Scale-invariance in the repeating fast radio burst 121102

Lin, Hai-Nan; Sang, Yu

doi:10.1093/mnras/stz3149

Cited by 18 publications

(26 citation statements)

References 45 publications

(79 reference statements)

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“…The consistency of q values for different temporal interval scale indicates the scale invariance of SGRs. This property have been found in the earthquakes (Wang et al 2015) and repeating FRBs (Lin & Sang 2020). Hence they might share the similar emission mechanism.…”

Section: Probability Density Functions Of Fluctuationssupporting

confidence: 61%

“…Hence in this paper we study the statistical properties of the dimensionless fluctuation, defined as zn = Zn/σ. The fluctuations of bursts of SGR J1550-5418 and repeating FRB 121102 have been shown to follow the Tsallis q-Gaussian distribution (Chang et al 2017;Lin & Sang 2020). The Tsallis q-Gaussian function (Tsallis 1988;Tsallis et al 1998) is defined as…”

Section: Probability Density Functions Of Fluctuationsmentioning

confidence: 99%

“…The magnetar association of FRBs motivate us to study the common properties shared by the two transients. For example, the power law distribution of the energy have been found in both SGRs (Cheng et al 1996;Göǧüş et al 1999Göǧüş et al , 2000Chang et al 2017;Cheng et al 2020) and repeating FRB 121102 (Wang & Yu 2017;Wang et al 2018;Wang & Zhang 2019;Lin & Sang 2020). Besides the power law property, the scale invariance of the size fluctuations has also been investigated in SGR (Chang et al 2017;Wei et al 2021) and repeating FRB 121102 (Lin & Sang 2020;Wei et al 2021).…”

Section: Introductionmentioning

confidence: 98%

“…For example, the power law distribution of the energy have been found in both SGRs (Cheng et al 1996;Göǧüş et al 1999Göǧüş et al , 2000Chang et al 2017;Cheng et al 2020) and repeating FRB 121102 (Wang & Yu 2017;Wang et al 2018;Wang & Zhang 2019;Lin & Sang 2020). Besides the power law property, the scale invariance of the size fluctuations has also been investigated in SGR (Chang et al 2017;Wei et al 2021) and repeating FRB 121102 (Lin & Sang 2020;Wei et al 2021). The power law distributions and the scaleinvariant structure of the energy fluctuations are predicted by self-organized criticality (SOC) systems (Bak et al 1987), which occurs in many natural systems exhibiting nonlinear energy dissipation.…”

Section: Introductionmentioning

confidence: 98%

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Statistical similarity between soft gamma repeaters and the repeating fast radio bursts

Sang,

Lin

2021

Preprint

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We study the statistical properties of the soft gamma repeater SGR 1935+2154. We find that the cumulative distributions of duration, waiting time, fluence, and flux can be well fitted by the bent power law. In addition, the probability density functions of fluctuations of duration, waiting time, fluence, and flux can well follow the Tsallis q-Gaussian function. The q values keep steady for different temporal scale intervals, indicating a scale-invariant structure of the bursts. Those features are very similar to the property of repeating fast radio burst FRB 121102, indicating the underlying association between origin of soft gamma repeaters and fast radio bursts.

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Section: Probability Density Functions Of Fluctuationssupporting

confidence: 61%

Section: Probability Density Functions Of Fluctuationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 98%

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Statistical similarity between soft gamma repeaters and the repeating fast radio bursts

Sang,

Lin

2021

Preprint

Self Cite

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“…Past studies of the energy distribution (Gourdji et al 2019;Lin & Sang 2020;Cruces et al 2021;Aggarwal et al 2021;Hewitt et al 2021) have found different power-law indices, but low numbers and different energy dependent completeness thresholds have complicated the comparisons. Li et al (2021b) found a bimodal energy distribution and that the higher energy bursts were only detectable in their earlier observations so that not only the rate changes but also the form of the energy distribution.…”

Section: Burst Energy Distributionmentioning

confidence: 99%

The FRB 20121102A November rain in 2018 observed with the Arecibo Telescope

Spitler¹,

Nimmo²,

Hewitt³

et al. 2022

Preprint

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We present 849 new bursts from FRB 20121102A detected with the 305-m Arecibo Telescope. Observations were conducted as part of our regular campaign to monitor the activity and evolution of burst properties. The 10 reported observations were carried out between 1150 and 1730 MHz and fall in the active period around November 2018. All bursts were dedispersed at the same dispersion measure and are consistent with a single value of (562.4 ± 0.1) pc cm −3 . The burst rate varies between 0 bursts and 218 ± 16 bursts per hour, the highest rate observed to date. The times between consecutive bursts show a bimodal distribution. We find that arrival times with separations > 0.1 s are best described as a Poisson process with varying rate, compared to models with additional parameters. Clustering on time-scales of 22 ms is reflecting a characteristic time-scale of the source and possibly the emission mechanism. We analyse the spectro-temporal structure of the bursts by fitting 2D Gaussians with a temporal drift to each sub-burst in the dynamic spectra. We find a linear relationship between the sub-burst's drift and its duration. At the same time the drifts are consistent with coming from the sad-trombone effect. This has not been predicted by current models. The energy distribution shows an excess of high energy bursts and is insufficiently modeled by a single power-law even within single observations. We find long-term changes in the energy distribution and the average spectrum compared to earlier and later published observations. Finally, despite the large burst rate we find no strict short-term periodicity.

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A comparison between repeating bursts of FRB 121102 and giant pulses from Crab pulsar and its applications

et al. 2021

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There are some similarities between bursts of repeating fast radio bursts (FRBs) and giant pulses (GPs) of pulsars. To explore possible relations between them, we study the cumulative energy distributions of these two phenomena using the observations of repeating FRB 121102 and the GPs of Crab pulsar. We find that the power-law slope of GPs (with fluence ≥130 Jy ms) is 2.85 ± 0.10. The energy distribution of FRB 121102 can be well fitted by a smooth broken power-law function. For the bursts of FRB 121102 above the break energy (1.22 ×10 37 erg), the best-fitting slope is 2.90 +0.55 −0.44 , similar to the index of GPs at the same observing frequency (∼1.4 GHz). We further discuss the physical origin of the repeating FRB 121102 in the framework of the super GPs model. And we find that the super GPs model involving a millisecond pulsar is workable and favored for explaining FRB 121102 despite that the magnetar burst model is more popular.

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Scale-invariance in the repeating fast radio burst 121102

Cited by 18 publications

References 45 publications

Statistical similarity between soft gamma repeaters and the repeating fast radio bursts

Statistical similarity between soft gamma repeaters and the repeating fast radio bursts

The FRB 20121102A November rain in 2018 observed with the Arecibo Telescope

A comparison between repeating bursts of FRB 121102 and giant pulses from Crab pulsar and its applications

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