gen_SimObs_from_sedgrid¶
- beast.observationmodel.observations.gen_SimObs_from_sedgrid(sedgrid, sedgrid_noisemodel, nsim=100, compl_filter='max', complcut=None, magcut=None, 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.
- complcutfloat (defualt=None)
completeness cut for only including model seds above the cut where the completeness cut ranges between 0 and 1.
- magcutfloat (defualt=None)
faint-end magnitude cut for only including model seds brighter than the given magnitude in compl_filter.
- 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’, ‘grid_weight’, or ‘uniform’ (this option is valid only when nsim is supplied) 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