RT Book, Section
T1 Pulse processing in TES detectors: comparative of different short filter methods based on optimal filtering. Case study for Athena X-IFU
A1 Coboa, Beatriz
A1 Cardiel López, Nicolás
A1 Ceballosa, María Teresa
A1 Peillec, Philippe
AB In the framework of the ESA Athena mission, the X-ray Integral Field Unit (X-IFU) instrument to be on board the X-ray Athena Observatory is a cryogenic micro-calorimeter array of Transition Edge Sensor (TES) detectors aimed at providing spatially resolved high-resolution spectroscopy. As a part of the on-board Event Processor (EP), the reconstruction software will provide the energy, spatial location and arrival time of the incoming X-ray photons hitting the detector and inducing current pulses on it. Being the standard optimal filtering technique the chosen baseline reconstruction algorithm, different modifications have been analyzed to process pulses shorter than those considered of high resolution (those where the full length is not available due to a close pulse after them) in order to select the best option based on energy resolution and computing performance results. It can be concluded that the best approach to optimize the energy resolution for short filters is the 0-padding filtering technique, benefiting also from a reduction in the computational resources. However, it’s high sensitivity to offset fluctuations currently prevents its use as the baseline treatment for the X-IFU application for lack of consolidated information on the actual stability it will get in flight.
PB SPI-Int Soc. Optical Engineering
SN 978-1-5106-3676-7
YR 2021
FD 2021-12-28
LK https://hdl.handle.net/20.500.14352/2448
UL https://hdl.handle.net/20.500.14352/2448
LA eng
NO © 2020 SPIE. Conference on Space Telescopes and Instrumentation - Ultraviolet to Gamma Ray / SPIE Astronomical Telescopes + Instrumentation Conference (DEC 14-18, 2020, On-line). This work has been funded by the Spanish Ministry of Science, Innovation and Universities (MICINN) under project RTI2018-096686-B-C21 (co-funded by FEDER funds) and by the Spanish State Research Agency (AEI), Excellency Unit María de Maeztu, MDM-2017-0765.
NO Ministerio de Ciencia e Innovación (MICINN)/FEDER
NO Unidad de Excelencia María de Maeztu
DS Docta Complutense
RD 7 may 2024