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.

sedgridgrid.SEDgrid instance

model grid

sedgrid_noisemodelbeast noisemodel instance

noise model data

obsdataObservation object instance

observation catalog


name for output sed file


name for output noisemodel file

sigma_facfloat, 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_detectedint, 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)

inFluxbool, optional

if true data are in fluxes (default: True)

trunchenbool, optional

if true use the trunchen noise model (default: False)