Tibeuleu/FOC_Reduction
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remove unnecessary header files, combine obs by sum of counts

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This commit is contained in:
Thibault Barnouin
2024-07-04 11:49:28 +02:00
parent 2b14ed84aa
commit 7a15b02b04
3 changed files with 93 additions and 90 deletions
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35
package/lib/fits.py
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@@ -93,7 +93,7 @@ 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, headers, data_mask, filename, data_folder="", return_hdul=False
I_stokes, Q_stokes, U_stokes, Stokes_cov, P, debiased_P, s_P, s_P_P, PA, s_PA, s_PA_P, header_stokes, data_mask, filename, data_folder="", return_hdul=False
):
"""
Save computed polarimetry parameters to a single fits file,
@@ -130,9 +130,8 @@ def save_Stokes(
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(ref_header).deepcopy()
exp_tot = header_stokes['exptime']
new_wcs = WCS(header_stokes).deepcopy()
if data_mask.shape != (1, 1):
vertex = clean_ROI(data_mask)
@@ -141,23 +140,23 @@ def save_Stokes(
new_wcs.wcs.crpix = np.array(new_wcs.wcs.crpix) - vertex[0::-2]
header = new_wcs.to_header()
header["TELESCOP"] = (ref_header["telescop"] if "TELESCOP" in list(ref_header.keys()) else "HST", "telescope used to acquire data")
header["INSTRUME"] = (ref_header["instrume"] if "INSTRUME" in list(ref_header.keys()) else "FOC", "identifier for instrument used to acuire data")
header["PHOTPLAM"] = (ref_header["photplam"], "Pivot Wavelength")
header["PHOTFLAM"] = (ref_header["photflam"], "Inverse Sensitivity in DN/sec/cm**2/Angst")
header["TELESCOP"] = (header_stokes["telescop"] if "TELESCOP" in list(header_stokes.keys()) else "HST", "telescope used to acquire data")
header["INSTRUME"] = (header_stokes["instrume"] if "INSTRUME" in list(header_stokes.keys()) else "FOC", "identifier for instrument used to acuire data")
header["PHOTPLAM"] = (header_stokes["photplam"], "Pivot Wavelength")
header["PHOTFLAM"] = (header_stokes["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["PROPOSID"] = (header_stokes["proposid"], "PEP proposal identifier for observation")
header["TARGNAME"] = (header_stokes["targname"], "Target name")
header["ORIENTAT"] = (np.arccos(new_wcs.wcs.pc[0, 0]) * 180.0 / np.pi, "Angle between North and the y-axis of the image")
header["FILENAME"] = (filename, "Original filename")
header["BKG_TYPE"] = (ref_header["BKG_TYPE"], "Bkg estimation method used during reduction")
header["BKG_SUB"] = (ref_header["BKG_SUB"], "Amount of bkg subtracted from images")
header["SMOOTH"] = (ref_header["SMOOTH"], "Smoothing method used during reduction")
header["SAMPLING"] = (ref_header["SAMPLING"], "Resampling performed during reduction")
header["P_INT"] = (ref_header["P_int"], "Integrated polarization degree")
header["sP_INT"] = (ref_header["sP_int"], "Integrated polarization degree error")
header["PA_INT"] = (ref_header["PA_int"], "Integrated polarization angle")
header["sPA_INT"] = (ref_header["sPA_int"], "Integrated polarization angle error")
header["BKG_TYPE"] = (header_stokes["BKG_TYPE"], "Bkg estimation method used during reduction")
header["BKG_SUB"] = (header_stokes["BKG_SUB"], "Amount of bkg subtracted from images")
header["SMOOTH"] = (header_stokes["SMOOTH"], "Smoothing method used during reduction")
header["SAMPLING"] = (header_stokes["SAMPLING"], "Resampling performed during reduction")
header["P_INT"] = (header_stokes["P_int"], "Integrated polarization degree")
header["sP_INT"] = (header_stokes["sP_int"], "Integrated polarization degree error")
header["PA_INT"] = (header_stokes["PA_int"], "Integrated polarization angle")
header["sPA_INT"] = (header_stokes["sPA_int"], "Integrated polarization angle error")
# Crop Data to mask
if data_mask.shape != (1, 1):