English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Parameter estimation methods for analyzing overlapping gravitational wave signals in the third-generation detector era

Janquart, J., Baka, T., Samajdar, A., Dietrich, T., & Broeck, C. V. D. (in preparation). Parameter estimation methods for analyzing overlapping gravitational wave signals in the third-generation detector era.

Item is

Files

show Files
hide Files
:
2211.01304.pdf (Preprint), 2MB
Name:
2211.01304.pdf
Description:
File downloaded from arXiv at 2022-11-08 11:20
OA-Status:
Green
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show

Creators

show
hide
 Creators:
Janquart, Justin, Author
Baka, Tomasz, Author
Samajdar, Anuradha, Author
Dietrich, Tim1, 2, Author           
Broeck, Chris Van Den, Author
Affiliations:
1Multi-messenger Astrophysics of Compact Binaries, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, ou_3329942              
2Astrophysical and Cosmological Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, ou_1933290              

Content

show
hide
Free keywords: General Relativity and Quantum Cosmology, gr-qc
 Abstract: In the coming years, third-generation detectors such as the Einstein
Telescope and the Cosmic Explorer will enter the network of ground-based
gravitational-wave detectors. Their current design predicts a significantly
improved sensitivity band with a lower minimum frequency than existing
detectors. This, combined with the increased arm length, leads to two major
effects: the detection of more signals and the detection of longer signals.
Both will result in a large number of overlapping signals.
It has been shown that such overlapping signals can lead to biases in the
recovered parameters, which would adversely affect the science extracted from
the observed binary merger signals. In this work, we analyze overlapping binary
black hole coalescences with two methods to analyze multi-signal observations:
hierarchical subtraction and joint parameter estimation. We find that these
methods enable a reliable parameter extraction in most cases and that joint
parameter estimation is usually more precise but comes with higher
computational costs.

Details

show
hide
Language(s):
 Dates: 2022-11-02
 Publication Status: Not specified
 Pages: 15 pages, 17 figures
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: arXiv: 2211.01304
 Degree: -

Event

show

Legal Case

show

Project information

show

Source

show