Data quality studies for burst analysis of Virgo data acquired during Weekly Science Runs

Year: 2007

Authors: Acernese F., Amico P., Alshourbagy M., Antonucci F., Aoudia S., Astone P., Avino S., Babusci D., Ballardin G., Barone F., Barsotti L., Barsuglia M., Bauer Th S., Beauville F., Bigotta S., Birindelli S., Bizouard M. A., Boccara C., Bondu F., Bosi L., Bradaschia C., Braccini S., van den Brand F. J., Brillet A., Brisson V., Buskulic D., Calloni E., Campagna E., Carbognani F., Cavalier F., Cavalieri R., Cella G., Cesarini E., Chassande-Mottin E., Christensen N., Corda C., Corsi A., Cottone F., Clapson A-C, Cleva F., Coulon J-P, Cuoco E., Dari A., Dattilo V., Davier M., del Prete M., De Rosa R., Di Fiore L., Di Virgilio A., Dujardin B., Eleuteri A., Evans M., Ferrante I., Fidecaro F., Fiori I., Flaminio R., Fournier J-D, Frasca S., Frasconi F., Gammaitoni L., Garufi F., Genin E., Gennai A., Giazotto A., Giordano G., Giordano L., Gouaty R., Grosjean D., Guidi G., Hamdani S., Hebri S., Heitmann H., Hello P., Huet D., Karkar S., Kreckelbergh S., La Penna P., Laval M., Leroy N., Letendre N., Lopez B., Lorenzini, Loriette V., Losurdo G., Mackowski J-M, Majorana E., Man C. N., Mantovani M., Marchesoni F., Marion F., Marque J., Martelli F., Masserot A., Mazzoni M., Milano L., Menzinger F., Moins C., Moreau J., Morgado N., Mours B., Nocera F., Palomba C., Paoletti F., Pardi S., Pasqualetti A., Passaquieti R., Passuello D., Piergiovanni F., Pinard L., Poggiani R., Punturo M., Puppo P., van der Putten S., Qipiani K., Rapagnani P., Reita V., Remillieux A., Ricci F., Ricciardi I., Ruggi P., Russo G., Solimeno S., Spallicci A., Tarallo M., Tonelli M., Toncelli A., Tournefier E., Travasso F., Tremola C., Vajente G., Verkindt D., Vetrano F., Vicere A., Vinet J-Y, Vocca H., Yvert M.

Autors Affiliation: INFN, sezione di Napoli and Università di Napoli ‘Federico II’ Complesso Universitario di Monte S.Angelo, and Università di Salerno, Fisciano (Sa), Italy; INFN, Sezione di Perugia and Università di Perugia, Perugia, Italy; INFN, Sezione di Pisa and Università di Pisa, Pisa, Italy; INFN, Sezione di Roma and Università ‘La Sapienza’, Roma, Italy; Departement Artemis, Observatoire de la Cote d’Azur, BP 42209 06304 Nice, Cedex 4, France; INFN, Laboratori Nazionali di Frascati, Frascati (Rm), Italy; European Gravitational Observatory (EGO), Cascina (Pi), Italy; LAL, Univ Paris-Sud, IN2P3/CNRS, Orsay, France; NIKHEF, NL-1009 DB Amsterdam and Vrije Universiteit, NL-1081 HV Amsterdam, The Netherlands; Laboratoire d’Annecy-le-Vieux de Physique des Particules (LAPP), IN2P3/CNRS, Université de Savoie, Annecy-le-Vieux, France; ESPCI, Paris, France; INFN, Sezione di Firenze/Urbino, Sesto Fiorentino, and Università di Firenze, and Università di Urbino, Italy; LMA, Villeurbanne, Lyon, France

Abstract: Virgo started collecting science data during weekends in order to not interfere with commissioning activities. The goal of Weekly Science Runs is to ease the transition between commissioning periods and data taking periods, in addition to providing data sets exploiting the stationary behavior of the detector. The detection of gravitational wave (GW) bursts emitted by core collapse of supernovae is one of the most difficult tasks for the GW community due to the fact that there are uncertainties in the exact shape of the waveforms, as we do not have complete models. A major task for this kind of detection effort is the cleaning of the event triggers found by the detection pipelines, namely the removal of accidental transient signals due to noise source events. In order to clean our data from false GW events, we need to define a strategy for data quality cut and veto of auxiliary and environmental monitoring channels. In this paper we report on the analysis we performed on data acquired during Weekly Science Runs to explore and define the data quality cut and veto studies for burst analysis.

Journal/Review: CLASSICAL AND QUANTUM GRAVITY

Volume: 24 (19)      Pages from: S415  to: S422

KeyWords: Gravitational waves; Laser interferometry;
DOI: 10.1088/0264-9381/24/19/S05

ImpactFactor: 2.846
Citations: 4
data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2024-11-03
References taken from IsiWeb of Knowledge: (subscribers only)

Connecting to view paper tab on IsiWeb: Click here
Connecting to view citations from IsiWeb: Click here