- Tousif’s new paper on black hole remnant properties and impact on perturbation theory waveform models
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’s new paper on angular momentum in black hole binaries
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)
- Sarah’s paper on a new template bank for CBCs
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)
- Michael’s paper on adapting inference to changes in detector noise
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)
- Collin’s paper on validation of the detection of a sub-dominant quasi-normal mode in GW190521
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)
- Collin’s paper on coincident GW and GRBs
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)
- Michael’s new paper on fast and accurate GW inference with Max Planck collaborators
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.
- Sarah’s papers on Virgo detector characterization
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)
- Sarah’s paper on a binary tree approach for GW searches
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)
- Colin’s paper on an updated Open Gravitational-Wave Catalog
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)