Tibeuleu/FOC_Reduction
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update images for all objects

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This commit is contained in:
Thibault Barnouin
2021-06-07 16:33:42 +02:00
parent d1426e7fe1
commit f7b6d9dfaf
382 changed files with 15 additions and 17 deletions
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28
src/FOC_reduction.py
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@@ -16,22 +16,20 @@ import lib.plots as proj_plots #Functions for plotting data
def main():
##### User inputs
## Input and output locations
# globals()['data_folder'] = "../data/NGC1068_x274020/"
# infiles = ['x274020at.c0f.fits','x274020bt.c0f.fits','x274020ct.c0f.fits',
# 'x274020dt.c0f.fits','x274020et.c0f.fits','x274020ft.c0f.fits',
# 'x274020gt.c0f.fits','x274020ht.c0f.fits','x274020it.c0f.fits']
# globals()['plots_folder'] = "../plots/NGC1068_x274020/"
globals()['data_folder'] = "../data/NGC1068_x274020/"
infiles = ['x274020at.c0f.fits','x274020bt.c0f.fits','x274020ct.c0f.fits',
'x274020dt.c0f.fits','x274020et.c0f.fits','x274020ft.c0f.fits',
'x274020gt.c0f.fits','x274020ht.c0f.fits','x274020it.c0f.fits']
globals()['plots_folder'] = "../plots/NGC1068_x274020/"
# globals()['data_folder'] = "../data/NGC1068_x14w010/"
# infiles = ['x14w0101t_c0f.fits','x14w0102t_c0f.fits','x14w0103t_c0f.fits',
# 'x14w0104t_c0f.fits','x14w0105p_c0f.fits','x14w0106t_c0f.fits']
# infiles = ['x14w0101t_c1f.fits','x14w0102t_c1f.fits','x14w0103t_c1f.fits',
# 'x14w0104t_c1f.fits','x14w0105p_c1f.fits','x14w0106t_c1f.fits']
# globals()['plots_folder'] = "../plots/NGC1068_x14w010/"
globals()['data_folder'] = "../data/3C405_x136060/"
infiles = ['x1360601t_c0f.fits','x1360602t_c0f.fits','x1360603t_c0f.fits']
globals()['plots_folder'] = "../plots/3C405_x136060/"
# globals()['data_folder'] = "../data/3C405_x136060/"
# infiles = ['x1360601t_c0f.fits','x1360602t_c0f.fits','x1360603t_c0f.fits']
# globals()['plots_folder'] = "../plots/3C405_x136060/"
# globals()['data_folder'] = "../data/CygnusA_x43w0/"
# infiles = ['x43w0101r_c0f.fits', 'x43w0102r_c0f.fits', 'x43w0103r_c0f.fits',
@@ -88,12 +86,12 @@ def main():
psf_shape=(9,9)
iterations = 10
# Error estimation
error_sub_shape = (150,150)
error_sub_shape = (75,75)
display_error = False
# Data binning
rebin = True
if rebin:
pxsize = 0.50
pxsize = 0.10
px_scale = 'arcsec' #pixel or arcsec
rebin_operation = 'sum' #sum or average
# Alignement
@@ -101,13 +99,13 @@ def main():
display_data = False
# Smoothing
smoothing_function = 'combine' #gaussian_after, gaussian or combine
smoothing_FWHM = 1.00 #If None, no smoothing is done
smoothing_FWHM = 0.20 #If None, no smoothing is done
smoothing_scale = 'arcsec' #pixel or arcsec
# Rotation
rotate = True #rotation to North convention can give erroneous results
# Polarization map output
figname = '3C405_FOC' #target/intrument name
figtype = '_combine_FWHM100_rot' #additionnal informations
figname = 'NGC1068_FOC' #target/intrument name
figtype = '_combine_FWHM020_rot' #additionnal informations
SNRp_cut = 3 #P measurments with SNR>3
SNRi_cut = 30 #I measurments with SNR>30, which implies an uncertainty in P of 4.7%.
step_vec = 1 #plot all vectors in the array. if step_vec = 2, then every other vector will be plotted

4
src/lib/reduction.py
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@@ -384,9 +384,9 @@ def get_error(data_array, sub_shape=(15,15), display=False, headers=None,
minima = np.unravel_index(np.argmin(temp.sum(axis=0)),temp.shape[1:])
for i, image in enumerate(data):
rectangle[i] = minima[1], minima[0], sub_shape[0], sub_shape[1]
rectangle[i] = minima[1], minima[0], sub_shape[1], sub_shape[0]
# Compute error : root mean square of the background
sub_image = image[minima[1]:minima[1]+sub_shape[0],minima[0]:minima[0]+sub_shape[1]]
sub_image = image[minima[0]:minima[0]+sub_shape[0],minima[1]:minima[1]+sub_shape[1]]
#error = np.std(sub_image) # Previously computed using standard deviation over the background
error = np.sqrt(np.sum(sub_image**2)/sub_image.size)
error_array[i] *= error