A Monte Carlo approach to evolution of the far-infrared luminosity function with BLAST

摘要: We constrain the evolution of rest-frame far-infrared (FIR) luminosity function out to high redshift, by combining several pieces complementary information provided deep Balloon-borne Large-Aperture Submillimeter Telescope surveys at 250, 350 and 500 μm, as well other FIR millimetre data. Unlike most phenomenological models, we characterize uncertainties in our fitted parameters using Monte Carlo Markov Chains. use a bivariate local that depends only on 60-to-100 μm colour, along with single library galaxy spectral energy distributions indexed apply simple density evolution. surface sources, Cosmic Infrared Background (CIB) measurements redshift bright for which identifications have been made, this model. The precise across crucial range has eluded studies longer wavelengths (e.g. SCUBA MAMBO) shorter Spitzer), should provide key piece required study Our adoption methods enables us not find best-fitting model, but also explore correlations between parameters. model-fitting approach allows focus sources tension coming from combination data sets. specifically choice parametrization difficulty fitting CIB distribution near 1 mm. Existing future sets will be able dramatically improve fits, break strong degeneracies among models. Two particular examples are: obtaining robust placing tighter constraints shapes low-luminosity (L_(FIR) < 10^(10) L_⊙) sources.