Fast Radio Burst 121102 Pulse Detection and Periodicity: A Machine Learning Approach

@article{Zhang2018FastRB,
  title={Fast Radio Burst 121102 Pulse Detection and Periodicity: A Machine Learning Approach},
  author={Yunfan Gerry Zhang and Vishal Gajjar and Griffin Foster and Andrew P. V. Siemion and James M. Cordes and Casey J. Law and Yu Ting Wang},
  journal={The Astrophysical Journal},
  year={2018},
  volume={866}
}
We report the detection of 72 new pulses from the repeating fast radio burst FRB 121102 in Breakthrough Listen C-band (4–8 GHz) observations at the Green Bank Telescope. The new pulses were found with a convolutional neural network in data taken on 2017 August 26, where 21 bursts have been previously detected. Our technique combines neural network detection with dedispersion verification. For the current application, we demonstrate its advantage over a traditional brute-force dedispersion… 

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References

SHOWING 1-10 OF 56 REFERENCES

A Machine Learning Classifier for Fast Radio Burst Detection at the VLBA

TLDR
A machine learning classifier is trained and deployed that marks each candidate detection as a pulse from a known pulsar, an artifact due to radio frequency interference, or a potential new discovery, and it is found that time spent reviewing decreased and the fraction of interesting candidates increased.

Applying Deep Learning to Fast Radio Burst Classification

TLDR
It is shown that a single forward propagation through a moderate convolutional network could be faster than brute-force dedispersion, but the low signal-to-noise per pixel makes such a classifier suboptimal for this problem.

MULTIMOMENT RADIO TRANSIENT DETECTION

We present a multimoment technique for signal classification and apply it to the detection of fast radio transients in incoherently dedispersed data. Specifically, we define a spectral modulation

THE REPEATING FAST RADIO BURST FRB 121102: MULTI-WAVELENGTH OBSERVATIONS AND ADDITIONAL BURSTS

We report on radio and X-ray observations of the only known repeating Fast Radio Burst (FRB) source, FRB 121102. We have detected six additional radio bursts from this source: five with the Green

The Repeating Fast Radio Burst FRB 121102 as Seen on Milliarcsecond Angular Scales

The millisecond-duration radio flashes known as fast radio bursts (FRBs) represent an enigmatic astrophysical phenomenon. Recently, the sub-arcsecond localization (∼100 mas precision) of FRB 121102

Giant pulses from the Crab pulsar: A wide-band study

The Crab pulsar is well-known for its anomalous giant radio pulse emission. Past studies have concentrated only on the very bright pulses or were insensitive to the faint end of the giant pulse

Fast Radio Burst Discovered in the Arecibo Pulsar ALFA Survey

Recent work has exploited pulsar survey data to identify temporally isolated, millisecond-duration radio bursts with large dispersion measures (DMs). These bursts have been interpreted as arising

AN ACCURATE AND EFFICIENT ALGORITHM FOR DETECTION OF RADIO BURSTS WITH AN UNKNOWN DISPERSION MEASURE, FOR SINGLE-DISH TELESCOPES AND INTERFEROMETERS

TLDR
It is concluded that, using the suggested algorithms, maximally sensitive blind searches for dispersed pulses are feasible using existing facilities and an implementation of these algorithms is provided in Python and MATLAB.

A repeating fast radio burst

TLDR
These repeat bursts with high dispersion measure and variable spectra specifically seen from the direction of FRB 121102 support an origin in a young, highly magnetized, extragalactic neutron star.

Fast radio bursts as giant pulses from young rapidly rotating pulsars

We discuss possible association of fast radio bursts (FRBs) with supergiant pulses emitted by young pulsars (ages $\sim$ tens to hundreds of years) born with regular magnetic field but very short --
...