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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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