pith. machine review for the scientific record. sign in

arxiv: 0912.0548 · v2 · submitted 2009-12-02 · 🌀 gr-qc

Recognition: unknown

The Mock LISA Data Challenges: from Challenge 3 to Challenge 4

Authors on Pith no claims yet
classification 🌀 gr-qc
keywords lisachallengechallengessnrsbinariesdatadatasetsinstrument
0
0 comments X
read the original abstract

The Mock LISA Data Challenges are a program to demonstrate LISA data-analysis capabilities and to encourage their development. Each round of challenges consists of one or more datasets containing simulated instrument noise and gravitational waves from sources of undisclosed parameters. Participants analyze the datasets and report best-fit solutions for the source parameters. Here we present the results of the third challenge, issued in Apr 2008, which demonstrated the positive recovery of signals from chirping Galactic binaries, from spinning supermassive--black-hole binaries (with optimal SNRs between ~ 10 and 2000), from simultaneous extreme-mass-ratio inspirals (SNRs of 10-50), from cosmic-string-cusp bursts (SNRs of 10-100), and from a relatively loud isotropic background with Omega_gw(f) ~ 10^-11, slightly below the LISA instrument noise.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Inpainting over the cracks: challenges of applying pre-merger searches for massive black hole binaries to realistic LISA datasets

    astro-ph.IM 2026-05 conditional novelty 6.0

    Inpainting allows recovery of pre-merger massive black hole binary signals in LISA data despite gaps and overlaps.