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Data · dataset · 2026

Dataset of Paper "Reconstructing Soft X-ray Photon Count Rates with Missing Segments A Physics-Guided Deep Learning Approach"

Listed in ScienceDB

We proposed a deep-learning-based approach to impute soft X-ray photon count rates, thereby addressing the issue of missing data caused by soft proton contamination in photon count rate.Experiments on XMM-Newton data were designed for this method.

Description

The raw data and preprocessed data used in the experiments, as well as the result data are all included in this repository.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Machine learning 70%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.327149 d agoJSON v1
FieldAssertionExtractorEvidence
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