Modelling DSA, FAST and CRAFT surveys in a z-DM analysis and constraining a minimum FRB energy
arxiv(2024)
摘要
Fast radio burst (FRB) science primarily revolves around two facets: the
origin of these bursts and their use in cosmological studies. This work follows
from previous redshift-dispersion measure ($z$-DM) analyses in which we model
instrumental biases and simultaneously fit population parameters and
cosmological parameters to the observed population of FRBs. This sheds light on
both the progenitors of FRBs and cosmological questions. Previously, we have
completed similar analyses with data from the Australian Square Kilometer Array
Pathfinder (ASKAP) and the Murriyang (Parkes) Multibeam system. With this
manuscript, we additionally incorporate data from the Deep Synoptic Array (DSA)
and the Five-hundred-meter Aperture Spherical Telescope (FAST), invoke a Markov
chain Monte Carlo (MCMC) sampler and implement uncertainty in the Galactic DM
contributions. The latter leads to larger uncertainties in derived model
parameters than previous estimates despite the additional data. We provide
refined constraints on FRB population parameters and derive a new constraint on
the minimum FRB energy of log$\,E_{\mathrm{min}}$(erg)=39.49$^{+0.39}_{-1.48}$
which is significantly higher than bursts detected from strong repeaters. This
result may indicate a low-energy turnover in the luminosity function or may
suggest that strong repeaters have a different luminosity function to single
bursts. We also predict that FAST will detect 25-41% of their FRBs at $z
\gtrsim 2$ and DSA will detect 2-12% of their FRBs at $z \gtrsim 1$.
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