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Published October 2020 | Accepted Version + Published
Journal Article Open

What does FRB light-curve variability tell us about the emission mechanism?

Abstract

A few fast radio bursts' (FRBs) light curves have exhibited large intrinsic modulations of their flux on extremely short (⁠t_r ∼ 10μ) time-scales, compared to pulse durations (t_(FRB) ∼ 1 ms). Light-curve variability time-scales, the small ratio of rise time of the flux to pulse duration, and the spectro-temporal correlations in the data constrain the compactness of the source and the mechanism responsible for the powerful radio emission. The constraints are strongest when radiation is produced far (≳10¹⁰ cm) from the compact object. We describe different physical set-ups that can account for the observed t_r/t_(FRB) ≪ 1 despite having large emission radii. The result is either a significant reduction in the radio production efficiency or distinct light-curve features that could be searched for in observed data. For the same class of models, we also show that due to high-latitude emission, if a flux f₁(ν₁) is observed at t₁ then at a lower frequency ν₂ < ν₁ the flux should be at least (ν₂/ν₁)2f₁ at a slightly later time (t₂ = t₁ν₁/ν₂) independent of the duration and spectrum of the emission in the comoving frame. These features can be tested, once light-curve modulations due to scintillation are accounted for. We provide the time-scales and coherence bandwidths of the latter for a range of possibilities regarding the physical screens and the scintillation regime. Finally, if future highly resolved FRB light curves are shown to have intrinsic variability extending down to ∼μs time-scales, this will provide strong evidence in favour of magnetospheric models.

Additional Information

© 2020 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model). Received: 14 July 2020; Revision received: 14 August 2020; Accepted: 14 August 2020; Published: 19 August 2020. PB thanks Wenbin Lu and Ben Margalit for helpful discussions. The research of PB was funded by the Gordon and Betty Moore Foundation through grant GBMF5076. This work has been funded in part by an National Science Foundation grant AST-2009619. Data Availability: The data produced in this study will be shared on reasonable request to the authors.

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Accepted Version - 2007.07265.pdf

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Created:
August 19, 2023
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October 20, 2023