scholarly journals Systematic biases in parameter estimation of binary black-hole mergers

2013 ◽  
Vol 87 (10) ◽  
Author(s):  
Tyson B. Littenberg ◽  
John G. Baker ◽  
Alessandra Buonanno ◽  
Bernard J. Kelly
Keyword(s):  
Black Hole ◽  
Parameter Estimation ◽  
Binary Black Hole ◽  
Systematic Biases

scholarly journals Key elements of robustness in binary black hole evolutions using spectral methods

2014 ◽  
Vol 23 (07) ◽  
pp. 1430014 ◽  
Author(s):  
Béla Szilágyi
Keyword(s):  
Black Hole ◽  
Parameter Estimation ◽  
Adaptive Mesh Refinement ◽  
Adaptive Mesh ◽  
Design Sensitivity ◽  
Central Importance ◽  
Order Unity ◽  
Waveform Modeling ◽  
Binary Black Hole ◽  
Event Rates

As a network of advanced-era gravitational wave detectors is nearing its design sensitivity, efficient and accurate waveform modeling becomes more and more relevant. Understanding of the nature of the signal being sought can have an order unity effect on the event rates seen in these instruments. The paper provides a description of key elements of the Spectral Einstein Code (SpEC), with details of our spectral adaptive mesh refinement (AMR) algorithm that has been optimized for binary black hole (BBH) evolutions. We expect that the gravitational waveform catalog produced by our code will have a central importance in both the detection and parameter estimation of gravitational waves in these instruments.

scholarly journals Second RIT binary black hole simulations catalog and its application to gravitational waves parameter estimation

2019 ◽  
Vol 100 (2) ◽  
Author(s):  
James Healy ◽  
Carlos O. Lousto ◽  
Jacob Lange ◽  
Richard O’Shaughnessy ◽  
Yosef Zlochower ◽  
...  
Keyword(s):  
Black Hole ◽  
Parameter Estimation ◽  
Gravitational Waves ◽  
Binary Black Hole

scholarly journals Optimization of model independent gravitational wave search for binary black hole mergers using machine learning

2021 ◽  
Vol 104 (2) ◽  
Author(s):  
T. Mishra ◽  
B. O’Brien ◽  
V. Gayathri ◽  
M. Szczepańczyk ◽  
S. Bhaumik ◽  
...  
Keyword(s):  
Machine Learning ◽  
Black Hole ◽  
Gravitational Wave ◽  
Binary Black Hole ◽  
Model Independent

scholarly journals Binary black hole spectroscopy: A no-hair test of GW190814 and GW190412

2020 ◽  
Vol 102 (12) ◽  
Author(s):  
Collin D. Capano ◽  
Alexander H. Nitz
Keyword(s):  
Black Hole ◽  
Binary Black Hole

scholarly journals Binary black hole mergers from LIGO/Virgo O1 and O2: Population inference combining confident and marginal events

2020 ◽  
Vol 102 (12) ◽  
Author(s):  
Javier Roulet ◽  
Tejaswi Venumadhav ◽  
Barak Zackay ◽  
Liang Dai ◽  
Matias Zaldarriaga
Keyword(s):  
Black Hole ◽  
Binary Black Hole ◽  
Population Inference
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