Improving the performance of cryogenic calorimeters with nonlinear multivariate noise cancellation algorithms
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- University of California, Berkeley, CA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Univ. of Bologna (Italy); National Inst. of Nuclear Physics (INFN), Bologna (Italy)
- Gran Sasso Science Institute (Italy); National Inst. of Nuclear Physics (INFN), L'Aquila (Italy)
- Istituto Nazionale di Fisica Nucleare (INFN), Milano (Italy); Univ. di Milano (Italy)
- University of California, Berkeley, CA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States)
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.
- Research Organization:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), High Energy Physics (HEP); USDOE Office of Science (SC), Nuclear Physics (NP)
- Grant/Contract Number:
- AC02-05CH11231; FG02-00ER41138; AC02-814 05CH1123; FG02-00ER4113
- OSTI ID:
- 2320310
- Alternate ID(s):
- OSTI ID: 2426870
- Journal Information:
- European Physical Journal. C, Particles and Fields (Online), Vol. 84, Issue 3; ISSN 1434-6052
- Publisher:
- Springer NatureCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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