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* lc_clean.py: iteratively clip the lightcurve and make a TXT-format
GTI file for use in xselect (for Suzaku data filtering)
* query_ned.py, query_simbad.py: query NED/SIMBAD using 'astroquery'
by supplying the source name
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* fit_betasbp_cut.py
- fixed 'dof' calculation with 'n-p-1'
- fixed 'par_eps' calculation/configuration
- added 'fit_model_bounds' using 'scipy.optimize.minimize' to
perform function minimization with bounds
- split the data cut section to function 'cut_data'
- added argument 'options' to 'fit_model_bounds'
* marx_pntsrc.py
Run MARX simulation on a given list of point sources, merge the
output simulation results, and finally convert into FITS image.
* blanksky_add_time.py
Add a time column for the chandra blanksky event file.
The time data are generated with a uniform distribution
between TSTART and TSTOP.
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* added 'fit_model_bounds' using 'scipy.optimize.minimize' to
perform function minimization with bounds
* split the data cut section to function 'cut_data'
* added argument 'options' to 'fit_model_bounds'
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fit_betasbp_cut.py:
* replace getopt with 'argparse'
* added 'get_parameter' to process model parameter initial value and bounds
* support read parameter bounds from input file
* added options '--s0', '--rc', '--beta', '--const' to get paramter
initial values and bounds
* renamed 'fit_beta_model' to 'fit_model', and added argument 'func' to
support other models
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fit_betasbp_cut.py:
* added support ignore the data points whose radius value less than the given value.
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fit_beta_model.py
* fit provided data with beta model
* ignore the inner-most n data points for the fitting
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