I implemented an fitting procedure to my data. Procedures in order to access quality of my fitting:
i) Fit my off_laser data and estimate FWHM with dispersion given by VSM (laser off)
ii) smooth data (laser on+off)
iii) Option to re_check dispersion (normally ON) to fine adjust dispersion based on my gain/loss peaks (laser on).
iv) Fit my data with open parameters (energy array + number of desired orders given):
FWHM (first guess is (i) FWHM * old_dispersion / new_dispersion
The issue: i am experiencing large discrepancies in my first dispersion and the measured one. Also experiencing large discrepancies in my FWHM calculated when compared to my FWHM stimated visually.
First guess solution: I have many small residual peaks comming from afterglow. Of course we need to kick these out. Also, even if this is my first guess, i need to recheck other things as i have never tested this feature before. Fitting feature was only extensively tested in my power measurements
check figure to see how afterglow is comparable to my gain and loss peaks.
I implemented an fitting procedure to my data. Procedures in order to access quality of my fitting:
i) Fit my off_laser data and estimate FWHM with dispersion given by VSM (laser off) ii) smooth data (laser on+off) iii) Option to re_check dispersion (normally ON) to fine adjust dispersion based on my gain/loss peaks (laser on). iv) Fit my data with open parameters (energy array + number of desired orders given):
The issue: i am experiencing large discrepancies in my first dispersion and the measured one. Also experiencing large discrepancies in my FWHM calculated when compared to my FWHM stimated visually.
First guess solution: I have many small residual peaks comming from afterglow. Of course we need to kick these out. Also, even if this is my first guess, i need to recheck other things as i have never tested this feature before. Fitting feature was only extensively tested in my power measurements
check figure to see how afterglow is comparable to my gain and loss peaks.