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Semantic Scholar Open Access 2023 8 sitasi

Improving the performance of cryogenic calorimeters with nonlinear multivariate noise cancellation algorithms

K. Vetter M. Beretta C. Capelli F. D. Corso E. V. Hansen +29 lainnya
Lihat Sumber DOI

Abstrak

State-of-the-art physics experiments require high-resolution, low-noise, and low-threshold detectors to achieve competitive scientific results. However, experimental environments invariably introduce sources of noise, such as electrical interference or microphonics. The sources of this environmental noise can often be monitored by adding specially designed “auxiliary devices” (e.g. microphones, accelerometers, seismometers, magnetometers, and antennae). A model can then be constructed to predict the detector noise based on the auxiliary device information, which can then be subtracted from the true detector signal. Here, we present a multivariate noise cancellation algorithm which can be used in a variety of settings to improve the performance of detectors using multiple auxiliary devices. To validate this approach, we apply it to simulated data to remove noise due to electromagnetic interference and microphonic vibrations. We then employ the algorithm to a cryogenic light detector in the laboratory and show an improvement in the detector performance. Finally, we motivate the use of nonlinear terms to better model vibrational contributions to the noise in thermal detectors. We show a further improvement in the performance of a particular channel of the CUORE detector when using the nonlinear algorithm in combination with optimal filtering techniques.

Topik & Kata Kunci

Physics

Penulis (34)

K

K. Vetter

M

M. Beretta

C

C. Capelli

F

F. D. Corso

E

E. V. Hansen

R

R. Huang

Y

Y. Kolomensky

L

L. Marini

I

I. Nutini

V

Vivek Singh

A

A. Torres

B

B. Welliver

S

S. Zimmermann

S

S. Z. D. O. Physics

U

U. O. C. Berkeley

B

Berkeley

C

Ca

U

Usa Nuclear Science Division

L

Lawrence Berkeley National Lab.

C

C. D. E. D. D. Astronomia

A

A. M. S. -. U. Bologna

B

Bologna

I

I. Bologna

I

Italy Space Telescope Science Institute

L

L’Aquila

I

Italy Infn -- Laboratori Nazionali del Gran Sasso

A

Assergi

A

Aq

I

Italy Universita' di Milano Bicocca

M

Milano

I

I. D. D. Fisica

U

U. Milano-Bicocca

I

Italy Engineering Division

U

Usa

Format Sitasi

APA MLA BibTeX
Vetter, K., Beretta, M., Capelli, C., Corso, F.D., Hansen, E.V., Huang, R. et al. (2023). Improving the performance of cryogenic calorimeters with nonlinear multivariate noise cancellation algorithms. https://doi.org/10.1140/epjc/s10052-024-12595-y

Akses Cepat

Lihat di Sumber doi.org/10.1140/epjc/s10052-024-12595-y
Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
8×
Sumber Database
Semantic Scholar
DOI
10.1140/epjc/s10052-024-12595-y
Akses
Open Access ✓