Comprehensive Analysis of a Dense Sample of FRB 121102 Bursts

Comprehensive Analysis of a Dense Sample of FRB 121102 Bursts
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DOI:
10.3847/1538-4357/ac2577
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发表时间:
2021-07
期刊:
The Astrophysical Journal
影响因子:
--
通讯作者:
K. Aggarwal;D. Agarwal;E. Lewis;R. Anna-Thomas;Jacob Cardinal Tremblay;S. Burke-Spolaor;M. Mclaughlin-M.
K. Aggarwal;D. Agarwal;E. Lewis;R. Anna-Thomas;Jacob Cardinal Tremblay;S. Burke-Spolaor;M. Mclaughlin-M.
中科院分区:
其他
文献类型:
--
作者:
K. Aggarwal;D. Agarwal;E. Lewis;R. Anna-Thomas;Jacob Cardinal Tremblay;S. Burke-Spolaor;M. Mclaughlin-M.

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我们提出了一个密集的重复样本的分析,从第一个重复的快速射电爆发,FRB 121102。我们重新分析了Gourdji等人使用的数据,并使用我们的单脉冲搜索管道检测到93个额外的突发。总的来说,我们使用阿雷西博望远镜在中心频率为1.4 GHz的三个小时的数据中检测到133个爆发,并开发了强大的建模策略来约束样本中所有爆发的光谱-时间特性。大多数的突发配置文件显示出散射的尾巴,和突发光谱很好地模拟了高斯与230 MHz的中值宽度。我们发现在1300 MHz以下没有发射,这与之前对FRB 121102的研究一致。我们还发现,峰值的对数正态分布的等待时间减少从207到75秒,使用我们更大的样本的突发,相比,Gourdji等人。我们的观察不赞成泊松或威布尔分布的突发率分布。我们使用多种技术搜索爆发中的周期性,但没有检测到任何显著的周期。累积爆发能量分布呈现出破碎的幂律形状,低能量和高能量的斜率分别为−0.4 ± 0.1和−1.8 ± 0.2,在(2.3 ± 0.2)× 1037 erg处出现破碎。我们提供我们的爆发拟合例程作为Python包burstfit 4 4 https://github.com/thepetabyteproject/burstfit,可用于使用鲁棒拟合技术对任何复杂的快速射电爆发或脉冲星脉冲的频谱图进行建模。所有其他分析脚本和结果都是公开的。5 5 https://github.com/thepetabyteproject/FRB121102 https://github.com/thepetabyteproject/burstfit https://github.com/thepetabyteproject/FRB121102
We present an analysis of a densely repeating sample of bursts from the first repeating fast radio burst, FRB 121102. We reanalyzed the data used by Gourdji et al. and detected 93 additional bursts using our single-pulse search pipeline. In total, we detected 133 bursts in three hours of data at a center frequency of 1.4 GHz using the Arecibo telescope, and develop robust modeling strategies to constrain the spectro-temporal properties of all of the bursts in the sample. Most of the burst profiles show a scattering tail, and burst spectra are well modeled by a Gaussian with a median width of 230 MHz. We find a lack of emission below 1300 MHz, consistent with previous studies of FRB 121102. We also find that the peak of the log-normal distribution of wait times decreases from 207 to 75 s using our larger sample of bursts, as compared to that of Gourdji et al. Our observations do not favor either Poissonian or Weibull distributions for the burst rate distribution. We searched for periodicity in the bursts using multiple techniques, but did not detect any significant period. The cumulative burst energy distribution exhibits a broken power-law shape, with the lower- and higher-energy slopes of −0.4 ± 0.1 and −1.8 ± 0.2, with the break at (2.3 ± 0.2) × 1037 erg. We provide our burst fitting routines as a Python package burstfit 4 4 https://github.com/thepetabyteproject/burstfit that can be used to model the spectrogram of any complex fast radio burst or pulsar pulse using robust fitting techniques. All of the other analysis scripts and results are publicly available. 5 5 https://github.com/thepetabyteproject/FRB121102 https://github.com/thepetabyteproject/burstfit https://github.com/thepetabyteproject/FRB121102