![]() ![]() ![]() tick_params ( axis = 'both', which = 'minor', length = 3, width = 1, labelsize = 22 ) freq_all = lines M_all = lines # remove last outlier point freq_all = freq_all #/ 0.5 M_all = M_all #M_all =M_all/M_all.max() # fit MTF with a gaussian p0_g = popt, pcov = curve_fit ( Gaussian, freq_all, M_all, p0_g, maxfev = 8000 ) xnew = np. tick_params ( axis = 'both', which = 'major', length = 6, width = 1, labelsize = 22 ) ax. set_yticks ( minor_ticks_y, minor = True ) ax. ![]() set_xticks ( minor_ticks, minor = True ) ax. arange ( 0, 2, 0.1 ) major_ticks_y = np. set_ylabel ( 'MTF', fontsize = 24 ) major_ticks = np. set_xlabel ( 'Cycle/pixel', fontsize = 24 ) ax. figure ( figsize = ( 20, 14 ), dpi = 300 ) ax = figure. ![]()
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