Tibeuleu/FOC_Reduction
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

add transmittance correction to Stokes fluxes computation

Browse Source
This commit is contained in:
Thibault Barnouin
2024-06-18 16:37:30 +02:00
parent 97479f90fb
commit 7ab87b50d1
2 changed files with 49 additions and 36 deletions
Download Patch File Download Diff File Expand all files Collapse all files

22
package/FOC_reduction.py
View File

@@ -35,24 +35,27 @@ def main(target=None, proposal_id=None, infiles=None, output_dir="./data", crop=
# Background estimation
error_sub_type = 'freedman-diaconis' # sqrt, sturges, rice, scott, freedman-diaconis (default) or shape (example (51, 51))
subtract_error = 0.50
subtract_error = 0.01
display_bkg = True
# Data binning
rebin = True
pxsize = 0.10
px_scale = 'arcsec' # pixel, arcsec or full
pxsize = 2
px_scale = 'px' # pixel, arcsec or full
rebin_operation = 'sum' # sum or average
# Alignement
align_center = 'center' # If None will not align the images
display_align = False
display_align = True
display_data = False
# Transmittance correction
transmitcorr = True
# Smoothing
smoothing_function = 'combine' # gaussian_after, weighted_gaussian_after, gaussian, weighted_gaussian or combine
smoothing_FWHM = 0.150 # If None, no smoothing is done
smoothing_scale = 'arcsec' # pixel or arcsec
smoothing_FWHM = None # If None, no smoothing is done
smoothing_scale = 'px' # pixel or arcsec
# Rotation
rotate_data = False # rotation to North convention can give erroneous results
@@ -120,10 +123,11 @@ def main(target=None, proposal_id=None, infiles=None, output_dir="./data", crop=
data_array, error_array, headers, background = proj_red.get_error(data_array, headers, error_array, data_mask=data_mask, sub_type=error_sub_type, subtract_error=subtract_error, display=display_bkg, savename="_".join([figname, "errors"]), plots_folder=plots_folder, return_background=True)
# Align and rescale images with oversampling.
data_array, error_array, headers, data_mask = proj_red.align_data(
data_array, headers, error_array=error_array, background=background, upsample_factor=10, ref_center=align_center, return_shifts=False)
data_array, error_array, headers, data_mask, shifts, error_shifts = proj_red.align_data(
data_array, headers, error_array=error_array, background=background, upsample_factor=10, ref_center=align_center, return_shifts=True)
if display_align:
print("Image shifts: {} \nShifts uncertainty: {}".format(shifts, error_shifts))
proj_plots.plot_obs(data_array, headers, savename="_".join([figname, str(align_center)]), plots_folder=plots_folder, norm=LogNorm(
vmin=data_array[data_array > 0.].min()*headers[0]['photflam'], vmax=data_array[data_array > 0.].max()*headers[0]['photflam']))
@@ -154,7 +158,7 @@ def main(target=None, proposal_id=None, infiles=None, output_dir="./data", crop=
# see Jedrzejewski, R.; Nota, A.; Hack, W. J., A Comparison Between FOC and WFPC2
# Bibcode : 1995chst.conf...10J
I_stokes, Q_stokes, U_stokes, Stokes_cov = proj_red.compute_Stokes(
data_array, error_array, data_mask, headers, FWHM=smoothing_FWHM, scale=smoothing_scale, smoothing=smoothing_function, transmitcorr=False)
data_array, error_array, data_mask, headers, FWHM=smoothing_FWHM, scale=smoothing_scale, smoothing=smoothing_function, transmitcorr=transmitcorr)
I_bkg, Q_bkg, U_bkg, S_cov_bkg = proj_red.compute_Stokes(background, background_error, np.array(True).reshape(
1, 1), headers, FWHM=None, scale=smoothing_scale, smoothing=smoothing_function, transmitcorr=False)