E3S Web Conf.
Volume 357, 2022i-DUST 2022 – Inter-Disciplinary Underground Science and Technology
|Number of page(s)||8|
|Section||Industrial Development in Low Background Noise Environments|
|Published online||30 September 2022|
Reaching ultra-high vacuum for a large vacuum vessel in an underground environment
1 LP2N, Laboratoire Photonique, Numérique et Nanosciences, Université Bordeaux–IOGS– CNRS:UMR 5298, rue F. Mitterrand, F–33400 Talence, France
2 Dipartimento di Fisica e Astronomia, Università di Bologna, Via Berti-Pichat 6/2, I-40126 Bologna, Italy
3 LNE–SYRTE, Observatoire de Paris, Université PSL, CNRS, Sorbonne Université, 61, avenue de l’Observatoire, F–75014 Paris, France
4 LSBB, Laboratoire Souterrain à Bas Bruit, CNRS UAR3538, Avignon University - La grande combe, 84400 Rustrel, France
* e-mail: firstname.lastname@example.org
Located far from anthropical disturbances and with low seismic and magnetic background noise profiles, the LSBB facility is the ideal location for a new hybrid detector for the study of space-time strain. The MIGA infrastructure , utilizes an array of atom interferometers manipulated by the same beam, the resonant optical field of a 150 m long optical cavity. The infrastructure constitutes a new method for geophysics, for the characterization of spatial and temporal variations of the local gravity, and is a demonstrator for future decihertz gravitational wave observation. Such an infrastructure requires ultra-high vacuum (10−9 mbar) on a size (150 m) and scale (36 m3) not typically seen in underground laboratories other than CERN , and especially in underground environments with high humidity (up to 100%) and significant dust contamination (milimetric to micrometric porous rock particles). Here, we detail the status of the MIGA infrastructure and describe the ongoing generation and analysis of the vacuum works - this comes from tests of the prototype vacuum vessel, focusing on heating cycles, residual gas and heating analysis.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.