Update code to add function (still WIP)
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1 changed files with 57 additions and 80 deletions
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@ -4,8 +4,6 @@ import matplotlib.backends.backend_qtagg as qt
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import matplotlib.figure as fig
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import utils
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rect = [0.125,0.11,0.775,0.77]
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calib_top = np.load( 'asset/calib_top.npy' )
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calib_down = np.load( 'asset/calib_down.npy' )
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@ -15,68 +13,76 @@ peaks_reference = np.sort( peaks_reference_sorted )
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mean_calib_top = np.mean( calib_top , axis = 0 )
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mean_calib_down = np.mean( calib_down , axis = 0 )
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peaks_calib_top = np.array(
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peaks_calib_top = np.array(
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utils.retrieve_peaks( mean_calib_top )
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).astype( int )
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peaks_calib_down = np.array(
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utils.retrieve_peaks( mean_calib_down )
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).astype( int )
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"""
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Signal without peaks
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"""
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peakless_calib_top = mean_calib_top.copy()
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for peak in peaks_calib_top:
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first = peak
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peak , old = first - 2 , first - 1
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while peakless_calib_top[ peak ] <= peakless_calib_top[ old ]:
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old = peak
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peak -= 1
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peakless_calib_top[ peak : first ] = peakless_calib_top[ peak ] * np.ones( first - peak )
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def remove_peaks( signal , peaks ):
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peakless_signal = signal.copy()
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for peak in peaks:
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first = peak
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peak , old = first - 2 , first - 1
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while peakless_signal[ peak ] <= peakless_signal[ old ]:
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old = peak
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peak -= 1
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peakless_signal[ peak : first ] = peakless_signal[ peak ] * np.ones( first - peak )
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peak , old = first + 2 , first + 1
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while peakless_calib_top[ peak ] <= peakless_calib_top[ old ]:
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old = peak
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peak += 1
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peakless_calib_top[ first : peak ] = peakless_calib_top[ peak ] * np.ones( peak - first )
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peak , old = first + 2 , first + 1
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while peakless_signal[ peak ] <= peakless_signal[ old ]:
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old = peak
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peak += 1
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peakless_signal[ first : peak ] = peakless_signal[ peak ] * np.ones( peak - first )
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peakless_calib_top = sig.medfilt( peakless_calib_top , 111 )
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return sig.medfilt( peakless_signal , 111 )
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peakless_calib_top = remove_peaks( mean_calib_top , peaks_calib_top )
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"""
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It's possible to have an idea of the part the spectrum begins with the
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small large peak at the start of it, the peak at 3810 A should be inside
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it. The same goes for the area at the end.
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ONLY TRUE FOR THE CURRENT CALIBRATION (Hg)
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"""
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argmin = np.argmin(
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peakless_calib_top[ : len( peakless_calib_top ) // 2 ]
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)
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argmax = np.argmax( peakless_calib_top[ : argmin ] )
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peaks_inside = np.where(
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np.logical_and(
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argmax < peaks_calib_top,
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argmin > peaks_calib_top,
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def get_extremities( signal ):
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"""
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It's possible to have an idea of the part the spectrum begins with the
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small large peak at the start of it, the peak at 3810 A should be inside
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it. The same goes for the area at the end.
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ONLY TRUE FOR THE CURRENT CALIBRATION (Hg)
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"""
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argmin = np.argmin(
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signal[ : len( signal ) // 2 ]
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)
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)[0]
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if len( peaks_inside ) < 1:
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raise Exception( 'unknown plage, cannot autocalibrate' )
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first_peak_cal = peaks_inside[0]
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argmax = np.argmax( peakless_calib_top[ : argmin ] )
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peaks_inside = np.where(
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np.logical_and(
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argmax < peaks_calib_top,
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argmin > peaks_calib_top,
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)
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)[0]
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if len( peaks_inside ) < 1:
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raise Exception( 'unknown plage, cannot autocalibrate' )
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first_peak = peaks_inside[0]
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"""
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The next peak after the minimum at the end of the spectrum should be
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5079 A.
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ONLY TRUE FOR THE CURRENT CALIBRATION (Hg)
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"""
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argmin_1 = np.argmin(
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peakless_calib_top[ len( peakless_calib_top ) // 2 : ]
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) + len( peakless_calib_top ) // 2
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peaks_inside = np.where(
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argmin_1 < peaks_calib_top
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)[0]
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if len( peaks_inside ) < 1:
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raise Exception( 'unknown plage, cannot autocalibrate' )
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return ( first_peak , peaks_inside[0] )
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first_peak_ref = 3 # hard-coded
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"""
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The next peak after the minimum at the end of the spectrum should be
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5079 A.
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ONLY TRUE FOR THE CURRENT CALIBRATION (Hg)
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"""
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argmin_1 = np.argmin(
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peakless_calib_top[ len( peakless_calib_top ) // 2 : ]
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) + len( peakless_calib_top ) // 2
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peaks_inside = np.where(
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argmin_1 < peaks_calib_top
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)[0]
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if len( peaks_inside ) < 1:
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raise Exception( 'unknown plage, cannot autocalibrate' )
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last_peak_cal = peaks_inside[0]
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last_peak_ref = 20 # hard-coded
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first_peak_cal , last_peak_cal = get_extremities( peakless_calib_top )
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"""
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delete if too much peak in calib
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@ -131,35 +137,6 @@ wavelength = np.polyval(
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)
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)
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manager = qt.FigureManager(
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qt.FigureCanvas(
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fig.Figure(
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figsize = ( 10 , 5 )
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),
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),
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0,
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)
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manager.canvas.figure.gca().plot(
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wavelength ,
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mean_calib_top,
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)
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manager.canvas.figure.gca().plot(
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wavelength ,
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peakless_calib_top,
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)
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manager.canvas.figure.gca().vlines(
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[
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wavelength[ argmin ] ,
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wavelength[ argmax ] ,
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wavelength[ argmin_1 ],
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] ,
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np.min( peakless_calib_top ),
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np.max( peakless_calib_top ),
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color = 'red' ,
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)
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manager.show()
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manager.start_main_loop()
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manager = qt.FigureManager(
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qt.FigureCanvas(
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fig.Figure(
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