The NoEMi (Noise Frequency Event Miner) framework

T. Accadia*, F. Acernese, M. Agathos, P. Astone, G. Ballardin, F. Barone, M. Barsuglia, A. Basti, Th S. Bauer, M. Bebronne, M. Bejger, M. G. Beker, M. Bitossi, M. A. Bizouard, M. Blom, F. Bondu, L. Bonelli, R. Bonnand, V. Boschi, L. BosiB. Bouhou, S. Braccini, C. Bradaschia, M. Branchesi, T. Briant, A. Brillet, V. Brisson, T. Bulik, H. J. Bulten, D. Buskulic, C. Buy, E. Calloni, B. Canuel, F. Carbognani, F. Cavalier, R. Cavalieri, G. Cella, E. Cesarini, O. Chaibi, E. Chassande-Mottin, A. Chincarini, A. Chiummo, F. Cleva, E. Coccia, P. F. Cohadon, C. N. Colacino, J. Colas, A. Colla, M. Colombini, A. Conte, J. P. Coulon, E. Cuoco, S. D'Antonio, V. Dattilo, M. Davier, R. Day, R. De Rosa, G. Debreczeni, W. Del Pozzo, L. Di Fiore, A. Di Lieto, M. Di Paolo Emilio, A. Di Virgilio, A. Dietz, M. Drago, G. Endröczi, V. Fafone, I. Ferrante, F. Fidecaro, I. Fiori, R. Flaminio, L. A. Forte, J. D. Fournier, J. Franc, S. Franco, S. Frasca, F. Frasconi, M. Galimberti, L. Gammaitoni, F. Garufi, M. E. Gáspár, G. Gemme, E. Genin, A. Gennai, A. Giazotto, R. Gouaty, M. Granata, C. Greverie, G. M. Guidi, J. F. Hayau, A. Heidmann, H. Heitmann, P. Hello, G. Hemming, P. Jaranowski, R. J.G. Jonker, M. Kasprzack, I. Kowalska, A. Królak, N. Leroy, N. Letendre, T. G.F. Li, N. Liguori, M. Lorenzini, V. Loriette, G. Losurdo, E. Majorana, I. Maksimovic, V. Malvezzi, N. Man, M. Mantovani, F. Marchesoni, F. Marion, J. Marque, F. Martelli, A. Masserot, C. Michel, L. Milano, Y. Minenkov, M. Mohan, N. Morgado, A. Morgia, S. Mosca, B. Mours, L. Naticchioni, F. Nocera, L. Palladino, C. Palomba, F. Paoletti, R. Paoletti, M. Parisi, A. Pasqualetti, R. Passaquieti, D. Passuello, G. Persichetti, F. Piergiovanni, M. Pietka, L. Pinard, R. Poggiani, M. Prato, G. A. Prodi, M. Punturo, P. Puppo, D. S. Rabeling, I. Racz, P. Rapagnani, V. Re, T. Regimbau, F. Ricci, F. Robinet, A. Rocchi, L. Rolland, R. Romano, D. Rosińska, P. Ruggi, B. Sassolas, D. Sentenac, L. Sperandio, R. Sturani, B. Swinkels, M. Tacca, L. Taffarello, A. P.M. Ter Braack, A. Toncelli, M. Tonelli, O. Torre, E. Tournefier, F. Travasso, G. Vajente, J. F.J. Van Den Brand, C. Van Den Broeck, S. Van Der Putten, M. Vasuth, M. Vavoulidis, G. Vedovato, D. Verkindt, F. Vetrano, A. Viceré, J. Y. Vinet, S. Vitale, H. Vocca, R. L. Ward, M. Was, K. Yamamoto, M. Yvert, A. Zadroźny, J. P. Zendri

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract (may include machine translation)

The data collected by a gravitational wave interferometer are inevitably affected by instrumental artefacts and environmental disturbances. In particular, for continuous gravitational wave (CW) studies it is important to detect narrow-band disturbances (the so-called "noise lines") during science runs, and to help scientists to identify and possibly remove or mitigate their sources. The NoEMi (Noise Frequency Event Miner) framework exploits some of the algorithms implemented for the CW search to identify, on a daily basis, the frequency lines observed in the Virgo science data and in a subset of the environmental sensors, looking for lines that match in frequency. A line tracker algorithm reconstructs the lines over time, and stores them in a database, which is made accesible via a web interface. We describe the workflow of NoEMi, providing examples of its use for the investigation of noise lines in past Virgo runs (VSR2, VSR3) and in the most recent run (VSR4).

Original languageEnglish
Article number012037
JournalJournal of Physics: Conference Series
Volume363
Issue number1
DOIs
StatePublished - 2012
Externally publishedYes
Event9th Edoardo Amaldi Conference on Gravitational Waves, Amaldi 9 and the 2011 Numerical Relativity - Data Analysis Meeting, NRDA 2011 - Cardiff, United Kingdom
Duration: 10 Jul 201115 Jul 2011

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