From c7d59f449e7a2be672283a1d48341cf79df0aa98 Mon Sep 17 00:00:00 2001 From: Gregory Simonian Date: Fri, 3 Jun 2022 11:45:12 -0500 Subject: [PATCH 001/610] I began working on the MDM script. I am basing my work on the mdmosmos4k.py script and the ldtdeveny.py script. --- pypeit/spectrographs/mdm_modspec.py | 174 ++++++++++++++++++++++++++++ 1 file changed, 174 insertions(+) create mode 100644 pypeit/spectrographs/mdm_modspec.py diff --git a/pypeit/spectrographs/mdm_modspec.py b/pypeit/spectrographs/mdm_modspec.py new file mode 100644 index 0000000000..ad4eb949f1 --- /dev/null +++ b/pypeit/spectrographs/mdm_modspec.py @@ -0,0 +1,174 @@ +""" +Module for MDM/Modspec specific methods. + +.. include:: ../include/links.rst +""" +import numpy as np + +from pypeit import msgs +from pypeit import telescopes +from pypeit.core import framematch +from pypeit.spectrographs import spectrograph +from pypeit.core import parse +from pypeit.images import detector_container + +class MDMModspecEchelleSpectrograph(spectrograph.Spectrograph): + """ + Child to handle MDM Modspec Echelle instrument+detector + """ + ndet = 1 + name = 'mdm_modspec_echelle' + telescope = telescopes.KPNOTelescopePar() + camera = 'Echelle' + header_name = 'ModSpec' + supported = True + comment = 'MDM Modspec spectrometer' + +def get_detector_par(self, det, hdu=None): + """ + Return metadata for the selected detector. + + Args: + det (:obj:`int`): + 1-indexed detector number. + hdu (`astropy.io.fits.HDUList`_, optional): + The open fits file with the raw image of interest. If not + provided, frame-dependent parameters are set to a default. + + Returns: + :class:`~pypeit.images.detector_container.DetectorContainer`: + Object with the detector metadata. + """ + # Detector 1 + gain = np.atleast_1d(1.3) # Hardcoded in the header + ronoise = np.atleast_1d(7.90) # Hardcoded in the header + len1 = hdu[0].header['NAXIS1'] + len2 = hdu[0].header['NAXIS2'] + datasec = np.atleast_1d([ + '[{0:d}:{1:d},{2:d}:{3:d}'.format(1+5, len1-5, 1, len2)]) + oscansec = np.atleast_1d([ + '[{0:d}:{1:d},{2:d}:{3:d}'.format(1, 1+5, 1, len2), + '[{0:d}:{1:d},{2:d}:{3:d}'.format(len1-5, len1, 1, len2), + ]) + if hdu is None: + binning = '1,1' # Most common use mode + else: + binning = "{0},{1}".format( + hdu[0].header['CCDBIN1'], hdu[0].header['CCDBIN2']) + + # Detector + detector_dict = dict( + binning = binning, + det = 1, + dataext = 0, + specaxis = 0, # Native spectrum is along the x-axis + specflip = True, # DeVeny CCD has blue at the right + spatflip = False, + platescale = 0.28, # Arcsec / pixel + darkcurr = 0.0, # Electrons per hour + saturation = 65535., # 16-bit ADC + nonlinear = 0.97, # Linear to ~97% of saturation + mincounts = -1e10, + numamplifiers = 1, + gain = gain, # See above + ronoise = ronoise, # See above + # Data & Overscan Sections -- Edge tracing can handle slit edges + datasec = datasec, # See above + oscansec = oscansec # See above + ) + return detector_container.DetectorContainer(**detector_dict) + detector_dict = dict( + binning = '1,1' if hdu is None + else self.get_meta_value(self.get_headarr(hdu), 'binning'), + det=1, + dataext = 0, + specaxis = 1, + specflip = True, + spatflip = False, + xgap = 0., + ygap = 0., + ysize = 1., + platescale = 0.273, + mincounts = -1e10, + darkcurr = 0.0, + saturation = 65535., + nonlinear = 0.86, + numamplifiers = 4, + gain = np.atleast_1d([2.2, 2.2, 2.2, 2.2]), + ronoise = np.atleast_1d([5.0, 5.0, 5.0, 5.0]), + datasec = np.atleast_1d(['[9:509,33:2064]', '[509:,33:2064]', + '[9:509, 2065:4092', '[509:, 2065:4092']), + oscansec = np.atleast_1d(['[9:509, 1:32]', '[509:, 1:32]', + '[9:509, 4098:]', '[509:, 4098:]']), + ) + # Return + return detector_container.DetectorContainer(**detector_dict) + + @classmethod + def default_pypeit_par(cls): + """ + Return the default parameters to use for this instrument. + + Returns: + :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by + all of ``PypeIt`` methods. + """ + par = super().default_pypeit_par() + + # Ignore PCA + par['calibrations']['slitedges']['sync_predict'] = 'nearest' + + # Set pixel flat combination method + par['calibrations']['pixelflatframe']['process']['combine'] = 'median' + # Wavelength calibration methods + par['calibrations']['wavelengths']['method'] = 'full_template' + par['calibrations']['wavelengths']['lamps'] = ['ArI', 'XeI'] + par['calibrations']['wavelengths']['reid_arxiv'] = 'mdm_osmos_mdm4k.fits' + par['calibrations']['wavelengths']['sigdetect'] = 10.0 + # Set the default exposure time ranges for the frame typing + par['calibrations']['biasframe']['exprng'] = [None, 1] + par['calibrations']['darkframe']['exprng'] = [999999, None] # No dark frames + par['calibrations']['pinholeframe']['exprng'] = [999999, None] # No pinhole frames + par['calibrations']['arcframe']['exprng'] = [None, None] # Long arc exposures on this telescope + par['calibrations']['standardframe']['exprng'] = [None, 120] + par['scienceframe']['exprng'] = [90, None] + + return par + + def init_meta(self): + """ + Define how metadata are derived from the spectrograph files. + + That is, this associates the ``PypeIt``-specific metadata keywords + with the instrument-specific header cards using :attr:`meta`. + """ + self.meta = + def check_frame_type(self, ftype, fitstbl, exprng=None): + """ + Check for frames of the provided type. + + Args: + ftype (:obj:`str`): + Type of frame to check. Must be a valid frame type; see + frame-type :ref:`frame_type_defs`. + fitstbl (`astropy.table.Table`_): + The table with the metadata for one or more frames to check. + exprng (:obj:`list`, optional): + Range in the allowed exposure time for a frame of type + ``ftype``. See + :func:`pypeit.core.framematch.check_frame_exptime`. + + Returns: + `numpy.ndarray`_: Boolean array with the flags selecting the + exposures in ``fitstbl`` that are ``ftype`` type frames. + """ + good_exp = framematch.check_frame_exptime(fitstbl['exptime'], exprng) + if ftype in ['science', 'standard']: + return good_exp & (fitstbl['imagetyp'] == 'OBJECT') + if ftype == 'bias': + return good_exp & (fitstbl['imagetyp'] == 'zero') + if ftype in ['arc','tilt']: + return good_exp & np.array([ilamp in ['Ar','Xe'] for ilamp in fitstbl['lampstat01']]) & (fitstbl['idname'] == 'COMP') + msgs.warn('Cannot determine if frames are of type {0}.'.format(ftype)) + return np.zeros(len(fitstbl), dtype=bool) + From 58ae6809f07f4f4a5609a8c9d856e5bf41aacfd2 Mon Sep 17 00:00:00 2001 From: hnmartin <106616476+hnmartin@users.noreply.github.com> Date: Fri, 3 Jun 2022 12:08:52 -0500 Subject: [PATCH 002/610] I added a comment! My comment is "I have added a comment!" --- pypeit/spectrographs/mdm_modspec.py | 1 + 1 file changed, 1 insertion(+) diff --git a/pypeit/spectrographs/mdm_modspec.py b/pypeit/spectrographs/mdm_modspec.py index ad4eb949f1..cb896e6c85 100644 --- a/pypeit/spectrographs/mdm_modspec.py +++ b/pypeit/spectrographs/mdm_modspec.py @@ -172,3 +172,4 @@ def check_frame_type(self, ftype, fitstbl, exprng=None): msgs.warn('Cannot determine if frames are of type {0}.'.format(ftype)) return np.zeros(len(fitstbl), dtype=bool) +# I have added a comment! \ No newline at end of file From 98db356e22ac1df68dad66709332e8acbae82126 Mon Sep 17 00:00:00 2001 From: hnmartin <106616476+hnmartin@users.noreply.github.com> Date: Fri, 3 Jun 2022 12:12:53 -0500 Subject: [PATCH 003/610] I have removed the comment. It is not there anymore. --- pypeit/spectrographs/mdm_modspec.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/pypeit/spectrographs/mdm_modspec.py b/pypeit/spectrographs/mdm_modspec.py index cb896e6c85..5b61acf2a7 100644 --- a/pypeit/spectrographs/mdm_modspec.py +++ b/pypeit/spectrographs/mdm_modspec.py @@ -171,5 +171,3 @@ def check_frame_type(self, ftype, fitstbl, exprng=None): return good_exp & np.array([ilamp in ['Ar','Xe'] for ilamp in fitstbl['lampstat01']]) & (fitstbl['idname'] == 'COMP') msgs.warn('Cannot determine if frames are of type {0}.'.format(ftype)) return np.zeros(len(fitstbl), dtype=bool) - -# I have added a comment! \ No newline at end of file From eb5f0bd0007ad69e228134727f7289378c99839f Mon Sep 17 00:00:00 2001 From: Gregory Simonian Date: Wed, 15 Jun 2022 11:22:54 -0500 Subject: [PATCH 004/610] Added more functionality to PypeIt. --- pypeit/spectrographs/mdm_modspec.py | 81 ++++++++++++++++++++--------- 1 file changed, 55 insertions(+), 26 deletions(-) diff --git a/pypeit/spectrographs/mdm_modspec.py b/pypeit/spectrographs/mdm_modspec.py index ad4eb949f1..d760c1ea43 100644 --- a/pypeit/spectrographs/mdm_modspec.py +++ b/pypeit/spectrographs/mdm_modspec.py @@ -23,6 +23,7 @@ class MDMModspecEchelleSpectrograph(spectrograph.Spectrograph): header_name = 'ModSpec' supported = True comment = 'MDM Modspec spectrometer' + pypeline='MultiSlit' def get_detector_par(self, det, hdu=None): """ @@ -77,32 +78,6 @@ def get_detector_par(self, det, hdu=None): oscansec = oscansec # See above ) return detector_container.DetectorContainer(**detector_dict) - detector_dict = dict( - binning = '1,1' if hdu is None - else self.get_meta_value(self.get_headarr(hdu), 'binning'), - det=1, - dataext = 0, - specaxis = 1, - specflip = True, - spatflip = False, - xgap = 0., - ygap = 0., - ysize = 1., - platescale = 0.273, - mincounts = -1e10, - darkcurr = 0.0, - saturation = 65535., - nonlinear = 0.86, - numamplifiers = 4, - gain = np.atleast_1d([2.2, 2.2, 2.2, 2.2]), - ronoise = np.atleast_1d([5.0, 5.0, 5.0, 5.0]), - datasec = np.atleast_1d(['[9:509,33:2064]', '[509:,33:2064]', - '[9:509, 2065:4092', '[509:, 2065:4092']), - oscansec = np.atleast_1d(['[9:509, 1:32]', '[509:, 1:32]', - '[9:509, 4098:]', '[509:, 4098:]']), - ) - # Return - return detector_container.DetectorContainer(**detector_dict) @classmethod def default_pypeit_par(cls): @@ -172,3 +147,57 @@ def check_frame_type(self, ftype, fitstbl, exprng=None): msgs.warn('Cannot determine if frames are of type {0}.'.format(ftype)) return np.zeros(len(fitstbl), dtype=bool) + def default_pypeit_par(cls): + """ + Return the default parameters to use for this instrument. + + Returns: + :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by + all of ``PypeIt`` methods. + """ + par = super().default_pypeit_par() + + # Let's start off without any changes, and then add them on as we need + # them. + + # Make a bad pixel mask + par['calibrations']['bpm_usebias'] = True + + # Wavelength Calibration Parameters + # Arc lamps list + # There is apparently a way to set it from the header. I am not too + # sure about how. + par['calibrations']['wavelengths']['lamps'] = ['NeI', 'ArI', 'XeI'] + par['calibrations']['wavelengths']['method'] = 'full_template' + # Check if the FWHM derived is different than the one measured. + par['calibrations']['wavelengths']['fwhm_fromlines'] = True + # Try using two snips of the spectrum + par['calibrations']['wavelengths']['nsnippet'] = 2 # Default: 2 + # Because of the wide wavelength range, solution more non-linear; user higher orders + par['calibrations']['wavelengths']['n_first'] = 3 # Default: 2 + par['calibrations']['wavelengths']['n_final'] = 5 # Default: 4 + + # Slit-edge settings for long-slit data (DeVeny's slit is > 90" long) + par['calibrations']['slitedges']['bound_detector'] = True + par['calibrations']['slitedges']['sync_predict'] = 'nearest' + par['calibrations']['slitedges']['minimum_slit_length'] = 90. + + # For the tilts, our lines are not as well-behaved as others', + # possibly due to the Wynne type E camera. + par['calibrations']['tilts']['spat_order'] = 4 # Default: 3 + par['calibrations']['tilts']['spec_order'] = 5 # Default: 4 + + # Cosmic ray rejection parameters for science frames + par['scienceframe']['process']['sigclip'] = 5.0 # Default: 4.5 + par['scienceframe']['process']['objlim'] = 2.0 # Default: 3.0 + + # Reduction and Extraction Parameters -- Look for fainter objects + par['reduce']['findobj']['sig_thresh'] = 5.0 # Default: 10.0 + + # Flexure Correction Parameters + par['flexure']['spec_method'] = 'boxcar' # Default: 'skip' + + # Sensitivity Function Parameters + par['sensfunc']['polyorder'] = 7 # Default: 5 + + return pa From a6510e21fc7bc9d118db7e1293039c9e54d354e6 Mon Sep 17 00:00:00 2001 From: hnmartin <106616476+hnmartin@users.noreply.github.com> Date: Thu, 16 Jun 2022 10:15:34 -0500 Subject: [PATCH 005/610] Update mdm_modspec.py --- pypeit/spectrographs/mdm_modspec.py | 71 ++++++++++++++--------------- 1 file changed, 33 insertions(+), 38 deletions(-) diff --git a/pypeit/spectrographs/mdm_modspec.py b/pypeit/spectrographs/mdm_modspec.py index 5b61acf2a7..b1a4e3005f 100644 --- a/pypeit/spectrographs/mdm_modspec.py +++ b/pypeit/spectrographs/mdm_modspec.py @@ -24,7 +24,7 @@ class MDMModspecEchelleSpectrograph(spectrograph.Spectrograph): supported = True comment = 'MDM Modspec spectrometer' -def get_detector_par(self, det, hdu=None): + def get_detector_par(self, det, hdu=None): """ Return metadata for the selected detector. @@ -40,15 +40,17 @@ def get_detector_par(self, det, hdu=None): Object with the detector metadata. """ # Detector 1 - gain = np.atleast_1d(1.3) # Hardcoded in the header - ronoise = np.atleast_1d(7.90) # Hardcoded in the header + # See Echelle at 2.4m f/7.5 scale : http://mdm.kpno.noirlab.edu/mdm-ccds.html + gain = np.atleast_1d([1.3]) # Hardcoded in the header + ronoise = np.atleast_1d([7.90]) # Hardcoded in the header len1 = hdu[0].header['NAXIS1'] len2 = hdu[0].header['NAXIS2'] + datasec = np.atleast_1d([ - '[{0:d}:{1:d},{2:d}:{3:d}'.format(1+5, len1-5, 1, len2)]) + '[{0:d}:{1:d},{2:d}:{3:d}]'.format(1+5, len1-5, 1, len2)]) oscansec = np.atleast_1d([ - '[{0:d}:{1:d},{2:d}:{3:d}'.format(1, 1+5, 1, len2), - '[{0:d}:{1:d},{2:d}:{3:d}'.format(len1-5, len1, 1, len2), + '[{0:d}:{1:d},{2:d}:{3:d}]'.format(1, 1+5, 1, len2), + '[{0:d}:{1:d},{2:d}:{3:d}]'.format(len1-5, len1, 1, len2) ]) if hdu is None: binning = '1,1' # Most common use mode @@ -56,7 +58,7 @@ def get_detector_par(self, det, hdu=None): binning = "{0},{1}".format( hdu[0].header['CCDBIN1'], hdu[0].header['CCDBIN2']) - # Detector + # Detector 1 continued detector_dict = dict( binning = binning, det = 1, @@ -76,35 +78,11 @@ def get_detector_par(self, det, hdu=None): datasec = datasec, # See above oscansec = oscansec # See above ) - return detector_container.DetectorContainer(**detector_dict) - detector_dict = dict( - binning = '1,1' if hdu is None - else self.get_meta_value(self.get_headarr(hdu), 'binning'), - det=1, - dataext = 0, - specaxis = 1, - specflip = True, - spatflip = False, - xgap = 0., - ygap = 0., - ysize = 1., - platescale = 0.273, - mincounts = -1e10, - darkcurr = 0.0, - saturation = 65535., - nonlinear = 0.86, - numamplifiers = 4, - gain = np.atleast_1d([2.2, 2.2, 2.2, 2.2]), - ronoise = np.atleast_1d([5.0, 5.0, 5.0, 5.0]), - datasec = np.atleast_1d(['[9:509,33:2064]', '[509:,33:2064]', - '[9:509, 2065:4092', '[509:, 2065:4092']), - oscansec = np.atleast_1d(['[9:509, 1:32]', '[509:, 1:32]', - '[9:509, 4098:]', '[509:, 4098:]']), - ) # Return return detector_container.DetectorContainer(**detector_dict) - + @classmethod + def default_pypeit_par(cls): """ Return the default parameters to use for this instrument. @@ -119,12 +97,29 @@ def default_pypeit_par(cls): par['calibrations']['slitedges']['sync_predict'] = 'nearest' # Set pixel flat combination method - par['calibrations']['pixelflatframe']['process']['combine'] = 'median' + # Two ## denote calibrations useful for our purposes but maybe not useful for the overall calibration for Echelle + ## par['calibrations']['pixelflatframe']['process']['scale_method'] = 'mode' #but since not an option, 'auto' which is the default anyways + par['calibrations']['pixelflatframe']['process']['combine'] = 'mean' + ## par['calibrations']['pixelflatframe']['process']['clip'] = True + ## par['calibrations']['pixelflatframe']['process']['comb_sigrej'] = 3.0 #not sure which + ## par['calibrations']['pixelflatframe']['process']['sigclip'] = 3.0 #not sure which + ## par['calibrations']['pixelflatframe']['process']['n_lohi'] = [1, 1] #[nlow, nhigh] + ## par['calibrations']['pixelflatframe']['process']['use_overscan'] = False + + # oy vey : # Wavelength calibration methods - par['calibrations']['wavelengths']['method'] = 'full_template' - par['calibrations']['wavelengths']['lamps'] = ['ArI', 'XeI'] - par['calibrations']['wavelengths']['reid_arxiv'] = 'mdm_osmos_mdm4k.fits' - par['calibrations']['wavelengths']['sigdetect'] = 10.0 + par['calibrations']['wavelengths']['echelle'] = True # an additional 2-d fit wavelength fit will be performed as a function of spectral pixel and order number to improve the wavelength solution, since this is an echelle spectrograph + par['calibrations']['wavelengths']['ech_fix_format'] = True #this is the default but I don't know if it is or not; is this a fixed format echelle? + par['calibrations']['wavelengths']['ech_norder_coeff'] = 4 #default; this is the order of the final 2d fit to the order dimension + par['calibrations']['wavelengths']['ech_nspec_coeff'] = 4 #default; this is the order of the final 2d fit to the spectral dimension. this should be the n_final of the fits to the individual orders {???