Testing the X-IFU Focal Plane Assembly: PID Temperature Control & Applying Machine Learning to Detector Classification

Dongelmans, Arnold (2020) Testing the X-IFU Focal Plane Assembly: PID Temperature Control & Applying Machine Learning to Detector Classification. Master's Internship Report, Applied Physics.

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Abstract

This internship report describes two pieces of work done to support ground testing of the X-IFU [1] focal plane assembly (FPA). X-IFU stands for X-ray Integral Field Unit, a cryogenic spectrometer, based on a large array of Transition Edge Sensors [2] (TES) which is to be built into the Advanced Telescope for High Energy Astrophysics (ATHENA) [3] chosen for ESA’s Cosmic Vision programme. In the first part of the report, efforts to regulate the 50mK, 300mK and 2K stages of the thermal ground support equipment (TGSE) are described. The aim is for the TGSE to provide a stable thermal environment for testing the X-IFU FPA. The second part of the report is dedicated to a machine-learning approach to classifying the characteristic curves of TES detectors in order to automate the characterization and calibration of X-IFU’s kilopixel detector array.

Item Type:	Thesis (Master's Internship Report)
Supervisor name:	Hoekstra, R.A.
Degree programme:	Applied Physics
Thesis type:	Master's Internship Report
Language:	English
Date Deposited:	07 Aug 2020 14:28
Last Modified:	07 Aug 2020 14:28
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/23022

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