2023
DOI: 10.1017/pasa.2023.51
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Modelling repetition in zDM: A single population of repeating fast radio bursts can explain CHIME data

C.W. James

Abstract: Regardless of whether or not all fast radio bursts (FRBs) repeat, those that do form a population with a distribution of rates. This work considers a power-law model of this population, with rate distribution Φ r ∼ Rγr between Rmin and Rmax. The zDM code is used to model the probability of detecting this population as either apparently once-off or repeat events as a function of redshift, z, and dispersion measure, DM. I demonstrate that in the nearby Universe, repeating sources can contribute sign… Show more

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Cited by 4 publications
(1 citation statement)
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References 92 publications
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“…The power-law burst rate distribution we have considered from James (2023) produces a good match for the data through CHIME/FRB Collaboration (2023), which to date has reported a near-linear pattern of detection incidence. After scaling the number of sources to match the total number of cumulative detections by CHIME/FRB to date, our model predicts this almost linear trend will continue for the next decade, in agreement with James (2023). Any drop in this overall detection rate within the next few years would clearly challenge this model.…”
Section: Repeater Detections Versus Timesupporting
confidence: 69%
“…The power-law burst rate distribution we have considered from James (2023) produces a good match for the data through CHIME/FRB Collaboration (2023), which to date has reported a near-linear pattern of detection incidence. After scaling the number of sources to match the total number of cumulative detections by CHIME/FRB to date, our model predicts this almost linear trend will continue for the next decade, in agreement with James (2023). Any drop in this overall detection rate within the next few years would clearly challenge this model.…”
Section: Repeater Detections Versus Timesupporting
confidence: 69%