linarphy/naroo_reader
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Remove display

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linarphy 2023-07-18 15:10:30 +02:00
parent 7579a3dde1
commit 98efc87ee4
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GPG key ID: 3D4AAAC3AD16E79C
1 changed files with 4 additions and 22 deletions
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24
spectrum.py
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@ -12,8 +12,8 @@ import pathlib
from scipy.ndimage import rotate from scipy.ndimage import rotate
from astropy.io import fits from astropy.io import fits
cache , filename , output , calibration , intensity_calibration cache , filename , output , calibration = None , None , None , None
, verbose , no_cache = None , None , None , None , None , False, False intensity_calibration , verbose , no_cache = None , False, False
if len( sys.argv ) < 2: if len( sys.argv ) < 2:
raise Exception( 'spectrum.py: type \'spectrum.py -h\' for more information' ) raise Exception( 'spectrum.py: type \'spectrum.py -h\' for more information' )
@ -75,7 +75,7 @@ while i < len( argv ):
\nParse a naroo spectrum fits' ) \nParse a naroo spectrum fits' )
exit() exit()
elif arg == '--version': elif arg == '--version':
print( '0.3' ) print( '0.4' )
exit() exit()
elif arg == '--verbose': elif arg == '--verbose':
verbose = True verbose = True
@ -110,8 +110,6 @@ if verbose:
\n --verbose: True ( default to False)\ \n --verbose: True ( default to False)\
\n\ \n\
\n===========================================' ) \n===========================================' )
# TODO: check in advance file to check if exists or writeable
files = {} files = {}
if calibration != None: if calibration != None:
files[ 'wavelength' ] = pathlib.Path( calibration ) files[ 'wavelength' ] = pathlib.Path( calibration )
@ -126,7 +124,6 @@ for name , path in files.items():
if name in [ if name in [
'wavelength', 'wavelength',
'intensity' , 'intensity' ,
'spectrum' ,
] and not path.is_file(): ] and not path.is_file():
raise Exception( raise Exception(
'spectrum.py: could not open the ' + name + ' file' 'spectrum.py: could not open the ' + name + ' file'
@ -659,19 +656,11 @@ mean_bias = sp_convolve(
axis = 0, axis = 0,
) , ) ,
np.ones( np.ones(
(
50, 50,
) , ) ,
) ,
'same', 'same',
) / 50 ) / 50
plt.plot( bias[ 'top' ] , label = 'top' )
plt.plot( bias[ 'down' ] , label = 'down' )
plt.plot( mean_bias , label = 'mean' )
plt.legend()
plt.show()
data[ data[
: , : ,
spectrum[ 'x' ][ 'min' ] : spectrum[ 'x' ][ 'max' ] spectrum[ 'x' ][ 'min' ] : spectrum[ 'x' ][ 'max' ]
@ -683,13 +672,6 @@ data[
if verbose: if verbose:
print( 'bias substraction finished' ) print( 'bias substraction finished' )
ETA_bias = np.load( 'ETA_bias.npy' )
plt.plot( mean_bias , label = 'spectrum' )
plt.plot( ETA_bias , label = 'ETA' )
plt.legend()
plt.show()
mean_data = np.mean( data[ mean_data = np.mean( data[
spectrum[ 'y' ][ 'min' ] : spectrum[ 'y' ][ 'max' ], spectrum[ 'y' ][ 'min' ] : spectrum[ 'y' ][ 'max' ],
spectrum[ 'x' ][ 'min' ] : spectrum[ 'x' ][ 'max' ] spectrum[ 'x' ][ 'min' ] : spectrum[ 'x' ][ 'max' ]