} + par['calibrations']['wavelengths']['ech_sigrej'] = 2.0 #defualt; this is the sigma clipping rejection threshold in the 2d fit to spectral AND order dimensions + par['calibrations']['wavelengths']['nreid_min'] = 1 #defualt; the minimum number of times that a given candidate reidentified line must be properly matched with a line in the arxiv to be considered a good reidentification. For echelle this depends on the number of solutions in the archived wavelength solution. Set this to 1 for fixed format echelle spectrographs. For an echelle with a tiltable grating, this will depend on the number of solutions in the archived wavelength solution. + + par['calibrations']['wavelengths']['method'] = 'full_template' #more reliable than 'holy-grail', but requires an archived wavelength solution for the specific instrument/grating combination. See https://pypeit.readthedocs.io/en/latest/pypeit_par.html#wavelengthsolutionpar-keywords, also https://pypeit.readthedocs.io/en/latest/wave_calib.html#identify and https://pypeit.readthedocs.io/en/latest/master_edges.html and https://pypeit.readthedocs.io/en/latest/master_arc.html + par['calibrations']['wavelengths']['lamps'] = ['ArI', 'XeI', 'NeI'] + par['calibrations']['wavelengths']['reid_arxiv'] = 'mdm_modspec.fits' #abovementioned archived wavelength solution; need one for Echelle / Modspec + par['calibrations']['wavelengths']['sigdetect'] = 10.0 #Sigma threshold above fluctuations for arc-line detection + # Set the default exposure time ranges for the frame typing par['calibrations']['biasframe']['exprng'] = [None, 1] par['calibrations']['darkframe']['exprng'] = [999999, None] # No dark frames From 4bb7e61a8ed3acac12cf670ae84ecea76144eefa Mon Sep 17 00:00:00 2001 From: hnmartin <106616476+hnmartin@users.noreply.github.com> Date: Thu, 16 Jun 2022 12:03:33 -0500 Subject: [PATCH 006/610] Update mdm_modspec.py --- pypeit/spectrographs/mdm_modspec.py | 98 +++++++++++++++++++++++------ 1 file changed, 80 insertions(+), 18 deletions(-) diff --git a/pypeit/spectrographs/mdm_modspec.py b/pypeit/spectrographs/mdm_modspec.py index b1a4e3005f..3c3ca227ac 100644 --- a/pypeit/spectrographs/mdm_modspec.py +++ b/pypeit/spectrographs/mdm_modspec.py @@ -97,27 +97,17 @@ def default_pypeit_par(cls): par['calibrations']['slitedges']['sync_predict'] = 'nearest' # Set pixel flat combination method - # Two ## denote calibrations useful for our purposes but maybe not useful for the overall calibration for Echelle - ## par['calibrations']['pixelflatframe']['process']['scale_method'] = 'mode' #but since not an option, 'auto' which is the default anyways par['calibrations']['pixelflatframe']['process']['combine'] = 'mean' - ## par['calibrations']['pixelflatframe']['process']['clip'] = True - ## par['calibrations']['pixelflatframe']['process']['comb_sigrej'] = 3.0 #not sure which - ## par['calibrations']['pixelflatframe']['process']['sigclip'] = 3.0 #not sure which - ## par['calibrations']['pixelflatframe']['process']['n_lohi'] = [1, 1] #[nlow, nhigh] - ## par['calibrations']['pixelflatframe']['process']['use_overscan'] = False + par['calibrations']['pixelflatframe']['process']['clip'] = True + par['calibrations']['pixelflatframe']['process']['comb_sigrej'] = 3.0 + par['calibrations']['pixelflatframe']['process']['n_lohi'] = [1, 1] #[nlow, nhigh] + par['calibrations']['pixelflatframe']['process']['use_overscan'] = False - # oy vey : # Wavelength calibration methods - par['calibrations']['wavelengths']['echelle'] = True # an additional 2-d fit wavelength fit will be performed as a function of spectral pixel and order number to improve the wavelength solution, since this is an echelle spectrograph - par['calibrations']['wavelengths']['ech_fix_format'] = True #this is the default but I don't know if it is or not; is this a fixed format echelle? - par['calibrations']['wavelengths']['ech_norder_coeff'] = 4 #default; this is the order of the final 2d fit to the order dimension - par['calibrations']['wavelengths']['ech_nspec_coeff'] = 4 #default; this is the order of the final 2d fit to the spectral dimension. this should be the n_final of the fits to the individual orders {???} - par['calibrations']['wavelengths']['ech_sigrej'] = 2.0 #defualt; this is the sigma clipping rejection threshold in the 2d fit to spectral AND order dimensions - par['calibrations']['wavelengths']['nreid_min'] = 1 #defualt; the minimum number of times that a given candidate reidentified line must be properly matched with a line in the arxiv to be considered a good reidentification. For echelle this depends on the number of solutions in the archived wavelength solution. Set this to 1 for fixed format echelle spectrographs. For an echelle with a tiltable grating, this will depend on the number of solutions in the archived wavelength solution. - par['calibrations']['wavelengths']['method'] = 'full_template' #more reliable than 'holy-grail', but requires an archived wavelength solution for the specific instrument/grating combination. See https://pypeit.readthedocs.io/en/latest/pypeit_par.html#wavelengthsolutionpar-keywords, also https://pypeit.readthedocs.io/en/latest/wave_calib.html#identify and https://pypeit.readthedocs.io/en/latest/master_edges.html and https://pypeit.readthedocs.io/en/latest/master_arc.html par['calibrations']['wavelengths']['lamps'] = ['ArI', 'XeI', 'NeI'] par['calibrations']['wavelengths']['reid_arxiv'] = 'mdm_modspec.fits' #abovementioned archived wavelength solution; need one for Echelle / Modspec + ###|||||| do this one below ||||||### par['calibrations']['wavelengths']['sigdetect'] = 10.0 #Sigma threshold above fluctuations for arc-line detection # Set the default exposure time ranges for the frame typing @@ -125,8 +115,8 @@ def default_pypeit_par(cls): par['calibrations']['darkframe']['exprng'] = [999999, None] # No dark frames par['calibrations']['pinholeframe']['exprng'] = [999999, None] # No pinhole frames par['calibrations']['arcframe']['exprng'] = [None, None] # Long arc exposures on this telescope - par['calibrations']['standardframe']['exprng'] = [None, 120] - par['scienceframe']['exprng'] = [90, None] + par['calibrations']['standardframe']['exprng'] = [10, 60] + par['scienceframe']['exprng'] = [120, 600] return par @@ -137,7 +127,79 @@ def init_meta(self): That is, this associates the ``PypeIt``-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ - self.meta = + self.meta = {} + # Required (core) + self.meta['ra'] = dict(ext=0, card='RA') + self.meta['dec'] = dict(ext=0, card='DEC') + self.meta['target'] = dict(ext=0, card='OBJECT') + self.meta['decker'] = dict(card=None) + self.meta['binning'] = dict(card=None, compound=True) + #self.meta['binning'] = [dict(ext=0, card='CCDBIN1'), dict(ext=0, card='CCDBIN2')] + + self.meta['mjd'] = float(dict(ext=0, card='JD')) - 2400000.5 + self.meta['exptime'] = dict(ext=0, card='EXPTIME') + self.meta['airmass'] = dict(ext=0, card='AIRMASS') + # Extras for config and frametyping + # in an example of what this code generates, see https://pypeit.readthedocs.io/en/latest/pypeit_file.html#pypeit-file + ## on that note, 'dispname' is showing 600/4310 and that makes no sense to me + ## okay apparently according to https://watermark.silverchair.com/360-4-1281.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAAuYwggLiBgkqhkiG9w0BBwagggLTMIICzwIBADCCAsgGCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQMYDY3odQx18n61h_OAgEQgIICmRDa6yhMHVq4rhm9vxfUOxJJk38Ppwr37LtGSH08YK5TV_Y3sUaRQ6Pd_CRDP4HpCy0UBoRIEvJMaW77Tnq1k45akgXw26T5D-SsWWWX8v3JYjgD5wJRzcM_lbQOgljRuBgffDixM-kc4kFvlzAUGdPfSAKT-0kYp9Bj3X6SX2QUKJabemNm3kuApMDpgOQYj1_JXDxH1FAzqUco3abNAJSJwXp33t8vhNaK3hTI_CO0X66ul6PYx2aGEs1MG2AFLT0rnPt_Q1NSoXnGhRV4AJVMXJF58I7oZ_0bLuN_P-e87J9VNA1JBp9CNJzqYN9Rz0TOHEDhmC05NTYmfNpbbZUW6R4x9u6s8cQiaK0J5C6m_DtZgxokt5Rg7fSEtOZFzD42i-B1Aln4BqX57o423Uhi1QkYGfk5eeReq-fKRFEy-vrsuEiAPYhLE045xQR_OiaKeQkeQEMxumZcDA4FPLHcF9W_cIBc9-Qr24h-xdKXYpkCg994hOcdOzMvJon9nAFJyyW6CAENtDDmFewW9-Ht3EwPYCR0Remb3SuddgZPCxBXoijUcjf7YPw9PRqRLEJ26K0ag10B_eAgwjkcEAwThhHGDp9EkkB8cmlwjca5uPOlfrZ_lqen0y-UC-8wMh4bdcvqUCmsMg3GoPC4q8CVgTPdPvXOhROgyCSbJi_J53RZD8CkE1K7K9dfDN7UsFPwhb31qWOw1FoG5dAv4xWUJZG_zOe503hFhWvql8J9Go2J1IcdZXIA1eRBueW7GF9SffIp0YQddpg4e8oAwiMKD3Tqed0--lZ2Oqx6fbbubfuo5ppFTDZi83VrlRbxdPU-blJYdYJDSDH5DoQ6xQZ6QBOwU0M95TkmiNb7LgJWz5k6pdDCbDqu + ## it is Grism/grating (lines mm^-1 / blaze), whatever that means + #self.meta['dispname'] = 'Diffraction Grating' + self.meta['dispname'] = '1200/5000' ## check on how this needs to be formatted + self.meta['idname'] = dict(ext=0, card='IMAGETYP') + # Lamps + self.meta['lampstat01'] = dict(ext=0, card='LAMPS') + self.meta['instrument'] = dict(ext=0, card='INSTRUME') + + def compound_meta(self, headarr, meta_key): + """ + Methods to generate metadata requiring interpretation of the header + data, instead of simply reading the value of a header card. + + Args: + headarr (:obj:`list`): + List of `astropy.io.fits.Header`_ objects. + meta_key (:obj:`str`): + Metadata keyword to construct. + + Returns: + object: Metadata value read from the header(s). + """ + if meta_key == 'binning': + ## double-check the bin1 vs bin2 assignment + binspatial = headarr[0]['CCDBIN1'] + binspec = headarr[0]['CCDBIN2'] + return parse.binning2string(binspec, binspatial) + else: + msgs.error("Not ready for this compound meta") + + def configuration_keys(self): + """ + Return the metadata keys that define a unique instrument + configuration. + + This list is used by :class:`~pypeit.metadata.PypeItMetaData` to + identify the unique configurations among the list of frames read + for a given reduction. + + Returns: + :obj:`list`: List of keywords of data pulled from file headers + and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` + object. + """ + return ['dispname', 'decker', 'binning'] + + def pypeit_file_keys(self): + """ + Define the list of keys to be output into a standard ``PypeIt`` file. + + Returns: + :obj:`list`: The list of keywords in the relevant + :class:`~pypeit.metadata.PypeItMetaData` instance to print to the + :ref:`pypeit_file`. + """ + return super().pypeit_file_keys() + ['slitwid'] + def check_frame_type(self, ftype, fitstbl, exprng=None): """ Check for frames of the provided type. From 88a93f7c4478fa9d386765d8a2afc41a1cc4137a Mon Sep 17 00:00:00 2001 From: hnmartin <106616476+hnmartin@users.noreply.github.com> Date: Fri, 17 Jun 2022 12:06:46 -0500 Subject: [PATCH 007/610] Began following PypeIt's dev info for new spectrograph Up to now, had been comparing the mdm_osmos PypeIt module to a mdm_modspec Iraf document and simply adjusting the variables accordingly; now began to follow the systematic approach outlined in https://pypeit.readthedocs.io/en/latest/new_spectrograph.html Added a pypeline referenced this module in the startup file Added in blank MetaData cards to fill in later Added a bad pixels mask --- pypeit/spectrographs/__init__.py | 1 + pypeit/spectrographs/mdm_modspec.py | 117 +++++++++++++++++++++++++--- 2 files changed, 108 insertions(+), 10 deletions(-) diff --git a/pypeit/spectrographs/__init__.py b/pypeit/spectrographs/__init__.py index 65a66a4a2e..d64008a92d 100644 --- a/pypeit/spectrographs/__init__.py +++ b/pypeit/spectrographs/__init__.py @@ -20,6 +20,7 @@ from pypeit.spectrographs import ldt_deveny from pypeit.spectrographs import magellan_fire from pypeit.spectrographs import magellan_mage +from pypeit.spectrographs import mdm_modspec from pypeit.spectrographs import mdm_osmos from pypeit.spectrographs import mmt_binospec from pypeit.spectrographs import mmt_bluechannel diff --git a/pypeit/spectrographs/mdm_modspec.py b/pypeit/spectrographs/mdm_modspec.py index 3c3ca227ac..ffe7700013 100644 --- a/pypeit/spectrographs/mdm_modspec.py +++ b/pypeit/spectrographs/mdm_modspec.py @@ -21,6 +21,7 @@ class MDMModspecEchelleSpectrograph(spectrograph.Spectrograph): telescope = telescopes.KPNOTelescopePar() camera = 'Echelle' header_name = 'ModSpec' + pypeline = 'MultiSlit' supported = True comment = 'MDM Modspec spectrometer' @@ -108,7 +109,7 @@ def default_pypeit_par(cls): par['calibrations']['wavelengths']['lamps'] = ['ArI', 'XeI', 'NeI'] par['calibrations']['wavelengths']['reid_arxiv'] = 'mdm_modspec.fits' #abovementioned archived wavelength solution; need one for Echelle / Modspec ###|||||| do this one below ||||||### - par['calibrations']['wavelengths']['sigdetect'] = 10.0 #Sigma threshold above fluctuations for arc-line detection + par['calibrations']['wavelengths']['sigdetect'] = 5.0 #Sigma threshold above fluctuations for arc-line detection # Set the default exposure time ranges for the frame typing par['calibrations']['biasframe']['exprng'] = [None, 1] @@ -127,26 +128,32 @@ def init_meta(self): That is, this associates the ``PypeIt``-specific metadata keywords with the instrument-specific header cards using :attr:`meta`. """ + # see https://pypeit.readthedocs.io/en/latest/setup.html?highlight=decker#overview self.meta = {} # Required (core) self.meta['ra'] = dict(ext=0, card='RA') self.meta['dec'] = dict(ext=0, card='DEC') self.meta['target'] = dict(ext=0, card='OBJECT') - self.meta['decker'] = dict(card=None) + self.meta['decker'] = dict(card=None) # str -- ie long_1.0 -- Name of the decker or slit mask self.meta['binning'] = dict(card=None, compound=True) - #self.meta['binning'] = [dict(ext=0, card='CCDBIN1'), dict(ext=0, card='CCDBIN2')] - + + self.meta['amp'] = '' # str -- ie SINGLE:B -- Name of the amplifier used to read the detector + self.meta['arm'] = '' # str -- ie VIS -- Name of the spectrograph arm used to collect the data + self.meta['datasec'] = dict(ext=0, card='DATASEC') # str -- ie [1:256,1:512] -- The science region of the detector + self.meta['detector'] = '' # str -- ie CHIP1 -- Name of the detector + self.meta['dichroic'] = '' # str -- ie 560 -- Name of the dichroic + self.meta['filter1'] = dict(ext=0, card='FILTER') # str -- ie J -- Name of the order-sorting filter + self.meta['mjd'] = float(dict(ext=0, card='JD')) - 2400000.5 self.meta['exptime'] = dict(ext=0, card='EXPTIME') self.meta['airmass'] = dict(ext=0, card='AIRMASS') + # Extras for config and frametyping # in an example of what this code generates, see https://pypeit.readthedocs.io/en/latest/pypeit_file.html#pypeit-file - ## on that note, 'dispname' is showing 600/4310 and that makes no sense to me - ## okay apparently according to https://watermark.silverchair.com/360-4-1281.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAAuYwggLiBgkqhkiG9w0BBwagggLTMIICzwIBADCCAsgGCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQMYDY3odQx18n61h_OAgEQgIICmRDa6yhMHVq4rhm9vxfUOxJJk38Ppwr37LtGSH08YK5TV_Y3sUaRQ6Pd_CRDP4HpCy0UBoRIEvJMaW77Tnq1k45akgXw26T5D-SsWWWX8v3JYjgD5wJRzcM_lbQOgljRuBgffDixM-kc4kFvlzAUGdPfSAKT-0kYp9Bj3X6SX2QUKJabemNm3kuApMDpgOQYj1_JXDxH1FAzqUco3abNAJSJwXp33t8vhNaK3hTI_CO0X66ul6PYx2aGEs1MG2AFLT0rnPt_Q1NSoXnGhRV4AJVMXJF58I7oZ_0bLuN_P-e87J9VNA1JBp9CNJzqYN9Rz0TOHEDhmC05NTYmfNpbbZUW6R4x9u6s8cQiaK0J5C6m_DtZgxokt5Rg7fSEtOZFzD42i-B1Aln4BqX57o423Uhi1QkYGfk5eeReq-fKRFEy-vrsuEiAPYhLE045xQR_OiaKeQkeQEMxumZcDA4FPLHcF9W_cIBc9-Qr24h-xdKXYpkCg994hOcdOzMvJon9nAFJyyW6CAENtDDmFewW9-Ht3EwPYCR0Remb3SuddgZPCxBXoijUcjf7YPw9PRqRLEJ26K0ag10B_eAgwjkcEAwThhHGDp9EkkB8cmlwjca5uPOlfrZ_lqen0y-UC-8wMh4bdcvqUCmsMg3GoPC4q8CVgTPdPvXOhROgyCSbJi_J53RZD8CkE1K7K9dfDN7UsFPwhb31qWOw1FoG5dAv4xWUJZG_zOe503hFhWvql8J9Go2J1IcdZXIA1eRBueW7GF9SffIp0YQddpg4e8oAwiMKD3Tqed0--lZ2Oqx6fbbubfuo5ppFTDZi83VrlRbxdPU-blJYdYJDSDH5DoQ6xQZ6QBOwU0M95TkmiNb7LgJWz5k6pdDCbDqu - ## it is Grism/grating (lines mm^-1 / blaze), whatever that means - #self.meta['dispname'] = 'Diffraction Grating' - self.meta['dispname'] = '1200/5000' ## check on how this needs to be formatted + self.meta['dispname'] = '1200/5100' # str -- ie 830G -- Name of the dispersing element + self.meta['dispangle'] = 5100.0 # float -- ie 7500.0 -- Central wavelength for the dispersing element at the observed angle self.meta['idname'] = dict(ext=0, card='IMAGETYP') + # Lamps self.meta['lampstat01'] = dict(ext=0, card='LAMPS') self.meta['instrument'] = dict(ext=0, card='INSTRUME') @@ -188,6 +195,9 @@ def configuration_keys(self): object. """ return ['dispname', 'decker', 'binning'] + ## since there is no 'decker' card, maybe replace this with a different parameter + ## return ['dispname', 'dispangle', 'binning'] + ## for why 'dispangle' was chosen, see https://pypeit.readthedocs.io/en/latest/setup.html?highlight=decker#overview def pypeit_file_keys(self): """ @@ -225,6 +235,93 @@ def check_frame_type(self, ftype, fitstbl, exprng=None): if ftype == 'bias': return good_exp & (fitstbl['imagetyp'] == 'zero') if ftype in ['arc','tilt']: - return good_exp & np.array([ilamp in ['Ar','Xe'] for ilamp in fitstbl['lampstat01']]) & (fitstbl['idname'] == 'COMP') + return good_exp & np.array([ilamp in ['Ar','Xe', 'Ne'] for ilamp in fitstbl['lampstat01']]) & (fitstbl['idname'] == 'COMP') msgs.warn('Cannot determine if frames are of type {0}.'