Tibeuleu/FOC_Reduction
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debug smooth_data call with 'arcsec' scale and reduce 3C405

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Thibault Barnouin
2021-06-02 16:33:03 +02:00
parent f4cc4f1f24
commit d43d454447
27 changed files with 35 additions and 27 deletions
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24
src/lib/reduction.py
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@@ -716,7 +716,7 @@ def align_data(data_array, error_array=None, upsample_factor=1., ref_data=None,
return rescaled_image, rescaled_error
def smooth_data(data_array, error_array, FWHM=1., scale='pixel',
def smooth_data(data_array, error_array, headers, FWHM=1., scale='pixel',
smoothing='gaussian'):
"""
Smooth a data_array using selected function.
@@ -727,6 +727,8 @@ def smooth_data(data_array, error_array, FWHM=1., scale='pixel',
error_array : numpy.ndarray
Array of images (2D floats, aligned and of the same shape) containing
the error in each pixel of the observation images in data_array.
headers : header list
List of headers corresponding to the images in data_array.
FWHM : float, optional
Full Width at Half Maximum for desired smoothing in 'scale' units.
Defaults to 1.
@@ -887,14 +889,18 @@ def polarizer_avg(data_array, error_array, headers, FWHM=None, scale='pixel',
err60_array = error_array[is_pol60]
err120_array = error_array[is_pol120]
headers0 = [header for header in headers if header['filtnam1']=='POL0']
headers60 = [header for header in headers if header['filtnam1']=='POL60']
headers120 = [header for header in headers if header['filtnam1']=='POL120']
if not(FWHM is None) and (smoothing.lower() in ['combine','combining']):
# Smooth by combining each polarizer images
pol0, err0 = smooth_data(pol0_array, err0_array, FWHM=FWHM,
scale=scale, smoothing=smoothing)
pol60, err60 = smooth_data(pol60_array, err60_array, FWHM=FWHM,
scale=scale, smoothing=smoothing)
pol120, err120 = smooth_data(pol120_array, err120_array, FWHM=FWHM,
scale=scale, smoothing=smoothing)
pol0, err0 = smooth_data(pol0_array, err0_array, headers0,
FWHM=FWHM, scale=scale, smoothing=smoothing)
pol60, err60 = smooth_data(pol60_array, err60_array, headers60,
FWHM=FWHM, scale=scale, smoothing=smoothing)
pol120, err120 = smooth_data(pol120_array, err120_array, headers120,
FWHM=FWHM, scale=scale, smoothing=smoothing)
else:
# Average on each polarization filter.
@@ -908,10 +914,12 @@ def polarizer_avg(data_array, error_array, headers, FWHM=None, scale='pixel',
err60 = np.mean(err60_array,axis=0)/np.sqrt(err60_array.shape[0])
err120 = np.mean(err120_array,axis=0)/np.sqrt(err120_array.shape[0])
polerr_array = np.array([err0, err60, err120])
headers_array = headers0 + headers60 + headers120
if not(FWHM is None):
# Smooth by convoluting with a gaussian each polX image.
pol_array, polerr_array = smooth_data(pol_array, polerr_array,
FWHM=FWHM, scale=scale)
headers_array, FWHM=FWHM, scale=scale)
pol0, pol60, pol120 = pol_array
err0, err60, err120 = polerr_array