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Fit.md

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Light curve fit in sn_pipe

Install the fit package

python pip_sn_pack.py --action install --package sn_fit_lc

Run the fit

It may be done through:

  • the script run_sn_fit.py
  • the following notebook: SNFitLC.ipynb (notebooks directory)

Output

If the processing was uneventful, two files should be available in the output directory: prodid.yaml and Fit_prodid_fitter.hdf5

  • prodid.yaml: configuration file for the processing
  • Fit_prodid_fitter_num.hdf5: astropy Table of the result of the fit. 'fitter' is the name of the fitter. The list of available data is the following:
Dec RA color dL daymax ebvofMW epsilon_color epsilon_daymax epsilon_x0 epsilon_x1 healpixID pixDec pixRA ptime season snr_fluxsec_meth status survey_area x0 x1 z z_fit Cov_t0t0 Cov_t0x0 Cov_t0x1 Cov_t0color Cov_x0x0 Cov_x0x1 Cov_x0color Cov_x1x1 Cov_x1color Cov_colorcolor t0_fit x0_fit x1_fit color_fit mbfit fitstatus phase_min phase_max N_bef N_aft N_bef_u N_aft_u SNR_u N_bef_g N_aft_g SNR_g N_bef_r N_aft_r SNR_r N_bef_i N_aft_i SNR_i N_bef_z N_aft_z SNR_z N_bef_y N_aft_y SNR_y

Display result

It is possible to display some of the results of the fit using the sn_plotters package that can be installed using:

python pip_sn_pack.py --action install --package sn_plotters

Some plots may be obtained using plot_lcfit.py. The notebook SNFitLC.ipynb also illustrate how to access the file output of the fitting procedure and how to make plots.