.format(ftype)) return np.zeros(len(fitstbl), dtype=bool) + + def bpm(self, filename, det, shape=None, msbias=None): + """ + Generate a default bad-pixel mask. + + Even though they are both optional, either the precise shape for + the image (``shape``) or an example file that can be read to get + the shape (``filename`` using :func:`get_image_shape`) *must* be + provided. + + Args: + filename (:obj:`str` or None): + An example file to use to get the image shape. + det (:obj:`int`): + 1-indexed detector number to use when getting the image + shape from the example file. + shape (tuple, optional): + Processed image shape + Required if filename is None + Ignored if filename is not None + msbias (`numpy.ndarray`_, optional): + Master bias frame used to identify bad pixels + + Returns: + `numpy.ndarray`_: An integer array with a masked value set + to 1 and an unmasked value set to 0. All values are set to + 0. + """ + # Validate the entered (list of) detector(s) + nimg, _det = self.validate_det(det) + _det = list(_det) + + # Call the base-class method to generate the empty bpm + bpm_img = super().bpm(filename, det, shape=shape, msbias=msbias) + # NOTE: expand_dims does *not* copy the array. We can edit it directly + # because we've created it inside this function. + _bpm_img = np.expand_dims(bpm_img, 0) if nimg == 1 else bpm_img + + if 1 in _det: + i = _det.index(1) + _bpm_img[i,:,1052:1054] = 1 + if 2 in _det: + i = _det.index(2) + _bpm_img[i,:,0:4] = 1 + _bpm_img[i,:,376:381] = 1 + _bpm_img[i,:,489] = 1 + _bpm_img[i,:,1333:1335] = 1 + _bpm_img[i,:,2047] = 1 + if 3 in _det: + i = _det.index(3) + _bpm_img[i,:,0:4] = 1 + _bpm_img[i,:,221] = 1 + _bpm_img[i,:,260] = 1 + _bpm_img[i,:,366] = 1 + _bpm_img[i,:,816:819] = 1 + _bpm_img[i,:,851] = 1 + _bpm_img[i,:,940] = 1 + _bpm_img[i,:,1167] = 1 + _bpm_img[i,:,1280] = 1 + _bpm_img[i,:,1301:1303] = 1 + _bpm_img[i,:,1744:1747] = 1 + _bpm_img[i,:,-4:] = 1 + if 4 in _det: + i = _det.index(4) + _bpm_img[i,:,0:4] = 1 + _bpm_img[i,:,47] = 1 + _bpm_img[i,:,744] = 1 + _bpm_img[i,:,790:792] = 1 + _bpm_img[i,:,997:999] = 1 + if 5 in _det: + i = _det.index(5) + _bpm_img[i,:,25:27] = 1 + _bpm_img[i,:,128:130] = 1 + _bpm_img[i,:,1535:1539] = 1 + if 7 in _det: + i = _det.index(7) + _bpm_img[i,:,426:428] = 1 + _bpm_img[i,:,676] = 1 + _bpm_img[i,:,1176:1178] = 1 + if 8 in _det: + i = _det.index(8) + _bpm_img[i,:,440] = 1 + _bpm_img[i,:,509:513] = 1 + _bpm_img[i,:,806] = 1 + _bpm_img[i,:,931:934] = 1 + + return _bpm_img[0] if nimg == 1 else _bpm_img From 14329f98837ae256d4bf978f0ab47ed0755030c6 Mon Sep 17 00:00:00 2001 From: hnmartin <106616476+hnmartin@users.noreply.github.com> Date: Mon, 20 Jun 2022 17:03:48 -0500 Subject: [PATCH 008/610] Brought to point where can pypeit_view_fits Defined what different fits are in code --- pypeit/spectrographs/mdm_modspec.py | 16 +++++++++++----- 1 file changed, 11 insertions(+), 5 deletions(-) diff --git a/pypeit/spectrographs/mdm_modspec.py b/pypeit/spectrographs/mdm_modspec.py index ffe7700013..5fc3e62ffa 100644 --- a/pypeit/spectrographs/mdm_modspec.py +++ b/pypeit/spectrographs/mdm_modspec.py @@ -144,7 +144,7 @@ def init_meta(self): self.meta['dichroic'] = '' # str -- ie 560 -- Name of the dichroic self.meta['filter1'] = dict(ext=0, card='FILTER') # str -- ie J -- Name of the order-sorting filter - self.meta['mjd'] = float(dict(ext=0, card='JD')) - 2400000.5 + self.meta['mjd'] = dict(card=None, compound=True) self.meta['exptime'] = dict(ext=0, card='EXPTIME') self.meta['airmass'] = dict(ext=0, card='AIRMASS') @@ -177,6 +177,8 @@ def compound_meta(self, headarr, meta_key): binspatial = headarr[0]['CCDBIN1'] binspec = headarr[0]['CCDBIN2'] return parse.binning2string(binspec, binspatial) + if meta_key == 'mjd': + return float(headarr['JD']) - 2400000.5 else: msgs.error("Not ready for this compound meta") @@ -220,6 +222,8 @@ def check_frame_type(self, ftype, fitstbl, exprng=None): frame-type :ref:`frame_type_defs`. fitstbl (`astropy.table.Table`_): The table with the metadata for one or more frames to check. + This table uses the Pypeit-specific metadata keywords, as defined + under def init_meta(self). exprng (:obj:`list`, optional): Range in the allowed exposure time for a frame of type ``ftype``. See @@ -231,14 +235,16 @@ def check_frame_type(self, ftype, fitstbl, exprng=None): """ good_exp = framematch.check_frame_exptime(fitstbl['exptime'], exprng) if ftype in ['science', 'standard']: - return good_exp & (fitstbl['imagetyp'] == 'OBJECT') + return good_exp & (fitstbl['idname'] == 'Object') if ftype == 'bias': - return good_exp & (fitstbl['imagetyp'] == 'zero') - if ftype in ['arc','tilt']: - return good_exp & np.array([ilamp in ['Ar','Xe', 'Ne'] for ilamp in fitstbl['lampstat01']]) & (fitstbl['idname'] == 'COMP') + return good_exp & (fitstbl['idname'] == 'Bias') + if ftype == 'arc': + return good_exp & ('Ar' or 'Xe' or 'Ne' in fitstbl['lampstat01']) & ('Arc' or 'arc' in fitstbl['idname'] or fitstbl['target']) msgs.warn('Cannot determine if frames are of type {0}.'.format(ftype)) return np.zeros(len(fitstbl), dtype=bool) + + def bpm(self, filename, det, shape=None, msbias=None): """ Generate a default bad-pixel mask. From 9fd95aeec1d48568f7116626533f890e121222de Mon Sep 17 00:00:00 2001 From: hnmartin <106616476+hnmartin@users.noreply.github.com> Date: Tue, 21 Jun 2022 12:17:00 -0500 Subject: [PATCH 009/610] Able to run pypeit_setup (with some bugs) Shifted all the header metadata with fixed values (ie if 'dispname' which is the name of the dispersing element is always the same / doesn't exist in the header) from the function that maps the header names to the pypeit-specific metadata keywords to the function that defines the values of cards that either don't exist in the header OR exist such that we cannot just hand it over to Pypeit as-is. Fixed (to an extent) the query that asks "Is this frame an arc?", to where the pypeit_setup command will RUN; however, the command cannot actually IDENTIFY any arcs, which is the whole purpose of the "Is this frame an arc?" query. Alas. The check_frrame_type function (or whatever it is called) cannot identify flats, either. SO next time, go through the raw data's headers and change all the ones with 'OBJECT' = '....... Arc' to 'IMAGETYP' = 'Comp ' (Aka the shift arcs) Then see how to better define the flats --- pypeit/spectrographs/mdm_modspec.py | 25 ++++++++++++++++--------- 1 file changed, 16 insertions(+), 9 deletions(-) diff --git a/pypeit/spectrographs/mdm_modspec.py b/pypeit/spectrographs/mdm_modspec.py index 5fc3e62ffa..51863fceb9 100644 --- a/pypeit/spectrographs/mdm_modspec.py +++ b/pypeit/spectrographs/mdm_modspec.py @@ -3,6 +3,7 @@ .. include:: ../include/links.rst """ +import array as arr import numpy as np from pypeit import msgs @@ -20,7 +21,7 @@ class MDMModspecEchelleSpectrograph(spectrograph.Spectrograph): name = 'mdm_modspec_echelle' telescope = telescopes.KPNOTelescopePar() camera = 'Echelle' - header_name = 'ModSpec' + header_name = 'Modspec' pypeline = 'MultiSlit' supported = True comment = 'MDM Modspec spectrometer' @@ -134,14 +135,14 @@ def init_meta(self): self.meta['ra'] = dict(ext=0, card='RA') self.meta['dec'] = dict(ext=0, card='DEC') self.meta['target'] = dict(ext=0, card='OBJECT') - self.meta['decker'] = dict(card=None) # str -- ie long_1.0 -- Name of the decker or slit mask + self.meta['decker'] = dict(card=None, compound=True) # str -- ie long_1.0 -- Name of the decker or slit mask self.meta['binning'] = dict(card=None, compound=True) - self.meta['amp'] = '' # str -- ie SINGLE:B -- Name of the amplifier used to read the detector - self.meta['arm'] = '' # str -- ie VIS -- Name of the spectrograph arm used to collect the data + ##self.meta['amp'] = '' # str -- ie SINGLE:B -- Name of the amplifier used to read the detector + ##self.meta['arm'] = '' # str -- ie VIS -- Name of the spectrograph arm used to collect the data self.meta['datasec'] = dict(ext=0, card='DATASEC') # str -- ie [1:256,1:512] -- The science region of the detector - self.meta['detector'] = '' # str -- ie CHIP1 -- Name of the detector - self.meta['dichroic'] = '' # str -- ie 560 -- Name of the dichroic + ##self.meta['detector'] = '' # str -- ie CHIP1 -- Name of the detector + ##self.meta['dichroic'] = '' # str -- ie 560 -- Name of the dichroic self.meta['filter1'] = dict(ext=0, card='FILTER') # str -- ie J -- Name of the order-sorting filter self.meta['mjd'] = dict(card=None, compound=True) @@ -150,8 +151,8 @@ def init_meta(self): # Extras for config and frametyping # in an example of what this code generates, see https://pypeit.readthedocs.io/en/latest/pypeit_file.html#pypeit-file - self.meta['dispname'] = '1200/5100' # str -- ie 830G -- Name of the dispersing element - self.meta['dispangle'] = 5100.0 # float -- ie 7500.0 -- Central wavelength for the dispersing element at the observed angle + self.meta['dispname'] = dict(card=None, compound=True) # str -- ie 830G -- Name of the dispersing element + self.meta['dispangle'] = dict(card=None, compound=True) # float -- ie 7500.0 -- Central wavelength for the dispersing element at the observed angle self.meta['idname'] = dict(ext=0, card='IMAGETYP') # Lamps @@ -179,6 +180,12 @@ def compound_meta(self, headarr, meta_key): return parse.binning2string(binspec, binspatial) if meta_key == 'mjd': return float(headarr['JD']) - 2400000.5 + if meta_key == 'decker': + return 'none' + if meta_key == 'dispname': + return '1200/5100' + if meta_key == 'dispangle': + return 5100.0 else: msgs.error("Not ready for this compound meta") @@ -239,7 +246,7 @@ def check_frame_type(self, ftype, fitstbl, exprng=None): if ftype == 'bias': return good_exp & (fitstbl['idname'] == 'Bias') if ftype == 'arc': - return good_exp & ('Ar' or 'Xe' or 'Ne' in fitstbl['lampstat01']) & ('Arc' or 'arc' in fitstbl['idname'] or fitstbl['target']) + return good_exp & (fitstbl['lampstat01'] == any(['Ar', 'Xe', 'Ne']) and any(['Comp', 'Arc', 'arc']) in any([fitstbl['idname'], fitstbl['target']])) msgs.warn('Cannot determine if frames are of type {0}.'.format(ftype)) return np.zeros(len(fitstbl), dtype=bool) From f8df4260d2bd63b5dacdac50676bad2edba8bc33 Mon Sep 17 00:00:00 2001 From: hnmartin <106616476+hnmartin@users.noreply.github.com> Date: Thu, 23 Jun 2022 12:07:50 -0500 Subject: [PATCH 010/610] Can ID flats, show time; generally, metadata can be roughly generated time is passed along in MJD format as a time object from the original header defined tilts, pixelflats, illumflats, traces. Next time: test run_pypeit or pypeit_run (whichever it is) with the mdm_osmos data to see if the reduction and then run even works --- pypeit/spectrographs/mdm_modspec.py | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/pypeit/spectrographs/mdm_modspec.py b/pypeit/spectrographs/mdm_modspec.py index 51863fceb9..27c22f60ed 100644 --- a/pypeit/spectrographs/mdm_modspec.py +++ b/pypeit/spectrographs/mdm_modspec.py @@ -179,7 +179,7 @@ def compound_meta(self, headarr, meta_key): binspec = headarr[0]['CCDBIN2'] return parse.binning2string(binspec, binspatial) if meta_key == 'mjd': - return float(headarr['JD']) - 2400000.5 + return parse.Time(headarr[0]['JD'], format='jd').mjd if meta_key == 'decker': return 'none' if meta_key == 'dispname': @@ -245,9 +245,14 @@ def check_frame_type(self, ftype, fitstbl, exprng=None): return good_exp & (fitstbl['idname'] == 'Object') if ftype == 'bias': return good_exp & (fitstbl['idname'] == 'Bias') - if ftype == 'arc': - return good_exp & (fitstbl['lampstat01'] == any(['Ar', 'Xe', 'Ne']) and any(['Comp', 'Arc', 'arc']) in any([fitstbl['idname'], fitstbl['target']])) + if ftype in ['arc', 'tilt']: + return good_exp & (fitstbl['idname'] == 'Comp') + if ftype in ['pixelflat']: + return good_exp & (fitstbl['target'] == 'Internal Flat') + if ftype in ['illumflat', 'trace']: + return good_exp & (fitstbl['target'] == 'Twilight Flat') msgs.warn('Cannot determine if frames are of type {0}.'.format(ftype)) + #msgs.warn('Cannot determine if frames are of type {0}. Frame idname and target are: {1}, {2}'.format(ftype, fitstbl['idname'], fitstbl['target'])) return np.zeros(len(fitstbl), dtype=bool) From 9db3350d382f0eb6753bcc8498e341fe522fdf95 Mon Sep 17 00:00:00 2001 From: hnmartin <106616476+hnmartin@users.noreply.github.com> Date: Tue, 28 Jun 2022 12:06:54 -0500 Subject: [PATCH 011/610] fixed edgetrace issue: MODSPEC edges of slit fell off detector, now assign edges of detector as edges of slit --- pypeit/spectrographs/mdm_modspec.py | 13 +++++++++---- 1 file changed, 9 insertions(+), 4 deletions(-) diff --git a/pypeit/spectrographs/mdm_modspec.py b/pypeit/spectrographs/mdm_modspec.py index 27c22f60ed..9058f42d58 100644 --- a/pypeit/spectrographs/mdm_modspec.py +++ b/pypeit/spectrographs/mdm_modspec.py @@ -97,6 +97,8 @@ def default_pypeit_par(cls): # Ignore PCA par['calibrations']['slitedges']['sync_predict'] = 'nearest' + # Edges of slit fall off the detector, so assign the edges of the detector as the edges of the slit + par['calibrations']['slitedges']['bound_detector'] = True # Set pixel flat combination method par['calibrations']['pixelflatframe']['process']['combine'] = 'mean' @@ -159,6 +161,9 @@ def init_meta(self): self.meta['lampstat01'] = dict(ext=0, card='LAMPS') self.meta['instrument'] = dict(ext=0, card='INSTRUME') + # Mirror + self.meta['mirror'] = dict(ext=0, card='MIRROR') + def compound_meta(self, headarr, meta_key): """ Methods to generate metadata requiring interpretation of the header @@ -247,10 +252,10 @@ def check_frame_type(self, ftype, fitstbl, exprng=None): return good_exp & (fitstbl['idname'] == 'Bias') if ftype in ['arc', 'tilt']: return good_exp & (fitstbl['idname'] == 'Comp') - if ftype in ['pixelflat']: - return good_exp & (fitstbl['target'] == 'Internal Flat') - if ftype in ['illumflat', 'trace']: - return good_exp & (fitstbl['target'] == 'Twilight Flat') + if ftype in ['pixelflat']: #Internal Flats + return good_exp & (fitstbl['idname'] == 'Flat') & (fitstbl['mirror'] == 'IN') + if ftype in ['illumflat', 'trace']: #Twilight Flats + return good_exp & (fitstbl['idname'] == 'Flat') & (fitstbl['mirror'] == 'OUT') msgs.warn('Cannot determine if frames are of type {0}.'.format(ftype)) #msgs.warn('Cannot determine if frames are of type {0}. Frame idname and target are: {1}, {2}'.format(ftype, fitstbl['idname'], fitstbl['target'])) return np.zeros(len(fitstbl), dtype=bool) From 368a38e0f3d613d4e83f664b9e9de9936c734ac1 Mon Sep 17 00:00:00 2001 From: hnmartin <106616476+hnmartin@users.noreply.github.com> Date: Tue, 28 Jun 2022 12:07:46 -0500 Subject: [PATCH 012/610] OSMOS: Differentiating twilights and internal flats Had to add a new metadata value 'mirrors' to do so --- pypeit/spectrographs/mdm_osmos.py | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/pypeit/spectrographs/mdm_osmos.py b/pypeit/spectrographs/mdm_osmos.py index c362394ad5..8d8b1cc3e7 100644 --- a/pypeit/spectrographs/mdm_osmos.py +++ b/pypeit/spectrographs/mdm_osmos.py @@ -123,6 +123,8 @@ def init_meta(self): # Lamps self.meta['lampstat01'] = dict(ext=0, card='LAMPS') self.meta['instrument'] = dict(ext=0, card='INSTRUME') + # Mirror + self.meta['mirror'] = dict(ext=0, card='MIRROR') def compound_meta(self, headarr, meta_key): """ @@ -195,9 +197,13 @@ def check_frame_type(self, ftype, fitstbl, exprng=None): if ftype in ['science', 'standard']: return good_exp & (fitstbl['idname'] == 'OBJECT') if ftype == 'bias': - return good_exp & (fitstbl['idname'] == 'zero') - if ftype in ['pixelflat', 'trace']: - return good_exp & (fitstbl['lampstat01'] == 'Flat') & (fitstbl['idname'] == 'FLAT') + return good_exp & (fitstbl['idname'] == 'Bias') + ####return good_exp & (fitstbl['idname'] == 'zero') + if ftype == 'pixelflat': #Internal Flats + return good_exp & (fitstbl['lampstat01'] == 'Flat') & (fitstbl['idname'] == 'FLAT') & (fitstbl['mirror'] == 'IN') + if ftype in ['trace', 'illumflat']: #Twilight Flats + return good_exp & (fitstbl['idname'] == 'FLAT') & (fitstbl['mirror'] == 'OUT') + if ftype in ['pinhole', 'dark']: # Don't type pinhole or dark frames return np.zeros(len(fitstbl), dtype=bool) From 5d6ea63ea9d170128b93fff90b1130c6f06155da Mon Sep 17 00:00:00 2001 From: hnmartin <106616476+hnmartin@users.noreply.github.com> Date: Tue, 28 Jun 2022 12:08:16 -0500 Subject: [PATCH 013/610] CORE: Added new metadata card 'mirror' Now can use to define frametypes --- pypeit/core/meta.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/pypeit/core/meta.py b/pypeit/core/meta.py index 9ce5fa446f..65fc31826e 100644 --- a/pypeit/core/meta.py +++ b/pypeit/core/meta.py @@ -149,7 +149,8 @@ def define_additional_meta(nlamps=20): 'seq_expno': dict(dtype=int, comment='Number of exposure in observing sequence'), 'slitwid': dict(dtype=float, comment='Slit width, sometimes distinct from decker'), 'temperature': dict(dtype=float, comment='Temperature (units.K) at observation time'), - 'utc': dict(dtype=str, comment='UTC of observation')} + 'utc': dict(dtype=str, comment='UTC of observation'), + 'mirror': dict(dtype=str, comment='Position of the mirror (e.g. IN or OUT)')} for kk in range(nlamps): additional_meta['lampstat{:02d}'.format(kk+1)] \ From 31bb5e299cbb57bad8f3624787e096f6d6163c9e Mon Sep 17 00:00:00 2001 From: Gregory Simonian Date: Tue, 28 Jun 2022 13:23:47 -0500 Subject: [PATCH 014/610] Added Modspec to spectrographs file. --- pypeit/spectrographs/__init__.py | 1 + 1 file changed, 1 insertion(+) diff --git a/pypeit/spectrographs/__init__.py b/pypeit/spectrographs/__init__.py index 65a66a4a2e..d64008a92d 100644 --- a/pypeit/spectrographs/__init__.py +++ b/pypeit/spectrographs/__init__.py @@ -20,6 +20,7 @@ from pypeit.spectrographs import ldt_deveny from pypeit.spectrographs import magellan_fire from pypeit.spectrographs import magellan_mage +from pypeit.spectrographs import mdm_modspec from pypeit.spectrographs import mdm_osmos from pypeit.spectrographs import mmt_binospec from pypeit.spectrographs import mmt_bluechannel From 8e9ec66bd198bb189d71c12da1aabc956e794dbc Mon Sep 17 00:00:00 2001 From: hnmartin <106616476+hnmartin@users.noreply.github.com> Date: Fri, 15 Jul 2022 10:35:09 -0500 Subject: [PATCH 015/610] fixed axis problems changed len1 and len2 so data is read in properly --- pypeit/spectrographs/mdm_modspec.