Normal/independent noise in VIRGO data

F. Acernese; P. Amico; M. Alshourbagy; F. Antonucci; S. Aoudia; S. Avino; D. Babusci; G. Ballardin; F. Barone; L. Barsotti; M. Barsuglia; F. Beauville; S. Bigotta; S. Birindelli; M.A. Bizouard; C. Boccara; F. Bondu; L. Bosi; C. Bradaschia; S. Braccini; A. Brillet; V. Brisson; L. Brocco; D. Buskulic; E. Calloni; E. Campagna; F. Cavalier; R. Cavalieri; G. Cella; E. Cesarini; E. Chassande-Mottin; C. Corda; F. Cottone; A-C. Clapson; F. Cleva; J-P. Coulon; E. Cuoco; A. Dari; 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; O. Francois; S. Frasca; F. Frasconi; A. Freise; L. Gammaitoni; F. Garufi; A. Gennai; A. Giazotto; G. Giordano; L. Giordano; R. Gouaty; D. Grosjean; G. Guidi; S. Hebri; H. Heitmann; P. Hello; L. Holloway; S. Karkar; S. Kreckelbergh; P. la Penna; M. Laval; N. Leroy; N. Letendre; M. Lorenzini; V. Loriette; M. Loupias; G. Losurdo; J-M. Mackowski; E. Majorana; C.N. Man; M. Mantovani; F. Marchesoni; 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; 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:10.1088/0264-9381/23/19/S21

Normal/independent noise in VIRGO data

F. Acernese, P. Amico, M. Alshourbagy, F. Antonucci, S. Aoudia, S. Avino, D. Babusci, G. Ballardin, F. Barone, L. Barsotti, M. Barsuglia, F. Beauville, S. Bigotta, S. Birindelli, M.A. Bizouard, C. Boccara, F. Bondu, L. Bosi, C. Bradaschia, S. BracciniA. Brillet, V. Brisson, L. Brocco, D. Buskulic, E. Calloni, E. Campagna, F. Cavalier, R. Cavalieri, G. Cella, E. Cesarini, E. Chassande-Mottin, C. Corda, F. Cottone, A-C. Clapson, F. Cleva, J-P. Coulon, E. Cuoco, A. Dari, 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, O. Francois, S. Frasca, F. Frasconi, A. Freise, L. Gammaitoni, F. Garufi, A. Gennai, A. Giazotto, G. Giordano, L. Giordano, R. Gouaty, D. Grosjean, G. Guidi, S. Hebri, H. Heitmann, P. Hello, L. Holloway, S. Karkar, S. Kreckelbergh, P. la Penna, M. Laval, N. Leroy, N. Letendre, M. Lorenzini, V. Loriette, M. Loupias, G. Losurdo, J-M. Mackowski, E. Majorana, C.N. Man, M. Mantovani, F. Marchesoni, 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, 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

The analysis of data taken during the C7 VIRGO commissioning run showed strong deviations from Gaussian noise. In this work, we explore a family of distributions, derived from the hypothesis that heavy tails are an effect of a particular kind of nonstationarity, heterocedasticity (i.e. nonuniform variance), that appear to fit VIRGO noise better than a model based on the assumption of Gaussian noise. To estimate the parameters of the noise process (including the heterogeneous variance) we derived an expectation-maximization algorithm. We show the consequences of non-Gaussianity on the fitting of autoregressive filters and on the derivation of test statistics for matched filter operation. Finally, we apply the new noise model to the fitting of an autoregressive filter for whitening of data. © 2006 IOP Publishing Ltd.

Original language	English
Journal	Classical and Quantum Gravity
Volume	23
Issue number	19
DOIs	https://doi.org/10.1088/0264-9381/23/19/S21
Publication status	Published - 7 Oct 2006
Externally published	Yes

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Acernese, F., Amico, P., Alshourbagy, M., Antonucci, F., Aoudia, S., Avino, S., Babusci, D., Ballardin, G., Barone, F., Barsotti, L., Barsuglia, M., Beauville, F., Bigotta, S., Birindelli, S., Bizouard, M. A., Boccara, C., Bondu, F., Bosi, L., Bradaschia, C., ... Zhang, Z. (2006). Normal/independent noise in VIRGO data. Classical and Quantum Gravity, 23(19). https://doi.org/10.1088/0264-9381/23/19/S21

@article{14382136db15437a93e534c810b5d048,

title = "Normal/independent noise in VIRGO data",

abstract = "The analysis of data taken during the C7 VIRGO commissioning run showed strong deviations from Gaussian noise. In this work, we explore a family of distributions, derived from the hypothesis that heavy tails are an effect of a particular kind of nonstationarity, heterocedasticity (i.e. nonuniform variance), that appear to fit VIRGO noise better than a model based on the assumption of Gaussian noise. To estimate the parameters of the noise process (including the heterogeneous variance) we derived an expectation-maximization algorithm. We show the consequences of non-Gaussianity on the fitting of autoregressive filters and on the derivation of test statistics for matched filter operation. Finally, we apply the new noise model to the fitting of an autoregressive filter for whitening of data. {\textcopyright} 2006 IOP Publishing Ltd.",

