trim_models

beast.fitting.trim_grid.trim_models(sedgrid, sedgrid_noisemodel, obsdata, sed_outname, noisemodel_outname, sigma_fac=3.0, n_detected=4, inFlux=True, trunchen=False)[source]

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. This program trims those models out of the SED grid so that time is not spent calculating model points that are always zero probability.

Parameters:

  • sedgrid (grid.SEDgrid instance) – model grid

  • sedgrid_noisemodel (beast noisemodel instance) – noise model data

  • obsdata (Observation object instance) – observation catalog

  • sed_outname (str) – name for output sed file

  • noisemodel_outname (str) – name for output noisemodel file

  • sigma_fac (float, optional) – factor for trimming the upper and lower range of grid so that the model range cuts off sigma_fac above and below the brightest and faintest models, respectively (default: 3.)

  • n_detected (int, optional) – minimum number of bands where ASTs yielded a detection for a given model, if fewer detections than n_detected this model gets eliminated (default: 4)

  • inFlux (bool, optional) – if true data are in fluxes (default: True)

  • trunchen (bool, optional) – if true use the trunchen noise model (default: False)