activity
20122021
most citedGravitational Waves and Gamma-rays from a Binary Neutron Star Merger: GW170817 and GRB 170817A

3.6k citations · 4.6k across the 9 of their papers we have counts for

collaborators

17 papers

cs.CV20211 cited

Joint Learning of Portrait Intrinsic Decomposition and Relighting

Mona Zehni, Shaona Ghosh, Krishna Sridhar +1

Inverse rendering is the problem of decomposing an image into its intrinsic components, i.e. albedo, normal and lighting. To solve this ill-posed problem from single image, state-o…

gr-qc2021

Rapid model comparison of equations of state from gravitational wave observation of binary neutron star coalescences

Shaon Ghosh, Xiaoshu Liu, Jolien Creighton +3

The discovery of the coalescence of binary neutron star GW170817 was a watershed moment in the field of gravitational wave astronomy. Among the rich variety of information that we…

astro-ph.HE202164 cited

First demonstration of early warning gravitational wave alerts

Ryan Magee, Deep Chatterjee, Leo P. Singer +33

Gravitational-wave observations became commonplace in Advanced LIGO-Virgo's recently concluded third observing run. 56 non-retracted candidates were identified and publicly announc…

gr-qc2021

Constraints on cosmic strings using data from the third Advanced LIGO-Virgo observing run

The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1586

We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 data set. Search results are presented for gravitational waves produced b…

astro-ph.HE2020

Kilonova Luminosity Function Constraints based on Zwicky Transient Facility Searches for 13 Neutron Star Mergers

Mansi M. Kasliwal, Shreya Anand, Tomas Ahumada +100

We present a systematic search for optical counterparts to 13 gravitational wave (GW) triggers involving at least one neutron star during LIGO/Virgo's third observing run. We searc…

astro-ph.HE2020

Enhancing Gravitational-Wave Science with Machine Learning

Elena Cuoco, Jade Powell, Marco Cavaglià +23

Machine learning has emerged as a popular and powerful approach for solving problems in astrophysics. We review applications of machine learning techniques for the analysis of grou…