The detection of marine microseismic activity with the CUORE tonne-scale cryogenic experiment

TL;DR

This paper reports the first detection of marine microseismic vibrations using cryogenic calorimeters in the CUORE experiment, highlighting environmental noise impacts and mitigation strategies for rare event searches.

Contribution

It introduces the first observation of marine microseisms with mK-scale calorimeters and demonstrates a noise decorrelation method to improve detector sensitivity.

Findings

Marine microseismic vibrations detected with calorimeters.

Seasonal impact of Mediterranean Sea activity on detector performance.

Noise decorrelation algorithm reduces vibrational noise.

Abstract

Vibrations from experimental setups and the environment are a persistent source of noise for low-temperature calorimeters searching for rare events, including neutrinoless double beta ($0\nu\beta\beta$) decay or dark matter interactions. Such noise can significantly limit experimental sensitivity to the physics case under investigation. Here we report the first detection of marine microseismic vibrations using mK-scale calorimeters. This study employs a multi-device analysis correlating data from CUORE, the leading experiment in the search for $0\nu\beta\beta$ decay with mK-scale calorimeters and the Copernicus Earth Observation program, revealing the seasonal impact of Mediterranean Sea activity on CUORE's energy thresholds, resolution, and sensitivity over four years. The detection of marine microseisms underscores the need to address faint environmental noise in ultra-sensitive experiments. Understanding how such noise couples to the detector and developing mitigation strategies is essential for next-generation experiments. We demonstrate one such strategy: a noise decorrelation algorithm implemented in CUORE using auxiliary sensors, which reduces vibrational noise and improves detector performance. Enhancing sensitivity to $0\nu\beta\beta$ decay and to rare events with low-energy signatures requires identifying unresolved noise sources, advancing noise reduction methods, and improving vibration suppression systems, all of which inform the design of next-generation rare event experiments.