Low frequency seismic noise acquisition and analysis with tunable monolithic horizontal sensors

Fausto Acernese; Rosario De Rosa; Riccardo De Salvo; Gerardo Giordano; Jan Harms; Vuk Mandic; Rocco Romano; Thomas Trancynger; Silvia Vilasi; Fabrizio Barone

doi:10.1117/12.865069

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25 October 2010 Low frequency seismic noise acquisition and analysis with tunable monolithic horizontal sensors

Fausto Acernese, Rosario De Rosa, Riccardo De Salvo, Gerardo Giordano, Jan Harms, Vuk Mandic, Rocco Romano, Thomas Trancynger, Silvia Vilasi, Fabrizio Barone

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Proceedings Volume 7831, Earth Resources and Environmental Remote Sensing/GIS Applications; 78311D (2010) https://doi.org/10.1117/12.865069
Event: SPIE Remote Sensing, 2010, Toulouse, France

Abstract

In this paper we present and discuss the scientific data recorded along one month of data taking of two mechanical monolithic horizontal sensor prototypes located in a blind-ended (side) tunnel 2000 ft deep in the Homestake mine (South Dakota, USA), chosen to host the Deep Underground Science and Engineering Laboratory (DUSEL). The main goal of this test is to provide preliminary data to characterize the Homestake site in the frequency band 10^-4 ÷ 30Hz and to estimate the level of Newtonian noise, information necessary to understand the feasibility of underground gravitational-wave interferometers sensitive at 1Hz and below. The recorded scientific data and all the technical information obtained with this test are very useful also to understand the performances of the monolithic sensors in the very low frequency band (10^-6 ÷ 10^-3 Hz) and to organize an experiment for the low frequency seismic characterization of the Homestake site with monolithic sensors positioned at different levels and orientations.

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Fausto Acernese, Rosario De Rosa, Riccardo De Salvo, Gerardo Giordano, Jan Harms, Vuk Mandic, Rocco Romano, Thomas Trancynger, Silvia Vilasi, and Fabrizio Barone "Low frequency seismic noise acquisition and analysis with tunable monolithic horizontal sensors", Proc. SPIE 7831, Earth Resources and Environmental Remote Sensing/GIS Applications, 78311D (25 October 2010); https://doi.org/10.1117/12.865069

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