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

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

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, tog...

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Main Authors: B. Shank, J. J. Yen, B. Cabrera, J. M. Kreikebaum, R. Moffatt, P. Redl, B. A. Young, P. L. Brink, M. Cherry, A. Tomada
Format: Article
Language:English
Published: AIP Publishing LLC 2014-11-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/1.4901291
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spelling doaj-9e5bd63c271f425e87cb60b4b276a3002020-11-24T21:04:43ZengAIP Publishing LLCAIP Advances2158-32262014-11-01411117106117106-710.1063/1.4901291007411ADVNonlinear optimal filter technique for analyzing energy depositions in TES sensors driven into saturationB. Shank0J. J. Yen1B. Cabrera2J. M. Kreikebaum3R. Moffatt4P. Redl5B. A. Young6P. L. Brink7M. Cherry8A. Tomada9Dept. of Physics, Stanford University, Stanford, CA 94305, USADept. of Physics, Stanford University, Stanford, CA 94305, USADept. of Physics, Stanford University, Stanford, CA 94305, USADept. of Physics, Stanford University, Stanford, CA 94305, USADept. of Physics, Stanford University, Stanford, CA 94305, USADept. of Physics, Stanford University, Stanford, CA 94305, USADept. of Physics, Santa Clara University, Santa Clara, CA 95053, USASLAC National Accelerator Facility, Menlo Park, CA 94025, USASLAC National Accelerator Facility, Menlo Park, CA 94025, USASLAC National Accelerator Facility, Menlo Park, CA 94025, USA 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. http://dx.doi.org/10.1063/1.4901291
collection DOAJ
language English
format Article
sources DOAJ
author B. Shank
J. J. Yen
B. Cabrera
J. M. Kreikebaum
R. Moffatt
P. Redl
B. A. Young
P. L. Brink
M. Cherry
A. Tomada
spellingShingle B. Shank
J. J. Yen
B. Cabrera
J. M. Kreikebaum
R. Moffatt
P. Redl
B. A. Young
P. L. Brink
M. Cherry
A. Tomada
Nonlinear optimal filter technique for analyzing energy depositions in TES sensors driven into saturation
AIP Advances
author_facet B. Shank
J. J. Yen
B. Cabrera
J. M. Kreikebaum
R. Moffatt
P. Redl
B. A. Young
P. L. Brink
M. Cherry
A. Tomada
author_sort B. Shank
title Nonlinear optimal filter technique for analyzing energy depositions in TES sensors driven into saturation
title_short Nonlinear optimal filter technique for analyzing energy depositions in TES sensors driven into saturation
title_full Nonlinear optimal filter technique for analyzing energy depositions in TES sensors driven into saturation
title_fullStr Nonlinear optimal filter technique for analyzing energy depositions in TES sensors driven into saturation
title_full_unstemmed Nonlinear optimal filter technique for analyzing energy depositions in TES sensors driven into saturation
title_sort nonlinear optimal filter technique for analyzing energy depositions in tes sensors driven into saturation
publisher AIP Publishing LLC
series AIP Advances
issn 2158-3226
publishDate 2014-11-01
description 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.
url http://dx.doi.org/10.1063/1.4901291
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AT mcherry nonlinearoptimalfiltertechniqueforanalyzingenergydepositionsintessensorsdrivenintosaturation
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