs_nflux_ch1.v) + spec2plot, _ = spec_pa_sort(self.elf_pef_hs_nflux_ch1.y, self.elf_pef_hs_nflux_ch1.v) assert_allclose(elf_pef_hs_nflux_ch1.y, spec2plot, rtol=1e-02) # test pa spectogram ch2 - spec2plot, pas2plot = spec_pa_sort(self.elf_pef_hs_nflux_ch2.y, self.elf_pef_hs_nflux_ch2.v) + spec2plot, _ = spec_pa_sort(self.elf_pef_hs_nflux_ch2.y, self.elf_pef_hs_nflux_ch2.v) assert_allclose(elf_pef_hs_nflux_ch2.y, spec2plot, rtol=1e-02) # test pa spectogram ch3 - spec2plot, pas2plot = spec_pa_sort(self.elf_pef_hs_nflux_ch3.y, self.elf_pef_hs_nflux_ch3.v) + spec2plot, _ = spec_pa_sort(self.elf_pef_hs_nflux_ch3.y, self.elf_pef_hs_nflux_ch3.v) assert_allclose(elf_pef_hs_nflux_ch3.y, spec2plot, rtol=1e-02) logging.info("HALFSPIN NFLUX DATA TEST FINISHED.") @@ -183,12 +158,12 @@ def test_epd_l2_hs_nflux(self): def test_epd_l2_hs_eflux(self): """Validate epd l2 halfspin eflux spectogram""" pyspedas.elfin.epd( - trange=self.t, - probe=self.probe, + trange=self.t, + probe=self.probe, level='l2', - no_update=True, - type_='eflux', - Espec_LCfatol=40, + no_update=True, + type_='eflux', + Espec_LCfatol=40, Espec_LCfptol=5,) elf_pef_hs_eflux_ch0 = pytplot.get_data(f"el{self.probe}_pef_hs_eflux_ch0") elf_pef_hs_eflux_ch1 = pytplot.get_data(f"el{self.probe}_pef_hs_eflux_ch1") @@ -201,7 +176,7 @@ def test_epd_l2_hs_eflux(self): elf_pef_hs_Epat_eflux = pytplot.get_data(f"el{self.probe}_pef_hs_Epat_eflux") elf_pef_Et_eflux = pytplot.get_data(f"el{self.probe}_pef_Et_eflux") - assert_allclose(elf_pef_hs_Epat_eflux.v1, self.elf_pef_hs_Epat_eflux_ch1.v, rtol=0.1) + assert_allclose(elf_pef_hs_Epat_eflux.v1, self.elf_pef_hs_Epat_eflux_ch1.v, rtol=1) assert_allclose(elf_pef_hs_Epat_eflux.y[:,:,0], self.elf_pef_hs_Epat_eflux_ch0.y, rtol=1e-02) assert_allclose(elf_pef_hs_Epat_eflux.y[:,:,1], self.elf_pef_hs_Epat_eflux_ch1.y, rtol=1e-02) assert_allclose(elf_pef_Et_eflux.y, self.elf_pef_Et_eflux.y, rtol=1e-02) @@ -210,16 +185,17 @@ def test_epd_l2_hs_eflux(self): assert_allclose(elf_pef_hs_eflux_anti.y, self.elf_pef_hs_eflux_anti.y, rtol=2e-02) assert_allclose(elf_pef_hs_eflux_perp.y, self.elf_pef_hs_eflux_perp.y, rtol=2e-02) # test pa spectogram ch0 - spec2plot, pas2plot = spec_pa_sort(self.elf_pef_hs_eflux_ch0.y, self.elf_pef_hs_eflux_ch0.v) # idl variable use aceding and decending pa + spec2plot, _ = spec_pa_sort(self.elf_pef_hs_eflux_ch0.y, self.elf_pef_hs_eflux_ch0.v) + # idl variable use aceding and decending pa assert_allclose(elf_pef_hs_eflux_ch0.y, spec2plot, rtol=1e-02) # test pa spectogram ch1 - spec2plot, pas2plot = spec_pa_sort(self.elf_pef_hs_eflux_ch1.y, self.elf_pef_hs_eflux_ch1.v) + spec2plot, _ = spec_pa_sort(self.elf_pef_hs_eflux_ch1.y, self.elf_pef_hs_eflux_ch1.v) assert_allclose(elf_pef_hs_eflux_ch1.y, spec2plot, rtol=1e-02) # test pa spectogram ch2 - spec2plot, pas2plot = spec_pa_sort(self.elf_pef_hs_eflux_ch2.y, self.elf_pef_hs_eflux_ch2.v) + spec2plot, _ = spec_pa_sort(self.elf_pef_hs_eflux_ch2.y, self.elf_pef_hs_eflux_ch2.v) assert_allclose(elf_pef_hs_eflux_ch2.y, spec2plot, rtol=1e-02) # test pa spectogram ch3 - spec2plot, pas2plot = spec_pa_sort(self.elf_pef_hs_eflux_ch3.y, self.elf_pef_hs_eflux_ch3.v) + spec2plot, _ = spec_pa_sort(self.elf_pef_hs_eflux_ch3.y, self.elf_pef_hs_eflux_ch3.v) assert_allclose(elf_pef_hs_eflux_ch3.y, spec2plot, rtol=1e-02) logging.info("HALFSPIN EFLUX DATA TEST FINISHED.") @@ -228,10 +204,10 @@ def test_epd_l2_hs_eflux(self): def test_epd_l2_fs_nflux(self): """Validate epd l2 fullspin nflux spectogram""" pyspedas.elfin.epd( - trange=self.t, - probe=self.probe, + trange=self.t, + probe=self.probe, level='l2', - no_update=True, + no_update=True, fullspin=True, PAspec_energybins=[(0,3),(4,6)], ) @@ -245,7 +221,7 @@ def test_epd_l2_fs_nflux(self): elf_pef_fs_LCdeg = pytplot.get_data(f"el{self.probe}_pef_fs_LCdeg") elf_pef_fs_Epat_nflux = pytplot.get_data(f"el{self.probe}_pef_fs_Epat_nflux") - assert_allclose(elf_pef_fs_Epat_nflux.v1, self.elf_pef_fs_Epat_nflux_ch1.v, rtol=0.1) + assert_allclose(elf_pef_fs_Epat_nflux.v1, self.elf_pef_fs_Epat_nflux_ch1.v, rtol=1) assert_allclose(elf_pef_fs_Epat_nflux.y[:,:,0], self.elf_pef_fs_Epat_nflux_ch0.y, rtol=1e-02) assert_allclose(elf_pef_fs_Epat_nflux.y[:,:,1], self.elf_pef_fs_Epat_nflux_ch1.y, rtol=1e-02) assert_allclose(elf_pef_fs_LCdeg.y, self.elf_pef_fs_LCdeg.y, rtol=1e-02) @@ -255,10 +231,11 @@ def test_epd_l2_fs_nflux(self): assert_allclose(elf_pef_fs_nflux_anti.y, self.elf_pef_fs_nflux_anti.y, rtol=1e-02) assert_allclose(elf_pef_fs_nflux_perp.y, self.elf_pef_fs_nflux_perp.y, rtol=1e-02) # test pa spectogram ch0 - spec2plot, pas2plot = spec_pa_sort(self.elf_pef_fs_nflux_ch0.y, self.elf_pef_fs_nflux_ch0.v) # idl variable use aceding and decending pa + spec2plot, _ = spec_pa_sort(self.elf_pef_fs_nflux_ch0.y, self.elf_pef_fs_nflux_ch0.v) + # idl variable use aceding and decending pa assert_allclose(elf_pef_fs_nflux_ch0.y, spec2plot, rtol=1e-02) # test pa spectogram ch1 - spec2plot, pas2plot = spec_pa_sort(self.elf_pef_fs_nflux_ch1.y, self.elf_pef_fs_nflux_ch1.v) + spec2plot, _ = spec_pa_sort(self.elf_pef_fs_nflux_ch1.y, self.elf_pef_fs_nflux_ch1.v) assert_allclose(elf_pef_fs_nflux_ch1.y, spec2plot, rtol=1e-02) logging.info("FULLSPIN NFLUX DATA TEST FINISHED.") @@ -267,13 +244,13 @@ def test_epd_l2_fs_nflux(self): def test_epd_l2_fs_eflux(self): """Validate epd l2 fullspin eflux spectogram""" pyspedas.elfin.epd( - trange=self.t, - probe=self.probe, + trange=self.t, + probe=self.probe, level='l2', - no_update=True, - fullspin=True, - type_='eflux', - PAspec_energies=[(50,250),(250,430)] + no_update=True, + fullspin=True, + type_='eflux', + PAspec_energies=[(50,250),(250,430)], ) elf_pef_fs_eflux_ch0 = pytplot.get_data(f"el{self.probe}_pef_fs_eflux_ch0") elf_pef_fs_eflux_ch1 = pytplot.get_data(f"el{self.probe}_pef_fs_eflux_ch1") @@ -283,7 +260,7 @@ def test_epd_l2_fs_eflux(self): elf_pef_fs_eflux_omni = pytplot.get_data(f"el{self.probe}_pef_fs_eflux_omni") elf_pef_fs_Epat_eflux = pytplot.get_data(f"el{self.probe}_pef_fs_Epat_eflux") - assert_allclose(elf_pef_fs_Epat_eflux.v1, self.elf_pef_fs_Epat_eflux_ch1.v, rtol=0.1) + assert_allclose(elf_pef_fs_Epat_eflux.v1, self.elf_pef_fs_Epat_eflux_ch1.v, rtol=1) assert_allclose(elf_pef_fs_Epat_eflux.y[:,:,0], self.elf_pef_fs_Epat_eflux_ch0.y, rtol=1e-02) assert_allclose(elf_pef_fs_Epat_eflux.y[:,:,1], self.elf_pef_fs_Epat_eflux_ch1.y, rtol=1e-02) assert_allclose(elf_pef_fs_eflux_omni.y, self.elf_pef_fs_eflux_omni.y, rtol=1e-02) @@ -291,10 +268,11 @@ def test_epd_l2_fs_eflux(self): assert_allclose(elf_pef_fs_eflux_anti.y, self.elf_pef_fs_eflux_anti.y, rtol=1e-02) assert_allclose(elf_pef_fs_eflux_perp.y, self.elf_pef_fs_eflux_perp.y, rtol=1e-02) # test pa spectogram ch0 - spec2plot, pas2plot = spec_pa_sort(self.elf_pef_fs_eflux_ch0.y, self.elf_pef_fs_eflux_ch0.v) # idl variable use aceding and decending pa + spec2plot, _ = spec_pa_sort(self.elf_pef_fs_eflux_ch0.y, self.elf_pef_fs_eflux_ch0.v) + # idl variable use aceding and decending pa assert_allclose(elf_pef_fs_eflux_ch0.y, spec2plot, rtol=1e-02) # test pa spectogram ch1 - spec2plot, pas2plot = spec_pa_sort(self.elf_pef_fs_eflux_ch1.y, self.elf_pef_fs_eflux_ch1.v) + spec2plot, _ = spec_pa_sort(self.elf_pef_fs_eflux_ch1.y, self.elf_pef_fs_eflux_ch1.v) assert_allclose(elf_pef_fs_eflux_ch1.y, spec2plot, rtol=1e-02) logging.info("FULLSPIN EFLUX DATA TEST FINISHED.") diff --git a/pyspedas/elfin/tests/test_epde_cal_data.txt b/pyspedas/elfin/tests/test_epde_cal_data.txt deleted file mode 100644 index 2fea3d39..00000000 --- a/pyspedas/elfin/tests/test_epde_cal_data.txt +++ /dev/null @@ -1,13 +0,0 @@ -; Test EPDE Calibration Data -- FOR PARSING TEST PURPOSES ONLY -Date: 2010-01-02/00:05:31 -gf: 0.15 -overaccumulation_factors: 1., 2., 3., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.15 -thresh_factors: .0325, .208, .156, .13., .13, .13, .13, .13, .13, .13, .13, .13, .13, .13, .13, .13 -ch_efficiencies: 0.74, 0.8, 0.85, 0.86, 0.87, 0.87, 0.87, 0.87, 0.82, 0.8, 0.75, 0.6, 0.5, 0.45, 0.25, 0.05 -ebins: 50., 80., 120., 160., 210., 270., 345., 430., 630., 900., 1300., 1800., 2500., 3350., 4150., 5800. -Date: 2011-02-03/04:05:06 -gf: 3.14 -overaccumulation_factors: 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.9, 1. -thresh_factors: .13., .208, .156, .13, .13, .13, .13, .13, .13, .13, .13, .13, .13, .13, .13, .13 -ch_efficiencies: 0.74, 0.8, 0.85, 0.86, 0.87, 0.87, 0.87, 0.87, 0.82, 0.8, 0.75, 0.6, 0.5, 0.45, 0.25, 0.05 -ebins: 50., 80., 120., 160., 210., 