436 citations · 2.3k across the 31 of their papers we have counts for
6 papers · 1 filter
The NANOGrav 11-Year Data Set: Limits on Gravitational Wave Memory
K. Aggarwal, Z. Arzoumanian, P. T. Baker +58
The mergers of supermassive black hole binaries (SMBHBs) promise to be incredible sources of gravitational waves (GWs). While the oscillatory part of the merger gravitational wavef…
A Search for Late-Time Radio Emission and Fast Radio Bursts from Superluminous Supernovae
C. J. Law, C. M. B. Omand, K. Kashiyama +10
We present results of a search for late-time radio emission and Fast Radio Bursts (FRBs) from a sample of type-I superluminous supernovae (SLSNe-I). We used the Karl G. Jansky Very…
A Deep Targeted Search for Fast Radio Bursts from the Sites of Low-Redshift Short Gamma-Ray Bursts
D. R. Madison, D. Agarwal, K. Aggarwal +11
Some short gamma-ray bursts (SGRBs) are thought to be caused by the mergers of binary neutron stars which may sometimes produce massive neutron star remnants capable of producing e…
Non-detection of fast radio bursts from six gamma-ray burst remnants with possible magnetar engines
Yunpeng Men, Kshitij Aggarwal, Ye Li +9
The analogy of the host galaxy of the repeating fast radio burst (FRB) source FRB 121102 and those of long gamma-ray bursts (GRBs) and super-luminous supernovae (SLSNe) has led to…
Radio Pulsar Populations
D. R. Lorimer, N. Pol, K. Rajwade +9
Our understanding of the neutron star population is informed to a great degree by large-scale surveys that have been carried out by radio facilities during the past fifty years. We…
FETCH: A deep-learning based classifier for fast transient classification
Devansh Agarwal, Kshitij Aggarwal, Sarah Burke-Spolaor +2
With the upcoming commensal surveys for Fast Radio Bursts (FRBs), and their high candidate rate, usage of machine learning algorithms for candidate classification is a necessity. S…