A simple line detection algorithm applied to Virgo data

F. Acernese; P. Amico; M. Al-Shourbagy; S. Aoudia; S. Avino; D. Babusci; G. Ballardin; R. Barillé; F. Barone; L. Barsotti; M. Barsuglia; F. Beauville; M.A. Bizouard; C. Boccara; F. Bondu; L. Bosi; C. Bradaschia; S. Braccini; A. Brillet; V. Brisson; L. Brocco; D. Buskulic; G. Calamai; E. Calloni; E. Campagna; F. Cavalier; R. Cavalieri; G. Cella; E. Chassande-Mottin; C. Corda; A.C. Clapson; F. Cleva; J.P. Coulon; E. Cuoco; V. Dattilo; M. Davier; R. de Rosa; L. di Fiore; A. di Virgilio; B. Dujardin; A. Eleuteri; D. Enard; I. Ferrante; F. Fidecaro; I. Fiori; R. Flaminio; J.D. Fournier; S. Frasca; F. Frasconi; A. Freise; L. Gammaitoni; A. Gennai; A. Giazotto; G. Giordano; L. Giordano; R. Gouaty; D. Grosjean; G. Guidi; S. Hebri; H. Heitmann; P. Hello; L. Holloway; S. Kreckelbergh; P. la Penna; V. Loriette; M. Loupias; G. Losurdo; J.M. Mackowski; E. Majorana; C.N. Man; M. Mantovani; F. Marchesoni; E. Marchetti; F. Marion; J. Marque; F. Martelli; A. Masserot; M. Mazzoni; L. Milano; C. Moins; J. Moreau; N. Morgado; B. Mours; A. Pai; C. Palomba; F. Paoletti; S. Pardi; A. Pasqualetti; R. Passaquieti; D. Passuello; B. Perniola; F. Piergiovanni; L. Pinard; R. Poggiani; M. Punturo; P. Puppo; K. Qipiani; P. Rapagnani; V. Reita; A. Remillieux; F. Ricci; I. Ricciardi; P. Ruggi; G. Russo; S. Solimeno; A. Spallicci; R. Stanga; R. Taddei; D. Tombolato; M. Tonelli; A. Toncelli; E. Tournefier; F. Travasso; G. Vajente; D. Verkindt; F. Vetrano; A. Viceré; J.Y. Vinet; H. Vocca; M. Yvert; Z. Zhang

doi:10.1088/0264-9381/22/18/S33

A simple line detection algorithm applied to Virgo data

F. Acernese, P. Amico, M. Al-Shourbagy, S. Aoudia, S. Avino, D. Babusci, G. Ballardin, R. Barillé, F. Barone, L. Barsotti, M. Barsuglia, F. Beauville, M.A. Bizouard, C. Boccara, F. Bondu, L. Bosi, C. Bradaschia, S. Braccini, A. Brillet, V. BrissonL. Brocco, D. Buskulic, G. Calamai, E. Calloni, E. Campagna, F. Cavalier, R. Cavalieri, G. Cella, E. Chassande-Mottin, C. Corda, A.C. Clapson, F. Cleva, J.P. Coulon, E. Cuoco, V. Dattilo, M. Davier, R. de Rosa, L. di Fiore, A. di Virgilio, B. Dujardin, A. Eleuteri, D. Enard, I. Ferrante, F. Fidecaro, I. Fiori, R. Flaminio, J.D. Fournier, S. Frasca, F. Frasconi, A. Freise, L. Gammaitoni, A. Gennai, A. Giazotto, G. Giordano, L. Giordano, R. Gouaty, D. Grosjean, G. Guidi, S. Hebri, H. Heitmann, P. Hello, L. Holloway, S. Kreckelbergh, P. la Penna, V. Loriette, M. Loupias, G. Losurdo, J.M. Mackowski, E. Majorana, C.N. Man, M. Mantovani, F. Marchesoni, E. Marchetti, F. Marion, J. Marque, F. Martelli, A. Masserot, M. Mazzoni, L. Milano, C. Moins, J. Moreau, N. Morgado, B. Mours, A. Pai, C. Palomba, F. Paoletti, S. Pardi, A. Pasqualetti, R. Passaquieti, D. Passuello, B. Perniola, F. Piergiovanni, L. Pinard, R. Poggiani, M. Punturo, P. Puppo, K. Qipiani, P. Rapagnani, V. Reita, A. Remillieux, F. Ricci, I. Ricciardi, P. Ruggi, G. Russo, S. Solimeno, A. Spallicci, R. Stanga, R. Taddei, D. Tombolato, M. Tonelli, A. Toncelli, E. Tournefier, F. Travasso, G. Vajente, D. Verkindt, F. Vetrano, A. Viceré, J.Y. Vinet, H. Vocca, M. Yvert, Z. Zhang

