Noise correlation and decorrelation in arrays of bolometric detectors

Bolometers are phonon mediated detectors used in particle physics experiments to search for rare processes, such as neutrinoless double beta decay and dark matter interactions. They feature an excellent energy resolution, which is a few keV over an energy range extending from a few keV up to several MeV. Nevertheless the resolution can be limited by the noise induced by vibrations of the mechanical apparatus. In arrays of bolometers part of this noise is correlated among different detectors and can be removed using a multichannel decorrelation algorithm. In this paper we present a decorrelation method and its application to data from the CUORICINO experiment, an array of 62 TeO2 bolometers.

💡 Research Summary

Bolometers are phonon-mediated detectors used in particle physics experiments to search for rare processes such as neutrinoless double beta decay and dark matter interactions. These detectors offer excellent energy resolution, typically a few keV over an energy range from a few keV up to several MeV. However, the resolution can be limited by noise induced by vibrations of the mechanical apparatus.

In arrays of bolometers, part of this noise is correlated among different detectors and can be removed using a multichannel decorrelation algorithm. The paper presents such a decorrelation method and its application to data from the CUORICINO experiment, an array of 62 TeO2 bolometers.

The decorrelation process involves analyzing the time-domain data collected by each bolometer in the array. It is crucial to identify and separate correlated noise from uncorrelated signals during this analysis. The multichannel decorrelation algorithm then effectively removes the correlated noise, leading to more accurate energy measurements.

In the CUORICINO experiment, this method was applied to analyze data collected by the 62 TeO2 bolometer array. The results obtained through this process provide important information for detecting rare particle interactions, particularly neutrinoless double beta decay and dark matter interactions.

This paper contributes to improving the methodology in complex particle physics experiments by enhancing energy resolution. It enables more precise and reliable data analysis, which is crucial for advancing research in this field.