Détail du document
Identifiant
oai:arXiv.org:2409.14288
Sujet
General Relativity and Quantum Cos... Astrophysics - Instrumentation and...Auteur
Sharma, Abhishek Sengupta, Anand S. Mukherjee, SuvodipCatégorie
sciences : astrophysique
Année
2024
Date de référencement
25/09/2024
Mots clés
binaries lisaRésumé
The Laser Interferometer Space Antenna (LISA) will be capable of detecting gravitational waves (GWs) in the milli-Hertz band.
Among various sources, LISA will detect the coalescence of supermassive black hole binaries (SMBHBs).
Accurate and rapid inference of parameters for such sources will be important for potential electromagnetic follow-up efforts.
Rapid Bayesian inference with LISA includes additional complexities as compared to current generation terrestrial detectors in terms of time and frequency dependent antenna response functions.
In this work, we extend a recently developed, computationally efficient technique that uses meshfree interpolation methods to accelerate Bayesian reconstruction of compact binaries.
Originally developed for second-generation terrestrial detectors, this technique is now adapted for LISA parameter estimation.
Using the full inspiral, merger, and ringdown waveform (PhenomD) and assuming rigid adiabatic antenna response function, we show faithful inference of SMBHB parameters from GW signals embedded in stationary, Gaussian instrumental noise.
We discuss the computational cost and performance of the meshfree approximation method in estimating the GW source parameters.
;Comment: 18 pages, 6 figure
Sharma, Abhishek,Sengupta, Anand S.,Mukherjee, Suvodip, 2024, Accelerated parameter estimation of supermassive black hole binaries in LISA using meshfree approximation
Projection-Specific Heterogeneity of the Axon Initial Segment of Pyramidal Neurons in the Prelimbic Cortex
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