Nonlinear optimal filter technique for analyzing energy depositions in TES sensors driven into saturation
Author(s) -
B. Shank,
J. J. Yen,
B. Cabrera,
John Mark Kreikebaum,
R. A. Moffatt,
P. Redl,
Betty Young,
P. L. Brink,
Matthew Cherry,
A. Tomada
Publication year - 2014
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/1.4901291
Subject(s) - saturation (graph theory) , nonlinear system , detector , physics , transition edge sensor , filter (signal processing) , thermal , quasiparticle , energy (signal processing) , enhanced data rates for gsm evolution , superconductivity , materials science , computational physics , optoelectronics , optics , condensed matter physics , computer science , electrical engineering , bolometer , engineering , telecommunications , mathematics , quantum mechanics , combinatorics , meteorology
We present a detailed thermal and electrical model of superconducting transition edge sensors (TESs) connected to quasiparticle (qp) traps, such as the W TESs connected to Al qp traps used for CDMS (Cryogenic Dark Matter Search) Ge and Si detectors. We show that this improved model, together with a straightforward time-domain optimal filter, can be used to analyze pulses well into the nonlinear saturation region and reconstruct absorbed energies with optimal energy resolution
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