Nonlinear optimal filter technique for analyzing energy depositions in TES sensors driven into saturation

Shank, B.; Yen, J. J.; Cabrera, B.; Kreikebaum, J. M.; Moffatt, R.; Redl, P.; Young, B. A.; Brink, P. L.; Cherry, M.; Tomada, A.

doi:10.1063/1.4901291

Title: Nonlinear optimal filter technique for analyzing energy depositions in TES sensors driven into saturation

Journal Article · Sat Nov 01 00:00:00 EDT 2014 · AIP Advances

DOI:https://doi.org/10.1063/1.4901291· OSTI ID:1183238

Shank, B.; Yen, J. J.; Cabrera, B.; Kreikebaum, J. M.; Moffatt, R.; Redl, P.; Young, B. A.; Brink, P. L.; Cherry, M.; Tomada, A.

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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Research Organization:: SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: FG02-13ER41918; SC000984; PHY-1102842

OSTI ID:: 1183238

Alternate ID(s):: OSTI ID: 1213219; OSTI ID: 1420644

Journal Information:: AIP Advances, Journal Name: AIP Advances Vol. 4 Journal Issue: 11; ISSN 2158-3226

Publisher:: American Institute of PhysicsCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 16 works

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References (8)

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