Study of SVOM/ECLAIRs inhomogeneities in the detection plane below 8 keV and their mitigation for the trigger performances
The Space-based multi-band astronomical Variable Objects Monitor (SVOM) is a Chinese-French mission dedicated to the study of the transient sky. It is scheduled to start operations in 2024. ECLAIRs is a coded-mask telescope with a large field of view. It is designed to detect and localize gamma-ray...
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Zusammenfassung: | The Space-based multi-band astronomical Variable Objects Monitor (SVOM) is a
Chinese-French mission dedicated to the study of the transient sky. It is
scheduled to start operations in 2024. ECLAIRs is a coded-mask telescope with a
large field of view. It is designed to detect and localize gamma-ray bursts
(GRBs) in the energy range from 4 keV up to 120 keV. In 2021, the ECLAIRs
telescope underwent various calibration campaigns in vacuum test-chambers to
evaluate its performance. Between 4 and 8 keV, the counting response of the
detection plane shows inhomogeneities between pixels from different production
batches. The efficiency inhomogeneity is caused by low-efficiency pixels (LEPs)
from one of the two batches, together with high-threshold pixels (HTPs) whose
threshold was raised to avoid cross-talk effects. In addition, some unexpected
noise was found in the detection plane regions close to the heat pipes. We
study the impact of these inhomogeneities and of the heat-pipe noise at low
energies on the ECLAIRs onboard triggers. We propose different strategies in
order to mitigate these impacts and to improve the onboard trigger performance.
We analyzed the data from the calibration campaigns and performed simulations
with the ground model of the ECLAIRs trigger software in order to design and
evaluate the different strategies. Most of the impact of HTPs can be corrected
for by excluding HTPs from the trigger processing. To correct for the impact of
LEPs, an efficiency correction in the shadowgram seems to be a good solution.
An effective solution for the heat-pipe noise is selecting the noisy pixels and
ignoring their data in the 4--8 keV band during the data analysis. |
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DOI: | 10.48550/arxiv.2401.13619 |