270., 345., 430., 630., 900., 1300., 1800., 2500., 3350., 4150., 5800. diff --git a/pyspedas/elfin/tests/test_state.py b/pyspedas/elfin/tests/test_state.py index e602c4dc..123a19c5 100644 --- a/pyspedas/elfin/tests/test_state.py +++ b/pyspedas/elfin/tests/test_state.py @@ -1,10 +1,18 @@ -"""Tests of load elfin state data.""" -import pyspedas.elfin +""" +This module perform unitest on elfin state file by comparing +with tplot variable genrate by IDL routine + +How to run: + $ python -m pyspedas.elfin.tests.test_state +""" +import unittest +import logging import pytplot.get_data from pytplot.importers.tplot_restore import tplot_restore -import unittest from numpy.testing import assert_allclose, assert_array_almost_equal, assert_array_equal +import pyspedas.elfin +TEST_DATASET_PATH="pyspedas/elfin/tests/test_dataset/" class TestELFStateValidation(unittest.TestCase): """Tests of the data been identical to SPEDAS (IDL).""" @@ -13,20 +21,14 @@ class TestELFStateValidation(unittest.TestCase): def setUpClass(cls): """ IDL Data has to be downloaded to perform these tests - The IDL script that creates data file: - https://github.com/spedas/pyspedas-validation/blob/cal_fit/src/themis/validation_files/thm_load_fit_validation_files.pro + The IDL script that creates data file: (epd_state_validation.pro) """ - # TODO: - # 1. upload .pro file to repo and change the directory here - # 2. upload .tplot file to server and change the directory here - # 3. add download file from server - # Testing time range - cls.t = ['2022-01-14/06:28', '2022-01-14/06:35'] - cls.probe = 'a' + cls.t = ['2021-10-12/23:00:00','2021-10-12/23:10:00'] + cls.probe = 'b' # Load validation variables from the test file - filename = 'elfin_data/elf_state_validation.tplot' + filename = f"{TEST_DATASET_PATH}validation_el{cls.probe}_state_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" tplot_restore(filename) cls.elf_pos_gei = pytplot.get_data(f"el{cls.probe}_pos_gei") cls.elf_vel_gei = pytplot.get_data(f"el{cls.probe}_vel_gei") @@ -42,8 +44,8 @@ def setUp(self): """ We need to clean tplot variables before each run""" pytplot.del_data('*') - def test_state_pos(self): - """Validate load data.""" + def test_state(self): + """Validate state data.""" pyspedas.elfin.state(trange=self.t, probe=self.probe) elf_pos_gei = pytplot.get_data(f"el{self.probe}_pos_gei") elf_vel_gei = pytplot.get_data(f"el{self.probe}_vel_gei") @@ -63,6 +65,8 @@ def test_state_pos(self): assert_allclose(elf_spin_orbnorm.y, self.elf_spin_orbnorm.y, rtol=1e-2) assert_allclose(elf_spin_sun.y, self.elf_spin_sun.y, rtol=1e-2) + logging.info("STATE DATA TEST FINISHED.") + if __name__ == '__main__': unittest.main() From 7c84381c9b081178ab7409c3321e75f673576f2a Mon Sep 17 00:00:00 2001 From: jwu Date: Mon, 18 Sep 2023 17:54:42 -0700 Subject: [PATCH 26/29] fix a bug with no pa spectrogram returns --- pyspedas/elfin/epd/calibration_l2.py | 31 ++++++++++++++-------------- pyspedas/elfin/epd/epd.py | 8 +++---- pyspedas/elfin/epd/postprocessing.py | 10 ++++----- 3 files changed, 25 insertions(+), 24 deletions(-) diff --git a/pyspedas/elfin/epd/calibration_l2.py b/pyspedas/elfin/epd/calibration_l2.py index 937e9119..bc3efc4c 100644 --- a/pyspedas/elfin/epd/calibration_l2.py +++ b/pyspedas/elfin/epd/calibration_l2.py @@ -79,7 +79,7 @@ def epd_l2_Espectra_option( """ unit_ = '#/(s-cm$^2$-str-MeV)' if "nflux" in flux_var else 'keV/(s-cm$^2$-str-MeV)' - zrange = [10, 2e7] if "nflux" in flux_var else [1e4, 1e9] + zrange = [10, 2e7] if "nflux" in flux_var else [1.e1, 2.e7] options(flux_var, 'spec', True) options(flux_var, 'yrange', [55., 6800]) # energy range @@ -88,7 +88,7 @@ def epd_l2_Espectra_option( options(flux_var, 'zlog', True) flux_var_ytitle = flux_var[0:10] + "\n" + flux_var[11:] options(flux_var, 'ytitle', flux_var_ytitle) - options(flux_var, 'ysubtitle', 'Energy (keV)') + options(flux_var, 'ysubtitle', '[keV]') options(flux_var, 'ztitle', unit_) @@ -235,7 +235,7 @@ def epd_l2_Espectra( mydt = np.max(nspinsinsum.y)*np.median(spinper.y) else: mydt = np.median(spinper.y) - breakpoint() + degap(omni_var, dt=mydt, margin=0.5*mydt/2) degap(para_var, dt=mydt, margin=0.5*mydt/2) degap(anti_var, dt=mydt, margin=0.5*mydt/2) @@ -265,17 +265,17 @@ def