Study of Dissipative Losses in AC-Biased Mo/Au Bilayer Transition-Edge Sensors

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Sakai2018_Article_StudyOfDissipativeLossesInAC-B.pdf (1.99 MB)

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https://link.springer.com/article/10.1007%2Fs10909-018-2002-4

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https://doi.org/10.1007/s10909-018-2002-4
 http://hdl.handle.net/11603/24045

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UMBC Center for Space Sciences and Technology (CSST) / Center for Research and Exploration in Space Sciences & Technology II (CRSST II)
UMBC Faculty Collection
UMBC Physics Department

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Author/Creator ORCID

https://orcid.org/0000-0002-9247-3010
 https://orcid.org/0000-0003-4096-4675
 https://orcid.org/0000-0001-8397-9338

Date

2018-06-26

Type of Work

journal articles
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Citation of Original Publication

Sakai, K., Adams, J.S., Bandler, S.R. et al. Study of Dissipative Losses in AC-Biased Mo/Au Bilayer Transition-Edge Sensors. J Low Temp Phys 193, 356–364 (2018). https://doi.org/10.1007/s10909-018-2002-4

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This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
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Abstract

We are developing kilo-pixel arrays of transition-edge sensors (TESs) for the X-ray Integral Field Unit on ESA’s Athena observatory. Previous measurements of AC biased Mo/Au TESs have highlighted a frequency-dependent loss mechanism that results in broader transitions and worse spectral performance compared to the same devices measured under DC bias. In order to better understand the nature of this loss, we are now studying TES pixels in different geometric configurations. We present measurements on devices of different sizes and with different metal features used for noise mitigation and X-ray absorption. Our results show how the loss mechanism is strongly dependent upon the amount of metal in close proximity to the sensor and can be attributed to induced eddy current coupling to these features. We present a finite element model that successfully reproduces the magnitude and geometry dependence of the losses. Using this model, we present mitigation strategies that should reduce the losses to an acceptable level.