2019
DOI: 10.1051/0004-6361/201936404
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Synthesising the intrinsic FRB population using frbpoppy

Abstract: Context. Fast Radio Bursts (FRBs) are radio transients of an unknown origin. Naturally, we are curious as to their nature. Enough FRBs have been detected for a statistical approach to parts of this challenge to be feasible. To understand the crucial link between detected FRBs and the underlying FRB source classes we perform FRB population synthesis, to determine how the underlying population behaves. The Python package we developed for this synthesis, frbpoppy, is open source and freely available. Aims. Our go… Show more

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Cited by 37 publications
(54 citation statements)
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References 131 publications
(208 reference statements)
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“…Taylor & Manchester 1977). To this end, we presented frbpoppy in Gardenier et al (2019): a code base capable of modelling one-off FRBs, and thus constraining properties of the intrinsic FRB source population. Additional constraints on the FRB source population can, however, be found by looking at repeating FRB sources (see e.g.…”
Section: Simulating a Repeater Populationmentioning
confidence: 99%
See 4 more Smart Citations
“…Taylor & Manchester 1977). To this end, we presented frbpoppy in Gardenier et al (2019): a code base capable of modelling one-off FRBs, and thus constraining properties of the intrinsic FRB source population. Additional constraints on the FRB source population can, however, be found by looking at repeating FRB sources (see e.g.…”
Section: Simulating a Repeater Populationmentioning
confidence: 99%
“…When modelling the observations, repeating sources pose a greater challenge than one-off sources. One-off bursts have an equal chance of falling anywhere within a beam pattern (see Gardenier et al 2019). This no longer holds when considering repeating sources; here, the locations in the beam pattern of multiple bursts from a single source are correlated.…”
Section: Surveying Repeater Populationsmentioning
confidence: 99%
See 3 more Smart Citations