Remnant black hole properties from numerical-relativity-informed perturbation theory and implications for waveform modelling

Tousif Islam, Scott E. Field, Gaurav Khanna

Preprint: arXiv:2301.07215 (2023)

Ritesh just posted his new paper on angular momentum in black hole binaries on the arXiv. The paper is collaborative work with Prof. Richard Price at MIT.

Angular Momentum for Black Hole Binaries in Numerical Relativity

Ritesh Bachhar, Richard Price, Gaurav Khanna

Preprint: arXiv:2301.01185 (2023)

Template bank for compact binary mergers in the fourth observing run of Advanced LIGO, Advanced Virgo, and KAGRA

 Shio Sakon, Leo Tsukada, Heather Fong, Chad Hanna, James Kennington, Shomik Adhicary, Kipp Cannon, Sarah Caudill, Bryce Cousins, Jolien D. E. Creighton, Becca Ewing, Patrick Godwin, Yun-Jing Huang, Rachael Huxford, Prathamesh Joshi, Ryan Magee, Cody Messick, Soichiro Morisaki, Debnandini Mukherjee, Wanting Niu, Alex Pace, Cort Posnansky, Surabhi Sachdev, Divya Singh, Ron Tapia , et al.

Preprint arXiv:2211.16674  (2022)

Adapting to noise distribution shifts in flow-based gravitational-wave inference

Jonas Wildberger, Maximilian Dax, Stephen R. Green, Jonathan Gair, Michael Pürrer, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf

Preprint: arXiv:2211.08801 (2022)

Statistical validation of the detection of a sub-dominant quasi-normal mode in GW190521

Collin D. Capano, Jahed Abedi, Shilpa Kastha, Alexander H. Nitz, Julian Westerweck, Yi-Fan Wang, Miriam Cabero, Alex B. Nielsen, Badri Krishnan

Preprint arXiv:2209.00640 (2022)

Search for Coincident Gravitational Wave and Long Gamma-Ray Bursts from 4-OGC and the Fermi-GBM/Swift-BAT Catalog

Yi-Fan Wang, Alexander H. Nitz, Collin D. Capano, Xiangyu Ivy Wang, Yu-Han Yang, Bin-Bin Zhang

Preprint Ap. J. Letters 939, L14 (2022)

Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference

Maximilian Dax, Stephen R. Green, Jonathan Gair, Michael Pürrer, Jonas Wildberger, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf

Preprint: arXiv:2210.05686

We combine amortized neural posterior estimation with importance sampling for fast and accurate gravitational-wave inference. We first generate a rapid proposal for the Bayesian posterior using neural networks, and then attach importance weights based on the underlying likelihood and prior. This provides (1) a corrected posterior free from network inaccuracies, (2) a performance diagnostic (the sample efficiency) for assessing the proposal and identifying failure cases, and (3) an unbiased estimate of the Bayesian evidence. By establishing this independent verification and correction mechanism we address some of the most frequent criticisms against deep learning for scientific inference. We carry out a large study analyzing 42 binary black hole mergers observed by LIGO and Virgo with the SEOBNRv4PHM and IMRPhenomXPHM waveform models. This shows a median sample efficiency of ≈10% (two orders-of-magnitude better than standard samplers) as well as a ten-fold reduction in the statistical uncertainty in the log evidence. Given these advantages, we expect a significant impact on gravitational-wave inference, and for this approach to serve as a paradigm for harnessing deep learning methods in scientific applications.

Virgo Detector Characterization and Data Quality: results from the O3 run &

Virgo Detector Characterization and Data Quality: tools

F. Acernese, M. Agathos, A. Ain, S. Albanesi, A. Allocca, A. Amato, T. Andrade, N. Andres, M. Andrés-Carcasona, T. Andrić, S. Ansoldi, S. Antier, T. Apostolatos, E. Z. Appavuravther, M. Arène, N. Arnaud, M. Assiduo, S. Assis de Souza Melo, P. Astone, F. Aubin, S. Babak, F. Badaracco, M. K. M. Bader, S. Bagnasco, J. Baird , et al.

Preprint arXiv:2210.15634  & arXiv:2210.15633 (2022)

A binary tree approach to template placement for searches for gravitational waves from compact binary mergers

Chad Hanna, James Kennington, Shio Sakon, Stephen Privitera, Miguel Fernandez, Jonathan Wang, Cody Messick, Alex Pace, Kipp Cannon, Prathamesh Joshi, Rachael Huxford, Sarah Caudill, Chiwai Chan, Bryce Cousins, Jolien D. E. Creighton, Becca Ewing, Heather Fong, Patrick Godwin, Ryan Magee, Duncan Meacher, Soichiro Morisaki, Debnandini Mukherjee, Hiroaki Ohta, Surabhi Sachdev, Divya Singh , et al.

Preprint arXiv:2209.11298 (2022)

4-OGC: Catalog of gravitational waves from compact-binary mergers

Alexander H. Nitz, Sumit Kumar, Yi-Fan Wang, Shilpa Kastha, Shichao Wu, Marlin Schäfer, Rahul Dhurkunde, Collin D. Capano

Preprint arXiv:2112.06878 (2022)