Exploring LIGO sensitivity across binary black hole parameter space

Document #:

LIGO-T2200251-v1

Document type:

T - Technical notes

Abstract:

As we look ahead to LIGO, Virgo and KAGRA (LVK)’s next observational run (O4) and future gravitational wave observatories such as Cosmic Explorer, understanding the sensitivity of a detector network to compact binary coalescences (CBCs) is important for estimating the merger rate density. The parameter space of CBCs is composed of many parameters, which are used to characterize the binary systems. In this work, we explore how the network sensitivity (space-time sensitive hypervolume) changes according to changes in the CBC population parameter space. Using Monte Carlo simulations, we calculate the averaged space-time sensitive hypervolume for different parameter configurations, marginalizing over subsets of the parameter space so that we can compare them.

Files in Document:

• Final Report (Yano_Daniela_final_report.pdf, file is not accessible)

Other Files:

• Final Presentation Power Point ((Yano_Daniela_LIGO_SURF_FinalPresentation_20200820.pptx, file is not accessible)
• First Interim Report (yano_first_interim_report_.pdf, file is not accessible)
• Research Proposal (yano_daniela_research_proposal.pdf, file is not accessible)
• Second Interim Report (yano_daniela_interim_report_2.pdf, file is not accessible)

Topics:

• Data Analysis

Authors:

• Daniela Yano
• Rhiannon Udall
• Jacob Golomb
• Alan Weinstein

Keywords:

SURF22 SURF2022

Referenced by:

• LIGO-T2200355: Final reports from LIGO SURF program, Summer 2022