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/pypeit/spectrographs/mdm_modspec.py b/pypeit/spectrographs/mdm_modspec.py index 9058f42d58..de0b9a14c4 100644 --- a/pypeit/spectrographs/mdm_modspec.py +++ b/pypeit/spectrographs/mdm_modspec.py @@ -45,8 +45,8 @@ def get_detector_par(self, det, hdu=None): # See Echelle at 2.4m f/7.5 scale : http://mdm.kpno.noirlab.edu/mdm-ccds.html gain = np.atleast_1d([1.3]) # Hardcoded in the header ronoise = np.atleast_1d([7.90]) # Hardcoded in the header - len1 = hdu[0].header['NAXIS1'] - len2 = hdu[0].header['NAXIS2'] + len2 = hdu[0].header['NAXIS1'] ## switched with len1 + len1 = hdu[0].header['NAXIS2'] ## switched with len2 datasec = np.atleast_1d([ '[{0:d}:{1:d},{2:d}:{3:d}]'.format(1+5, len1-5, 1, len2)]) @@ -66,7 +66,7 @@ def get_detector_par(self, det, hdu=None): det = 1, dataext = 0, specaxis = 0, # Native spectrum is along the x-axis - specflip = True, # DeVeny CCD has blue at the right + specflip = False, ## ADD COMMENT spatflip = False, platescale = 0.28, # Arcsec / pixel darkcurr = 0.0, # Electrons per hour @@ -110,7 +110,7 @@ def default_pypeit_par(cls): # Wavelength calibration methods par['calibrations']['wavelengths']['method'] = 'full_template' #more reliable than 'holy-grail', but requires an archived wavelength solution for the specific instrument/grating combination. See https://pypeit.readthedocs.io/en/latest/pypeit_par.html#wavelengthsolutionpar-keywords, also https://pypeit.readthedocs.io/en/latest/wave_calib.html#identify and https://pypeit.readthedocs.io/en/latest/master_edges.html and https://pypeit.readthedocs.io/en/latest/master_arc.html par['calibrations']['wavelengths']['lamps'] = ['ArI', 'XeI', 'NeI'] - par['calibrations']['wavelengths']['reid_arxiv'] = 'mdm_modspec.fits' #abovementioned archived wavelength solution; need one for Echelle / Modspec + par['calibrations']['wavelengths']['reid_arxiv'] = 'wvarxiv_mdm_modspec_echelle_20220714T1118.fits' # this is an example; this is based only on Xenon and the minimum files needed to run ###|||||| do this one below ||||||### par['calibrations']['wavelengths']['sigdetect'] = 5.0 #Sigma threshold above fluctuations for arc-line detection @@ -119,6 +119,8 @@ def default_pypeit_par(cls): par['calibrations']['darkframe']['exprng'] = [999999, None] # No dark frames par['calibrations']['pinholeframe']['exprng'] = [999999, None] # No pinhole frames par['calibrations']['arcframe']['exprng'] = [None, None] # Long arc exposures on this telescope + par['calibrations']['arcframe']['process']['clip'] = False + par['calibrations']['arcframe']['process']['subtract_continuum'] = True par['calibrations']['standardframe']['exprng'] = [10, 60] par['scienceframe']['exprng'] = [120, 600] From 23b33b807892357c81a2a67557a47f23f47ec5a7 Mon Sep 17 00:00:00 2001 From: hnmartin <106616476+hnmartin@users.noreply.github.com> Date: Mon, 18 Jul 2022 10:11:27 -0500 Subject: [PATCH 016/610] changed wavelength method using holy grail now to generate template --- pypeit/spectrographs/mdm_modspec.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/pypeit/spectrographs/mdm_modspec.py b/pypeit/spectrographs/mdm_modspec.py index de0b9a14c4..17d9c2f7b4 100644 --- a/pypeit/spectrographs/mdm_modspec.py +++ b/pypeit/spectrographs/mdm_modspec.py @@ -108,7 +108,7 @@ def default_pypeit_par(cls): par['calibrations']['pixelflatframe']['process']['use_overscan'] = False # Wavelength calibration methods - par['calibrations']['wavelengths']['method'] = 'full_template' #more reliable than 'holy-grail', but requires an archived wavelength solution for the specific instrument/grating combination. See https://pypeit.readthedocs.io/en/latest/pypeit_par.html#wavelengthsolutionpar-keywords, also https://pypeit.readthedocs.io/en/latest/wave_calib.html#identify and https://pypeit.readthedocs.io/en/latest/master_edges.html and https://pypeit.readthedocs.io/en/latest/master_arc.html + par['calibrations']['wavelengths']['method'] = 'holy-grail' #more reliable than 'holy-grail', but requires an archived wavelength solution for the specific instrument/grating combination. See https://pypeit.readthedocs.io/en/latest/pypeit_par.html#wavelengthsolutionpar-keywords, also https://pypeit.readthedocs.io/en/latest/wave_calib.html#identify and https://pypeit.readthedocs.io/en/latest/master_edges.html and https://pypeit.readthedocs.io/en/latest/master_arc.html par['calibrations']['wavelengths']['lamps'] = ['ArI', 'XeI', 'NeI'] par['calibrations']['wavelengths']['reid_arxiv'] = 'wvarxiv_mdm_modspec_echelle_20220714T1118.fits' # this is an example; this is based only on Xenon and the minimum files needed to run ###|||||| do this one below ||||||### @@ -119,8 +119,8 @@ def default_pypeit_par(cls): par['calibrations']['darkframe']['exprng'] = [999999, None] # No dark frames par['calibrations']['pinholeframe']['exprng'] = [999999, None] # No pinhole frames par['calibrations']['arcframe']['exprng'] = [None, None] # Long arc exposures on this telescope - par['calibrations']['arcframe']['process']['clip'] = False - par['calibrations']['arcframe']['process']['subtract_continuum'] = True + ## par['calibrations']['arcframe']['process']['clip'] = False + ## par['calibrations']['arcframe']['process']['subtract_continuum'] = True par['calibrations']['standardframe']['exprng'] = [10, 60] par['scienceframe']['exprng'] = [120, 600] From a9209895dc46d8911066833660545a9bea173879 Mon Sep 17 00:00:00 2001 From: hnmartin <106616476+hnmartin@users.noreply.github.com> Date: Wed, 20 Jul 2022 12:18:09 -0500 Subject: [PATCH 017/610] wavelength template and solutions added template for wavelength solution for mdm_modspec_echelle used MasterWaveCalib.fits files generated using the holy grail method for Xe, Ne, Ar (one arc per MasterWaveCalib.fits file) to do so changed main mdm_modspec.py file to use full_template to solve (uses the wavelength template generated above) --- .../templ_mdm_modspec_echelle.py | 45 ++++++++++++++++++ .../mdm_modspec_echelle_NeXeAr.fits | Bin 0 -> 34560 bytes pypeit/spectrographs/mdm_modspec.py | 17 +++---- 3 files changed, 54 insertions(+), 8 deletions(-) create mode 100644 pypeit/core/wavecal/spectrographs/templ_mdm_modspec_echelle.py create mode 100644 pypeit/data/arc_lines/reid_arxiv/mdm_modspec_echelle_NeXeAr.fits diff --git a/pypeit/core/wavecal/spectrographs/templ_mdm_modspec_echelle.py b/pypeit/core/wavecal/spectrographs/templ_mdm_modspec_echelle.py new file mode 100644 index 0000000000..a66097af81 --- /dev/null +++ b/pypeit/core/wavecal/spectrographs/templ_mdm_modspec_echelle.py @@ -0,0 +1,45 @@ +""" Generate the wavelength templates for MDM/Modspec """ + +import os + +from pypeit.core.wavecal import templates +import numpy as np + +def mdm_modspec_echelle(overwrite=True): + """mdm_modspec_echelle Template from the 1200/5100 grism [INSERT UNITS HERE] + + Args: + overwrite: bool, optional + Overwrite the existing file? [Default: False] + """ + + binspec = 1 + outroot = 'mdm_modspec_echelle_NeXeAr.fits' + + # PypeIt fits + ##IF could find dev files/folder system, would set up properly and somewhat like this: + ## wpath = os.path.join(templates.template_path, 'mdm_modspec_echelle') + ##basefiles = ['MasterWaveCalib_ArI_5100.fits','MasterWaveCalib_NeI_5100.fits','MasterWaveCalib_XeI_5100.fits'] + ##wfiles = [os.path.join(wpath, basefile) for basefile in basefiles] + + ##but since I cannot find them, for now: + filePath = r'C:\Users\thela\Desktop\coolege\Fall2022\upTo\Summer\Space_ze_Final_Frontier\python_scripts\testingSite\folderForReductionTest\testHolyGrail5\__template' + basefiles = ['MasterWaveCalib_ArI_5100.fits','MasterWaveCalib_NeI_5100.fits','MasterWaveCalib_XeI_5100.fits'] + wfiles = [os.path.join(filePath, basefile) for basefile in basefiles] ## these are the MasterWaveCalib files + + # Snippets + slits = [150] ## I THINK they want the spatial id --> NO they want "slits in the archive files to use" ... but we have no archived files. the wfiles?? --> try it + wv_cuts = [] + assert len(wv_cuts) == len(slits)-1 + + + templates.build_template(wfiles, slits, wv_cuts, binspec, outroot, + det_cut=None, chk=True, + normalize=True, lowredux=False, + subtract_conti=True, overwrite=overwrite, + shift_wave=True) + + +if __name__ == '__main__': + mdm_modspec_echelle(overwrite=True) + diff --git a/pypeit/data/arc_lines/reid_arxiv/mdm_modspec_echelle_NeXeAr.fits b/pypeit/data/arc_lines/reid_arxiv/mdm_modspec_echelle_NeXeAr.fits new file mode 100644 index 0000000000000000000000000000000000000000..03af6986b6ae7ee6433f74836c0b7599d2210023 GIT binary patch literal 34560 zcmeFZc{G=A+c!!R8OkhU#>_GgnGW+jj}@7RGE1gZln^0`G9nd? zIzs>E;Uu(E$TvJJAUrDcpip$UkcqjIqtL-&Z^7D@N7K)CK@c;K#{(9F&-_6{SdiihtQ=sgH9SZgFj}i(G_#c+{hx&&d+#eox z@Gm3(>6x*cld+A_e__w*KMnkEKK-Y$|K`}ghy5Laza#K>1pbb|-x2sb0)I!~?+E<= zKLY<~CmqdgZFGbr49snu^bM?xCH~W_b_)6I5A%+S7mD`w3Go;5kBk0~=JY=e`JbQu 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zQa=9lUH^;s7A*yu#XvP1tC@fM3_5}SCTjEl)m8le{`|ks|7qZV8u*_E{-=TeY2g1w G1OEp!1B(*? literal 0 HcmV?d00001 diff --git a/pypeit/spectrographs/mdm_modspec.py b/pypeit/spectrographs/mdm_modspec.py index 7ebbb801b5..028d046224 100644 --- a/pypeit/spectrographs/mdm_modspec.py +++ b/pypeit/spectrographs/mdm_modspec.py @@ -46,14 +46,14 @@ def get_detector_par(self, det, hdu=None): # See Echelle at 2.4m f/7.5 scale : http://mdm.kpno.noirlab.edu/mdm-ccds.html gain = np.atleast_1d([1.3]) # Hardcoded in the header ronoise = np.atleast_1d([7.90]) # Hardcoded in the header - len2 = hdu[0].header['NAXIS1'] ## switched with len1 - len1 = hdu[0].header['NAXIS2'] ## switched with len2 + len1 = hdu[0].header['NAXIS1'] ## switched with len1 + len2 = hdu[0].header['NAXIS2'] ## switched with len2 datasec = np.atleast_1d([ - '[{0:d}:{1:d},{2:d}:{3:d}]'.format(1+5, len1-5, 1, len2)]) + '[{0:d}:{1:d},{2:d}:{3:d}]'.format(1, len2, 1, 300)]) oscansec = np.atleast_1d([ - '[{0:d}:{1:d},{2:d}:{3:d}]'.format(1, 1+5, 1, len2), - '[{0:d}:{1:d},{2:d}:{3:d}]'.format(len1-5, len1, 1, len2) + ## '[{0:d}:{1:d},{2:d}:{3:d}]'.format(1, 1+5, 1, len2), + '[{0:d}:{1:d},{2:d}:{3:d}]'.format(1, len2, 308, len1) ## accounts for overscan now ]) if hdu is None: binning = '1,1' # Most common use mode @@ -106,12 +106,12 @@ def default_pypeit_par(cls): par['calibrations']['pixelflatframe']['process']['clip'] = True par['calibrations']['pixelflatframe']['process']['comb_sigrej'] = 3.0 par['calibrations']['pixelflatframe']['process']['n_lohi'] = [1, 1] #[nlow, nhigh] - par['calibrations']['pixelflatframe']['process']['use_overscan'] = False + par['calibrations']['pixelflatframe']['process']['use_overscan'] = True ## maybe <<<<<< # Wavelength calibration methods - par['calibrations']['wavelengths']['method'] = 'holy-grail' #more reliable than 'holy-grail', but requires an archived wavelength solution for the specific instrument/grating combination. See https://pypeit.readthedocs.io/en/latest/pypeit_par.html#wavelengthsolutionpar-keywords, also https://pypeit.readthedocs.io/en/latest/wave_calib.html#identify and https://pypeit.readthedocs.io/en/latest/master_edges.html and https://pypeit.readthedocs.io/en/latest/master_arc.html + par['calibrations']['wavelengths']['method'] = 'full_template' #more reliable than 'holy-grail', but requires an archived wavelength solution for the specific instrument/grating combination. See https://pypeit.readthedocs.io/en/latest/pypeit_par.html#wavelengthsolutionpar-keywords, also https://pypeit.readthedocs.io/en/latest/wave_calib.html#identify and https://pypeit.readthedocs.io/en/latest/master_edges.html and https://pypeit.readthedocs.io/en/latest/master_arc.html par['calibrations']['wavelengths']['lamps'] = ['ArI', 'XeI', 'NeI'] - par['calibrations']['wavelengths']['reid_arxiv'] = 'wvarxiv_mdm_modspec_echelle_20220714T1118.fits' # this is an example; this is based only on Xenon and the minimum files needed to run + par['calibrations']['wavelengths']['reid_arxiv'] = 'mdm_modspec_echelle_NeXeAr.fits' ###|||||| do this one below ||||||### par['calibrations']['wavelengths']['sigdetect'] = 5.0 #Sigma threshold above fluctuations for arc-line detection @@ -122,6 +122,7 @@ def default_pypeit_par(cls): par['calibrations']['arcframe']['exprng'] = [None, None] # Long arc exposures on this telescope ## par['calibrations']['arcframe']['process']['clip'] = False ## par['calibrations']['arcframe']['process']['subtract_continuum'] = True + ###|||||| do the above two lines for when you attempt to construct a solution from all 3 arc lamps at once |||||| par['calibrations']['standardframe']['exprng'] = [10, 60] par['scienceframe']['exprng'] = [120, 600] From b30b6936b8d1f46455e7a316ea60186a444f8c24 Mon Sep 17 00:00:00 2001 From: hnmartin <106616476+hnmartin@users.noreply.github.com> Date: Wed, 27 Jul 2022 12:25:17 -0500 Subject: [PATCH 018/610] testing use of full_template tried a couple different wavelength solutions while running pypeit eventually was able to create a wavelength solution with pypeit_identify that used XeI, NeI, and ArI arcs. the file titled wvarxiv_mdm_modspec_echelle_20220727T1201.fits is the corresponding solution. --- .../templ_mdm_modspec_echelle.py | 14 +++++++++----- .../reid_arxiv/mdm_modspec_echelle_Ar.fits | Bin 0 -> 34560 bytes .../mdm_modspec_echelle_Ar_Only.fits | Bin 0 -> 69120 bytes .../mdm_modspec_echelle_Ar_REAL.fits | Bin 0 -> 34560 bytes .../mdm_modspec_echelle_NeXeAr.fits | Bin 34560 -> 34560 bytes ...xiv_mdm_modspec_echelle_20220727T1201.fits | Bin 0 -> 34560 bytes pypeit/spectrographs/mdm_modspec.py | 12 ++++++++---- 7 files changed, 17 insertions(+), 9 deletions(-) create mode 100644 pypeit/data/arc_lines/reid_arxiv/mdm_modspec_echelle_Ar.fits create mode 100644 pypeit/data/arc_lines/reid_arxiv/mdm_modspec_echelle_Ar_Only.fits create mode 100644 pypeit/data/arc_lines/reid_arxiv/mdm_modspec_echelle_Ar_REAL.fits create mode 100644 pypeit/data/arc_lines/reid_arxiv/wvarxiv_mdm_modspec_echelle_20220727T1201.fits diff --git a/pypeit/core/wavecal/spectrographs/templ_mdm_modspec_echelle.py b/pypeit/core/wavecal/spectrographs/templ_mdm_modspec_echelle.py index a66097af81..f50edf02a4 100644 --- a/pypeit/core/wavecal/spectrographs/templ_mdm_modspec_echelle.py +++ b/pypeit/core/wavecal/spectrographs/templ_mdm_modspec_echelle.py @@ -14,7 +14,7 @@ def mdm_modspec_echelle(overwrite=True): """ binspec = 1 - outroot = 'mdm_modspec_echelle_NeXeAr.fits' + outroot = 'mdm_modspec_echelle_Ar.fits' # PypeIt fits ##IF could find dev files/folder system, would set up properly and somewhat like this: @@ -23,12 +23,15 @@ def mdm_modspec_echelle(overwrite=True): ##wfiles = [os.path.join(wpath, basefile) for basefile in basefiles] ##but since I cannot find them, for now: - filePath = r'C:\Users\thela\Desktop\coolege\Fall2022\upTo\Summer\Space_ze_Final_Frontier\python_scripts\testingSite\folderForReductionTest\testHolyGrail5\__template' - basefiles = ['MasterWaveCalib_ArI_5100.fits','MasterWaveCalib_NeI_5100.fits','MasterWaveCalib_XeI_5100.fits'] - wfiles = [os.path.join(filePath, basefile) for basefile in basefiles] ## these are the MasterWaveCalib files + #filePath = r'C:\Users\thela\Desktop\coolege\Fall2022\upTo\Summer\Space_ze_Final_Frontier\python_scripts\testingSite\folderForReductionTest\testHolyGrail5\__template' + #basefiles = ['MasterWaveCalib_ArI_5100.fits','MasterWaveCalib_NeI_5100.fits','MasterWaveCalib_XeI_5100.fits'] + #wfiles = [os.path.join(filePath, basefile) for basefile in basefiles] ## these are the MasterWaveCalib files + + filePath = r'C:\Users\thela\Desktop\coolege\Fall2022\upTo\Summer\Space_ze_Final_Frontier\python_scripts\testingSite\folderForReductionTest\testHolyGrail6\ArI\mdm_modspec_echelle_A' + wfiles = os.path.join(filePath, 'wvcalib.fits') # Snippets - slits = [150] ## I THINK they want the spatial id --> NO they want "slits in the archive files to use" ... but we have no archived files. the wfiles?? --> try it + slits = [150] ## spatial id wv_cuts = [] assert len(wv_cuts) == len(slits)-1 @@ -39,6 +42,7 @@ def mdm_modspec_echelle(overwrite=True): subtract_conti=True, overwrite=overwrite, shift_wave=True) + if __name__ == '__main__': mdm_modspec_echelle(overwrite=True) diff --git a/pypeit/data/arc_lines/reid_arxiv/mdm_modspec_echelle_Ar.fits 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NKLq}V!2bsV{|`DWH&p-t literal 0 HcmV?d00001 diff --git a/pypeit/spectrographs/mdm_modspec.py b/pypeit/spectrographs/mdm_modspec.py index 028d046224..12e863cefc 100644 --- a/pypeit/spectrographs/mdm_modspec.py +++ b/pypeit/spectrographs/mdm_modspec.py @@ -109,19 +109,23 @@ def default_pypeit_par(cls): par['calibrations']['pixelflatframe']['process']['use_overscan'] = True ## maybe <<<<<< # Wavelength calibration methods - par['calibrations']['wavelengths']['method'] = 'full_template' #more reliable than 'holy-grail', but requires an archived wavelength solution for the specific instrument/grating combination. See https://pypeit.readthedocs.io/en/latest/pypeit_par.html#wavelengthsolutionpar-keywords, also https://pypeit.readthedocs.io/en/latest/wave_calib.html#identify and https://pypeit.readthedocs.io/en/latest/master_edges.html and https://pypeit.readthedocs.io/en/latest/master_arc.html + par['calibrations']['wavelengths']['method'] = 'holy-grail' #more reliable than 'holy-grail', but requires an archived wavelength solution for the specific instrument/grating combination. See https://pypeit.readthedocs.io/en/latest/pypeit_par.html#wavelengthsolutionpar-keywords, also https://pypeit.readthedocs.io/en/latest/wave_calib.html#identify and https://pypeit.readthedocs.io/en/latest/master_edges.html and https://pypeit.readthedocs.io/en/latest/master_arc.html par['calibrations']['wavelengths']['lamps'] = ['ArI', 'XeI', 'NeI'] - par['calibrations']['wavelengths']['reid_arxiv'] = 'mdm_modspec_echelle_NeXeAr.fits' + #par['calibrations']['wavelengths']['reid_arxiv'] = 'mdm_modspec_echelle_NeXeAr.fits' + ###par['calibrations']['wavelengths']['reid_arxiv'] = 'mdm_modspec_echelle_Ar_REAL.fits' ###|||||| do this one below ||||||### par['calibrations']['wavelengths']['sigdetect'] = 5.0 #Sigma threshold above fluctuations for arc-line detection + par['calibrations']['wavelengths']['ech_fix_format'] = False ## a TEST + par['calibrations']['wavelengths']['n_final'] = 15 # Set the default exposure time ranges for the frame typing par['calibrations']['biasframe']['exprng'] = [None, 1] par['calibrations']['darkframe']['exprng'] = [999999, None] # No dark frames par['calibrations']['pinholeframe']['exprng'] = [999999, None] # No pinhole frames par['calibrations']['arcframe']['exprng'] = [None, None] # Long arc exposures on this telescope - ## par['calibrations']['arcframe']['process']['clip'] = False - ## par['calibrations']['arcframe']['process']['subtract_continuum'] = True + par['calibrations']['arcframe']['process']['clip'] = False + par['calibrations']['arcframe']['process']['subtract_continuum'] = False + par['calibrations']['tiltframe']['process']['subtract_continuum'] = False ###|||||| do the above two lines for when you attempt to construct a solution from all 3 arc lamps at once |||||| par['calibrations']['standardframe']['exprng'] = [10, 60] par['scienceframe']['exprng'] = [120, 600] From c9305c77eb75a3cb3c82a9390288907ab0b5563f Mon Sep 17 00:00:00 2001 From: hnmartin <106616476+hnmartin@users.noreply.github.com> Date: Fri, 29 Jul 2022 10:11:55 -0500 Subject: [PATCH 019/610] debug on uncommented the debug lines while testing full_template --- pypeit/wavecalib.