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| Presentation | 2022-01-21 15:30 Gamma-ray transition edge sensors with a thick-trilayer membrane; Thermal Property & Microwave Multiplexing Takahiro Kikuchi, Go Fujii (AIST), Ryota Hayakawa (TMU), Ryan Smith (UTokyo), Fuminori Hirayama, Yasushi Sato, Satoshi Kohjiro, Masahiro Ukibe (AIST), Masashi Ohno (UTokyo), Akira Sato, Hirotake Yamamori (AIST)  SCE2021-16 Link to ES Tech. Rep. Archives: SCE2021-16 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Thick membranes of the gamma-ray transition-edge sensor (γ-TES) generally exhibit great mechanical strength and can support a bulk metal absorber typically for γ-TESs. However, for conventional silicon-nitride (SixNy) membranes, thermal conductance (G) is proportional to the thickness, indicating that thicker membranes provide larger thermal-fluctuation noise in TESs. We propose a thick-trilayer membrane consisting of the silicon oxide (SiO2), SixNy, and SiO2 layers. The SixNy layer accounts for 5.8 μm of the total 6.9 μm, and thus it is expected to be hard compared with conventional SixNy membranes with typical thickness below 1 μm. G of the trilayer membrane is characterized as a function of heat-transport distance (L) and the G-L relation follows that of the intermediate model between ballistic and diffusive transports. Resulting G of the thick-trilayer membrane is 1.1–1.7 nW/K which is not far from the one reported by conventional SixNy membranes. Gamma-ray spectroscopy around 93 keV is carried out based on series biased 5-pixels TES. The best full-width-half-maximum energy resolution among all pixels under characterization is 43.1±1.6 eV for 93-keV that is close to the median value of a state-of-the-art 236-pixels γ-TES in the literature. The measured low-frequency noise can be represented by theoretical phonon noise and its excess component with the same order as conventional ones. The thick-trilayer membrane is demonstrated to be able to work without any problems in a γ-TES regime. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Transition-Edge Sensor / Gamma-ray Spectroscopy / Trilayer Membrane / Thermal Conductance / Microwave Resonator / Superconducting Quantum Interference Device / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 340, SCE2021-16, pp. 22-27, Jan. 2022. | |
| Paper # | SCE2021-16 | |
| Date of Issue | 2022-01-14 (SCE) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | SCE2021-16 Link to ES Tech. Rep. Archives: SCE2021-16 |
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| Conference Information | |
| Committee | SCE |
| Conference Date | 2022-01-21 - 2022-01-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SCE |
| Conference Code | 2022-01-SCE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Gamma-ray transition edge sensors with a thick-trilayer membrane; Thermal Property & Microwave Multiplexing |
| Sub Title (in English) | |
| Keyword(1) | Transition-Edge Sensor |
| Keyword(2) | Gamma-ray Spectroscopy |
| Keyword(3) | Trilayer Membrane |
| Keyword(4) | Thermal Conductance |
| Keyword(5) | Microwave Resonator |
| Keyword(6) | Superconducting Quantum Interference Device |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Takahiro Kikuchi |
| 1st Author's Affiliation | The National Institute of Advanced Industrial Science and Technology (AIST) |
| 2nd Author's Name | Go Fujii |
| 2nd Author's Affiliation | The National Institute of Advanced Industrial Science and Technology (AIST) |
| 3rd Author's Name | Ryota Hayakawa |
| 3rd Author's Affiliation | Tokyo Metropolitan University (TMU) |
| 4th Author's Name | Ryan Smith |
| 4th Author's Affiliation | University of Tokyo (UTokyo) |
| 5th Author's Name | Fuminori Hirayama |
| 5th Author's Affiliation | The National Institute of Advanced Industrial Science and Technology (AIST) |
| 6th Author's Name | Yasushi Sato |
| 6th Author's Affiliation | The National Institute of Advanced Industrial Science and Technology (AIST) |
| 7th Author's Name | Satoshi Kohjiro |
| 7th Author's Affiliation | The National Institute of Advanced Industrial Science and Technology (AIST) |
| 8th Author's Name | Masahiro Ukibe |
| 8th Author's Affiliation | The National Institute of Advanced Industrial Science and Technology (AIST) |
| 9th Author's Name | Masashi Ohno |
| 9th Author's Affiliation | University of Tokyo (UTokyo) |
| 10th Author's Name | Akira Sato |
| 10th Author's Affiliation | The National Institute of Advanced Industrial Science and Technology (AIST) |
| 11th Author's Name | Hirotake Yamamori |
| 11th Author's Affiliation | The National Institute of Advanced Industrial Science and Technology (AIST) |
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| Speaker | Author-1 |
| Date Time | 2022-01-21 15:30:00 |
| Presentation Time | 25 minutes |
| Registration for | SCE |
| Paper # | SCE2021-16 |
| Volume (vol) | vol.121 |
| Number (no) | no.340 |
| Page | pp.22-27 |
| #Pages | 6 |
| Date of Issue | 2022-01-14 (SCE) |
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