gen_SimObs_from_sedgrid

beast.observationmodel.observations.gen_SimObs_from_sedgrid(sedgrid, sedgrid_noisemodel, nsim=100, compl_filter='F475W', ranseed=None, vega_fname=None, weight_to_use='weight', age_prior_model=None, mass_prior_model=None)[source]

Generate simulated observations using the physics and observation grids. The priors are sampled as they give the ensemble model for the stellar and dust distributions (IMF, Av distribution etc.). The physics model gives the SEDs based on the priors. The observation model gives the noise, bias, and completeness all of which are used in simulating the observations.

Currently written to only work for the toothpick noisemodel.

Parameters
sedgrid: grid.SEDgrid instance

model grid

sedgrid_noisemodel: beast noisemodel instance

noise model data

nsimint

number of observations to simulate

compl_filterstr

Filter to use for completeness (required for toothpick model). Set to max to use the max value in all filters.

ranseedint

used to set the seed to make the results reproducable, useful for testing

vega_fnamestring

filename for the vega info, useful for testing

weight_to_usestring (default=’weight’)

Set to either ‘weight’ (prior+grid), ‘prior_weight’, or ‘grid_weight’ to choose the weighting for SED selection.

age_prior_modeldict

age prior model in the BEAST dictonary format

mass_prior_modeldict

mass prior model in the BEAST dictonary format

Returns
simtableastropy Table

table giving the simulated observed fluxes as well as the physics model parmaeters