Adaptive algorithms for low-latency cancellation of seismic Newtonian-noise at the Virgo gravitational-wave detector

被引：0

作者：

Koley, Soumen ^{[1
,2
]}

Harms, Jan ^{[1
,2
]}

Allocca, Annalisa ^{[3
,4
]}

Calloni, Enrico ^{[3
,4
]}

De Rosa, Rosario ^{[3
,4
]}

Errico, Luciano ^{[3
,4
]}

Esposito, Marina ^{[3
,4
]}

Badaracco, Francesca ^{[5
]}

Rei, Luca ^{[5
]}

Bertolini, Alessandro ^{[6
]}

Bulik, Tomasz ^{[7
,8
]}

Cieslar, Marek ^{[8
]}

Pietrzak, Mateusz ^{[8
]}

Suchenek, Mariusz ^{[8
]}

Fiori, Irene ^{[9
]}

Paoli, Andrea ^{[9
]}

Tringali, Maria Concetta ^{[9
]}

Ruggi, Paolo ^{[9
]}

Hild, Stefan ^{[6
,10
]}

Singha, Ayatri ^{[6
,10
]}

Idzkowski, Bartosz ^{[7
]}

Suchinski, Maciej ^{[7
]}

Masserot, Alain ^{[11
]}

Rolland, Loic ^{[11
]}

Mours, Benoit ^{[12
]}

Paoletti, Federico ^{[13
]}

机构：

[1] Gran Sasso Sci Inst GSSI, I-67100 Laquila, Italy

[2] INFN, Lab Nazl Gran Sasso, I-67100 Assergi, Italy

[3] Univ Napoli Federico II, I-80126 Naples, Italy

[4] INFN, Sez Napoli, I-80126 Naples, Italy

[5] INFN, Sez Genova, Via Dodecaneso, I-16146 Genoa, Italy

[6] Nikhef, NL-1098 XG Amsterdam, Netherlands

[7] Univ Warsaw, Astron Observ, Al Ujazdowskie 4, PL-00478 Warsaw, Poland

[8] Polish Acad Sci, Nicolaus Copernicus Astron Ctr, Ul Bartycka 18, PL-00716 Warsaw, Poland

[9] European Gravitat Observ EGO, I-56021 Pisa, Italy

[10] Maastricht Univ, NL-6200 MD Maastricht, Netherlands

[11] Univ Savoie Mt Blanc, CNRS, Lab Annecy Phys Particules IN2P3, F-74000 Annecy, France

[12] Univ Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France

[13] INFN, Sez Pisa, I-56127 Pisa, Italy

来源：

PHYSICAL REVIEW D | 2024年 / 110卷 / 02期

基金：

匈牙利科学研究基金会;

关键词：

Universit<acute accent>e Savoie Mont Blanc; CNRS; Laboratoire d ' Annecy de Physique des Particules; VARIABLE STEP; TRANSVERSAL FILTERS; SQUARES ADAPTATION; LMS; PERFORMANCE; SYSTEM;

D O I：

10.1103/PhysRevD.110.022002

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

A system was recently implemented in the Virgo detector to cancel noise in its data produced by seismic waves directly coupling with the suspended test masses through gravitational interaction. The data from seismometers are being filtered to produce a coherent estimate of the associated gravitational noise also known as Newtonian noise. The first implementation of the system uses a time-invariant (static) Wiener filter, which is the optimal filter for Newtonian-noise cancellation assuming that the noise is stationary. possible and while time-variant filters are expected to cope with these variations better than a static Wiener filter, the question is what the limitations are of time-variant noise cancellation. In this study, we present a framework to study the performance limitations of time-variant noise cancellation filters and carry out a proof of concept with adaptive filters on seismic data at the Virgo site. We demonstrate that the adaptive filters, at least those with superior architecture, indeed significantly outperform the static Wiener filter with the residual noise remaining above the statistical error bound.

引用

页数：18