Sample plist output
Sample plist output
##
## SPECMEASURE -- use ascfit to fit line profiles to peaks in
## 1-d grating data
##
data_file = input data file (must end in '.dat')
#
# Data columns are: col1=position, col2=optional bin width
# if bin width present: col3=counts or flux, col4=counts_err or flux_err
# if bin width not present: col2=counts or flux, col3=counts_err or flux_err
#
num_cols = 3 number of columns in input data file
flux_corrected = no Is the input file flux corrected?
peaks_file = . input peaks file [root.peaks]
#
# In the cont_file and nocont_file files, all 4 columns must be present:
# col1=lambda, col2=bin width, col3=counts or flux, col3=counts_err or flux_err
#
cont_file = . input continuum file file [root_cont.dat]
nocont_file = . input (data - continuum) file [root_nocont.dat]
output_file1 = . output best fit params, data w/cont [root.fit1]
output_file2 = . output best fit params, data w/o cont [root.fit2]
model = gauss line profile type
fit_region = 2.0 fit region (line_center +/- (fit_region * fwhm_max))
grating = HEG Grating associated with the input data
max_fwhm = 4.0 max allowed fwhm = (line_spread_function * max_fwhm)
min_fwhm = 0.25 min allowed fwhm = (line_spread_function * min_fwhm)
max_continuum_slope = 0.1 Max allowed fractional change in the continuum across a given fit region
(use_ascfitlib = yes) Use ascfit library (yes or no), else use script with logs
(ascfit_method = simplex) ascfit method: powell, simplex, grid ...
(ascfit_stats = chi parent) ascfit stats: chi gaussian, chi gehrel, chi parent, cash, likelihood ...
(ascfit_confidence = 68.3) Confidence level for delta chi squared
(log_file1 = .) ascfit log file 1 [root.log1]
(log_file2 = .) ascfit log file 2 [root.log2]
(clobber = no) OK to overwrite existing output and log files?
(debug = 1) display level (0 = no display)
(mode = ql)