Tibeuleu/FOC_Reduction
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Test reduction and error from ELR propositions

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This commit is contained in:
Thibault Barnouin
2021-06-03 16:19:55 +02:00
parent c1b0fead8a
commit 26fc1eb668
46 changed files with 1965 additions and 20 deletions
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10
src/lib/fits.py
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@@ -50,7 +50,7 @@ def get_obs_data(infiles, data_folder="", compute_flux=False):
def save_Stokes(I_stokes, Q_stokes, U_stokes, Stokes_cov, P, debiased_P, s_P,
s_P_P, PA, s_PA, s_PA_P, ref_header, filename, data_folder="",
s_P_P, PA, s_PA, s_PA_P, headers, filename, data_folder="",
return_hdul=False):
"""
Save computed polarimetry parameters to a single fits file,
@@ -64,9 +64,9 @@ def save_Stokes(I_stokes, Q_stokes, U_stokes, Stokes_cov, P, debiased_P, s_P,
its error propagated and assuming Poisson noise.
Stokes_cov : numpy.ndarray
Covariance matrix of the Stokes parameters I, Q, U.
ref_header : astropy.io.fits.header.Header
headers : header list
Header of reference some keywords will be copied from (CRVAL, CDELT,
INSTRUME, PROPOSID, TARGNAME, ORIENTAT).
INSTRUME, PROPOSID, TARGNAME, ORIENTAT, EXPTOT).
filename : str
Name that will be given to the file on writing (will appear in header).
data_folder : str, optional
@@ -85,6 +85,8 @@ def save_Stokes(I_stokes, Q_stokes, U_stokes, Stokes_cov, P, debiased_P, s_P,
Only returned if return_hdul is True.
"""
#Create new WCS object given the modified images
ref_header = headers[0]
exp_tot = np.array([header['exptime'] for header in headers]).sum()
new_wcs = wcs.WCS(ref_header).deepcopy()
if new_wcs.wcs.has_cd():
del new_wcs.wcs.cd
@@ -106,6 +108,8 @@ def save_Stokes(I_stokes, Q_stokes, U_stokes, Stokes_cov, P, debiased_P, s_P,
header = new_wcs.to_header()
header['instrume'] = (ref_header['instrume'], 'Instrument from which data is reduced')
header['photplam'] = (ref_header['photplam'], 'Pivot Wavelength')
header['photflam'] = (ref_header['photflam'], 'Inverse Sensitivity in DN/sec/cm**2/Angst')
header['exptot'] = (exp_tot, 'Total exposure time in sec')
header['proposid'] = (ref_header['proposid'], 'PEP proposal identifier for observation')
header['targname'] = (ref_header['targname'], 'Target name')
header['orientat'] = (ref_header['orientat'], 'Angle between North and the y-axis of the image')