Improving Bayesian analysis for LISA Pathfinder using an efficient Markov Chain Monte Carlo method
出版年份 2014 全文链接
标题
Improving Bayesian analysis for LISA Pathfinder using an efficient Markov Chain Monte Carlo method
作者
关键词
Markov Chain Monte Carlo, LISA, eLISA, Gravitational waves, LISA Pathfinder, LISA technology package, LTP
出版物
EXPERIMENTAL ASTRONOMY
Volume 37, Issue 1, Pages 109-125
出版商
Springer Nature
发表日期
2014-02-01
DOI
10.1007/s10686-014-9372-7
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Time domain maximum likelihood parameter estimation in LISA Pathfinder data analysis
- (2012) G. Congedo et al. PHYSICAL REVIEW D
- Detection strategies for extreme mass ratio inspirals
- (2011) Neil J Cornish CLASSICAL AND QUANTUM GRAVITY
- LISA Pathfinder data analysis
- (2011) F Antonucci et al. CLASSICAL AND QUANTUM GRAVITY
- From laboratory experiments to LISA Pathfinder: achieving LISA geodesic motion
- (2011) F Antonucci et al. CLASSICAL AND QUANTUM GRAVITY
- LISA Pathfinder: mission and status
- (2011) F Antonucci et al. CLASSICAL AND QUANTUM GRAVITY
- Testing general relativity using Bayesian model selection: Applications to observations of gravitational waves from compact binary systems
- (2011) Walter Del Pozzo et al. PHYSICAL REVIEW D
- Search for spinning black hole binaries in mock LISA data using a genetic algorithm
- (2010) Antoine Petiteau et al. PHYSICAL REVIEW D
- Calibrating spectral estimation for the LISA Technology Package with multichannel synthetic noise generation
- (2010) Luigi Ferraioli et al. PHYSICAL REVIEW D
- Bayesian parameter estimation in the second LISA Pathfinder mock data challenge
- (2010) M. Nofrarias et al. PHYSICAL REVIEW D
- Cosmic swarms: a search for supermassive black holes in the LISA data stream with a hybrid evolutionary algorithm
- (2009) Jonathan R Gair et al. CLASSICAL AND QUANTUM GRAVITY
- An algorithm for the detection of extreme mass ratio inspirals in LISA data
- (2009) Stanislav Babak et al. CLASSICAL AND QUANTUM GRAVITY
- Use of the MULTINEST algorithm for gravitational wave data analysis
- (2009) Farhan Feroz et al. CLASSICAL AND QUANTUM GRAVITY
- LISA Pathfinder: the experiment and the route to LISA
- (2009) M Armano et al. CLASSICAL AND QUANTUM GRAVITY
- Bayesian approach to the detection problem in gravitational wave astronomy
- (2009) Tyson B. Littenberg et al. PHYSICAL REVIEW D
- The Mock LISA Data Challenges: from Challenge 1B to Challenge 3
- (2008) Stanislav Babak et al. CLASSICAL AND QUANTUM GRAVITY
- LISA Pathfinder
- (2008) P McNamara et al. CLASSICAL AND QUANTUM GRAVITY
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