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pypeit/wavecalib.py b/pypeit/wavecalib.py index 7fd63583cc..4032c3a847 100644 --- a/pypeit/wavecalib.py +++ b/pypeit/wavecalib.py @@ -529,8 +529,8 @@ def build_wv_calib(self, arccen, method, skip_QA=False): final_fit = autoid.full_template(arccen, self.lamps, self.par, ok_mask_idx, self.det, self.binspectral, measured_fwhms=measured_fwhms, nonlinear_counts=self.nonlinear_counts, - nsnippet=self.par['nsnippet']) - #debug=True, debug_reid=True, debug_xcorr=True) + nsnippet=self.par['nsnippet'], + debug=True, debug_reid=True, debug_xcorr=True) ### Pypeit people said to uncomment this line else: msgs.error('Unrecognized wavelength calibration method: {:}'.format(method)) From 3884be6c06e888f9af3540504b466ae7f758a76c Mon Sep 17 00:00:00 2001 From: hnmartin <106616476+hnmartin@users.noreply.github.com> Date: Thu, 11 Aug 2022 12:05:58 -0500 Subject: [PATCH 020/610] Final changes before pull request Added documentation to index.rst and CHANGES.rst and README.md Cleaned up comments in mdm_mdospec_echelle.py Removed unnecessary template python script Renamed wavecalib.fits file to follow standards Removed old wavecalib.fits files Double checked everything listed under new_spectrograph.rst had been completed Ran unit tests --> 197 passed, 1259 warnings --- CHANGES.rst | 4 +- README.md | 1 + doc/index.rst | 3 + .../templ_mdm_modspec_echelle.py | 49 ----- .../reid_arxiv/mdm_modspec_1200_5100.fits | Bin 0 -> 34560 bytes .../reid_arxiv/mdm_modspec_echelle_Ar.fits | Bin 34560 -> 0 bytes .../mdm_modspec_echelle_Ar_Only.fits | Bin 69120 -> 0 bytes .../mdm_modspec_echelle_Ar_REAL.fits | Bin 34560 -> 0 bytes .../mdm_modspec_echelle_NeXeAr.fits | Bin 34560 -> 0 bytes ...xiv_mdm_modspec_echelle_20220727T1201.fits | Bin 34560 -> 0 bytes pypeit/par/pypeitpar.py | 2 +- pypeit/spectrographs/mdm_modspec.py | 170 ++++++------------ pypeit/telescopes.py | 13 +- pypeit/wavecalib.py | 4 +- pypeit/wavetilts.py | 6 +- 15 files changed, 81 insertions(+), 171 deletions(-) delete mode 100644 pypeit/core/wavecal/spectrographs/templ_mdm_modspec_echelle.py create mode 100644 pypeit/data/arc_lines/reid_arxiv/mdm_modspec_1200_5100.fits delete mode 100644 pypeit/data/arc_lines/reid_arxiv/mdm_modspec_echelle_Ar.fits delete mode 100644 pypeit/data/arc_lines/reid_arxiv/mdm_modspec_echelle_Ar_Only.fits delete mode 100644 pypeit/data/arc_lines/reid_arxiv/mdm_modspec_echelle_Ar_REAL.fits delete mode 100644 pypeit/data/arc_lines/reid_arxiv/mdm_modspec_echelle_NeXeAr.fits delete mode 100644 pypeit/data/arc_lines/reid_arxiv/wvarxiv_mdm_modspec_echelle_20220727T1201.fits diff --git a/CHANGES.rst b/CHANGES.rst index 40070378f3..f4627e265d 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -1,6 +1,6 @@ 1.9.2dev -------- - +- Add MDM/Modspec spectrograph - Modify tweak_standard for Mosfire/J2 - Apply find_min_max when clipping the image for object finding - Mask bad detector regions for global sky flexure calculation @@ -1408,7 +1408,7 @@ - Other odds and ends including code flow doc - Introduce pypit/par and pypit/config directories - Introduce PypitPar as an initial step toward refactoring the front end -- Move spectrograph specific code into spectographs/ folder +- Move spectrograph specific code into spectrographs/ folder - Introduces the Spectrographs class - Introduces the Calibrations class with Notebook - Bug fix in view_fits script diff --git a/README.md b/README.md index 01f1c1e113..8fefecd624 100644 --- a/README.md +++ b/README.md @@ -125,6 +125,7 @@ Conduct](https://pypeit.readthedocs.io/en/latest/codeconduct.html). * MMT/MMIRS (HK_zJ, J_zJ, and K_K tested) * MMT/Blue Channel (300 tested) * MDM/OSMOS +* MDM/Modspec (beta) * Keck/DEIMOS (600ZD, 830G, 1200G) * Keck/KCWI * Keck/LRIS diff --git a/doc/index.rst b/doc/index.rst index 3cd6f20457..6979290204 100644 --- a/doc/index.rst +++ b/doc/index.rst @@ -122,6 +122,7 @@ What this version provides * LBT/MODS * LDT/DeVeny * MDM/OSMOS + * MDM/Modspec * MMT/MMIRS * MMT/binospec * MMT/bluechannel @@ -283,6 +284,8 @@ development of ``PypeIt``. * Emanuele Paolo Farina * Debora Pelliccia * James Reichwein +* Gregory Simonian +* Heather Martin ---- diff --git a/pypeit/core/wavecal/spectrographs/templ_mdm_modspec_echelle.py b/pypeit/core/wavecal/spectrographs/templ_mdm_modspec_echelle.py deleted file mode 100644 index f50edf02a4..0000000000 --- a/pypeit/core/wavecal/spectrographs/templ_mdm_modspec_echelle.py +++ /dev/null @@ -1,49 +0,0 @@ -""" Generate the wavelength templates for MDM/Modspec """ - -import os - -from pypeit.core.wavecal import templates -import numpy as np - -def mdm_modspec_echelle(overwrite=True): - """mdm_modspec_echelle Template from the 1200/5100 grism [INSERT UNITS HERE] - - Args: - overwrite: bool, optional - Overwrite the existing file? [Default: False] - """ - - binspec = 1 - outroot = 'mdm_modspec_echelle_Ar.fits' - - # PypeIt fits - ##IF could find dev files/folder system, would set up properly and somewhat like this: - ## wpath = os.path.join(templates.template_path, 'mdm_modspec_echelle') - ##basefiles = ['MasterWaveCalib_ArI_5100.fits','MasterWaveCalib_NeI_5100.fits','MasterWaveCalib_XeI_5100.fits'] - ##wfiles = [os.path.join(wpath, basefile) for basefile in basefiles] - - ##but since I cannot find them, for now: - #filePath = r'C:\Users\thela\Desktop\coolege\Fall2022\upTo\Summer\Space_ze_Final_Frontier\python_scripts\testingSite\folderForReductionTest\testHolyGrail5\__template' - #basefiles = ['MasterWaveCalib_ArI_5100.fits','MasterWaveCalib_NeI_5100.fits','MasterWaveCalib_XeI_5100.fits'] - #wfiles = [os.path.join(filePath, basefile) for basefile in basefiles] ## these are the MasterWaveCalib files - - filePath = r'C:\Users\thela\Desktop\coolege\Fall2022\upTo\Summer\Space_ze_Final_Frontier\python_scripts\testingSite\folderForReductionTest\testHolyGrail6\ArI\mdm_modspec_echelle_A' - wfiles = os.path.join(filePath, 'wvcalib.fits') - - # Snippets - slits = [150] ## spatial id - wv_cuts = [] - assert len(wv_cuts) == len(slits)-1 - - - templates.build_template(wfiles, slits, wv_cuts, binspec, outroot, - det_cut=None, chk=True, - normalize=True, lowredux=False, - subtract_conti=True, overwrite=overwrite, - shift_wave=True) - - - -if __name__ == '__main__': - mdm_modspec_echelle(overwrite=True) - diff --git a/pypeit/data/arc_lines/reid_arxiv/mdm_modspec_1200_5100.fits b/pypeit/data/arc_lines/reid_arxiv/mdm_modspec_1200_5100.fits new file mode 100644 index 0000000000000000000000000000000000000000..283cf4b23297ac6e28f3b81b6955220389fc6833 GIT binary patch literal 34560 zcmeFYcTg71w=PP~IY|=9K|o1LlvzlUC=yjfNrE6q6cGgx0|qb(l)3bW@v!3Y0As?3`R2 zt>xv{$^XsAU4FHEK*XM)i0JSb`Pc|~8#{M5`IuP0J%N7Ffq&B<{cF9QyNliC|H7UT 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NKLq}V!2bsV{|`DWH&p-t diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index fab8a6f99e..720bc78c38 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -4624,7 +4624,7 @@ def valid_telescopes(): Return the valid telescopes. """ return [ 'GEMINI-N','GEMINI-S', 'KECK', 'SHANE', 'WHT', 'APF', 'TNG', 'VLT', 'MAGELLAN', 'LBT', 'MMT', - 'KPNO', 'NOT', 'P200', 'BOK', 'GTC', 'SOAR', 'NTT', 'LDT'] + 'KPNO', 'NOT', 'P200', 'BOK', 'GTC', 'SOAR', 'NTT', 'LDT', 'HILTNER'] def validate(self): pass diff --git a/pypeit/spectrographs/mdm_modspec.py b/pypeit/spectrographs/mdm_modspec.py index 12e863cefc..f1698dd670 100644 --- a/pypeit/spectrographs/mdm_modspec.py +++ b/pypeit/spectrographs/mdm_modspec.py @@ -3,7 +3,6 @@ .. include:: ../include/links.rst """ -import array as arr import numpy as np from pypeit import msgs @@ -19,13 +18,12 @@ class MDMModspecEchelleSpectrograph(spectrograph.Spectrograph): """ ndet = 1 name = 'mdm_modspec_echelle' - telescope = telescopes.KPNOTelescopePar() + telescope = telescopes.HiltnerTelescopePar() camera = 'Echelle' header_name = 'Modspec' pypeline = 'MultiSlit' supported = True comment = 'MDM Modspec spectrometer' - pypeline='MultiSlit' def get_detector_par(self, det, hdu=None): """ @@ -43,17 +41,17 @@ def get_detector_par(self, det, hdu=None): Object with the detector metadata. """ # Detector 1 - # See Echelle at 2.4m f/7.5 scale : http://mdm.kpno.noirlab.edu/mdm-ccds.html + # See Echelle at 2.4m f/7.5 scale : http://mdm.kpno.noirlab.edu/mdm-ccds.html gain = np.atleast_1d([1.3]) # Hardcoded in the header ronoise = np.atleast_1d([7.90]) # Hardcoded in the header - len1 = hdu[0].header['NAXIS1'] ## switched with len1 - len2 = hdu[0].header['NAXIS2'] ## switched with len2 + lenSpat = hdu[0].header['NAXIS1'] # length of spatial axis, including overscan. Horizontal axis of original .fits files + lenSpec = hdu[0].header['NAXIS2'] # length of spectral axis. Vertical axis of original .fits files datasec = np.atleast_1d([ - '[{0:d}:{1:d},{2:d}:{3:d}]'.format(1, len2, 1, 300)]) + '[{0:d}:{1:d},{2:d}:{3:d}]'.format(1, lenSpec, 1, 301) + ]) oscansec = np.atleast_1d([ - ## '[{0:d}:{1:d},{2:d}:{3:d}]'.format(1, 1+5, 1, len2), - '[{0:d}:{1:d},{2:d}:{3:d}]'.format(1, len2, 308, len1) ## accounts for overscan now + '[{0:d}:{1:d},{2:d}:{3:d}]'.format(1, lenSpec, 308, lenSpat) ]) if hdu is None: binning = '1,1' # Most common use mode @@ -66,9 +64,9 @@ def get_detector_par(self, det, hdu=None): binning = binning, det = 1, dataext = 0, - specaxis = 0, # Native spectrum is along the x-axis - specflip = False, ## ADD COMMENT - spatflip = False, + specaxis = 0, # Native spectrum is along the x-axis + specflip = True, # Wavelength decreases as pixel number increases + spatflip = False, # Spatial position increases as pixel number increases platescale = 0.28, # Arcsec / pixel darkcurr = 0.0, # Electrons per hour saturation = 65535., # 16-bit ADC @@ -96,39 +94,44 @@ def default_pypeit_par(cls): """ par = super().default_pypeit_par() - # Ignore PCA - par['calibrations']['slitedges']['sync_predict'] = 'nearest' - # Edges of slit fall off the detector, so assign the edges of the detector as the edges of the slit - par['calibrations']['slitedges']['bound_detector'] = True + # Slit edge method + par['calibrations']['slitedges']['sync_predict'] = 'nearest' # Ignore PCA + par['calibrations']['slitedges']['bound_detector'] = True # Edges of slit fall off the detector, so assign edges of detector as the edges of the slit - # Set pixel flat combination method + # Pixel flat method par['calibrations']['pixelflatframe']['process']['combine'] = 'mean' par['calibrations']['pixelflatframe']['process']['clip'] = True par['calibrations']['pixelflatframe']['process']['comb_sigrej'] = 3.0 - par['calibrations']['pixelflatframe']['process']['n_lohi'] = [1, 1] #[nlow, nhigh] - par['calibrations']['pixelflatframe']['process']['use_overscan'] = True ## maybe <<<<<< + par['calibrations']['pixelflatframe']['process']['n_lohi'] = [1, 1] + par['calibrations']['pixelflatframe']['process']['use_overscan'] = True - # Wavelength calibration methods - par['calibrations']['wavelengths']['method'] = 'holy-grail' #more reliable than 'holy-grail', but requires an archived wavelength solution for the specific instrument/grating combination. See https://pypeit.readthedocs.io/en/latest/pypeit_par.html#wavelengthsolutionpar-keywords, also https://pypeit.readthedocs.io/en/latest/wave_calib.html#identify and https://pypeit.readthedocs.io/en/latest/master_edges.html and https://pypeit.readthedocs.io/en/latest/master_arc.html + # Wavelength calibration method + par['calibrations']['wavelengths']['method'] = 'full_template' par['calibrations']['wavelengths']['lamps'] = ['ArI', 'XeI', 'NeI'] - #par['calibrations']['wavelengths']['reid_arxiv'] = 'mdm_modspec_echelle_NeXeAr.fits' - ###par['calibrations']['wavelengths']['reid_arxiv'] = 'mdm_modspec_echelle_Ar_REAL.fits' - ###|||||| do this one below ||||||### - par['calibrations']['wavelengths']['sigdetect'] = 5.0 #Sigma threshold above fluctuations for arc-line detection - par['calibrations']['wavelengths']['ech_fix_format'] = False ## a TEST - par['calibrations']['wavelengths']['n_final'] = 15 + par['calibrations']['wavelengths']['reid_arxiv'] = 'mdm_modspec_1200_5100.fits' + par['calibrations']['wavelengths']['sigdetect'] = 5.0 # Sigma threshold above fluctuations for arc-line detection + par['calibrations']['wavelengths']['ech_fix_format'] = False + par['calibrations']['wavelengths']['n_final'] = 9 + + # Bias method + par['calibrations']['biasframe']['process']['overscan_method'] = 'median' + + # Arc method + par['calibrations']['arcframe']['process']['subtract_continuum'] = True + par['calibrations']['arcframe']['process']['clip'] = False + par['calibrations']['arcframe']['process']['combine'] = 'mean' + + # Tilt method + par['calibrations']['tiltframe']['process']['subtract_continuum'] = True + par['calibrations']['tiltframe']['process']['clip'] = False + par['calibrations']['tiltframe']['process']['combine'] = 'mean' # Set the default exposure time ranges for the frame typing par['calibrations']['biasframe']['exprng'] = [None, 1] par['calibrations']['darkframe']['exprng'] = [999999, None] # No dark frames par['calibrations']['pinholeframe']['exprng'] = [999999, None] # No pinhole frames par['calibrations']['arcframe']['exprng'] = [None, None] # Long arc exposures on this telescope - par['calibrations']['arcframe']['process']['clip'] = False - par['calibrations']['arcframe']['process']['subtract_continuum'] = False - par['calibrations']['tiltframe']['process']['subtract_continuum'] = False - ###|||||| do the above two lines for when you attempt to construct a solution from all 3 arc lamps at once |||||| - par['calibrations']['standardframe']['exprng'] = [10, 60] - par['scienceframe']['exprng'] = [120, 600] + par['scienceframe']['exprng'] = [10, 600] return par @@ -145,25 +148,21 @@ def init_meta(self): self.meta['ra'] = dict(ext=0, card='RA') self.meta['dec'] = dict(ext=0, card='DEC') self.meta['target'] = dict(ext=0, card='OBJECT') - self.meta['decker'] = dict(card=None, compound=True) # str -- ie long_1.0 -- Name of the decker or slit mask + self.meta['decker'] = dict(card=None, compound=True) self.meta['binning'] = dict(card=None, compound=True) - ##self.meta['amp'] = '' # str -- ie SINGLE:B -- Name of the amplifier used to read the detector - ##self.meta['arm'] = '' # str -- ie VIS -- Name of the spectrograph arm used to collect the data - self.meta['datasec'] = dict(ext=0, card='DATASEC') # str -- ie [1:256,1:512] -- The science region of the detector - ##self.meta['detector'] = '' # str -- ie CHIP1 -- Name of the detector - ##self.meta['dichroic'] = '' # str -- ie 560 -- Name of the dichroic - self.meta['filter1'] = dict(ext=0, card='FILTER') # str -- ie J -- Name of the order-sorting filter + #self.meta['datasec'] = dict(ext=0, card='DATASEC') # possibly use local variable for this + self.meta['filter1'] = dict(ext=0, card='FILTER') self.meta['mjd'] = dict(card=None, compound=True) self.meta['exptime'] = dict(ext=0, card='EXPTIME') self.meta['airmass'] = dict(ext=0, card='AIRMASS') # Extras