Nonlinear Optimal Filter Technique For Analyzing Energy Depositions In TES Sensors Driven Into Saturation

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

Instrumentation and Detectors 2014-06-30 v1 Superconductivity

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

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Abstract

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.

Keywords

transition edge sensors nonlinear optimal filter energy deposition saturation quasiparticle traps cdms thermal and electrical model

Cite

@article{arxiv.1406.7030,
  title  = {Nonlinear Optimal Filter Technique For Analyzing Energy Depositions In TES Sensors Driven Into Saturation},
  author = {B. Shank and J. J. Yen and B. Cabrera and J. M. Kreikebaum and R. Moffatt and P. Redl and B. A. Young and P. L. Brink and M. Cherry and A. Tomada},
  journal= {arXiv preprint arXiv:1406.7030},
  year   = {2014}
}

Comments

companion paper to J. J. Yen's "Measurement Of Quasiparticle Transport In Aluminum Films Using Tungsten Transition-Edge Sensors"

Nonlinear Optimal Filter Technique For Analyzing Energy Depositions In TES Sensors Driven Into Saturation

Abstract

Keywords

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