arXiv subjects

M. Suchenek

Publications and source records attributed to M. Suchenek.

4 recordsLinked to original sources

arXiv2026

Infrasound Newtonian Noise Estimation at the Einstein Telescope Candidate Site Sos Enattos

We investigate the seasonal variability of atmospheric infrasound and its contribution to Newtonian noise (NN) at the Sos Enattos site, a leading candidate location for the Einstein Telescope (ET). Infrasound data recorded at three stations -- SOE0 (surface), SOE1 ($-84$ m), and SOE3 ($-160$ m) -- are analyzed over multiple seasons to characterize both temporal variability and the depth dependence of the acoustic field. The amplitude spectral density (ASD) at 1 Hz exhibits a clear seasonal modulation, with winter levels exceeding summer values by 10--15 dB, primarily driven by variations in wind conditions. Using the measured pressure spectra, we estimate the corresponding NN contribution within a standard atmospheric coupling framework. At the surface station (SOE0), the median characteristic strain reaches $\sim 10^{-22}$ at 1 Hz, whereas at the deepest underground station (SOE3) it decreases to $\sim 10^{-27}$, corresponding to a suppression of approximately five orders of magnitude. Across all stations and environmental conditions, the inferred NN remains well below the ET-D design sensitivity curve in the 1--10 Hz frequency band. These results demonstrate the strong attenuation of infrasound-induced NN with depth and confirm that atmospheric infrasound does not constitute a limiting noise source for underground gravitational-wave detectors at this site.

astro-ph.IM↗

arXiv2023

PyMerger: Detecting Binary Black Hole merger from Einstein Telescope Using Deep Learning

We present PyMerger, a Python tool for detecting binary black hole (BBH) mergers from the Einstein Telescope (ET), based on a Deep Residual Neural Network model (ResNet). ResNet was trained on data combined from all three proposed sub-detectors of ET (TSDCD) to detect BBH mergers. Five different lower frequency cutoffs ($F_{\text{low}}$): 5 Hz, 10 Hz, 15 Hz, 20 Hz, and 30 Hz, with match-filter Signal-to-Noise Ratio ($MSNR$) ranges: 4-5, 5-6, 6-7, 7-8, and >8, were employed in the data simulation. Compared to previous work that utilized data from single sub-detector data (SSDD), the detection accuracy from TSDCD has shown substantial improvements, increasing from $60\%$, $60.5\%$, $84.5\%$, $94.5\%$ to $78.5\%$, $84\%$, $99.5\%$, $100\%$, and $100\%$ for sources with $MSNR$ of 4-5, 5-6, 6-7, 7-8, and >8, respectively. The ResNet model was evaluated on the first Einstein Telescope mock Data Challenge (ET-MDC1) dataset, where the model demonstrated strong performance in detecting BBH mergers, identifying 5,566 out of 6,578 BBH events, with optimal SNR starting from 1.2, and a minimum and maximum $D_{L}$ of 0.5 Gpc and 148.95 Gpc, respectively. Despite being trained only on BBH mergers without overlapping sources, the model achieved high BBH detection rates. Notably, even though the model was not trained on BNS and BHNS mergers, it successfully detected 11,477 BNS and 323 BHNS mergers in ET-MDC1, with optimal SNR starting from 0.2 and 1, respectively, indicating its potential for broader applicability.

astro-ph.IM↗

arXiv2018

Long term measurements from the Mátra Gravitational and Geophysical Laboratory

Summary of the long term data taking, related to one of the proposed next generation ground-based gravitational detector's location is presented here. Results of seismic and infrasound noise, electromagnetic attenuation and cosmic muon radiation measurements are reported in the underground Matra Gravitational and Geophysical Laboratory near Gyöngyösoroszi, Hungary. The collected seismic data of more than two years is evaluated from the point of view of the Einstein Telescope, a proposed third generation underground gravitational wave observatory. Applying our results for the site selection will significantly improve the signal to nose ratio of the multi-messenger astrophysics era, especially at the low frequency regime.

astro-ph.IM↗

arXiv2017

First report of long term measurements of the {MGGL} laboratory in the {M}átra mountain range

Matra Gravitational and Geophysical Laboratory (MGGL) has been established near Gyöngyösoroszi, Hungary in 2015, in the cavern system of an unused ore mine. The Laboratory is located at 88~m below the surface, with the aim to measure and analyse the advantages of the underground installation of third generation gravitational wave detectors. Specialized instruments have been installed to measure seismic, infrasound, electromagnetic noise, and the variation of the cosmic muon flux. In the preliminary (RUN-0) test period, March-August 2016, data collection has been accomplished. In this paper we describe the research potential of the MGGL, list the installed equipments and summarize the experimental results of RUN-0. Here we report RUN-0 data, that prepares systematic and synchronized data collection of the next run period.

physics.ins-det↗