for config and frametyping - # in an example of what this code generates, see https://pypeit.readthedocs.io/en/latest/pypeit_file.html#pypeit-file - self.meta['dispname'] = dict(card=None, compound=True) # str -- ie 830G -- Name of the dispersing element - self.meta['dispangle'] = dict(card=None, compound=True) # float -- ie 7500.0 -- Central wavelength for the dispersing element at the observed angle + self.meta['dispname'] = dict(card=None, compound=True) + #self.meta['dispangle'] = dict(card=None, compound=True) self.meta['idname'] = dict(ext=0, card='IMAGETYP') + self.meta['cenwave'] = dict(card=None, compound=True, rtol=2.0) # Lamps self.meta['lampstat01'] = dict(ext=0, card='LAMPS') @@ -187,7 +186,6 @@ def compound_meta(self, headarr, meta_key): object: Metadata value read from the header(s). """ if meta_key == 'binning': - ## double-check the bin1 vs bin2 assignment binspatial = headarr[0]['CCDBIN1'] binspec = headarr[0]['CCDBIN2'] return parse.binning2string(binspec, binspatial) @@ -196,8 +194,8 @@ def compound_meta(self, headarr, meta_key): if meta_key == 'decker': return 'none' if meta_key == 'dispname': - return '1200/5100' - if meta_key == 'dispangle': + return '1200 l/mm' + if meta_key == 'cenwave': return 5100.0 else: msgs.error("Not ready for this compound meta") @@ -216,10 +214,7 @@ def configuration_keys(self): and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` object. """ - return ['dispname', 'decker', 'binning'] - ## since there is no 'decker' card, maybe replace this with a different parameter - ## return ['dispname', 'dispangle', 'binning'] - ## for why 'dispangle' was chosen, see https://pypeit.readthedocs.io/en/latest/setup.html?highlight=decker#overview + return ['dispname', 'cenwave', 'filter1','binning'] def pypeit_file_keys(self): """ @@ -254,18 +249,22 @@ def check_frame_type(self, ftype, fitstbl, exprng=None): exposures in ``fitstbl`` that are ``ftype`` type frames. """ good_exp = framematch.check_frame_exptime(fitstbl['exptime'], exprng) - if ftype in ['science', 'standard']: - return good_exp & (fitstbl['idname'] == 'Object') + if ftype in ['science']: # Standards and Sciences lumped together under 'science' + return good_exp & (fitstbl['idname'] == 'Object') & (fitstbl['mirror'] == 'OUT') + if ftype == 'bias': return good_exp & (fitstbl['idname'] == 'Bias') - if ftype in ['arc', 'tilt']: - return good_exp & (fitstbl['idname'] == 'Comp') - if ftype in ['pixelflat']: #Internal Flats + + if ftype in ['arc','tilt']: # Lamps and Arcs + return good_exp & np.array([target in ['Comp','Object'] for target in fitstbl['idname']]) & (fitstbl['mirror'] == 'IN') + + if ftype in ['pixelflat']: # Internal Flats return good_exp & (fitstbl['idname'] == 'Flat') & (fitstbl['mirror'] == 'IN') - if ftype in ['illumflat', 'trace']: #Twilight Flats + + if ftype in ['illumflat', 'trace']: # Twilight Flats return good_exp & (fitstbl['idname'] == 'Flat') & (fitstbl['mirror'] == 'OUT') + msgs.warn('Cannot determine if frames are of type {0}.'.format(ftype)) - #msgs.warn('Cannot determine if frames are of type {0}. Frame idname and target are: {1}, {2}'.format(ftype, fitstbl['idname'], fitstbl['target'])) return np.zeros(len(fitstbl), dtype=bool) def bpm(self, filename, det, shape=None, msbias=None): @@ -295,62 +294,9 @@ def bpm(self, filename, det, shape=None, msbias=None): to 1 and an unmasked value set to 0. All values are set to 0. """ - # Validate the entered (list of) detector(s) - nimg, _det = self.validate_det(det) - _det = list(_det) # Call the base-class method to generate the empty bpm bpm_img = super().bpm(filename, det, shape=shape, msbias=msbias) - # NOTE: expand_dims does *not* copy the array. We can edit it directly - # because we've created it inside this function. - _bpm_img = np.expand_dims(bpm_img, 0) if nimg == 1 else bpm_img - - if 1 in _det: - i = _det.index(1) - _bpm_img[i,:,1052:1054] = 1 - if 2 in _det: - i = _det.index(2) - _bpm_img[i,:,0:4] = 1 - _bpm_img[i,:,376:381] = 1 - _bpm_img[i,:,489] = 1 - _bpm_img[i,:,1333:1335] = 1 - _bpm_img[i,:,2047] = 1 - if 3 in _det: - i = _det.index(3) - _bpm_img[i,:,0:4] = 1 - _bpm_img[i,:,221] = 1 - _bpm_img[i,:,260] = 1 - _bpm_img[i,:,366] = 1 - _bpm_img[i,:,816:819] = 1 - _bpm_img[i,:,851] = 1 - _bpm_img[i,:,940] = 1 - _bpm_img[i,:,1167] = 1 - _bpm_img[i,:,1280] = 1 - _bpm_img[i,:,1301:1303] = 1 - _bpm_img[i,:,1744:1747] = 1 - _bpm_img[i,:,-4:] = 1 - if 4 in _det: - i = _det.index(4) - _bpm_img[i,:,0:4] = 1 - _bpm_img[i,:,47] = 1 - _bpm_img[i,:,744] = 1 - _bpm_img[i,:,790:792] = 1 - _bpm_img[i,:,997:999] = 1 - if 5 in _det: - i = _det.index(5) - _bpm_img[i,:,25:27] = 1 - _bpm_img[i,:,128:130] = 1 - _bpm_img[i,:,1535:1539] = 1 - if 7 in _det: - i = _det.index(7) - _bpm_img[i,:,426:428] = 1 - _bpm_img[i,:,676] = 1 - _bpm_img[i,:,1176:1178] = 1 - if 8 in _det: - i = _det.index(8) - _bpm_img[i,:,440] = 1 - _bpm_img[i,:,509:513] = 1 - _bpm_img[i,:,806] = 1 - _bpm_img[i,:,931:934] = 1 - return _bpm_img[0] if nimg == 1 else _bpm_img + return bpm_img + diff --git a/pypeit/telescopes.py b/pypeit/telescopes.py index ccc375c7ab..5932c2383c 100644 --- a/pypeit/telescopes.py +++ b/pypeit/telescopes.py @@ -122,13 +122,22 @@ def __init__(self): class KPNOTelescopePar(TelescopePar): def __init__(self): super(KPNOTelescopePar, self).__init__(name='KPNO', - longitude=111.616111, - latitude=31.9516666, + longitude=111.616111, + latitude=31.9516666, elevation=2098.0, diameter=4.0, eff_aperture=11.2) # KPNO from https://en.wikipedia.org/wiki/Nicholas_U._Mayall_Telescope +class HiltnerTelescopePar(TelescopePar): + def __init__(self): + super(HiltnerTelescopePar, self).__init__(name='HILTNER', + longitude=111.615556, # Longitude of the telescope (NOTE: West should correspond to positive longitudes) + latitude=31.951389, # Latitude of the telescope + elevation=1938.5, # Elevation of the telescope (in m) + diameter=2.4) +# See https://noirlab.edu/public/programs/kitt-peak-national-observatory/the-hiltner-24m-telescope/ + class MMTTelescopePar(TelescopePar): def __init__(self): super(MMTTelescopePar, self).__init__(name='MMT', diff --git a/pypeit/wavecalib.py b/pypeit/wavecalib.py index 4032c3a847..9604b8166a 100644 --- a/pypeit/wavecalib.py +++ b/pypeit/wavecalib.py @@ -529,8 +529,8 @@ def build_wv_calib(self, arccen, method, skip_QA=False): final_fit = autoid.full_template(arccen, self.lamps, self.par, ok_mask_idx, self.det, self.binspectral, measured_fwhms=measured_fwhms, nonlinear_counts=self.nonlinear_counts, - nsnippet=self.par['nsnippet'], - debug=True, debug_reid=True, debug_xcorr=True) ### Pypeit people said to uncomment this line + nsnippet=self.par['nsnippet']) + #debug=True, debug_reid=True, debug_xcorr=True) ### Pypeit people said to uncomment this line else: msgs.error('Unrecognized wavelength calibration method: {:}'.format(method)) diff --git a/pypeit/wavetilts.py b/pypeit/wavetilts.py index 7649fcc407..77965668c7 100644 --- a/pypeit/wavetilts.py +++ b/pypeit/wavetilts.py @@ -552,9 +552,9 @@ def run(self, doqa=True, debug=False, show=False): self.arccen, self.arccen_bpm = self.extract_arcs() # TODO: Leave for now. Used for debugging -# self.par['rm_continuum'] = True -# debug = True -# show = True + #self.par['rm_continuum'] = True + #debug = True + #show = True # Subtract arc continuum _mstilt = self.mstilt.image.copy() From a8f6405fbd12562363393a9503f04e167767cf08 Mon Sep 17 00:00:00 2001 From: Gregory Simonian Date: Thu, 11 Aug 2022 12:12:11 -0500 Subject: [PATCH 021/610] Debugging continuum subtraction. Changed a flag to enable continuum subtraction. --- pypeit/images/rawimage.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/pypeit/images/rawimage.py b/pypeit/images/rawimage.py index 54c0416206..82e880d643 100644 --- a/pypeit/images/rawimage.py +++ b/pypeit/images/rawimage.py @@ -1097,7 +1097,8 @@ def subtract_continuum(self, force=False): for ii in range(self.nimg): cont = np.zeros((self.image.shape[1], self.image.shape[2])) for rr in range(self.image.shape[2]): - cont_now, cont_mask = arc.iter_continuum(self.image[ii, :, rr]) + cont_now, cont_mask = arc.iter_continuum(self.image[ii, :, rr], + debug=True) cont[:,rr] = cont_now self.image[ii,:,:] -= cont #cont = ndimage.median_filter(self.image, size=(1,101,3), mode='reflect') From 54ad0dc85a4dea55aa64870e47d5c89b2d9a1e39 Mon Sep 17 00:00:00 2001 From: profxj Date: Wed, 26 Oct 2022 19:01:48 -0700 Subject: [PATCH 022/610] wip --- pypeit/core/parse.py | 2 +- pypeit/spectrographs/keck_esi.py | 332 +++++++++++++++++++++++++++++++ 2 files changed, 333 insertions(+), 1 deletion(-) create mode 100644 pypeit/spectrographs/keck_esi.py diff --git a/pypeit/core/parse.py b/pypeit/core/parse.py index f4b4a3af31..2eee0df7ed 100644 --- a/pypeit/core/parse.py +++ b/pypeit/core/parse.py @@ -112,7 +112,7 @@ def binning2string(binspectral, binspatial): return '{0},{1}'.format(binspectral, binspatial) -def parse_binning(binning): +def parse_binning(binning:str): """ Parse input binning into binspectral, binspatial diff --git a/pypeit/spectrographs/keck_esi.py b/pypeit/spectrographs/keck_esi.py new file mode 100644 index 0000000000..d4ebddb45d --- /dev/null +++ b/pypeit/spectrographs/keck_esi.py @@ -0,0 +1,332 @@ +""" +Module for Magellan/MAGE specific methods. + +.. include:: ../include/links.rst +""" + +from IPython import embed + +import numpy as np + +from astropy.time import Time + +from pypeit import msgs +from pypeit import telescopes +from pypeit import io +from pypeit.core import framematch +from pypeit.core import parse +from pypeit.spectrographs import spectrograph +from pypeit.images import detector_container + +class MagellanMAGESpectrograph(spectrograph.Spectrograph): + """ + Child to handle Magellan/MAGE specific code + """ + ndet = 1 + name = 'magellan_mage' + camera = 'MagE' + url = 'https://www.lco.cl/?epkb_post_type_1=mage' + header_name = 'MagE' + telescope = telescopes.MagellanTelescopePar() + pypeline = 'Echelle' + supported = True + comment = 'See :doc:`mage`' + + def get_detector_par(self, det, hdu=None): + """ + Return metadata for the selected detector. + + Args: + det (:obj:`int`): + 1-indexed detector number. + hdu (`astropy.io.fits.HDUList`_, optional): + The open fits file with the raw image of interest. If not + provided, frame-dependent parameters are set to a default. + + Returns: + :class:`~pypeit.images.detector_container.DetectorContainer`: + Object with the detector metadata. + """ + # Binning + # TODO: Could this be detector dependent?? + binning = '1,1' if hdu is None else self.get_meta_value(self.get_headarr(hdu), 'binning') + + # Detector 1 + detector_dict = dict( + binning = binning, + det = 1, + dataext = 0, + specaxis = 1, + specflip = True, + spatflip = False, + # plate scale in arcsec/pixel + platescale = 0.3, + # electrons/pixel/hour. From: http://www.lco.cl/telescopes-information/magellan/instruments/mage/the-mage-spectrograph-user-manual + darkcurr = 1.00, + saturation = 65535., + # CCD is linear to better than 0.5 per cent up to digital saturation (65,536 DN including bias) in the Fast readout mode. + nonlinear = 0.99, + mincounts = -1e10, + numamplifiers = 1, + gain = np.atleast_1d(1.02), # depends on the readout + ronoise = np.atleast_1d(2.9), # depends on the readout + datasec = np.atleast_1d('[1:1024, 1:2048]'), + oscansec = np.atleast_1d('[1:1024, 2049:2176]'), + ) + # Taken from the MASE paper: https://arxiv.org/pdf/0910.1834.pdf + #self.norders = 15 + # 20-6 + return detector_container.DetectorContainer(**detector_dict) + + @classmethod + def default_pypeit_par(cls): + """ + Return the default parameters to use for this instrument. + + Returns: + :class:`~pypeit.par.pypeitpar.PypeItPar`: Parameters required by + all of ``PypeIt`` methods. + """ + par = super().default_pypeit_par() + + # Bias + #par['calibrations']['biasframe']['useframe'] = 'overscan' + # Wavelengths + # 1D wavelength solution + par['calibrations']['wavelengths']['rms_threshold'] = 0.20 # Might be grating dependent.. + par['calibrations']['wavelengths']['sigdetect'] = 5.0 + par['calibrations']['wavelengths']['lamps'] = ['ThAr_MagE'] + + par['calibrations']['wavelengths']['method'] = 'reidentify' + par['calibrations']['wavelengths']['cc_thresh'] = 0.50 + par['calibrations']['wavelengths']['cc_local_thresh'] = 0.50 + + # Reidentification parameters + par['calibrations']['wavelengths']['reid_arxiv'] = 'magellan_mage.fits' + par['calibrations']['wavelengths']['ech_fix_format'] = True + # Echelle parameters + par['calibrations']['wavelengths']['echelle'] = True + par['calibrations']['wavelengths']['ech_nspec_coeff'] = 4 + par['calibrations']['wavelengths']['ech_norder_coeff'] = 4 + par['calibrations']['wavelengths']['ech_sigrej'] = 3.0 + + par['scienceframe']['process']['sigclip'] = 20.0 + par['scienceframe']['process']['satpix'] = 'nothing' + + # Set slits and tilts parameters + par['calibrations']['tilts']['tracethresh'] = 10. #[10]*self.norders + par['calibrations']['slitedges']['fit_order'] = 5 + par['calibrations']['slitedges']['max_shift_adj'] = 3. + par['calibrations']['slitedges']['edge_thresh'] = 10. # Tough to get the bluest orders + par['calibrations']['slitedges']['left_right_pca'] = True + par['calibrations']['slitedges']['fit_min_spec_length'] = 0.3 # Allow for a short detected blue order + # Find object parameters + par['reduce']['findobj']['find_trim_edge'] = [4,4] # Slit is too short to trim 5,5 especially with 2x binning + par['reduce']['findobj']['maxnumber_sci'] = 2 # Slit is narrow so allow one object per order + par['reduce']['findobj']['maxnumber_std'] = 1 # Slit is narrow so allow one object per order + par['reduce']['extraction']['model_full_slit'] = True # local sky subtraction operates on entire slit + + + # Always flux calibrate, starting with default parameters + # Do not correct for flexure + par['flexure']['spec_method'] = 'skip' + # Set the default exposure time ranges for the frame typing + par['calibrations']['standardframe']['exprng'] = [None, 20] + par['calibrations']['arcframe']['exprng'] = [20, None] + par['calibrations']['darkframe']['exprng'] = [20, None] + par['scienceframe']['exprng'] = [20, None] + return par + + def init_meta(self): + """ + Define how metadata are derived from the spectrograph files. + + That is, this associates the ``PypeIt``-specific metadata keywords + with the instrument-specific header cards using :attr:`meta`. + """ + self.meta = {} + # Required (core) + self.meta['ra'] = dict(ext=0, card='RA') + self.meta['dec'] = dict(ext=0, card='DEC') + self.meta['target'] = dict(ext=0, card='OBJECT') + #TODO: Check decker is correct + self.meta['decker'] = dict(ext=0, card='SLITNAME') + self.meta['binning'] = dict(card=None, compound=True) +# self.meta['binning'] = dict(ext=0, card='BINNING') + self.meta['mjd'] = dict(ext=0, card=None, compound=True) + self.meta['exptime'] = dict(ext=0, card='EXPTIME') + self.meta['airmass'] = dict(ext=0, card='AIRMASS') + # Extras for config and frametyping + self.meta['dispname'] = dict(ext=0, card='INSTRUME') + self.meta['idname'] = dict(ext=0, card='EXPTYPE') + self.meta['instrument'] = dict(ext=0, card='INSTRUME') + + def compound_meta(self, headarr, meta_key): + """ + Methods to generate metadata requiring interpretation of the header + data, instead of simply reading the value of a header card. + + Args: + headarr (:obj:`list`): + List of `astropy.io.fits.Header`_ objects. + meta_key (:obj:`str`): + Metadata keyword to construct. + + Returns: + object: Metadata value read from the header(s). + """ + if meta_key == 'binning': + binspatial, binspec = parse.parse_binning(headarr[0]['BINNING']) + return parse.binning2string(binspec, binspatial) + elif meta_key == 'mjd': + time = '{:s}T{:s}'.format(headarr[0]['UT-DATE'], headarr[0]['UT-TIME']) + ttime = Time(time, format='isot') + return ttime.mjd + else: + msgs.error("Not ready for this compound meta") + + def configuration_keys(self): + """ + Return the metadata keys that define a unique instrument + configuration. + + This list is used by :class:`~pypeit.metadata.PypeItMetaData` to + identify the unique configurations among the list of frames read + for a given reduction. + + Returns: + :obj:`list`: List of keywords of data pulled from file headers + and used to constuct the :class:`~pypeit.metadata.PypeItMetaData` + object. + """ + return [] + + def check_frame_type(self, ftype, fitstbl, exprng=None): + """ + Check for frames of the provided type. + + Args: + ftype (:obj:`str`): + Type of frame to check. Must be a valid frame type; see + frame-type :ref:`frame_type_defs`. + fitstbl (`astropy.table.Table`_): + The table with the metadata for one or more frames to check. + exprng (:obj:`list`, optional): + Range in the allowed exposure time for a frame of type + ``ftype``. See + :func:`pypeit.core.framematch.check_frame_exptime`. + + Returns: + `numpy.ndarray`_: Boolean array with the flags selecting the + exposures in ``fitstbl`` that are ``ftype`` type frames. + """ + if ftype in ['pinhole', 'dark']: + # No pinhole or bias or dark frames + return np.zeros(len(fitstbl), dtype=bool) + elif ftype in ['bias']: + return fitstbl['idname'] == 'Bias' + elif ftype in ['pixelflat', 'trace']: + return fitstbl['idname'] == 'Flat' + elif ftype in ['arc']: + return