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

We propose a new method for the detection of spectral lines in random noise. It mimics the processing scheme of matching filtering, i.e., a whitening procedure combined with the measurement of the correlation between the data and a template. Thanks to the original noise spectrum estimate used in the whitening procedure, the algorithm can easily be tuned to various types of noise. It can thus be applied to the data taken from a wide class of sensors. This versatility and its small computational cost make this method particularly well suited for real-time monitoring in gravitational wave experiments. We show the results of its application to Virgo C4 commissioning data. © 2005 IOP Publishing Ltd.

Original language	English
Journal	Classical and Quantum Gravity
Volume	22
Issue number	18
DOIs	https://doi.org/10.1088/0264-9381/22/18/S33
Publication status	Published - 21 Sept 2005
Externally published	Yes

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Acernese, F., Amico, P., Al-Shourbagy, M., Aoudia, S., Avino, S., Babusci, D., Ballardin, G., Barillé, R., Barone, F., Barsotti, L., Barsuglia, M., Beauville, F., Bizouard, M. A., Boccara, C., Bondu, F., Bosi, L., Bradaschia, C., Braccini, S., Brillet, A., ... Zhang, Z. (2005). A simple line detection algorithm applied to Virgo data. Classical and Quantum Gravity, 22(18). https://doi.org/10.1088/0264-9381/22/18/S33

@article{ac6435f700e04a8eb87ec7172e2ecc98,

title = "A simple line detection algorithm applied to Virgo data",

abstract = "We propose a new method for the detection of spectral lines in random noise. It mimics the processing scheme of matching filtering, i.e., a whitening procedure combined with the measurement of the correlation between the data and a template. Thanks to the original noise spectrum estimate used in the whitening procedure, the algorithm can easily be tuned to various types of noise. It can thus be applied to the data taken from a wide class of sensors. This versatility and its small computational cost make this method particularly well suited for real-time monitoring in gravitational wave experiments. We show the results of its application to Virgo C4 commissioning data. {\textcopyright} 2005 IOP Publishing Ltd.",

author = "F. Acernese and P. Amico and M. Al-Shourbagy and S. Aoudia and S. Avino and D. Babusci and G. Ballardin and R. Barill{\'e} and F. Barone and L. Barsotti and M. Barsuglia and F. Beauville and M.A. Bizouard and C. Boccara and F. Bondu and L. Bosi and C. Bradaschia and S. Braccini and A. Brillet and V. Brisson and L. Brocco and D. Buskulic and G. Calamai and E. Calloni and E. Campagna and F. Cavalier and R. Cavalieri and G. Cella and E. Chassande-Mottin and C. Corda and A.C. Clapson and F. Cleva and J.P. Coulon and E. Cuoco and V. Dattilo and M. Davier and {de Rosa}, R. and {di Fiore}, L. and {di Virgilio}, A. and B. Dujardin and A. Eleuteri and D. Enard and I. Ferrante and F. Fidecaro and I. Fiori and R. Flaminio and J.D. Fournier and S. Frasca and F. Frasconi and A. Freise and L. Gammaitoni and A. Gennai and A. Giazotto and G. Giordano and L. Giordano and R. Gouaty and D. Grosjean and G. Guidi and S. Hebri and H. Heitmann and P. Hello and L. Holloway and S. Kreckelbergh and {la Penna}, P. and V. Loriette and M. Loupias and G. Losurdo and J.M. Mackowski and E. Majorana and C.N. Man and M. Mantovani and F. Marchesoni and E. Marchetti and F. Marion and J. Marque and F. Martelli and A. Masserot and M. Mazzoni and L. Milano and C. Moins and J. Moreau and N. Morgado and B. Mours and A. Pai and C. Palomba and F. Paoletti and S. Pardi and A. Pasqualetti and R. Passaquieti and D. Passuello and B. Perniola and F. Piergiovanni and L. Pinard and R. Poggiani and M. Punturo and P. Puppo and K. Qipiani and P. Rapagnani and V. Reita and A. Remillieux and F. Ricci and I. Ricciardi and P. Ruggi and G. Russo and S. Solimeno and A. Spallicci and R. Stanga and R. Taddei and D. Tombolato and M. Tonelli and A. Toncelli and E. Tournefier and F. Travasso and G. Vajente and D. Verkindt and F. Vetrano and A. Vicer{\'e} and J.Y. Vinet and H. Vocca and M. Yvert and Z. Zhang",

