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Results for the International Pulsar Timing Array Second Mock Data Challenge: New Techniques and Challenges for the Detection of Low-Frequency Gravitational-Wave Signals
P. T. Baker, P. R. Brook, W. C. Fiore +5
We present a detailed analysis of the International Pulsar Timing Array (IPTA) Second Mock Data Challenge. We tested our analysis methods using the open datasets, and then analyzed…
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 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…
The NANOGrav 11-Year Data Set: Evolution of Gravitational Wave Background Statistics
J. S. Hazboun, J. Simon, S. R. Taylor +60
An ensemble of inspiraling supermassive black hole binaries should produce a stochastic background of very low frequency gravitational waves. This stochastic background is predicte…
Relativistic Shapiro delay measurements of an extremely massive millisecond pulsar
H. Thankful Cromartie, Emmanuel Fonseca, Scott M. Ransom +24
Despite its importance to our understanding of physics at supranuclear densities, the equation of state (EoS) of matter deep within neutron stars remains poorly understood. Millise…
High-Precision X-ray Timing of Three Millisecond Pulsars with NICER: Stability Estimates and Comparison with Radio
J. S. Deneva, P. S. Ray, A. Lommen +45
The Neutron Star Interior Composition Explorer (NICER) is an X-ray astrophysics payload on the International Space Station. It enables unprecedented high-precision timing of millis…
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…