Time-division multiplexing switching transients and bandwidth effects on the X-ray Integral Field Unit readout performance

The X-IFU (X-ray Integral Field Unit), on the future European X-ray observatory NewAthena, will perform high-resolution imaging spectroscopy over an array of 1,504 transition-edge sensors operated at 55 mK. Its readout is performed via time-division multiplexing (TDM) at a few MHz, which relies on fast (but not instantaneous) switching between pixels of the same column. Differences in the currents of consecutive rows lead to signal-dependent transients in the readout. These transients, and how they settle before sampling of the final row signal, are in turn governed by the open-loop bandwidths in the system. Limitations of the bandwidths smear the transients and contaminate the settling of photon pulses, resulting in a frequency- and amplitude-dependent error on the output signal. Switching transients have thus ultimately a direct impact on the instrument's energy scale. Although the origin of these perturbations is well-understood, quantifying their end-to-end impact on performance remains challenging. We compare here experimental data with simulations to assess the accuracy of numerical predictions. We also present an end-to-end analysis of nonlinearity in the X-IFU energy scale due to switching transients, and compare it against current performance budget allocations. These simulations show that the X-IFU can meet its energy scale requirements.

Authors

Publication Details

Journal
Maryland Shared Open Access Repository (USMAI Consortium)
Published
2026-02-13
DOI
https://doi.org/10.13016/m2dfs3-1itu
Primary Topic
Particle Detector Development and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Time-division multiplexing switching transients and bandwidth effects on the X-ray Integral Field Unit readout performance

Kazuhiro Sakai, R. Denis-Jung, Nicholas Wakeham, M. Durkin et al.
Maryland Shared Open Access Repository (USMAI Consortium)
Particle Detector Development and Performance
article

Time-division multiplexing switching transients and bandwidth effects on the X-ray Integral Field Unit readout performance

Kazuhiro Sakai, R. Denis-Jung, Nicholas Wakeham, M. Durkin, W. B. Doriese, O. Maisonnave, C. Kirsch, H. Geoffray, S. P. Smith, A. Panglosse, E. Cucchetti, S. Beaumont, P. Peille
article en

Abstract

The X-IFU (X-ray Integral Field Unit), on the future European X-ray observatory NewAthena, will perform high-resolution imaging spectroscopy over an array of 1,504 transition-edge sensors operated at 55 mK. Its readout is performed via time-division multiplexing (TDM) at a few MHz, which relies on fast (but not instantaneous) switching between pixels of the same column. Differences in the currents of consecutive rows lead to signal-dependent transients in the readout. These transients, and how they settle before sampling of the final row signal, are in turn governed by the open-loop bandwidths in the system. Limitations of the bandwidths smear the transients and contaminate the settling of photon pulses, resulting in a frequency- and amplitude-dependent error on the output signal. Switching transients have thus ultimately a direct impact on the instrument's energy scale. Although the origin of these perturbations is well-understood, quantifying their end-to-end impact on performance remains challenging. We compare here experimental data with simulations to assess the accuracy of numerical predictions. We also present an end-to-end analysis of nonlinearity in the X-IFU energy scale due to switching transients, and compare it against current performance budget allocations. These simulations show that the X-IFU can meet its energy scale requirements.

Maryland Shared Open Access Repository (USMAI Consortium)
Affordable and clean energy
Openalex Percentile: Top 6%
Particle Detector Development and Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.