fitstbl['idname'] == 'ThAr-Lamp' + else: + return (fitstbl['idname'] == 'Object') \ + & framematch.check_frame_exptime(fitstbl['exptime'], exprng) + + def bpm(self, filename, det, shape=None, msbias=None): + """ + Generate a default bad-pixel mask. + + Even though they are both optional, either the precise shape for + the image (``shape``) or an example file that can be read to get + the shape (``filename`` using :func:`get_image_shape`) *must* be + provided. + + Args: + filename (:obj:`str` or None): + An example file to use to get the image shape. + det (:obj:`int`): + 1-indexed detector number to use when getting the image + shape from the example file. + shape (tuple, optional): + Processed image shape + Required if filename is None + Ignored if filename is not None + msbias (`numpy.ndarray`_, optional): + Master bias frame used to identify bad pixels + + Returns: + `numpy.ndarray`_: An integer array with a masked value set + to 1 and an unmasked value set to 0. All values are set to + 0. + """ + # Call the base-class method to generate the empty bpm + bpm_img = super().bpm(filename, det, shape=shape, msbias=msbias) + + # Get the binning + msgs.info("Custom bad pixel mask for MAGE") + hdu = io.fits_open(filename) + binspatial, binspec = parse.parse_binning(hdu[0].header['BINNING']) + hdu.close() + # Do it + bpm_img[:, :10//binspatial] = 1. # Setting BPM on the edge of the detector often leads to false edges + bpm_img[:, 1020//binspatial:] = 1. + # Return + return bpm_img + + @property + def norders(self): + """ + Number of orders for this spectograph. Should only defined for + echelle spectrographs, and it is undefined for the base class. + """ + return 12 # 20-6 + + @property + def order_spat_pos(self): + """ + Return the expected spatial position of each echelle order. + """ + ord_spat_pos = np.array([0.316, 0.399, 0.475, 0.545, 0.609, 0.669, 0.723, 0.774, 0.823, + 0.869, 0.915, 0.965]) + return ord_spat_pos + + @property + def orders(self): + """ + Return the order number for each echelle order. + """ + return np.arange(17, 5, -1, dtype=int) + + @property + def spec_min_max(self): + """ + Return the minimum and maximum spectral pixel expected for the + spectral range of each order. + """ + spec_max = np.full(self.norders, np.inf) + spec_min = np.full(self.norders, -np.inf) + return np.vstack((spec_min, spec_max)) + + def order_platescale(self, order_vec, binning=None): + """ + Return the platescale for each echelle order. + + This routine is only defined for echelle spectrographs, and it is + undefined in the base class. + + Args: + order_vec (`numpy.ndarray`_): + The vector providing the order numbers. + binning (:obj:`str`, optional): + The string defining the spectral and spatial binning. + + Returns: + `numpy.ndarray`_: An array with the platescale for each order + provided by ``order``. + """ + norders = len(order_vec) + binspatial, binspec = parse.parse_binning(binning) + return np.full(norders, 0.30*binspatial) + + From 419cca9aa04dd67f8b3074211d8ce075846dea63 Mon Sep 17 00:00:00 2001 From: profxj Date: Wed, 26 Oct 2022 19:01:55 -0700 Subject: [PATCH 023/610] more --- pypeit/spectrographs/keck_esi.py | 114 ++++++++++++++++++++++--------- 1 file changed, 81 insertions(+), 33 deletions(-) diff --git a/pypeit/spectrographs/keck_esi.py b/pypeit/spectrographs/keck_esi.py index d4ebddb45d..66aa4a8388 100644 --- a/pypeit/spectrographs/keck_esi.py +++ b/pypeit/spectrographs/keck_esi.py @@ -1,8 +1,9 @@ """ -Module for Magellan/MAGE specific methods. +Module for Keck/ESI specific methods. .. include:: ../include/links.rst """ +import os from IPython import embed @@ -18,18 +19,17 @@ from pypeit.spectrographs import spectrograph from pypeit.images import detector_container -class MagellanMAGESpectrograph(spectrograph.Spectrograph): +class KeckESISpectrograph(spectrograph.Spectrograph): """ - Child to handle Magellan/MAGE specific code + Child to handle Keck/ESI specific code """ ndet = 1 - name = 'magellan_mage' - camera = 'MagE' + name = 'keck_esi' + camera = 'ESI' url = 'https://www.lco.cl/?epkb_post_type_1=mage' - header_name = 'MagE' - telescope = telescopes.MagellanTelescopePar() + telescope = telescopes.KeckTelescopePar() pypeline = 'Echelle' - supported = True + supported = False comment = 'See :doc:`mage`' def get_detector_par(self, det, hdu=None): @@ -57,21 +57,19 @@ def get_detector_par(self, det, hdu=None): det = 1, dataext = 0, specaxis = 1, - specflip = True, + specflip = False, spatflip = False, # plate scale in arcsec/pixel - platescale = 0.3, - # electrons/pixel/hour. From: http://www.lco.cl/telescopes-information/magellan/instruments/mage/the-mage-spectrograph-user-manual - darkcurr = 1.00, + platescale = 0.1542, + # electrons/pixel/hour. + darkcurr = 2.10, # Could be updated saturation = 65535., # CCD is linear to better than 0.5 per cent up to digital saturation (65,536 DN including bias) in the Fast readout mode. nonlinear = 0.99, mincounts = -1e10, - numamplifiers = 1, - gain = np.atleast_1d(1.02), # depends on the readout - ronoise = np.atleast_1d(2.9), # depends on the readout - datasec = np.atleast_1d('[1:1024, 1:2048]'), - oscansec = np.atleast_1d('[1:1024, 2049:2176]'), + numamplifiers = 2, + gain = np.atleast_1d([1.3, 1.3]), + ronoise = np.atleast_1d([2.5,2.5]), ) # Taken from the MASE paper: https://arxiv.org/pdf/0910.1834.pdf #self.norders = 15 @@ -148,19 +146,30 @@ def init_meta(self): # Required (core) self.meta['ra'] = dict(ext=0, card='RA') self.meta['dec'] = dict(ext=0, card='DEC') - self.meta['target'] = dict(ext=0, card='OBJECT') - #TODO: Check decker is correct - self.meta['decker'] = dict(ext=0, card='SLITNAME') + self.meta['target'] = dict(ext=0, card='TARGNAME') + + self.meta['decker'] = dict(ext=0, card='SLMSKNAM') self.meta['binning'] = dict(card=None, compound=True) -# self.meta['binning'] = dict(ext=0, card='BINNING') - self.meta['mjd'] = dict(ext=0, card=None, compound=True) - self.meta['exptime'] = dict(ext=0, card='EXPTIME') + self.meta['mjd'] = dict(ext=0, card='MJD-OBS') + self.meta['exptime'] = dict(ext=0, card='ELAPTIME') self.meta['airmass'] = dict(ext=0, card='AIRMASS') # Extras for config and frametyping - self.meta['dispname'] = dict(ext=0, card='INSTRUME') - self.meta['idname'] = dict(ext=0, card='EXPTYPE') + #self.meta['dispname'] = dict(ext=0, card='INSTRUME') + self.meta['idname'] = dict(ext=0, card='OBSTYPE') self.meta['instrument'] = dict(ext=0, card='INSTRUME') + # Lamps -- Have varied in time.. + self.meta['lampstat01'] = dict(ext=0, card='LAMPAR1') + self.meta['lampstat02'] = dict(ext=0, card='LAMPCU1') + self.meta['lampstat03'] = dict(ext=0, card='LAMPNE1') + self.meta['lampstat04'] = dict(ext=0, card='LAMPNE2') + self.meta['lampstat05'] = dict(ext=0, card='LAMPQTZ1') + self.meta['lampstat06'] = dict(ext=0, card='FLIMAGIN') + self.meta['lampstat07'] = dict(ext=0, card='FLSPECTR') + + # Hatch + self.meta['hatch'] = dict(ext=0, card='HATCHPOS') + def compound_meta(self, headarr, meta_key): """ Methods to generate metadata requiring interpretation of the header @@ -178,10 +187,10 @@ def compound_meta(self, headarr, meta_key): if meta_key == 'binning': binspatial, binspec = parse.parse_binning(headarr[0]['BINNING']) return parse.binning2string(binspec, binspatial) - elif meta_key == 'mjd': - time = '{:s}T{:s}'.format(headarr[0]['UT-DATE'], headarr[0]['UT-TIME']) - ttime = Time(time, format='isot') - return ttime.mjd + #elif meta_key == 'mjd': + # time = '{:s}T{:s}'.format(headarr[0]['UT-DATE'], headarr[0]['UT-TIME']) + # ttime = Time(time, format='isot') + # return ttime.mjd else: msgs.error("Not ready for this compound meta") @@ -221,17 +230,17 @@ def check_frame_type(self, ftype, fitstbl, exprng=None): exposures in ``fitstbl`` that are ``ftype`` type frames. """ if ftype in ['pinhole', 'dark']: - # No pinhole or bias or dark frames + # No pinhole or pinhole or dark frames return np.zeros(len(fitstbl), dtype=bool) elif ftype in ['bias']: return fitstbl['idname'] == 'Bias' elif ftype in ['pixelflat', 'trace']: - return fitstbl['idname'] == 'Flat' + return fitstbl['idname'] in ['DmFlat', 'IntFlat', 'SkyFlat'] elif ftype in ['arc']: - return fitstbl['idname'] == 'ThAr-Lamp' + return fitstbl['idname'] == 'Line' else: return (fitstbl['idname'] == 'Object') \ - & framematch.check_frame_exptime(fitstbl['exptime'], exprng) + & framematch.check_frame_exptime(fitstbl['exptime'], (60., None)) def bpm(self, filename, det, shape=None, msbias=None): """ @@ -263,6 +272,8 @@ def bpm(self, filename, det, shape=None, msbias=None): # Call the base-class method to generate the empty bpm bpm_img = super().bpm(filename, det, shape=shape, msbias=msbias) + # TODO -- Add this + ''' # Get the binning msgs.info("Custom bad pixel mask for MAGE") hdu = io.fits_open(filename) @@ -271,6 +282,7 @@ def bpm(self, filename, det, shape=None, msbias=None): # Do it bpm_img[:, :10//binspatial] = 1. # Setting BPM on the edge of the detector often leads to false edges bpm_img[:, 1020//binspatial:] = 1. + ''' # Return return bpm_img @@ -330,3 +342,39 @@ def order_platescale(self, order_vec, binning=None): return np.full(norders, 0.30*binspatial) + + def get_rawimage(self, raw_file, det, spectrim=None): + """ Read the image + """ + # Check for file; allow for extra .gz, etc. suffix + if not os.path.isfile(raw_file): + msgs.error(f'{raw_file} not found!') + hdu = io.fits_open(raw_file) + head0 = hdu[0].header + + # Number of AMPS + namp = head0['NUMAMPS'] + + # Get post, pre-pix values + prepix = head0['PREPIX'] + postpix = head0['POSTPIX'] + preline = head0['PRELINE'] + postline = head0['POSTLINE'] + + # Grab the data + full_image = hdu[0].data.astype(float) + rawdatasec_img = np.zeros_like(full_image, dtype=int) + oscansec_img = np.zeros_like(full_image, dtype=int) + + # + nspat = head0['WINDOW'].split(',')[3] // namp + for amp in range(namp): + col0 = prepix*2 + # Data + rawdatasec_img[:, col0:col0+nspat] = amp+1 + # Overscan + o0 = col0 + nspat*namp + postpix*amp + oscansec_img[:, o0:o0+postpix] = amp+1 + + return self.get_detector_par(1, hdu=hdu), \ + full_image, hdu, head0['ELAPTIME'], rawdatasec_img, oscansec_img \ No newline at end of file From 75d51ceb1086d8ac24ec9c7bd64f28570bf35f42 Mon Sep 17 00:00:00 2001 From: profxj Date: Wed, 26 Oct 2022 19:16:02 -0700 Subject: [PATCH 024/610] image proc works! --- pypeit/spectrographs/__init__.py | 1 + pypeit/spectrographs/keck_esi.py | 16 ++++++++-------- 2 files changed, 9 insertions(+), 8 deletions(-) diff --git a/pypeit/spectrographs/__init__.py b/pypeit/spectrographs/__init__.py index 65a66a4a2e..e9d4d26e25 100644 --- a/pypeit/spectrographs/__init__.py +++ b/pypeit/spectrographs/__init__.py @@ -8,6 +8,7 @@ from pypeit.spectrographs import gemini_flamingos from pypeit.spectrographs import gemini_gmos from pypeit.spectrographs import gemini_gnirs +from pypeit.spectrographs import keck_esi from pypeit.spectrographs import keck_deimos from pypeit.spectrographs import keck_hires from pypeit.spectrographs import keck_kcwi diff --git a/pypeit/spectrographs/keck_esi.py b/pypeit/spectrographs/keck_esi.py index 66aa4a8388..eb0089c3be 100644 --- a/pypeit/spectrographs/keck_esi.py +++ b/pypeit/spectrographs/keck_esi.py @@ -56,7 +56,7 @@ def get_detector_par(self, det, hdu=None): binning = binning, det = 1, dataext = 0, - specaxis = 1, + specaxis = 0, specflip = False, spatflip = False, # plate scale in arcsec/pixel @@ -71,9 +71,6 @@ def get_detector_par(self, det, hdu=None): gain = np.atleast_1d([1.3, 1.3]), ronoise = np.atleast_1d([2.5,2.5]), ) - # Taken from the MASE paper: https://arxiv.org/pdf/0910.1834.pdf - #self.norders = 15 - # 20-6 return detector_container.DetectorContainer(**detector_dict) @classmethod @@ -154,7 +151,7 @@ def init_meta(self): self.meta['exptime'] = dict(ext=0, card='ELAPTIME') self.meta['airmass'] = dict(ext=0, card='AIRMASS') # Extras for config and frametyping - #self.meta['dispname'] = dict(ext=0, card='INSTRUME') + self.meta['dispname'] = dict(ext=0, card='INSTRUME') self.meta['idname'] = dict(ext=0, card='OBSTYPE') self.meta['instrument'] = dict(ext=0, card='INSTRUME') @@ -273,6 +270,7 @@ def bpm(self, filename, det, shape=None, msbias=None): bpm_img = super().bpm(filename, det, shape=shape, msbias=msbias) # TODO -- Add this + # BE SURE TO ELIMINATE THE FIRST COLUMN OR TWO ''' # Get the binning msgs.info("Custom bad pixel mask for MAGE") @@ -367,14 +365,16 @@ def get_rawimage(self, raw_file, det, spectrim=None): oscansec_img = np.zeros_like(full_image, dtype=int) # - nspat = head0['WINDOW'].split(',')[3] // namp + nspat = int(head0['WINDOW'].split(',')[3]) // namp for amp in range(namp): - col0 = prepix*2 + col0 = prepix*2 + nspat*amp # Data rawdatasec_img[:, col0:col0+nspat] = amp+1 # Overscan - o0 = col0 + nspat*namp + postpix*amp + o0 = prepix*2 + nspat*namp + postpix*amp oscansec_img[:, o0:o0+postpix] = amp+1 + #embed(header='435 of keck_esi.py') + return self.get_detector_par(1, hdu=hdu), \ full_image, hdu, head0['ELAPTIME'], rawdatasec_img, oscansec_img \ No newline at end of file From 203b7d032922db52b352608cfac9aa5c14992316 Mon Sep 17 00:00:00 2001 From: profxj Date: Wed, 26 Oct 2022 20:19:53 -0700 Subject: [PATCH 025/610] setup --- pypeit/spectrographs/keck_esi.py | 32 ++++++++++++++++++++------------ 1 file changed, 20 insertions(+), 12 deletions(-) diff --git a/pypeit/spectrographs/keck_esi.py b/pypeit/spectrographs/keck_esi.py index eb0089c3be..2782d30280 100644 --- a/pypeit/spectrographs/keck_esi.py +++ b/pypeit/spectrographs/keck_esi.py @@ -151,7 +151,7 @@ def init_meta(self): self.meta['exptime'] = dict(ext=0, card='ELAPTIME') self.meta['airmass'] = dict(ext=0, card='AIRMASS') # Extras for config and frametyping - self.meta['dispname'] = dict(ext=0, card='INSTRUME') + self.meta['dispname'] = dict(card=None, compound=True) self.meta['idname'] = dict(ext=0, card='OBSTYPE') self.meta['instrument'] = dict(ext=0, card='INSTRUME') @@ -184,10 +184,9 @@ def compound_meta(self, headarr, meta_key): if meta_key == 'binning': binspatial, binspec = parse.parse_binning(headarr[0]['BINNING']) return parse.binning2string(binspec, binspatial) - #elif meta_key == 'mjd': - # time = '{:s}T{:s}'.format(headarr[0]['UT-DATE'], headarr[0]['UT-TIME']) - # ttime = Time(time, format='isot') - # return ttime.mjd + elif meta_key == 'dispname': + dname = headarr[0]['INSTRUME'].split(' ')[1] + return dname else: msgs.error("Not ready for this compound meta") @@ -229,15 +228,24 @@ def check_frame_type(self, ftype, fitstbl, exprng=None): if ftype in ['pinhole', 'dark']: # No pinhole or pinhole or dark frames return np.zeros(len(fitstbl), dtype=bool) - elif ftype in ['bias']: + if ftype in ['bias']: return fitstbl['idname'] == 'Bias' - elif ftype in ['pixelflat', 'trace']: - return fitstbl['idname'] in ['DmFlat', 'IntFlat', 'SkyFlat'] - elif ftype in ['arc']: + if ftype in ['pixelflat', 'trace', 'illumflat']: + ans = np.zeros(len(fitstbl), dtype=bool) + for kk, idnm in enumerate(fitstbl['idname']): + if idnm in ['DmFlat', 'IntFlat', 'SkyFlat']: + ans[kk] = True + return ans + if ftype in ['arc', 'tilt']: return fitstbl['idname'] == 'Line' - else: + if ftype == 'science': return (fitstbl['idname'] == 'Object') \ & framematch.check_frame_exptime(fitstbl['exptime'], (60., None)) + if ftype == 'standard': + return (fitstbl['idname'] == 'Object') \ + & framematch.check_frame_exptime(fitstbl['exptime'], (0., 60.)) + msgs.warn('Cannot determine if frames are of type {0}.'.format(ftype)) + return np.zeros(len(fitstbl), dtype=bool) def bpm(self, filename, det, shape=None, msbias=None): """ @@ -290,7 +298,7 @@ def norders(self): Number of orders for this spectograph. Should only defined for echelle spectrographs, and it is undefined for the base class. """ - return 12 # 20-6 + return 10 # 20-6 @property def order_spat_pos(self): @@ -306,7 +314,7 @@ def orders(self): """ Return the order number for each echelle order. """ - return np.arange(17, 5, -1, dtype=int) + return np.arange(15, 5, -1, dtype=int) @property def spec_min_max(self): From 90c44ad55e3744396a46abc92d2a564abd1cd6b9 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Fri, 28 Oct 2022 10:02:33 -1000 Subject: [PATCH 026/610] ESI order tracing, and function to add missing orders --- pypeit/edgetrace.py | 113 ++++++++++++++++++++++++++----- pypeit/par/pypeitpar.py | 18 +++-- pypeit/spectrographs/keck_esi.py | 26 +++++-- 3 files changed, 127 insertions(+), 30 deletions(-) diff --git a/pypeit/edgetrace.py b/pypeit/edgetrace.py index 2efe50618c..79335b4229 100644 --- a/pypeit/edgetrace.py +++ b/pypeit/edgetrace.py @@ -134,7 +134,6 @@ from pypeit.spectrographs.spectrograph import Spectrograph from pypeit.spectrographs.util import load_spectrograph - class EdgeTraceBitMask(BitMask): """ Mask bits used during slit tracing. @@ -172,9 +171,11 @@ def __init__(self): ('ABNORMALSLIT', 'Slit formed by left and right edge has abnormal length'), ('USERRMSLIT', 'Slit removed by user'), ('NOORDER', 'Unable to associate this trace with an echelle order (echelle ' - ' spectrographs only)'), + 'spectrographs only)'), ('ORDERMISMATCH', 'Slit traces are not well matched to any echelle order (echelle ' - ' spectrographs only)')]) + 'spectrographs only)'), + ('ORDERINSERT', 'Trace was inserted as the expected location of an echelle ' + 'order missed by the automated tracing')]) super(EdgeTraceBitMask, self).