Published May 7, 2009
| Version v1
Journal article
A LISA data-analysis primer
Creators
- 1. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109 (United States)
Description
This paper is an introduction for the nonpractitioner to the ideas and issues of LISA data analysis, as reflected in the explorations and experiments of the participants in the Mock LISA Data Challenges. In particular, I discuss the methods and codes that have been developed for the detection and parameter estimation of supermassive black-hole binaries, extreme mass-ratio inspirals and galactic binaries.
Availability note (English)
Available from http://dx.doi.org/10.1088/0264-9381/26/9/094024Additional details
Identifiers
- DOI
- 10.1088/0264-9381/26/9/094024;
- PII
- S0264-9381(09)99368-6;
Publishing Information
- Journal Title
- Classical and Quantum Gravity
- Journal Volume
- 26
- Journal Issue
- 9
- Journal Page Range
- [12 p.]
- ISSN
- 0264-9381
- CODEN
- CQGRDG
Conference
- Title
- 7. international LISA symposium
- Dates
- 16-20 Jun 2008
- Place
- Barcelona (Spain)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 41105991
- Subject category
- S79: ASTROPHYSICS, COSMOLOGY AND ASTRONOMY;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- BLACK HOLES; DATA ANALYSIS; DETECTION; EXPLORATION; MASS