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runMultiSpectra.py
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runMultiSpectra.py
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import numpy as np
import matplotlib.pyplot as plt
from spectractor import parameters
from spectractor.extractor.spectrum import Spectrum
from spectractor.fit.fit_multispectra import run_multispectra_minimisation, MultiSpectraFitWorkspace
def filter_data(file_names): # pragma: no cover
from scipy.stats import median_absolute_deviation
D = []
chi2 = []
dx = []
amplitude = []
regs = []
for name in file_names:
# try:
spectrum = Spectrum(name, fast_load=True)
D.append(spectrum.header["D2CCD"])
dx.append(spectrum.header["PIXSHIFT"])
regs.append(np.log10(spectrum.header["PSF_REG"]))
amplitude.append(np.sum(spectrum.data[300:]))
if "CHI2_FIT" in spectrum.header:
chi2.append(spectrum.header["CHI2_FIT"])
# except:
# print(f"fail to open {name}")
D = np.array(D)
dx = np.array(dx)
regs = np.array(regs)
chi2 = np.array(chi2)
k = np.arange(len(D))
plt.plot(k, amplitude)
plt.show()
plt.plot(k, D)
# plt.plot(k, np.polyval(np.polyfit(k, reg, deg=1), k))
plt.axhline(np.median(D))
plt.axhline(np.median(D) + 3 * median_absolute_deviation(D))
plt.axhline(np.median(D) - 3 * median_absolute_deviation(D))
plt.grid()
plt.title("D2CCD")
plt.show()
filter_indices = np.logical_and(D > np.median(D) - 3 * median_absolute_deviation(D),
D < np.median(D) + 3 * median_absolute_deviation(D))
if len(chi2) > 0:
filter_indices *= np.logical_and(chi2 > np.median(chi2) - 3 * median_absolute_deviation(chi2),
chi2 < np.median(chi2) + 3 * median_absolute_deviation(chi2))
filter_indices *= np.logical_and(dx > np.median(dx) - 3 * median_absolute_deviation(dx),
dx < np.median(dx) + 3 * median_absolute_deviation(dx))
filter_indices *= np.logical_and(regs > np.median(regs) - 3 * median_absolute_deviation(regs),
regs < np.median(regs) + 3 * median_absolute_deviation(regs))
plt.plot(k, D)
plt.title("D2CCD")
plt.plot(k[filter_indices], D[filter_indices], "ko")
plt.show()
plt.plot(k, dx)
plt.title("dx")
plt.plot(k[filter_indices], dx[filter_indices], "ko")
plt.show()
plt.plot(k, regs)
plt.title("regs")
plt.plot(k[filter_indices], regs[filter_indices], "ko")
plt.show()
if len(chi2) > 0:
plt.title("chi2")
plt.plot(k, chi2)
plt.plot(k[filter_indices], chi2[filter_indices], "ko")
plt.show()
return np.array(file_names)[filter_indices]
if __name__ == "__main__":
from argparse import ArgumentParser
from spectractor.config import load_config
from spectractor.fit.fitter import run_minimisation
import os
parser = ArgumentParser()
parser.add_argument(dest="input", metavar='path', default=["tests/data/reduc_20170530_134_spectrum.fits"],
help="Input fits file name. It can be a list separated by spaces, or it can use * as wildcard.",
nargs='*')
parser.add_argument("-d", "--debug", dest="debug", action="store_true",
help="Enter debug mode (more verbose and plots).", default=True)
parser.add_argument("-v", "--verbose", dest="verbose", action="store_true",
help="Enter verbose (print more stuff).", default=False)
parser.add_argument("-o", "--output_directory", dest="output_directory", default="outputs/",
help="Write results in given output directory (default: ./outputs/).")
parser.add_argument("-l", "--logbook", dest="logbook", default="ctiofulllogbook_jun2017_v5.csv",
help="CSV logbook file. (default: ctiofulllogbook_jun2017_v5.csv).")
parser.add_argument("-c", "--config", dest="config", default="config/ctio.ini",
help="INI config file. (default: config.ctio.ini).")
args = parser.parse_args()
parameters.VERBOSE = args.verbose
if args.debug:
parameters.DEBUG = True
parameters.VERBOSE = True
file_names = args.input
load_config(args.config)
file_names = []
disperser_label = "Thor300"
target_label = "HD111980"
input_directory = "../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/"
tag = "reduc"
extension = ".fits"
all_files = os.listdir(input_directory)
parameters.VERBOSE = False
parameters.DEBUG = False
# for file_name in sorted(all_files):
# if tag not in file_name or extension not in file_name or "spectrum" not in file_name:
# continue
# try:
# s = Spectrum(os.path.join(input_directory, file_name), fast_load=True)
# if s.disperser_label == disperser_label and s.target.label == target_label:
# file_names.append(os.path.join(input_directory, file_name))
# except:
# print(f"File {file_name} buggy.")
# HoloAmAg
# file_names = ['../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_064_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_069_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_074_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_079_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_084_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_089_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_094_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_099_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_104_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_109_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_114_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_119_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_124_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_129_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_134_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_139_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_144_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_149_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_154_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_159_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_164_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_169_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_174_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_179_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_184_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_189_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_194_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_199_spectrum.fits']
file_names = ['../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_064_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_069_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_074_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_079_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_084_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_089_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_094_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_099_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_104_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_109_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_114_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_119_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_124_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_129_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_134_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_139_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_144_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_149_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_154_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_159_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_164_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_169_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_174_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_179_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_184_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_189_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_194_spectrum.fits',
'../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_199_spectrum.fits']
# Thor300
# file_names = ['../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_066_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_071_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_076_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_081_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_086_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_091_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_096_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_101_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_106_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_111_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_116_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_121_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_126_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_131_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_136_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_141_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_146_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_151_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_156_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_161_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_166_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_171_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_176_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_181_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_186_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_191_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/sim_20170530_196_spectrum.fits']
# file_names = ['../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_061_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_066_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_071_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_076_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_081_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_086_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_091_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_096_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_101_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_106_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_111_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_116_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_121_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_126_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_131_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_136_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_141_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_146_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_151_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_156_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_161_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_166_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_171_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_176_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_181_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_186_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_191_spectrum.fits',
# '../CTIODataJune2017_reduced_RG715_v2_prod7.5/data_30may17_A2=0.1/reduc_20170530_196_spectrum.fits']
print(file_names)
file_names = filter_data(file_names)
parameters.VERBOSE = True
parameters.DEBUG = True
output_filename = f"outputs/test_multispectra_{disperser_label}_{target_label}"
w = MultiSpectraFitWorkspace(output_filename, file_names, bin_width=3, nsteps=1000, fixed_A1s=False,
burnin=200, nbins=10, verbose=1, plot=True, live_fit=True, inject_random_A1s=False)
run_multispectra_minimisation(w, method="newton")