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pro vyhledávání: '"Toher, Jennifer"'
Autor:
Toher, Jennifer
The detection of Gravitational Waves using the Laser Interferometer Space Antenna (LISA) will open whole new areas of physics and astrophysics for exploration. The lower frequency signals detected by the antenna will allow us to probe gravitational w
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.495260
Autor:
Pitkin, Matthew, Clark, James, Hendry, Martin A., Heng, Ik Siong, Messenger, Chris, Toher, Jennifer, Woan, Graham
Publikováno v:
J.Phys.Conf.Ser.122:012004,2008
We open the discussion into how the Laser Interferometer Space Antenna (LISA) observations of supermassive black-hole (SMBH) mergers (in the mass range ~10^6-10^8 Msun) may be complementary to pulsar timing-based gravitational wave searches. We consi
Externí odkaz:
http://arxiv.org/abs/0802.2460
Autor:
Babak, Stanislav, Baker, John G., Benacquista, Matthew J., Cornish, Neil J., Crowder, Jeff, Cutler, Curt, Larson, Shane L., Littenberg, Tyson B., Porter, Edward K., Vallisneri, Michele, Vecchio, Alberto, Auger, Gerard, Barack, Leor, Blaut, Arkadiusz, Bloomer, Ed, Brown, Duncan A., Christensen, Nelson, Clark, James, Fairhurst, Stephen, Gair, Jonathan R., Halloin, Hubert, Hendry, Martin, Jimenez, Arturo, Krolak, Andrzej, Mandel, Ilya, Messenger, Chris, Meyer, Renate, Mohanty, Soumya, Nayak, Rajesh, Petiteau, Antoine, Pitkin, Matt, Plagnol, Eric, Prix, Reinhard, Robinson, Emma L., Roever, Christian, Savov, Pavlin, Stroeer, Alexander, Toher, Jennifer, Veitch, John, Vinet, Jean-Yves, Wen, Linqing, Whelan, John T., Woan, Graham
Publikováno v:
Class.Quant.Grav.25:114037,2008
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 several data sets containing simulated instrument noise and gravitational-wave sources
Externí odkaz:
http://arxiv.org/abs/0711.2667
Autor:
Röver, Christian, Stroeer, Alexander, Bloomer, Ed, Christensen, Nelson, Clark, James, Hendry, Martin, Messenger, Chris, Meyer, Renate, Pitkin, Matt, Toher, Jennifer, Umstätter, Richard, Vecchio, Alberto, Veitch, John, Woan, Graham
Publikováno v:
Class.Quant.Grav.24:S521-S528,2007
In this paper we describe a Bayesian inference framework for analysis of data obtained by LISA. We set up a model for binary inspiral signals as defined for the Mock LISA Data Challenge 1.2 (MLDC), and implemented a Markov chain Monte Carlo (MCMC) al
Externí odkaz:
http://arxiv.org/abs/0707.3969
Autor:
Stroeer, Alexander, Veitch, John, Roever, Christian, Bloomer, Ed, Clark, James, Christensen, Nelson, Hendry, Martin, Messenger, Chris, Meyer, Renate, Pitkin, Matthew, Toher, Jennifer, Umstaetter, Richard, Vecchio, Alberto, Woan, Graham
Publikováno v:
Class.Quant.Grav.24:S541-S550,2007
We report on the analysis of selected single source data sets from the first round of the Mock LISA Data Challenges (MLDC) for white dwarf binaries. We implemented an end-to-end pipeline consisting of a grid-based coherent pre-processing unit for sig
Externí odkaz:
http://arxiv.org/abs/0704.0048
Akademický článek
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Akademický článek
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Autor:
Hanks, David A., Toher, Jennifer
Publikováno v:
Studio International; 1985, Vol. 198 Issue 1009, p40-42, 3p