year = "2005",

month = sep,

day = "21",

doi = "10.1088/0264-9381/22/18/S33",

language = "English",

volume = "22",

journal = "Classical and Quantum Gravity",

issn = "0264-9381",

publisher = "IOP Publishing Ltd.",

number = "18",

}

Acernese, F, Amico, P, Al-Shourbagy, M, Aoudia, S, Avino, S, Babusci, D, Ballardin, G, Barillé, R, Barone, F, Barsotti, L, Barsuglia, M, Beauville, F, Bizouard, MA, Boccara, C, Bondu, F, Bosi, L, Bradaschia, C, Braccini, S, Brillet, A, Brisson, V, Brocco, L, Buskulic, D, Calamai, G, Calloni, E, Campagna, E, Cavalier, F, Cavalieri, R, Cella, G, Chassande-Mottin, E, Corda, C, Clapson, AC, Cleva, F, Coulon, JP, Cuoco, E, Dattilo, V, Davier, M, de Rosa, R, di Fiore, L, di Virgilio, A, Dujardin, B, Eleuteri, A, Enard, D, Ferrante, I, Fidecaro, F, Fiori, I, Flaminio, R, Fournier, JD, Frasca, S, Frasconi, F, Freise, A, Gammaitoni, L, Gennai, A, Giazotto, A, Giordano, G, Giordano, L, Gouaty, R, Grosjean, D, Guidi, G, Hebri, S, Heitmann, H, Hello, P, Holloway, L, Kreckelbergh, S, la Penna, P, Loriette, V, Loupias, M, Losurdo, G, Mackowski, JM, Majorana, E, Man, CN, Mantovani, M, Marchesoni, F, Marchetti, E, Marion, F, Marque, J, Martelli, F, Masserot, A, Mazzoni, M, Milano, L, Moins, C, Moreau, J, Morgado, N, Mours, B, Pai, A, Palomba, C, Paoletti, F, Pardi, S, Pasqualetti, A, Passaquieti, R, Passuello, D, Perniola, B, Piergiovanni, F, Pinard, L, Poggiani, R, Punturo, M, Puppo, P, Qipiani, K, Rapagnani, P, Reita, V, Remillieux, A, Ricci, F, Ricciardi, I, Ruggi, P, Russo, G, Solimeno, S, Spallicci, A, Stanga, R, Taddei, R, Tombolato, D, Tonelli, M, Toncelli, A, Tournefier, E, Travasso, F, Vajente, G, Verkindt, D, Vetrano, F, Viceré, A, Vinet, JY, Vocca, H, Yvert, M & Zhang, Z 2005, 'A simple line detection algorithm applied to Virgo data', Classical and Quantum Gravity, vol. 22, no. 18. https://doi.org/10.1088/0264-9381/22/18/S33

TY - JOUR

T1 - A simple line detection algorithm applied to Virgo data

AU - Acernese, F.

AU - Amico, P.

AU - Al-Shourbagy, M.

AU - Aoudia, S.

AU - Avino, S.

AU - Babusci, D.

AU - Ballardin, G.

AU - Barillé, R.

AU - Barone, F.

AU - Barsotti, L.

AU - Barsuglia, M.

AU - Beauville, F.

AU - Bizouard, M.A.

AU - Boccara, C.

AU - Bondu, F.

AU - Bosi, L.

AU - Bradaschia, C.

AU - Braccini, S.

AU - Brillet, A.

AU - Brisson, V.

AU - Brocco, L.

AU - Buskulic, D.

AU - Calamai, G.

AU - Calloni, E.

AU - Campagna, E.

AU - Cavalier, F.

