First report of long term measurements of the {MGGL} laboratory in the {M}\'atra mountain range
G.G. Barnaf\"oldi, T. Bulik, M. Cieslar, E. D\'avid, M. Dobr\'oka, E., Fenyvesi, D. Gondek-Rosinska, Z. Gr\'aczer, G. Hamar, G. Huba, \'A. Kis, R., Kov\'acs, I. Lemperger, P. L\'evai, J. Moln\'ar, D. Nagy, A. Nov\'ak, L., Ol\'ah, P. P\'azm\'andi, D. Piri, L. Somlai, T. Starecki

TL;DR
This paper reports the initial long-term measurements at the MGGL underground laboratory in Hungary, assessing its noise environment for future gravitational wave detectors, and describes the installed instruments and preliminary results from the first data collection period.
Contribution
It provides the first systematic long-term measurement data from MGGL, highlighting its potential for gravitational wave detection research and detailing the experimental setup and initial findings.
Findings
Initial noise measurements characterized seismic and electromagnetic environment.
Successful deployment of specialized instruments for underground noise analysis.
Preliminary data supports further systematic studies in subsequent runs.
Abstract
Matra Gravitational and Geophysical Laboratory (MGGL) has been established near Gy\"ongy\"osoroszi, 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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