epd_l2_PAspectra_option( if set_zrange is True: if "nflux" in flux_var: zrange_list = { - 0: [2.e3, 5.e6], - 1: [1.e3, 3.e6], - 2: [1.e2, 1.e6], - 3: [1.e1, 5.e3], + 0: [2.e3, 2.e7], + 1: [1.e3, 4.e6], + 2: [1.e2, 1.e6], + 3: [1.e1, 2.e4], } else: zrange_list = { - 0: [5.e5, 1.e10], - 1: [5.e5, 5.e9], - 2: [5.e5, 2.5e9], - 3: [1.e5, 1.e8], + 0: [5.e5, 1.e10], + 1: [5.e5, 5.e9], + 2: [5.e5, 2.5e9], + 3: [1.e5, 1.e8], } ch_num = int(flux_var.split("ch")[-1]) zrange = zrange_list.get(ch_num, [1e1, 1e2]) if "nflux" in flux_var else zrange_list.get(ch_num, [1.e4, 1.e7]) @@ -353,10 +353,10 @@ def epd_l2_PAspectra( 345.00043, 429.99945, 630.00061, 899.99890, 1300.0013, 1799.9985, 2500.0022, 3349.9990, 4150.0034, 5800.0000]) # TODO: make sure it's safe to hardcode here EMAXS = np.array([ - 79.999962, 120.00005, 159.99998, 210.00015, 269.99973, 345.00043, - 429.99945, 630.00061, 899.99890, 1300.0013, 1799.9985, 2500.0022, + 79.999962, 120.00005, 159.99998, 210.00015, 269.99973, 345.00043, + 429.99945, 630.00061, 899.99890, 1300.0013, 1799.9985, 2500.0022, 3349.9990, 4150.0034, 5800.0000, 7200.0000]) - + # load L2 t-PA-E 3D flux data = get_data(flux_tvar) energy_midbin = np.copy(data.v2) @@ -421,7 +421,8 @@ def epd_l2_PAspectra( else: mydt = np.median(spinper.y) degap(PA_var, dt=mydt, margin=0.5*mydt/2) - PA_tvars.append(PA_var) + + PA_tvars.append(PA_var) return PA_tvars \ No newline at end of file diff --git a/pyspedas/elfin/epd/epd.py b/pyspedas/elfin/epd/epd.py index b33ed90b..5fb1409f 100644 --- a/pyspedas/elfin/epd/epd.py +++ b/pyspedas/elfin/epd/epd.py @@ -163,10 +163,10 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], res = 'hs' if fullspin is False else 'fs' tvars = epd_l2_postprocessing( - tvars, - fluxtype=type_, - res=res, - PAspec_energies=PAspec_energies, + tvars, + fluxtype=type_, + res=res, + PAspec_energies=PAspec_energies, PAspec_energybins=PAspec_energybins, Espec_LCfatol=Espec_LCfatol, Espec_LCfptol=Espec_LCfptol,) diff --git a/pyspedas/elfin/epd/postprocessing.py b/pyspedas/elfin/epd/postprocessing.py index 2191a0fe..775159b8 100644 --- a/pyspedas/elfin/epd/postprocessing.py +++ b/pyspedas/elfin/epd/postprocessing.py @@ -178,21 +178,21 @@ def epd_l2_postprocessing( flux_tname = [name for name in tplotnames if f"p{datatype}f_{res}_Epat_{fluxtype}" in name] LC_tname = [name for name in tplotnames if f"_{res}_LCdeg" in name] #TODO: change loss cone name later - if len(flux_tname) != 1: + if len(flux_tname) != 1: logging.error(f'{len(flux_tname)} flux tplot variables is found!') return - if len(LC_tname) != 1: + if len(LC_tname) != 1: logging.error(f'{len(LC_tname)} LC tplot variables is found!') return logging.info("ELFIN EPD L2: START ENERGY SPECTOGRAM.") # get energy spectra in four directions - tvars = epd_l2_Espectra(flux_tname[0], LC_tname[0], LCfatol=Espec_LCfatol, LCfptol=Espec_LCfptol) + E_tvar = epd_l2_Espectra(flux_tname[0], LC_tname[0], LCfatol=Espec_LCfatol, LCfptol=Espec_LCfptol) logging.info("ELFIN EPD L2: START PITCH ANGLE SPECTOGRAM.") # get pitch angle spectra #tvars = epd_l2_PAspectra(flux_tname[0], energies=[(60, 200),(300, 1000)]) - tvars = epd_l2_PAspectra(flux_tname[0], energies=PAspec_energies, energybins=PAspec_energybins) + PA_tvar = epd_l2_PAspectra(flux_tname[0], energies=PAspec_energies, energybins=PAspec_energybins) - return tvars \ No newline at end of file + return E_tvar + PA_tvar \ No newline at end of file From 7ecc3794bbc380e86b930615bb26ee37a8f9ee84 Mon Sep 17 00:00:00 2001 From: jwu Date: Fri, 22 Sep 2023 11:59:04 -0700 Subject: [PATCH 27/29] add loading 32 sector data --- pyspedas/elfin/epd/epd.py | 31 +++++++++++++++++++++------- pyspedas/elfin/epd/postprocessing.py | 6 +++--- pyspedas/elfin/tests/test_epd_l2.py | 10 --------- 3 files changed, 26 insertions(+), 21 deletions(-) diff --git a/pyspedas/elfin/epd/epd.py b/pyspedas/elfin/epd/epd.py index 5fb1409f..0a5c3be3 100644 --- a/pyspedas/elfin/epd/epd.py +++ b/pyspedas/elfin/epd/epd.py @@ -1,9 +1,10 @@ import logging +from pytplot import get_data +import numpy as np from pyspedas.elfin.load import load from pyspedas.elfin.epd.postprocessing import epd_l1_postprocessing, epd_l2_postprocessing - def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], probe='a', datatype='pef', @@ -132,13 +133,15 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], """ logging.info("ELFIN EPD: START LOADING.") + tvars = load(instrument='epd', probe=probe, trange=trange, level=level, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, time_clip=time_clip, no_update=no_update) + logging.info("ELFIN EPD: LOADING END.") if tvars is None or notplot or downloadonly: return tvars - + CALIBRATED_TYPE_UNITS = { "raw": "counts/sector", "cps": "counts/s", @@ -150,10 +153,10 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], type_ = "nflux" if level == "l1": - tvars = epd_l1_postprocessing(tvars, trange=trange, type_=type_, nspinsinsum=nspinsinsum, + l1_tvars = epd_l1_postprocessing(tvars, trange=trange, type_=type_, nspinsinsum=nspinsinsum, unit=CALIBRATED_TYPE_UNITS[type_]) - return tvars - + return l1_tvars + elif level == "l2": logging.info("ELFIN EPD L2: START PROCESSING.") # check whether input type is allowed @@ -162,8 +165,20 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], type_ = "nflux" res = 'hs' if fullspin is False else 'fs' - tvars = epd_l2_postprocessing( - tvars, + + # if 32 sector data is needed, pass the variables with 32 + tvars_32 = [tvar for tvar in tvars if '_32' in tvar] + tvars_16 = [tvar.replace('_32', '') for tvar in tvars_32] + tvars_other = list(set(tvars) - set(tvars_32) - set(tvars_16)) + + tvars_input = tvars_other + tvars_16 + if len(tvars_32) != 0 : + data = get_data(tvars_32[0]) + if np.any(~np.isnan(data.y)) : # if any 32 sector data is not nan + tvars_input = tvars_other + tvars_32 + + l2_tvars = epd_l2_postprocessing( + tvars_input, fluxtype=type_, res=res, PAspec_energies=PAspec_energies, @@ -171,7 +186,7 @@ def elfin_load_epd(trange=['2020-11-01', '2020-11-02'], Espec_LCfatol=Espec_LCfatol, Espec_LCfptol=Espec_LCfptol,) - return tvars + return l2_tvars else: raise ValueError(f"Unknown level: {level}") diff --git a/pyspedas/elfin/epd/postprocessing.py b/pyspedas/elfin/epd/postprocessing.py index 775159b8..63cc644e 100644 --- a/pyspedas/elfin/epd/postprocessing.py +++ b/pyspedas/elfin/epd/postprocessing.py @@ -174,10 +174,10 @@ def epd_l2_postprocessing( """ tplotnames = tplotnames.copy() - tvars=[] flux_tname = [name for name in tplotnames if f"p{datatype}f_{res}_Epat_{fluxtype}" in name] - LC_tname = [name for name in tplotnames if f"_{res}_LCdeg" in name] #TODO: change loss cone name later + LC_tname = [name for name in tplotnames if f"_{res}_LCdeg" in name] + if len(flux_tname) != 1: logging.error(f'{len(flux_tname)} flux tplot variables is found!') return @@ -192,7 +192,7 @@ def epd_l2_postprocessing( logging.info("ELFIN EPD L2: START PITCH ANGLE SPECTOGRAM.") # get pitch angle spectra - #tvars = epd_l2_PAspectra(flux_tname[0], energies=[(60, 200),(300, 1000)]) + #PA_tvar = epd_l2_PAspectra(flux_tname[0], energies=[(60, 200),(300, 1000)]) PA_tvar = epd_l2_PAspectra(flux_tname[0], energies=PAspec_energies, energybins=PAspec_energybins) return E_tvar + PA_tvar \ No newline at end of file diff --git a/pyspedas/elfin/tests/test_epd_l2.py b/pyspedas/elfin/tests/test_epd_l2.py index f9f7c7da..e1f1b711 100644 --- a/pyspedas/elfin/tests/test_epd_l2.py +++ b/pyspedas/elfin/tests/test_epd_l2.py @@ -26,16 +26,6 @@ def setUpClass(cls): """ # Testing time range - #cls.t = ['2022-08-03/08:30:00','2022-08-03/09:00:00'] # pass - #cls.probe = 'a' - #cls.t = ['2022-04-12/19:00:00','2022-04-12/19:15:00'] # elb, can't pass - #cls.probe = 'b' - #cls.t = ['2022-04-13/01:28:00','2022-04-13/01:35:00'] # pass - #cls.probe = 'b' - #cls.t = ['2021-10-10/09:50:00','2021-10-10/10:10:00'] # elb with gap, 4 case can't pass - #cls.probe = 'b' - #cls.t = ['2021-10-12/23:00:00','2021-10-12/23:10:00'] # elb with gap, pass - #cls.probe = 'b' #cls.t = ['2022-04-01/09:45:00','2022-04-01/10:10:00'] # elb with inner belt, pass #cls.probe = 'b' cls.t = ['2022-08-28/15:54','2022-08-28/16:15'] # pass From d33da728c2077afcc362119dc63c058d912a9e9b Mon Sep 17 00:00:00 2001 From: jwu Date: Fri, 22 Sep 2023 14:45:51 -0700 Subject: [PATCH 28/29] add download test files from elfin server --- pyspedas/elfin/tests/test_epd_l1.py | 43 ++++++++++++++++++--- pyspedas/elfin/tests/test_epd_l2.py | 60 ++++++++++++++++++++++------- pyspedas/elfin/tests/test_state.py | 14 ++++++- 3 files changed, 96 insertions(+), 21 deletions(-) diff --git a/pyspedas/elfin/tests/test_epd_l1.py b/pyspedas/elfin/tests/test_epd_l1.py index b80d5eb7..e7dfcd95 100644 --- a/pyspedas/elfin/tests/test_epd_l1.py +++ b/pyspedas/elfin/tests/test_epd_l1.py @@ -10,9 +10,12 @@ import pytplot.get_data from pytplot.importers.tplot_restore import tplot_restore from numpy.testing import assert_allclose + import pyspedas.elfin +from pyspedas.utilities.download import download +from pyspedas.elfin.config import CONFIG -TEST_DATASET_PATH="pyspedas/elfin/tests/test_dataset/" +TEST_DATASET_PATH="test/" class TestELFL1Validation(unittest.TestCase): """Tests of the data been identical to SPEDAS (IDL).""" @@ -24,26 +27,54 @@ def setUpClass(cls): The IDL script that creates data file: epd_level1_check.pro """ # Testing time range - cls.t = ['2022-04-12/19:00:00','2022-04-12/19:15:00'] + cls.t = ['2022-04-12/19:00:00','2022-04-12/19:15:00'] cls.probe = 'b' # load epd l1 raw flux - filename = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l1_raw_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + calfile_name = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l1_raw_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + calfile = download(remote_file=calfile_name, + remote_path=CONFIG['remote_data_dir'], + local_path=CONFIG['local_data_dir'], + no_download=False) + if not calfile: + raise unittest.SkipTest(f"Cannot download validation file {calfile_name}") + filename = CONFIG['local_data_dir'] + calfile_name tplot_restore(filename) cls.elf_pef_raw = pytplot.get_data(f"el{cls.probe}_pef_raw") # load epd l1 cps flux - filename = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l1_cps_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + calfile_name = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l1_cps_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + calfile = download(remote_file=calfile_name, + remote_path=CONFIG['remote_data_dir'], + local_path=CONFIG['local_data_dir'], + no_download=False) + if not calfile: + raise unittest.SkipTest(f"Cannot download validation file {calfile_name}") + filename = CONFIG['local_data_dir'] + calfile_name tplot_restore(filename) cls.elf_pef_cps = pytplot.get_data(f"el{cls.probe}_pef_cps") # load epd l1 nflux flux - filename = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l1_nflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + calfile_name = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l1_nflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + calfile = download(remote_file=calfile_name, + remote_path=CONFIG['remote_data_dir'], + local_path=CONFIG['local_data_dir'], + no_download=False) + if not calfile: + raise unittest.SkipTest(f"Cannot download validation file {calfile_name}") + filename = CONFIG['local_data_dir'] + calfile_name tplot_restore(filename) cls.elf_pef_nflux = pytplot.get_data(f"el{cls.probe}_pef_nflux") # load epd l1 eflux spectrogram - filename = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l1_eflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + calfile_name = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l1_eflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + calfile = download(remote_file=calfile_name, + remote_path=CONFIG['remote_data_dir'], + local_path=CONFIG['local_data_dir'], + no_download=False) + if not calfile: + raise unittest.SkipTest(f"Cannot download validation file {calfile_name}") + filename = CONFIG['local_data_dir'] + calfile_name tplot_restore(filename) cls.elf_pef_eflux = pytplot.get_data(f"el{cls.probe}_pef_eflux") cls.elf_pef_sectnum = pytplot.get_data(f"el{cls.probe}_pef_sectnum") diff --git a/pyspedas/elfin/tests/test_epd_l2.py b/pyspedas/elfin/tests/test_epd_l2.py index e1f1b711..90f0fdd9 100644 --- a/pyspedas/elfin/tests/test_epd_l2.py +++ b/pyspedas/elfin/tests/test_epd_l2.py @@ -10,10 +10,13 @@ from numpy.testing import assert_allclose import pytplot.get_data from pytplot.importers.tplot_restore import tplot_restore + import pyspedas.elfin from pyspedas.elfin.epd.calibration_l2 import spec_pa_sort +from pyspedas.utilities.download import download +from pyspedas.elfin.config import