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A Review of X-ray Microcalorimeters Based on Superconducting Transition Edge Sensors for Astrophysics and Particle Physics. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app11093793] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The state-of-the-art technology of X-ray microcalorimeters based on superconducting transition-edge sensors (TESs), for applications in astrophysics and particle physics, is reviewed. We will show the advance in understanding the detector physics and describe the recent breakthroughs in the TES design that are opening the way towards the fabrication and the read-out of very large arrays of pixels with unprecedented energy resolution. The most challenging low temperature instruments for space- and ground-base experiments will be described.
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Wessels A, Morgan K, Gard JD, Hilton GC, Mates JAB, Reintsema CD, Schmidt DR, Swetz DS, Ullom JN, Vale LR, Bennett DA. A model for excess Johnson noise in superconducting transition-edge sensors. APPLIED PHYSICS LETTERS 2021; 118:10.1063/5.0043369. [PMID: 37056739 PMCID: PMC10091309 DOI: 10.1063/5.0043369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Transition-edge sensors (TESs) are two-dimensional superconducting films utilized as highly sensitive detectors of energy or power. These detectors are voltage biased in the superconducting-normal transition where the film resistance is both finite and a strong function of temperature. Unfortunately, the amount of electrical noise observed in TESs exceeds the predictions of existing noise theories. We describe a possible mechanism for the unexplained excess noise, which we term "mixed-down noise." The source is Johnson noise, which is mixed down to low frequencies by Josephson oscillations in devices with a nonlinear current-voltage relationship. We derive an expression for the power spectral density of this noise and show that its predictions agree with measured data.
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Affiliation(s)
- Abigail Wessels
- University of Colorado, Boulder, Colorado 80309, USA
- National Institute of Standards and Technology, Boulder, Colorado 80305, USA
| | - Kelsey Morgan
- University of Colorado, Boulder, Colorado 80309, USA
- National Institute of Standards and Technology, Boulder, Colorado 80305, USA
| | - Johnathon D. Gard
- University of Colorado, Boulder, Colorado 80309, USA
- National Institute of Standards and Technology, Boulder, Colorado 80305, USA
| | - Gene C. Hilton
- National Institute of Standards and Technology, Boulder, Colorado 80305, USA
| | - John A. B. Mates
- University of Colorado, Boulder, Colorado 80309, USA
- National Institute of Standards and Technology, Boulder, Colorado 80305, USA
| | - Carl D. Reintsema
- National Institute of Standards and Technology, Boulder, Colorado 80305, USA
| | - Daniel R. Schmidt
- National Institute of Standards and Technology, Boulder, Colorado 80305, USA
| | - Daniel S. Swetz
- National Institute of Standards and Technology, Boulder, Colorado 80305, USA
| | - Joel N. Ullom
- University of Colorado, Boulder, Colorado 80309, USA
- National Institute of Standards and Technology, Boulder, Colorado 80305, USA
| | - Leila R. Vale
- National Institute of Standards and Technology, Boulder, Colorado 80305, USA
| | - Douglas A. Bennett
- National Institute of Standards and Technology, Boulder, Colorado 80305, USA
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