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Showing papers by "C. Bradaschia published in 2009"


Journal ArticleDOI
Fausto Acernese1, M. Alshourbagy2, F. Antonucci, Sofiane Aoudia3, K. G. Arun4, P. Astone, G. Ballardin, Fabrizio Barone1, Lisa Barsotti2, M. Barsuglia5, Th. S. Bauer, Stefano Bigotta2, S. Birindelli3, M. A. Bizouard4, Claude Boccara6, François Bondu3, L. Bonelli2, L. Bosi, S. Braccini, C. Bradaschia, A. Brillet3, V. Brisson4, H. J. Bulten7, D. Buskulic8, G. Cagnoli, Enrico Calloni, E. Campagna9, Benjamin Canuel, F. Carbognani, Ludovico Carbone, F. Cavalier4, R. Cavalieri, G. Cella, E. Cesarini10, E. Chassande-Mottin5, Shourov Chatterji, Nelson Christensen, A.-C. Clapson4, F. Cleva3, E. Coccia11, M. Colombini12, Christian Corda2, Alessandra Corsi, Francesco Cottone13, J.-P. Coulon3, E. Cuoco, S. D'Antonio, Anna Dari13, V. Dattilo, M. Davier4, R. De Rosa, M. Del Prete14, L. Di Fiore, A. Di Lieto2, M. Di Paolo Emilio11, A. Di Virgilio, V. Fafone11, I. Ferrante2, F. Fidecaro2, I. Fiori, R. Flaminio6, J.-D. Fournier3, S. Frasca12, F. Frasconi, Luca Gammaitoni13, F. Garufi, E. Genin, A. Gennai, A. Giazotto, M. Granata5, V. Granata8, C. Greverie3, G. M. Guidi9, H. Heitmann3, P. Hello4, Stefan Hild15, D. Huet, P. La Penna, M. Laval3, N. Leroy4, N. Letendre8, M. Lorenzini, V. Loriette6, G. Losurdo, J.-M. Mackowski6, Ettore Majorana, N. Man3, M. Mantovani, Fabio Marchesoni, Frédérique Marion8, J. Marque, F. Martelli9, A. Masserot8, F. Menzinger, Christine Michel6, L. Milano, Y. Minenkov, Subhabrata Mitra3, Julien Moreau6, N. Morgado6, M. Mohan, A. Morgia11, Simona Mosca, B. Mours8, Igor Neri13, F. Nocera, G. Pagliaroli11, C. Palomba, F. Paoletti, Silvio Pardi, A. Pasqualetti, R. Passaquieti2, D. Passuello, Gianluca Persichetti, F. Piergiovanni9, L. Pinard6, Rosa Poggiani2, M. Punturo, P. Puppo, O. Rabaste5, P. Rapagnani12, Tania Regimbau3, F. Ricci12, A. Rocchi, L. Rolland8, Rocco Romano1, P. Ruggi, Benoit Sassolas6, D. Sentenac, B. L. Swinkels, R. Terenzi16, Alessandra Toncelli2, M. Tonelli2, E. Tournefier8, F. Travasso13, G. Vajente2, J. F. J. van den Brand7, S. Van Der Putten, D. Verkindt8, F. Vetrano9, A. Viceré9, J.-Y. Vinet3, H. Vocca, M. Was4, M. Yvert8 
TL;DR: In this paper, an analysis of the Virgo C7 data has been carried out for detecting the GW emission from the merger and ring-down phases of binary black hole coalescences, and the maximal detection distance for non-spinning high and equal mass black hole binary system obtained by this analysis was sime2.9 ± 0.1 Mpc.
Abstract: A search for gravitational wave burst events has been performed with the Virgo C7 commissioning run data that have been acquired in September 2005 over 5 days. It focused on unmodeled short duration signals in the frequency range 150 Hz to 2 kHz. A search aimed at detecting the GW emission from the merger and ring-down phases of binary black hole coalescences was also carried out. An extensive understanding of the data was required to be able to handle a burst search using the output of only one detector. A 90% confidence level upper limit on the number of expected events given the Virgo C7 sensitivity curve has been derived as a function of the signal strength, for unmodeled gravitational wave searches. The sensitivity of the analysis presented is, in terms of the root sum square strain amplitude, h_rss sime 10−20 Hz−1/2. This can be interpreted in terms of a frequentist upper limit on the rate {\cal{R}}_{90\%} of detectable gravitational wave bursts at the level of 1.1 events per day at a 90% confidence level. From the binary black hole search, we obtained the distance reach at 50% and 90% efficiency as a function of the total mass of the final black hole. The maximal detection distance for non-spinning high and equal mass black hole binary system obtained by this analysis in C7 data is sime2.9 ± 0.1 Mpc for a detection efficiency of 50% for a binary of total mass 80 Modot.

23 citations


Journal ArticleDOI
Fausto Acernese1, M Alshourbagy2, F. Antonucci3, Sofiane Aoudia4  +154 moreInstitutions (14)
TL;DR: The cleaning procedure used to produce the data that is analyzed for the search of periodic sources of gravitational waves is based on different steps, which are applied to both time and frequency domain data as discussed by the authors.
Abstract: The cleaning procedure used to produce the data that we analyze for the search of periodic sources of gravitational waves is based on different steps, which are applied to both time and frequency domain data. We have recently improved the procedure, which now consists of different steps. The use of a cleaned procedure is in principle important, since it is aimed to recover at best the observation time from the data by vetoing only times where disturbances act and not entire data chunks. Clearly, the effect of the procedure depends on the nature of the data, and is thus highly related to the detector characteristics in a particular run. We will here describe the whole cleaning chain, by giving details and examples based on the C7 and WSR10 Virgo runs.

12 citations