Five new real-time detections of fast radio bursts with UTMOST

Farah, W.; Flynn, Chris; Bailes, M.; Jameson, A.; Bateman, T.; Campbell-Wilson, D.; Day, Cherie K.; Deller, Adam T.; Green, Anne; Gupta, Vivek; Hunstead, R. W.; Lower, M. E.; Osłowski, S.; Parthasarathy, A.; Price, Danny C.; Ravi, Vikram; Shannon, R. M.; Sutherland, A.; Temby, D.; Krishnan, V. Venkatraman; Caleb, M.; Chang, Shu-Hao; Cruces, M.; Roy, Jayashree; Morello, Vincent; Onken, Christopher A.; Stappers, B. W.; Webb, Sara; Wolf, Christian

doi:10.1093/mnras/stz1748

Cited by 67 publications

(72 citation statements)

References 61 publications

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“…For the surveys that did publish rates, we convert the published rates into rates per survey expressed as the number of FRBs detected per day of observing time. In this paper we adopt R htru ∼ 0.08 FRBs/day (Champion et al 2016), R askap−fly ∼ 0.12 FRBs/day (Shannon et al 2018) and R palfa ∼ 0.04 FRBs/day (Patel et al 2018) and R utmost ∼ 1/63 FRBs/day (Farah et al 2018). These rates encapsulate limits by their survey nature, whether in terms of observing frequency, fluence thresholds, sky coverage or any other selection effects.…”

Section: Frb Detection Ratesmentioning

confidence: 99%

“…Currently set to follow the spectral index seen in pulsars, with a value of −1.4 (Bates et al 2013), a diverse range of predictions are present in the literature. Where for instance Macquart et al (2019) argue for a steep negative spectral index, Farah et al (2019) suggests a possible spectral turnover in line with Ravi & Loeb (2019). Further muddling the idea of a spectral index are repeater observations presenting indications of FRBs to be emitted in emission envelops (e.g.…”

Section: Observed Distributionsmentioning

confidence: 99%

“…Since their discovery at the Parkes telescope (Lorimer et al 2007; Thornton et al 2013), an array of other surveys have also detected FRBs (e.g. Spitler et al 2014;Farah et al 2018;Bannister et al 2017;Petroff et al 2019). The large majority of these appear as one-off bursts, despite extensive dedicated programs of several hunderds of hours (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Synthesising the intrinsic FRB population using frbpoppy

Gardenier

Leeuwen

Connor

et al. 2019

A&A

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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 goal is to determine the current best fit FRB population model. Our secondary aim is to provide an easy-to-use tool for simulating and understanding FRB detections. It can compare surveys, or inform us of the intrinsic FRB population. Methods. frbpoppy simulates intrinsic FRB populations and the surveys that find them, to produce virtual observed populations. These resulting populations can then be compared with real data, allowing constrains to be placed on underlying physics and selection effects.Results. We are able to replicate real Parkes and ASKAP FRB surveys, in terms of both detection rates and distributions observed. We also show the effect of beam patterns on the observed dispersion measure (DM) distributions. We compare four types of source models. The "Complex" model, featuring a range of luminosities, pulse widths and spectral indices, reproduces current detections best. Conclusions. Using frbpoppy, an open-source FRB population synthesis package, we explain current FRB detections and offer a first glimpse of what the true population must be.

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Section: Frb Detection Ratesmentioning

confidence: 99%

Section: Observed Distributionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Synthesising the intrinsic FRB population using frbpoppy

Gardenier

Leeuwen

Connor

et al. 2019

A&A

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“…This programme runs in parallel with searches for undiscovered pulsars and single pulses from rotating radio transients (RRATs), and Fast Radio Bursts (FRBs). These searches have already led to the discovery of thirteen FRBs (Caleb et al 2017;Farah et al 2018Farah et al , 2019Gupta et al 2019a,b,c,d) and the intermittent pulsar candidate PSR J1659−54 (Venkatraman Kr-E-mail: mlower@swin.edu.au 1 Not an acronym. ishnan et al 2020).…”

Section: Introductionmentioning

confidence: 99%

The UTMOST pulsar timing programme – II. Timing noise across the pulsar population

Lower

Bailes

Shannon

et al. 2020

Monthly Notices of the Royal Astronomical Society

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While pulsars possess exceptional rotational stability, large scale timing studies have revealed at least two distinct types of irregularities in their rotation: red timing noise and glitches. Using modern Bayesian techniques, we investigated the timing noise properties of 300 bright southern-sky radio pulsars that have been observed over 1.0-4.8 years by the upgraded Molonglo Observatory Synthesis Telescope (MOST). We reanalysed the spin and spin-down changes associated with nine previously reported pulsar glitches, report the discovery of three new glitches and four unusual glitch-like events in the rotational evolution of PSR J1825−0935. We develop a refined Bayesian framework for determining how red noise strength scales with pulsar spin frequency (ν) and spin-down frequency (ν), which we apply to a sample of 280 non-recycled pulsars. With this new method and a simple power-law scaling relation, we show that red noise strength scales across the non-recycled pulsar population as ν a |ν| b , where a = −0.84 +0.47 −0.49 and b = 0.97 +0.16 −0.19 . This method can be easily adapted to utilise more complex, astrophysically motivated red noise models. Lastly, we highlight our timing of the double neutron star PSR J0737−3039, and the rediscovery of a bright radio pulsar originally found during the first Molonglo pulsar surveys with an incorrectly catalogued position.

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“…The output of each fanbeam is an 8-bit filterbank with spectral and temporal resolution of 98 kHz and 327 µs respectively. These filterbanks were searched for FRBs using a modified version of HEIMDALL, and burst candidates are validated via a machine learning pipeline operating in real-time (Farah et al 2018(Farah et al , 2019. We searched for FRBs with widths in the range 327 µs to 42 ms, dispersion measures (DMs) in the range 0 <DM< 5000 pc cm −3 .…”

Section: ;mentioning

confidence: 99%

Probing the extragalactic fast transient sky at minute time-scales with DECam

Andreoni

Cooke

Webb

et al. 2019

Monthly Notices of the Royal Astronomical Society

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Searches for optical transients are usually performed with a cadence of days to weeks, optimised for supernova discovery. The optical fast transient sky is still largely unexplored, with only a few surveys to date having placed meaningful constraints on the detection of extragalactic transients evolving at sub-hour timescales. Here, we present the results of deep searches for dim, minute-timescale extragalactic fast transients using the Dark Energy Camera, a core facility of our all-wavelength and all-messenger Deeper, Wider, Faster programme. We used continuous 20 s exposures to systematically probe timescales down to 1.17 minutes at magnitude limits g > 23 (AB), detecting hundreds of transient and variable sources. Nine candidates passed our strict criteria on duration and non-stellarity, all of which could be classified as flare stars based on deep multi-band imaging. Searches for fast radio burst and gamma-ray counterparts during simultaneous multi-facility observations yielded no counterparts to the optical transients. Also, no long-term variability was detected with pre-imaging and follow-up observations using the SkyMapper optical telescope. We place upper limits for minute-timescale fast optical transient rates for a range of depths and timescales. Finally, we demonstrate that optical g-band light curve behaviour alone cannot discriminate between confirmed extragalactic fast transients such as prompt GRB flashes and Galactic stellar flares.

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Five new real-time detections of fast radio bursts with UTMOST

Cited by 67 publications

References 61 publications

Synthesising the intrinsic FRB population using frbpoppy

Synthesising the intrinsic FRB population using frbpoppy

The UTMOST pulsar timing programme – II. Timing noise across the pulsar population

Probing the extragalactic fast transient sky at minute time-scales with DECam

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