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survey_list.py
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import survey
from astropy.cosmology import Planck18
from astropy import units as u
from astropy import constants as const
nu_21cm = 1420 * u.MHz
nu_CII = 1.900539e12 * u.Hz # Hz
nu_CO = 115.271203e9 * u.Hz # Hz
nu_OIII = 1e9 * u.Hz # Hz
lambda_21cm = nu_21cm.to(u.cm, equivalencies=u.spectral())
lambda_CII = nu_CII.to(u.um, equivalencies=u.spectral()) #158 um micrometers
lambda_CO = nu_CO.to(u.mm, equivalencies=u.spectral())
lambda_OIII = nu_OIII.to(u.cm, equivalencies=u.spectral())
specs_CCATp = {'type': 'interferometer',
'sigma_pix': 0.86 * (u.MJy * u.s**(1/2) / u.steradian),
'N_det': 20 * u.dimensionless_unscaled,
'theta_FWMH': 46.0 * u.arcsec,
'nu_obs_min': 200.0 * u.GHz,
'nu_obs_max': 300.0 * u.GHz,
'delta_nu': 2.5 * u.GHz,
't_obs': 3400 * u.hr,
'Omega_surv': 1.7 * u.degree**2,
'AGN Source': 'COSMOS'}
# specs from Parson, Pober et al.
# SOME OF THIS IS WRONG FOR PAPER JUST FYI
specs_PAPER = {'type': 'interferometer',
'sigma_pix': None,
'N_det': None,
'beam_width': .76 * u.steradian,
'min_baseline': 14.6 * u.m,
'max_baseline': 140 * u.m,
'D_dish': 140 * u.m,
'nu_obs_min': 100.0 * u.GHz,
'nu_obs_max': 200.0 * u.GHz,
'delta_nu': 97.8 * u.kHz,
'B_nu': 6 * u.MHz,
't_obs': 120 * u.day,
'S_A': 1440 * u.degree**2,
'N': 32, # number of antennas
'N_pol': 2,
'T_sys': 500 * u.K,
't_per_day': 6 * u.hr,
't_days': 120 * u.day,
'f_ratio': 3.34e4}
# specs pulled (partially) from:
# Pober et al. https://arxiv.org/pdf/1310.7031.pdf
specs_HERA = {'type': 'interferometer',
'sigma_pix': None,
'N_det': None,
'beam_width': 10**2 * u.degree**2,
'min_baseline': 14.6 * u.m,
'max_baseline': 600 * u.m,
'D_dish': 600 * u.m,
'nu_obs_min': 100.0 * u.GHz,
'nu_obs_max': 200.0 * u.GHz,
'delta_nu': 97.66 * u.kHz,
'B_nu': 6 * u.MHz,
't_obs': 120 * u.day,
'S_A': 1440 * u.degree**2,
'N': 32, # number of antennas
'N_pol': 331,
'T_sys': 300 * u.K, # at 160 MHz, just an average uses the full expression in survey.py
't_per_day': 12 * u.hr,
't_days': 18 * u.day,
't_int': 300 * u.s,
'f_ratio': 3.34e4}
# D_dish is specified due to coding laziness. Should be max_baseline
specs_HERA_future = {'type': 'interferometer',
'sigma_pix': None,
'N_det': None,
'beam_width': 1.0**2 * u.degree**2,
'min_baseline': 14.6 * u.m,
'max_baseline': 5000 * u.m, # must match 'D_dish'
'D_dish': 5000 * u.m,
'nu_obs_min': 100.0 * u.GHz,
'nu_obs_max': 200.0 * u.GHz,
'delta_nu': 97.66 * u.kHz,
'B_nu': 25.0 * u.MHz,
't_obs': 120 * u.day,
'S_A': 1440 * u.degree**2,
'N': 100, # number of antennas
'N_pol': 2,
'T_sys': 200 * u.K, # at 160 MHz, just an average uses the full expression in survey.py
't_per_day': 12 * u.hr,
't_days': 160 * u.day,
't_int': 300 * u.s,
'f_ratio': 3.34e4}
# FYST-like Stage II (formerly CCAT-prime) from Padmanabhan et al. (2021)
specs_StageII = {'type': 'dish',
'D_dish': 9 * u.m,
'delta_nu': 400 * u.MHz,
'N_spec_eff': 1,
'S_A': 100 * u.degree**2,
'sigma_N': 4.84e4 * u.Jy * u.s**(.5) / u.steradian,
'B_nu': 40 * u.GHz,
't_obs': 2000 * u.hr,
'Survey_Bandwidth_start': 212 * u.GHz,
'Survey_Bandwidth_finish': 428 * u.GHz}
# FYST-like State III/IV from Padmanabhan et al. (2021)
specs_StageIII = {'type': 'dish',
'D_dish': 9 * u.m,
'delta_nu': 400 * u.MHz,
'N_spec_eff': 16000,
'S_A': 100 * u.degree**2,
'sigma_N': 2.1e5 * u.Jy * u.s**(.5) / u.steradian,
'B_nu': 40 * u.GHz,
't_obs': 2000 * u.hr,
'Survey_Bandwidth_start': 212 * u.GHz,
'Survey_Bandwidth_finish': 428 * u.GHz}
# FYST-like State III/IV from Padmanabhan et al. (2021)
specs_CII_future = {'type': 'dish',
'D_dish': 10 * u.m,
'delta_nu': 300 * u.MHz,
'N_spec_eff': 16000,
'S_A': 100 * u.degree**2,
'sigma_N': 2.1e5 * u.Jy * u.s**(.5) / u.steradian,
'B_nu': 40 * u.GHz,
't_obs': 2000 * u.hr,
'Survey_Bandwidth_start': 212 * u.GHz,
'Survey_Bandwidth_finish': 428 * u.GHz}
# EXCLAIM-like from Padmanabhan et al. (2021)
specs_EXCLAIM = {'type': 'dish',
'D_dish': .74 * u.m,
'delta_nu': 1000 * u.MHz,
'N_spec_eff': 30,
'S_A': 100 * u.degree**2,
'sigma_N': 3.0e5 * u.Jy * u.s**(.5) / u.steradian,
'B_nu': 40 * u.GHz,
't_obs': 72 * u.hr,
'Survey_Bandwidth_start': 420 * u.GHz,
'Survey_Bandwidth_finish': 540 * u.GHz}
# EXCLAIM-like from Padmanabhan et al. (2021)
specs_OIII_future = {'type': 'dish',
'D_dish': 3.0 * u.m,
'delta_nu': 1000 * u.MHz,
'N_spec_eff': 30,
'S_A': 100 * u.degree**2,
'sigma_N': 3.0e5 * u.Jy * u.s**(.5) / u.steradian,
'B_nu': 40 * u.GHz,
't_obs': 72 * u.hr,
'Survey_Bandwidth_start': 420 * u.GHz,
'Survey_Bandwidth_finish': 540 * u.GHz}
specs_future = {'type': 'dish',
'D_dish': 3 * u.m,
'delta_nu': 300 * u.MHz,
'N_spec_eff': 50,
'S_A': 16 * u.degree**2,
'sigma_N': 1.6e5 * u.Jy * u.s**(.5) / u.steradian,
'B_nu': 100 * u.GHz,
't_obs': 4000 * u.hr,
'Survey_Bandwidth_start': 250 * u.GHz,
'Survey_Bandwidth_finish': 900 * u.GHz}