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Measuring the system response in the mid IR
In the mid-IR the system response is measured by monitoring the transmittance of the
probe light through a thin semi-conductor. skultrafast has an helper function to
analyze such a signal.
from skultrafast import messpy , data_io
fname = data_io . get_example_path ( 'sys_response' )
tz_result = messpy . get_t0 ( fname , display_result = False ,
t_range = ( - 2 , 0.3 ),
no_slope = False )
Newer version of lmfit have a html representation which is used by ipython, e.g.
in the notebook. Hence the line below will display the fit results.
Fit Result Model: (Model(gauss_step) + Model(linear))
Fit Statistics fitting method leastsq # function evals 37 # data points 22 # variables 5 chi-square 91.2206310 reduced chi-square 5.36591947 Akaike info crit. 41.2892500 Bayesian info crit. 46.7444622 R-squared 0.99752520
Parameters name value standard error relative error initial value min max vary expression amp 81.9317782 2.48696929 (3.04%) 99.29919985394302 -inf inf True center -0.51149116 0.00517126 (1.01%) -0.49999999999999867 -inf inf True sigma 0.07850873 0.00795484 (10.13%) 0.2 -inf inf True slope 6.64703722 1.71198403 (25.76%) 0.0 -inf inf True intercept 69.1447768 2.34423779 (3.39%) 56.77406164675155 -inf inf True FWHM 0.18488807 0.01873366 (10.13%) 0.47100000000000003 -inf inf False sigma*2.355
Correlations (unreported values are < 0.100) Parameter1 Parameter 2 Correlation slope intercept +0.9610 amp intercept -0.9252 amp slope -0.8852 amp sigma +0.5157 sigma intercept -0.4616 sigma slope -0.4316 center intercept +0.2353 center slope +0.1854 amp center -0.1036
Total running time of the script: (0 minutes 0.679 seconds)
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