Fitting Module¶
beast.fitting.fit Module¶
BEAST Fitting functions
Functions¶
summary_table_memory (obs, noisemodel, sedgrid) |
Do the fitting in memory |
Q_all_memory (prev_result, obs, sedgrid, …) |
Fit each star, calculate various fit statistics, and output them to files. |
IAU_names_and_extra_info (obsdata[, …]) |
Generates IAU approved names for the data using RA & DEC and extra information about the sources (ra, dec, photometry, etc.) |
save_stats (stats_outname, stats_dict_in, …) |
Save various fitting statistics to a file |
save_pdf1d (pdf1d_outname, save_pdf1d_vals, …) |
Save the 1D PDFs to a file |
save_lnp (lnp_outname, save_lnp_vals) |
Save the nD lnps to a file |
beast.fitting.pdf1d Module¶
Classes¶
pdf1d (gridvals, nbins[, logspacing, minval, …]) |
Create an object which can be used to efficiently generate a 1D pdf for an observed object |
Class Inheritance Diagram¶
beast.fitting.pdf2d Module¶
Classes¶
pdf2d (gridvals_p1, gridvals_p2, nbins_p1, …) |
Create an object which can be used to efficiently generate a 2D pdf for an observed object |
Class Inheritance Diagram¶
beast.fitting.trim_grid Module¶
Functions¶
trim_models (sedgrid, sedgrid_noisemodel, …) |
For a given set of observations, there will be models that are so bright or faint that they will always have ~0 probability of fitting the data. |