402 citations · 1.2k across the 25 of their papers we have counts for
10 papers · 1 filter
Method to search for inspiraling planetary-mass ultra-compact binaries using the generalized frequency-Hough transform in LIGO O3a data
Andrew L. Miller, Nancy Aggarwal, Sebastien Clesse +6
Gravitational waves from sub-solar mass primordial black holes could be detected in LIGO, Virgo and KAGRA data. Here, we apply a method originally designed to look for rapidly spin…
Enabling multi-messenger astronomy with continuous gravitational waves: early warning and sky localization of binary neutron stars in Einstein Telescope
Andrew L. Miller, Neha Singh, Cristiano Palomba
Next-generation gravitational-wave detectors will provide unprecedented sensitivity to inspiraling binary neutron stars and black holes, enabling detections at the peak of star for…
Cosmic Explorer: A Submission to the NSF MPSAC ngGW Subcommittee
Matthew Evans, Alessandra Corsi, Chaitanya Afle +73
Gravitational-wave astronomy has revolutionized humanity's view of the universe, a revolution driven by observations that no other field can make. This white paper describes an obs…
Distinguishing between dark-matter interactions with gravitational-wave detectors
Andrew L. Miller, Francesca Badaracco, Cristiano Palomba
Ground-based gravitational-wave interferometers could directly probe the existence of ultralight dark matter ( eV/) that couples to standard-mo…
Searching for Mini Extreme Mass Ratio Inspirals with Gravitational-Wave Detectors
Huai-Ke Guo, Andrew Miller
A compact object with a mass , such as a black hole of stellar or primordial origin or a neutron star, and a much lighter exotic compact object…
Probing new light gauge bosons with gravitational-wave interferometers using an adapted semi-coherent method
Andrew L. Miller, Pia Astone, Giacomo Bruno +12
We adapt a method, originally developed for searches for quasi-monochromatic, quasi-infinite gravitational-wave signals, to directly detect new light gauge bosons with laser interf…
A Machine Learning Based Source Property Inference for Compact Binary Mergers
Deep Chatterjee, Shaon Ghosh, Patrick R. Brady +4
The detection of the binary neutron star (BNS) merger, GW170817, was the first success story of multi-messenger observations of compact binary mergers. The inferred merger rate alo…
How effective is machine learning to detect long transient gravitational waves from neutron stars in a real search?
Andrew L. Miller, Pia Astone, Sabrina D'Antonio +12
We present a comprehensive study of the effectiveness of Convolution Neural Networks (CNNs) to detect long duration transient gravitational-wave signals lasting fro…
A method to search for long duration gravitational wave transients from isolated neutron stars using the generalized FrequencyHough
Andrew Miller, Pia Astone, Sabrina D'Antonio +10
We describe a method to detect gravitational waves lasting emitted by young, isolated neutron stars, such as those that could form after a supernova or a binary neu…
Sensitivity study using machine learning algorithms on simulated r-mode gravitational wave signals from newborn neutron stars
Antonis Mytidis, Athanasios Aris Panagopoulos, Orestis P. Panagopoulos +2
This is a follow-up sensitivity study on r-mode gravitational wave signals from newborn neutron stars illustrating the applicability of machine learning algorithms for the detectio…