beast.observationmodel.noisemodel.splinter.make_splinter_noise_model(outname, sedgrid, frac_unc=0.1, absflux_a_matrix=None, **kwargs)[source]

Splinter noise model assumes that every filter is independent with any other. And assumes a fractional uncertainty at all fluxes. No ASTs are used.

outname: str

path and filename into which save the noise model

sedgrid: SEDGrid instance

sed model grid for everyone of which we will evaluate the model

frac_unc: float [default = 0.10 (10%)]

fractional flux uncertainy

absflux_a_matrix: ndarray

absolute calibration a matrix giving the fractional uncertainties including correlated terms (off diagonals) for the splinter model, only the diagonal terms are used

noisefile: str

noisemodel file name