author = "F. Acernese and P. Amico and M. Alshourbagy and F. Antonucci and S. Aoudia and S. Avino and D. Babusci and G. Ballardin and F. Barone and L. Barsotti and M. Barsuglia and F. Beauville and S. Bigotta and S. Birindelli 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 E. Calloni and E. Campagna and F. Cavalier and R. Cavalieri and G. Cella and E. Cesarini and E. Chassande-Mottin and C. Corda and F. Cottone and A-C. Clapson and F. Cleva and J-P. Coulon and E. Cuoco and A. Dari 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 O. Francois and S. Frasca and F. Frasconi and A. Freise and L. Gammaitoni and F. Garufi 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. Karkar and S. Kreckelbergh and {la Penna}, P. and M. Laval and N. Leroy and N. Letendre and M. Lorenzini 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 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 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 = "2006",

month = oct,

day = "7",

doi = "10.1088/0264-9381/23/19/S21",

language = "English",

volume = "23",

journal = "Classical and Quantum Gravity",

issn = "0264-9381",

publisher = "IOP Publishing Ltd.",

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Acernese, F, Amico, P, Alshourbagy, M, Antonucci, F, Aoudia, S, Avino, S, Babusci, D, Ballardin, G, Barone, F, Barsotti, L, Barsuglia, M, Beauville, F, Bigotta, S, Birindelli, S, Bizouard, MA, Boccara, C, Bondu, F, Bosi, L, Bradaschia, C, Braccini, S, Brillet, A, Brisson, V, Brocco, L, Buskulic, D, Calloni, E, Campagna, E, Cavalier, F, Cavalieri, R, Cella, G, Cesarini, E, Chassande-Mottin, E, Corda, C, Cottone, F, Clapson, A-C, Cleva, F, Coulon, J-P, Cuoco, E, Dari, A, 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, J-D, Francois, O, Frasca, S, Frasconi, F, Freise, A, Gammaitoni, L, Garufi, F, Gennai, A, Giazotto, A, Giordano, G, Giordano, L, Gouaty, R, Grosjean, D, Guidi, G, Hebri, S, Heitmann, H, Hello, P, Holloway, L, Karkar, S, Kreckelbergh, S, la Penna, P, Laval, M, Leroy, N, Letendre, N, Lorenzini, M, Loriette, V, Loupias, M, Losurdo, G, Mackowski, J-M, Majorana, E, Man, CN, Mantovani, M, Marchesoni, F, 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, Tonelli, M, Toncelli, A, Tournefier, E, Travasso, F, Vajente, G, Verkindt, D, Vetrano, F, Viceré, A, Vinet, J-Y, Vocca, H, Yvert, M & Zhang, Z 2006, 'Normal/independent noise in VIRGO data', Classical and Quantum Gravity, vol. 23, no. 19. https://doi.org/10.1088/0264-9381/23/19/S21

TY - JOUR

T1 - Normal/independent noise in VIRGO data

AU - Acernese, F.

AU - Amico, P.

AU - Alshourbagy, M.

AU - Antonucci, F.

AU - Aoudia, S.

AU - Avino, S.

AU - Babusci, D.

AU - Ballardin, G.

AU - Barone, F.

AU - Barsotti, L.

AU - Barsuglia, M.

AU - Beauville, F.

AU - Bigotta, S.

AU - Birindelli, S.

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 - Calloni, E.

AU - Campagna, E.

AU - Cavalier, F.

AU - Cavalieri, R.

AU - Cella, G.

AU - Cesarini, E.

AU - Chassande-Mottin, E.

AU - Corda, C.

AU - Cottone, F.

AU - Clapson, A-C.

AU - Cleva, F.

AU - Coulon, J-P.

AU - Cuoco, E.

AU - Dari, A.

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 - Francois, O.

AU - Frasca, S.

AU - Frasconi, F.

AU - Freise, A.

AU - Gammaitoni, L.

AU - Garufi, F.

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 - Karkar, S.

AU - Kreckelbergh, S.

AU - la Penna, P.

AU - Laval, M.

AU - Leroy, N.

AU - Letendre, N.

AU - Lorenzini, M.

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 - 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 - 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 - 2006/10/7

Y1 - 2006/10/7

N2 - The analysis of data taken during the C7 VIRGO commissioning run showed strong deviations from Gaussian noise. In this work, we explore a family of distributions, derived from the hypothesis that heavy tails are an effect of a particular kind of nonstationarity, heterocedasticity (i.e. nonuniform variance), that appear to fit VIRGO noise better than a model based on the assumption of Gaussian noise. To estimate the parameters of the noise process (including the heterogeneous variance) we derived an expectation-maximization algorithm. We show the consequences of non-Gaussianity on the fitting of autoregressive filters and on the derivation of test statistics for matched filter operation. Finally, we apply the new noise model to the fitting of an autoregressive filter for whitening of data. © 2006 IOP Publishing Ltd.

AB - The analysis of data taken during the C7 VIRGO commissioning run showed strong deviations from Gaussian noise. In this work, we explore a family of distributions, derived from the hypothesis that heavy tails are an effect of a particular kind of nonstationarity, heterocedasticity (i.e. nonuniform variance), that appear to fit VIRGO noise better than a model based on the assumption of Gaussian noise. To estimate the parameters of the noise process (including the heterogeneous variance) we derived an expectation-maximization algorithm. We show the consequences of non-Gaussianity on the fitting of autoregressive filters and on the derivation of test statistics for matched filter operation. Finally, we apply the new noise model to the fitting of an autoregressive filter for whitening of data. © 2006 IOP Publishing Ltd.

U2 - 10.1088/0264-9381/23/19/S21

DO - 10.1088/0264-9381/23/19/S21

M3 - Article

SN - 0264-9381

VL - 23

JO - Classical and Quantum Gravity

JF - Classical and Quantum Gravity

IS - 19

ER -

Normal/independent noise in VIRGO data

Abstract

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