__init__(list(mask.keys()), descr=list(mask.values())) @property @@ -190,7 +191,7 @@ def insert_flags(self): List of flags used to mark traces inserted for various reasons. """ - return ['USERINSERT', 'SYNCINSERT', 'MASKINSERT', 'ORPHANINSERT'] + return ['USERINSERT', 'SYNCINSERT', 'MASKINSERT', 'ORPHANINSERT', 'ORDERINSERT'] @property def order_flags(self): @@ -862,6 +863,15 @@ def auto_trace(self, bpm=None, debug=False, show_stages=False): if show_stages: self.show(title='After synchronizing left-right traces into slits') + if not self.is_empty and self.par['add_missed_orders']: + self.order_refine(debug=debug) + # Check that the edges are still sinked (overkill?) + self.success = self.sync() + if not self.success: + return + if show_stages: + self.show(title='After adding in missing orders') + # First manually remove some traces, just in case a user # wishes to manually place a trace nearby a trace that # was automatically identified. One problem with adding @@ -3034,6 +3044,8 @@ def can_pca(self): and np.sum(good[self.is_right]) > self.par['pca_min_edges'] \ if self.par['left_right_pca'] else np.sum(good) > self.par['pca_min_edges'] + # TODO: Consolidate the options in `add_user_traces` with this function to + # enable more prediction options, not just the PCA. def predict_traces(self, edge_cen, side=None): """ Use the PCA decomposition to predict traces. @@ -4036,6 +4048,8 @@ def insert_traces(self, side, trace_cen, loc=None, mode='user', resort=True, nud left and right traces. - ``'mask'``: Traces were generated based on the expected slit positions from mask design data. + - ``'order'``: Traces are the expected location of an + echelle order. resort (:obj:`bool`, optional): Resort the traces in the spatial dimension; see @@ -4046,6 +4060,14 @@ def insert_traces(self, side, trace_cen, loc=None, mode='user', resort=True, nud :func:`nudge_traces`. """ + # TODO: When inserting traces and echelle orders are already matched, + # the length of the orderid vector is not longer valid. For now, just + # remove any existing array and warn the user they they'll need to + # rematch the orders. + if self.orderid is not None: + msgs.warn('Inserting traces invalidates order matching. Removing.') + self.orderid = None + # Check input _side = np.atleast_1d(side) ntrace = _side.size @@ -4906,6 +4928,57 @@ def _fill_objects_table(self, maskdef_id): # self._fill_design_table(register, _design_file) # self._fill_objects_table(register) + def order_refine(self, debug=False): + """ + For echelle spectrographs, attempt to add any orders that are not + present in the current set of edges. + """ + if self.spectrograph.pypeline != 'Echelle': + msgs.warn('Parameter add_missed_orders only valid for Echelle spectrographs.') + return + + # TODO: What happens if *more* edges are detected than there are + # archived order positions? + + # First match the expected orders + spat_offset = self.match_order() + + available_orders = self.orderid[1::2] + missed_orders = np.setdiff1d(self.spectrograph.orders, available_orders) + if missed_orders.size == 0: + # No missing orders, we're done + return + + # TODO: Vet good traces + + # Update the PCA + # TODO: Check that the edges can be PCA'd somewhere before this? + self.build_pca() + + # Find the indices of the missing orders + missed_orders_indx = utils.index_of_x_eq_y(self.spectrograph.orders, missed_orders) + + # Get the spatial positions of the new left and right order edges + add_right_edges = (self.spectrograph.order_spat_pos[missed_orders_indx] + + self.spectrograph.order_spat_width[missed_orders_indx]/2. + + spat_offset) * self.nspat + + add_left_edges = (self.spectrograph.order_spat_pos[missed_orders_indx] + - self.spectrograph.order_spat_width[missed_orders_indx]/2. + + spat_offset) * self.nspat + + side = np.append(np.full(add_left_edges.size, -1, dtype=int), + np.full(add_right_edges.size, 1, dtype=int)) + + missed_traces = self.predict_traces(np.append(add_left_edges, add_right_edges), + side=side) + + # Insert the traces + self.insert_traces(side, missed_traces, mode='order', nudge=False) + + # Rematch the orders + self.match_order() + def slit_spatial_center(self, normalized=True, spec=None, use_center=False, include_box=False): """ @@ -4992,6 +5065,10 @@ def match_order(self): The result of this method is to instantiate :attr:`orderid`. + Returns: + :obj:`float`: The median offset in pixels between the archived order + positions and those measured via the edge tracing. + Raises: PypeItError: Raised if the number of orders or their spatial @@ -5015,8 +5092,9 @@ def match_order(self): if offset is None: offset = 0.0 - # This requires the slits to be synced! Masked elements in - # slit_cen are for bad slits. + # Get the order centers in fractions of the detector width. This + # requires the slits to be synced! Masked elements in slit_cen are for + # bad slits. slit_cen = self.slit_spatial_center() # Calculate the separation between the order and every @@ -5028,11 +5106,12 @@ def match_order(self): # keep the signed value for reporting, but used the absolute # value of the difference for vetting below. sep = sep[(np.arange(self.spectrograph.norders),slit_indx)] - min_sep = np.absolute(sep) + med_offset = np.median(sep) + min_sep = np.absolute(sep - med_offset) # Report - msgs.info('Before vetting, the echelle order, matching left-right trace pair, and ' - 'matching separation are:') + msgs.info(f'Median offset is {med_offset:.3f}.') + msgs.info('After offsetting, order-matching separations are:') msgs.info(' {0:>6} {1:>4} {2:>6}'.format('ORDER', 'PAIR', 'SEP')) msgs.info(' {0} {1} {2}'.format('-'*6, '-'*4, '-'*6)) for i in range(self.spectrograph.norders): @@ -5042,14 +5121,12 @@ def match_order(self): # Single slit matched to multiple orders uniq, cnts = np.unique(slit_indx.compressed(), return_counts=True) for u in uniq[cnts > 1]: - indx = slit_indx == u - # Keep the one with the smallest separation - indx[np.argmin(min_sep[indx]) + np.where(indx)[0][1:]] = False - # Disassociate the other order from any slit - slit_indx[np.logical_not(indx) & (slit_indx == u)] = np.ma.masked - - # Flag and remove orders separated by more than the provided - # threshold + # Find the unmasked and multiply-matched indices + indx = (slit_indx.data == u) & np.logical_not(np.ma.getmaskarray(slit_indx)) + # Keep the one with the smallest separation and mask the rest + slit_indx[np.setdiff1d(np.where(indx), [np.argmin(min_sep[indx])])] = np.ma.masked + + # Flag orders separated by more than the provided threshold if self.par['order_match'] is not None: indx = (min_sep > self.par['order_match']) \ & np.logical_not(np.ma.getmaskarray(min_sep)) @@ -5081,6 +5158,8 @@ def match_order(self): indx = (2*slit_indx.compressed()[:,None] + np.tile(np.array([0,1]), (nfound,1))).ravel() self.orderid[indx] = (np.array([-1,1])[None,:]*found_orders[:,None]).ravel() + return med_offset + def get_slits(self): """ Use the data to instatiate the relevant diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 412881047c..d6eeca8686 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -2718,9 +2718,9 @@ def __init__(self, filt_iter=None, sobel_mode=None, edge_thresh=None, sobel_enha sync_predict=None, sync_center=None, gap_offset=None, sync_to_edge=None, bound_detector=None, minimum_slit_length=None, minimum_slit_length_sci=None, length_range=None, minimum_slit_gap=None, clip=None, order_match=None, - order_offset=None, use_maskdesign=None, maskdesign_maxsep=None, - maskdesign_step=None, maskdesign_sigrej=None, pad=None, add_slits=None, - add_predict=None, rm_slits=None): + order_offset=None, add_missed_orders=None, use_maskdesign=None, + maskdesign_maxsep=None, maskdesign_step=None, maskdesign_sigrej=None, pad=None, + add_slits=None, add_predict=None, rm_slits=None): # Grab the parameter names and values from the function # arguments @@ -3063,6 +3063,12 @@ def __init__(self, filt_iter=None, sobel_mode=None, edge_thresh=None, sobel_enha 'fraction of the detector spatial scale. If None, no offset ' \ 'is applied.' + defaults['add_missed_orders'] = False + dtypes['add_missed_orders'] = bool + descr['add_missed_orders'] = 'If orders are not detected by the automated edge tracing, ' \ + 'attempt to add them based on their expected positions on ' \ + 'on the detector. Echelle spectrographs only.' + defaults['use_maskdesign'] = False dtypes['use_maskdesign'] = bool descr['use_maskdesign'] = 'Use slit-mask designs to identify slits.' @@ -3162,9 +3168,9 @@ def from_dict(cls, cfg): 'det_buffer', 'max_nudge', 'sync_predict', 'sync_center', 'gap_offset', 'sync_to_edge', 'bound_detector', 'minimum_slit_length', 'minimum_slit_length_sci', 'length_range', 'minimum_slit_gap', 'clip', - 'order_match', 'order_offset', 'use_maskdesign', 'maskdesign_maxsep', - 'maskdesign_step', 'maskdesign_sigrej', 'pad', 'add_slits', 'add_predict', - 'rm_slits'] + 'order_match', 'order_offset', 'add_missed_orders', 'use_maskdesign', + 'maskdesign_maxsep', 'maskdesign_step', 'maskdesign_sigrej', 'pad', + 'add_slits', 'add_predict', 'rm_slits'] badkeys = np.array([pk not in parkeys for pk in k]) if np.any(badkeys): diff --git a/pypeit/spectrographs/keck_esi.py b/pypeit/spectrographs/keck_esi.py index 2782d30280..ce693f69c5 100644 --- a/pypeit/spectrographs/keck_esi.py +++ b/pypeit/spectrographs/keck_esi.py @@ -112,9 +112,14 @@ def default_pypeit_par(cls): par['calibrations']['tilts']['tracethresh'] = 10. #[10]*self.norders par['calibrations']['slitedges']['fit_order'] = 5 par['calibrations']['slitedges']['max_shift_adj'] = 3. - par['calibrations']['slitedges']['edge_thresh'] = 10. # Tough to get the bluest orders par['calibrations']['slitedges']['left_right_pca'] = True - par['calibrations']['slitedges']['fit_min_spec_length'] = 0.3 # Allow for a short detected blue order + + par['calibrations']['slitedges']['edge_thresh'] = 5.0 + par['calibrations']['slitedges']['det_min_spec_length'] = 0.2 + par['calibrations']['slitedges']['fit_min_spec_length'] = 0.4 + par['calibrations']['slitedges']['pca_sigrej'] = 1.5 + par['calibrations']['slitedges']['pca_order'] = 3 + par['calibrations']['slitedges']['add_missed_orders'] = True # Find object parameters par['reduce']['findobj']['find_trim_edge'] = [4,4] # Slit is too short to trim 5,5 especially with 2x binning par['reduce']['findobj']['maxnumber_sci'] = 2 # Slit is narrow so allow one object per order @@ -298,23 +303,30 @@ def norders(self): Number of orders for this spectograph. Should only defined for echelle spectrographs, and it is undefined for the base class. """ - return 10 # 20-6 + return 10 # 15-6 @property def order_spat_pos(self): """ Return the expected spatial position of each echelle order. """ - ord_spat_pos = np.array([0.316, 0.399, 0.475, 0.545, 0.609, 0.669, 0.723, 0.774, 0.823, - 0.869, 0.915, 0.965]) - return ord_spat_pos + return np.array([0.115, 0.245, 0.362, 0.465, 0.558, 0.642, 0.719, 0.791, 0.861, 0.933]) + + @property + def order_spat_width(self): + """ + Return the expected spatial width of each slit trace for each order, + relative to the spatial size of the detector. + """ + return np.array([0.0879, 0.0818, 0.0779, 0.0747, 0.0720, 0.0696, 0.0676, 0.0658, 0.0640, + 0.0617]) @property def orders(self): """ Return the order number for each echelle order. """ - return np.arange(15, 5, -1, dtype=int) + return np.arange(15, 5, -1, dtype=int) @property def spec_min_max(self): From 9df5aa3a9430ea41cd68ffd191de8cac4dc72840 Mon Sep 17 00:00:00 2001 From: Kyle Westfall Date: Fri, 28 Oct 2022 10:22:18 -1000 Subject: [PATCH 027/610] more par fixes from the jwst branch --- pypeit/par/pypeitpar.py | 13 +++++++------ pypeit/spectrographs/keck_esi.py | 1 + 2 files changed, 8 insertions(+), 6 deletions(-) diff --git a/pypeit/par/pypeitpar.py b/pypeit/par/pypeitpar.py index 196ad2243d..c507586afe 100644 --- a/pypeit/par/pypeitpar.py +++ b/pypeit/par/pypeitpar.py @@ -2716,7 +2716,8 @@ def __init__(self, filt_iter=None, sobel_mode=None, edge_thresh=None, sobel_enha trace_median_frac=None, trace_thresh=None, fwhm_uniform=None, niter_uniform=None, fwhm_gaussian=None, niter_gaussian=None, det_buffer=None, max_nudge=None, sync_predict=None, sync_center=None, gap_offset=None, sync_to_edge=None, - bound_detector=None, minimum_slit_dlength=None, dlength_range=None, + bound_detector=None, + minimum_slit_dlength=None, dlength_range=None, minimum_slit_length=None, minimum_slit_length_sci=None, length_range=None, minimum_slit_gap=None, clip=None, order_match=None, order_offset=None, add_missed_orders=None, overlap=None, use_maskdesign=None, @@ -3194,11 +3195,11 @@ def from_dict(cls, cfg): 'smash_range', 'edge_detect_clip', 'trace_median_frac', 'trace_thresh', 'fwhm_uniform', 'niter_uniform', 'fwhm_gaussian', 'niter_gaussian', 'det_buffer', 'max_nudge', 'sync_predict', 'sync_center', 'gap_offset', - 'sync_to_edge', 'bound_detector', 'minimum_slit_length', - 'minimum_slit_length_sci', 'length_range', 'minimum_slit_gap', 'clip', - 'order_match', 'order_offset', 'add_missed_orders', 'overlap', 'use_maskdesign', - 'maskdesign_maxsep', 'maskdesign_step', 'maskdesign_sigrej', 'pad', - 'add_slits', 'add_predict', 'rm_slits'] + 'sync_to_edge', 'bound_detector', 'minimum_slit_dlength', 'dlength_range', + 'minimum_slit_length', 'minimum_slit_length_sci', 'length_range', + 'minimum_slit_gap', 'clip', 'order_match', 'order_offset', 'add_missed_orders', + 'overlap', 'use_maskdesign', 'maskdesign_maxsep', 'maskdesign_step', + 'maskdesign_sigrej', 'pad', 'add_slits', 'add_predict', 'rm_slits'] badkeys = np.array([pk not in parkeys for pk in k]) if np.any(badkeys): diff --git a/pypeit/spectrographs/keck_esi.py b/pypeit/spectrographs/keck_esi.py index ce693f69c5..c28f088cdb 100644 --- a/pypeit/spectrographs/keck_esi.py +++ b/pypeit/spectrographs/keck_esi.py @@ -27,6 +27,7 @@ class KeckESISpectrograph(spectrograph.Spectrograph): name = 'keck_esi' camera = 'ESI' url = 'https://www.lco.cl/?epkb_post_type_1=mage' + ech_fixed_format = True telescope = telescopes.KeckTelescopePar() pypeline = 'Echelle' supported = False From b51dc59c3ee41f45b1fb07d426b3a450327de87e Mon Sep 17 00:00:00 2001 From: profxj Date: Fri, 28 Oct 2022 18:33:57 -0700 Subject: [PATCH 028/610] wavelengths --- pypeit/core/wavecal/templates.py | 10 ++++++++-- pypeit/spectrographs/keck_esi.py | 2 +- 2 files changed, 9 insertions(+), 3 deletions(-) diff --git a/pypeit/core/wavecal/templates.py b/pypeit/core/wavecal/templates.py index e973591a54..2aec8ba776 100644 --- a/pypeit/core/wavecal/templates.py +++ b/pypeit/core/wavecal/templates.py @@ -437,9 +437,11 @@ def xidl_arcspec(xidl_file, slit): return wv_vac.value, spec -def xidl_hires(xidl_file, specbin=1): +def xidl_esihires(xidl_file, specbin=1, order_vec=None, + log10=True): """ Read an XIDL format solution for Keck/HIRES + or Keck/ESI Note: They used air @@ -448,10 +450,12 @@ def xidl_hires(xidl_file, specbin=1): Keck/HIRES save file Returns: + tuple: np.ndarray, np.ndarray, np.ndarray of orders, wavelength, flux """ xidl_dict = readsav(xidl_file) - order_vec = xidl_dict['guess_ordr'] + if order_vec is None: + order_vec = xidl_dict['guess_ordr'] norders = order_vec.size nspec = xidl_dict['sv_aspec'].shape[1] @@ -476,6 +480,8 @@ def xidl_hires(xidl_file, specbin=1): else: order_mask[kk]=False continue + if not log10: + log10_wv_air = np.log10(log10_wv_air) wv_vac = airtovac(10**log10_wv_air * units.AA).value ispec = xidl_dict['sv_aspec'][kk,:] diff --git a/pypeit/spectrographs/keck_esi.py b/pypeit/spectrographs/keck_esi.py index c28f088cdb..c575dd70c5 100644 --- a/pypeit/spectrographs/keck_esi.py +++ b/pypeit/spectrographs/keck_esi.py @@ -98,7 +98,7 @@ def default_pypeit_par(cls): par['calibrations']['wavelengths']['cc_local_thresh'] = 0.50 # Reidentification parameters - par['calibrations']['wavelengths']['reid_arxiv'] = 'magellan_mage.fits' + par['calibrations']['wavelengths']['reid_arxiv'] = 'keck_esi_ECH.fits' par['calibrations']['wavelengths']['ech_fix_format'] = True # Echelle parameters par['calibrations']['wavelengths']['echelle'] = True From de94291ae0b739ef32eacf9ef82086bace41b0eb Mon Sep 17 00:00:00 2001 From: profxj Date: Fri, 28 Oct 2022 18:45:23 -0700 Subject: [PATCH 029/610] correct lamp --- pypeit/spectrographs/keck_esi.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pypeit/spectrographs/keck_esi.py b/pypeit/spectrographs/keck_esi.py index c575dd70c5..039bd6c668 100644 --- a/pypeit/spectrographs/keck_esi.py +++ b/pypeit/spectrographs/keck_esi.py @@ -91,7 +91,7 @@ def default_pypeit_par(cls): # 1D wavelength solution par['calibrations']['wavelengths']['rms_threshold'] = 0.20 # Might be grating dependent.. par['calibrations']['wavelengths']['sigdetect'] = 5.0 - par['calibrations']['wavelengths']['lamps'] = ['ThAr_MagE'] + par['calibrations']['wavelengths']['lamps'] = ['CuI', 'ArI', 'NeI', 'HgI', 'XeI', 'ArII'] par['calibrations']['wavelengths']['method'] = 'reidentify' par['calibrations']['wavelengths']['cc_thresh'] = 0.50 From 74dbdfca4b9d6620491b48eb5a26fc07d6e95815 Mon Sep 17 00:00:00 2001 From: profxj Date: Fri, 28 Oct 2022 18:45:42 -0700 Subject: [PATCH 030/610] ECH file --- .../arc_lines/reid_arxiv/keck_esi_ECH.fits | Bin 0 -> 662400 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create 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