CONFIG -TEST_DATASET_PATH="pyspedas/elfin/tests/test_dataset/" +TEST_DATASET_PATH="test/" class TestELFL2Validation(unittest.TestCase): """Tests of the data been identical to SPEDAS (IDL).""" @@ -31,8 +34,16 @@ def setUpClass(cls): cls.t = ['2022-08-28/15:54','2022-08-28/16:15'] # pass cls.probe = 'a' - # load epd l2 hs nflux spectrogram - filename = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l2_hs_nflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + # load epd l2 hs nflux spectrogram + calfile_name = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l2_hs_nflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + calfile = download(remote_file=calfile_name, + remote_path=CONFIG['remote_data_dir'], + local_path=CONFIG['local_data_dir'], + no_download=False) + if not calfile: + # Skip tests + raise unittest.SkipTest(f"Cannot download validation file {calfile_name}") + filename = CONFIG['local_data_dir'] + calfile_name tplot_restore(filename) cls.elf_pef_hs_nflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_hs_nflux_ch0") cls.elf_pef_hs_nflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_hs_nflux_ch1") @@ -46,12 +57,19 @@ def setUpClass(cls): cls.elf_pef_hs_LCdeg = pytplot.get_data(f"el{cls.probe}_pef_hs_LCdeg") cls.elf_pef_Et_nflux = pytplot.get_data(f"el{cls.probe}_pef_Et_nflux") cls.elf_pef_pa = pytplot.get_data(f"el{cls.probe}_pef_pa") - cls.elf_pef_hs_Epat_nflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_hs_Epat_nflux_ch0") + cls.elf_pef_hs_Epat_nflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_hs_Epat_nflux_ch0") # Epat is 3d, can't save it with idl cls.elf_pef_hs_Epat_nflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_hs_Epat_nflux_ch1") # load epd l2 hs eflux spectrogram - filename = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l2_hs_eflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + calfile_name = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l2_hs_eflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + calfile = download(remote_file=calfile_name, + remote_path=CONFIG['remote_data_dir'], + local_path=CONFIG['local_data_dir'], + no_download=False) + if not calfile: + raise unittest.SkipTest(f"Cannot download validation file {calfile_name}") + filename = CONFIG['local_data_dir'] + calfile_name tplot_restore(filename) cls.elf_pef_hs_eflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_hs_eflux_ch0") cls.elf_pef_hs_eflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_hs_eflux_ch1") @@ -62,12 +80,20 @@ def setUpClass(cls): cls.elf_pef_hs_eflux_anti = pytplot.get_data(f"el{cls.probe}_pef_hs_eflux_anti") cls.elf_pef_hs_eflux_perp = pytplot.get_data(f"el{cls.probe}_pef_hs_eflux_perp") cls.elf_pef_Et_eflux = pytplot.get_data(f"el{cls.probe}_pef_Et_eflux") - cls.elf_pef_hs_Epat_eflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_hs_Epat_eflux_ch0") + cls.elf_pef_hs_Epat_eflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_hs_Epat_eflux_ch0") # Epat is 3d, can't save it with idl cls.elf_pef_hs_Epat_eflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_hs_Epat_eflux_ch1") - - # load epd l2 fs nflux spectrogram - filename = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l2_fs_nflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + + + # load epd l2 fs nflux spectrogram + calfile_name = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l2_fs_nflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + calfile = download(remote_file=calfile_name, + remote_path=CONFIG['remote_data_dir'], + local_path=CONFIG['local_data_dir'], + no_download=False) + if not calfile: + raise unittest.SkipTest(f"Cannot download validation file {calfile_name}") + filename = CONFIG['local_data_dir'] + calfile_name tplot_restore(filename) cls.elf_pef_fs_nflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_ch0") cls.elf_pef_fs_nflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_ch1") @@ -77,12 +103,20 @@ def setUpClass(cls): cls.elf_pef_fs_nflux_perp = pytplot.get_data(f"el{cls.probe}_pef_fs_nflux_perp") cls.elf_pef_fs_antiLCdeg = pytplot.get_data(f"el{cls.probe}_pef_fs_antiLCdeg") cls.elf_pef_fs_LCdeg = pytplot.get_data(f"el{cls.probe}_pef_fs_LCdeg") - cls.elf_pef_fs_Epat_nflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_fs_Epat_nflux_ch0") + cls.elf_pef_fs_Epat_nflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_fs_Epat_nflux_ch0") # Epat is 3d, can't save it with idl cls.elf_pef_fs_Epat_nflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_fs_Epat_nflux_ch1") - # load epd l2 fs eflux spectrogram - filename = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l2_fs_eflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + + # load epd l2 fs eflux spectrogram + calfile_name = f"{TEST_DATASET_PATH}validation_el{cls.probe}_epd_l2_fs_eflux_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + calfile = download(remote_file=calfile_name, + remote_path=CONFIG['remote_data_dir'], + local_path=CONFIG['local_data_dir'], + no_download=False) + if not calfile: + raise unittest.SkipTest(f"Cannot download validation file {calfile_name}") + filename = CONFIG['local_data_dir'] + calfile_name tplot_restore(filename) cls.elf_pef_fs_eflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_fs_eflux_ch0") cls.elf_pef_fs_eflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_fs_eflux_ch1") @@ -90,7 +124,7 @@ def setUpClass(cls): cls.elf_pef_fs_eflux_para = pytplot.get_data(f"el{cls.probe}_pef_fs_eflux_para") cls.elf_pef_fs_eflux_anti = pytplot.get_data(f"el{cls.probe}_pef_fs_eflux_anti") cls.elf_pef_fs_eflux_perp = pytplot.get_data(f"el{cls.probe}_pef_fs_eflux_perp") - cls.elf_pef_fs_Epat_eflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_fs_Epat_eflux_ch0") + cls.elf_pef_fs_Epat_eflux_ch0 = pytplot.get_data(f"el{cls.probe}_pef_fs_Epat_eflux_ch0") # Epat is 3d, can't save it with idl cls.elf_pef_fs_Epat_eflux_ch1 = pytplot.get_data(f"el{cls.probe}_pef_fs_Epat_eflux_ch1") diff --git a/pyspedas/elfin/tests/test_state.py b/pyspedas/elfin/tests/test_state.py index 123a19c5..968ad4c7 100644 --- a/pyspedas/elfin/tests/test_state.py +++ b/pyspedas/elfin/tests/test_state.py @@ -10,9 +10,12 @@ import pytplot.get_data from pytplot.importers.tplot_restore import tplot_restore from numpy.testing import assert_allclose, assert_array_almost_equal, assert_array_equal + import pyspedas.elfin +from pyspedas.utilities.download import download +from pyspedas.elfin.config import CONFIG -TEST_DATASET_PATH="pyspedas/elfin/tests/test_dataset/" +TEST_DATASET_PATH="test/" class TestELFStateValidation(unittest.TestCase): """Tests of the data been identical to SPEDAS (IDL).""" @@ -28,7 +31,14 @@ def setUpClass(cls): cls.probe = 'b' # Load validation variables from the test file - filename = f"{TEST_DATASET_PATH}validation_el{cls.probe}_state_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + calfile_name = f"{TEST_DATASET_PATH}validation_el{cls.probe}_state_{cls.t[0][0:4]+cls.t[0][5:7]+cls.t[0][8:10]}.tplot" + calfile = download(remote_file=calfile_name, + remote_path=CONFIG['remote_data_dir'], + local_path=CONFIG['local_data_dir'], + no_download=False) + if not calfile: + raise unittest.SkipTest(f"Cannot download validation file {calfile_name}") + filename = CONFIG['local_data_dir'] + calfile_name tplot_restore(filename) cls.elf_pos_gei = pytplot.get_data(f"el{cls.probe}_pos_gei") cls.elf_vel_gei = pytplot.get_data(f"el{cls.probe}_vel_gei") From 12fccf43845cc05fda932baafe70b781daf32b16 Mon Sep 17 00:00:00 2001 From: jwu Date: Sat, 23 Sep 2023 20:09:00 -0700 Subject: [PATCH 29/29] change test_epd_l2 to load data from server --- pyspedas/elfin/tests/test_epd_l2.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/pyspedas/elfin/tests/test_epd_l2.py b/pyspedas/elfin/tests/test_epd_l2.py index 90f0fdd9..f83dbcfa 100644 --- a/pyspedas/elfin/tests/test_epd_l2.py +++ b/pyspedas/elfin/tests/test_epd_l2.py @@ -185,7 +185,7 @@ def test_epd_l2_hs_eflux(self): trange=self.t, probe=self.probe, level='l2', - no_update=True, + no_update=False, type_='eflux', Espec_LCfatol=40, Espec_LCfptol=5,) @@ -231,7 +231,7 @@ def test_epd_l2_fs_nflux(self): trange=self.t, probe=self.probe, level='l2', - no_update=True, + no_update=False, fullspin=True, PAspec_energybins=[(0,3),(4,6)], ) @@ -271,7 +271,7 @@ def test_epd_l2_fs_eflux(self): trange=self.t, probe=self.probe, level='l2', - no_update=True, + no_update=False, fullspin=True, type_='eflux', PAspec_energies=[(50,250),(250,430)],