Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Stroeer, Alexander"'
The Galactic population of close white dwarf binaries is expected to provide the largest number of gravitational wave sources for low frequency detectors such as the Laser Interferometer Space Antenna (LISA). Current data analysis techniques have dem
Externí odkaz:
http://arxiv.org/abs/1109.4978
Gravitational wave astronomy relies on the use of multiple detectors, so that coincident detections may distinguish real signals from instrumental artifacts, and also so that relative timing of signals can provide the sky position of sources. We show
Externí odkaz:
http://arxiv.org/abs/1105.4866
Autor:
Stroeer, Alexander, Nelemans, Gijs
We study the effect of short term variations of the evolution of AM CVn systems on their gravitational wave emissions and in particular LISA observations. We model the systems according to their equilibrium mass-transfer evolution as driven by gravit
Externí odkaz:
http://arxiv.org/abs/0909.1796
Autor:
Stroeer, Alexander, Veitch, John
Publikováno v:
Phys.Rev.D80:064032,2009
The Laser Interferometer Space Antenna (LISA) defines new demands on data analysis efforts in its all-sky gravitational wave survey, recording simultaneously thousands of galactic compact object binary foreground sources and tens to hundreds of backg
Externí odkaz:
http://arxiv.org/abs/0907.2198
Autor:
Aylott, Benjamin, Baker, John G., Boggs, William D., Boyle, Michael, Brady, Patrick R., Brown, Duncan A., Brügmann, Bernd, Buchman, Luisa T., Buonanno, Alessandra, Cadonati, Laura, Camp, Jordan, Campanelli, Manuela, Centrella, Joan, Chatterjis, Shourov, Christensen, Nelson, Chu, Tony, Diener, Peter, Dorband, Nils, Etienne, Zachariah B., Faber, Joshua, Fairhurst, Stephen, Farr, Benjamin, Fischetti, Sebastian, Guidi, Gianluca, Goggin, Lisa M., Hannam, Mark, Herrmann, Frank, Hinder, Ian, Husa, Sascha, Kalogera, Vicky, Keppel, Drew, Kidder, Lawrence E., Kelly, Bernard J., Krishnan, Badri, Laguna, Pablo, Lousto, Carlos O., Mandel, Ilya, Marronetti, Pedro, Matzner, Richard, McWilliams, Sean T., Matthews, Keith D., Mercer, R. Adam, Mohapatra, Satyanarayan R. P., Mroué, Abdul H., Nakano, Hiroyuki, Ochsner, Evan, Pan, Yi, Pekowsky, Larne, Pfeiffer, Harald P., Pollney, Denis, Pretorius, Frans, Raymond, Vivien, Reisswig, Christian, Rezzolla, Luciano, Rinne, Oliver, Robinson, Craig, Röver, Christian, Santamaría, Lucía, Sathyaprakash, Bangalore, Scheel, Mark A., Schnetter, Erik, Seiler, Jennifer, Shapiro, Stuart L., Shoemaker, Deirdre, Sperhake, Ulrich, Stroeer, Alexander, Sturani, Riccardo, Tichy, Wolfgang, Liu, Yuk Tung, van der Sluys, Marc, van Meter, James R., Vaulin, Ruslan, Vecchio, Alberto, Veitch, John, Viceré, Andrea, Whelan, John T., Zlochower, Yosef
Publikováno v:
Class.Quant.Grav.26:114008,2009
The 2008 NRDA conference introduced the Numerical INJection Analysis project (NINJA), a new collaborative effort between the numerical relativity community and the data analysis community. NINJA focuses on modeling and searching for gravitational wav
Externí odkaz:
http://arxiv.org/abs/0905.4227
Methods for detection and characterization of signals in noisy data with the Hilbert-Huang Transform
Publikováno v:
Phys.Rev.D79:124022,2009
The Hilbert-Huang Transform is a novel, adaptive approach to time series analysis that does not make assumptions about the data form. Its adaptive, local character allows the decomposition of non-stationary signals with hightime-frequency resolution
Externí odkaz:
http://arxiv.org/abs/0903.4616
Autor:
Stroeer, Alexander, Camp, Jordan
Publikováno v:
Class.Quant.Grav.26:114012,2009
The Ninja data analysis challenge allowed the study of the sensitivity of data analysis pipelines to binary black hole numerical relativity waveforms in simulated Gaussian noise at the design level of the LIGO observatory and the VIRGO observatory. W
Externí odkaz:
http://arxiv.org/abs/0903.2026
Autor:
Aylott, Benjamin, Baker, John G., Boggs, William D., Boyle, Michael, Brady, Patrick R., Brown, Duncan A., Brügmann, Bernd, Buchman, Luisa T., Buonanno, Alessandra, Cadonati, Laura, Camp, Jordan, Campanelli, Manuela, Centrella, Joan, Chatterji, Shourov, Christensen, Nelson, Chu, Tony, Diener, Peter, Dorband, Nils, Etienne, Zachariah B., Faber, Joshua, Fairhurst, Stephen, Farr, Benjamin, Fischetti, Sebastian, Guidi, Gianluca, Goggin, Lisa M., Hannam, Mark, Herrmann, Frank, Hinder, Ian, Husa, Sascha, Kalogera, Vicky, Keppel, Drew, Kidder, Lawrence E., Kelly, Bernard J., Krishnan, Badri, Laguna, Pablo, Lousto, Carlos O., Mandel, Ilya, Marronetti, Pedro, Matzner, Richard, McWilliams, Sean T., Matthews, Keith D., Mercer, R. Adam, Mohapatra, Satyanarayan R. P., Mroué, Abdul H., Nakano, Hiroyuki, Ochsner, Evan, Pan, Yi, Pekowsky, Larne, Pfeiffer, Harald P., Pollney, Denis, Pretorius, Frans, Raymond, Vivien, Reisswig, Christian, Rezzolla, Luciano, Rinne, Oliver, Robinson, Craig, Röver, Christian, Santamaría, Lucía, Sathyaprakash, Bangalore, Scheel, Mark A., Schnetter, Erik, Seiler, Jennifer, Shapiro, Stuart L., Shoemaker, Deirdre, Sperhake, Ulrich, Stroeer, Alexander, Sturani, Riccardo, Tichy, Wolfgang, Liu, Yuk Tung, van der Sluys, Marc, van Meter, James R., Vaulin, Ruslan, Vecchio, Alberto, Veitch, John, Viceré, Andrea, Whelan, John T., Zlochower, Yosef
Publikováno v:
Class.Quant.Grav.26:165008,2009
The Numerical INJection Analysis (NINJA) project is a collaborative effort between members of the numerical relativity and gravitational-wave data analysis communities. The purpose of NINJA is to study the sensitivity of existing gravitational-wave s
Externí odkaz:
http://arxiv.org/abs/0901.4399
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