AU - Cavalieri, R.

AU - Cella, G.

AU - Chassande-Mottin, E.

AU - Corda, C.

AU - Clapson, A.C.

AU - Cleva, F.

AU - Coulon, J.P.

AU - Cuoco, E.

AU - Dattilo, V.

AU - Davier, M.

AU - de Rosa, R.

AU - di Fiore, L.

AU - di Virgilio, A.

AU - Dujardin, B.

AU - Eleuteri, A.

AU - Enard, D.

AU - Ferrante, I.

AU - Fidecaro, F.

AU - Fiori, I.

AU - Flaminio, R.

AU - Fournier, J.D.

AU - Frasca, S.

AU - Frasconi, F.

AU - Freise, A.

AU - Gammaitoni, L.

AU - Gennai, A.

AU - Giazotto, A.

AU - Giordano, G.

AU - Giordano, L.

AU - Gouaty, R.

AU - Grosjean, D.

AU - Guidi, G.

AU - Hebri, S.

AU - Heitmann, H.

AU - Hello, P.

AU - Holloway, L.

AU - Kreckelbergh, S.

AU - la Penna, P.

AU - Loriette, V.

AU - Loupias, M.

AU - Losurdo, G.

AU - Mackowski, J.M.

AU - Majorana, E.

AU - Man, C.N.

AU - Mantovani, M.

AU - Marchesoni, F.

AU - Marchetti, E.

AU - Marion, F.

AU - Marque, J.

AU - Martelli, F.

AU - Masserot, A.

AU - Mazzoni, M.

AU - Milano, L.

AU - Moins, C.

AU - Moreau, J.

AU - Morgado, N.

AU - Mours, B.

AU - Pai, A.

AU - Palomba, C.

AU - Paoletti, F.

AU - Pardi, S.

AU - Pasqualetti, A.

AU - Passaquieti, R.

AU - Passuello, D.

AU - Perniola, B.

AU - Piergiovanni, F.

AU - Pinard, L.

AU - Poggiani, R.

AU - Punturo, M.

AU - Puppo, P.

AU - Qipiani, K.

AU - Rapagnani, P.

AU - Reita, V.

AU - Remillieux, A.

AU - Ricci, F.

AU - Ricciardi, I.

AU - Ruggi, P.

AU - Russo, G.

AU - Solimeno, S.

AU - Spallicci, A.

AU - Stanga, R.

AU - Taddei, R.

AU - Tombolato, D.

AU - Tonelli, M.

AU - Toncelli, A.

AU - Tournefier, E.

AU - Travasso, F.

AU - Vajente, G.

AU - Verkindt, D.

AU - Vetrano, F.

AU - Viceré, A.

AU - Vinet, J.Y.

AU - Vocca, H.

AU - Yvert, M.

AU - Zhang, Z.

PY - 2005/9/21

Y1 - 2005/9/21

N2 - We propose a new method for the detection of spectral lines in random noise. It mimics the processing scheme of matching filtering, i.e., a whitening procedure combined with the measurement of the correlation between the data and a template. Thanks to the original noise spectrum estimate used in the whitening procedure, the algorithm can easily be tuned to various types of noise. It can thus be applied to the data taken from a wide class of sensors. This versatility and its small computational cost make this method particularly well suited for real-time monitoring in gravitational wave experiments. We show the results of its application to Virgo C4 commissioning data. © 2005 IOP Publishing Ltd.

AB - We propose a new method for the detection of spectral lines in random noise. It mimics the processing scheme of matching filtering, i.e., a whitening procedure combined with the measurement of the correlation between the data and a template. Thanks to the original noise spectrum estimate used in the whitening procedure, the algorithm can easily be tuned to various types of noise. It can thus be applied to the data taken from a wide class of sensors. This versatility and its small computational cost make this method particularly well suited for real-time monitoring in gravitational wave experiments. We show the results of its application to Virgo C4 commissioning data. © 2005 IOP Publishing Ltd.

U2 - 10.1088/0264-9381/22/18/S33

DO - 10.1088/0264-9381/22/18/S33

M3 - Article

SN - 0264-9381

VL - 22

JO - Classical and Quantum Gravity

JF - Classical and Quantum Gravity

IS - 18

ER -

A simple line detection algorithm applied to Virgo data

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