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ML pipeline for Solar Dynamics Observatory (SDO) data

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 12 Jan 2021 English Publisher:Zenodo
Authors: Salvatelli, Valentina; Neuberg, Brad; Dos Santos, Luiz F. G.; Bose, Souvik; Cheung, Mark C. M; Janvier, Miho; Jin, Meng; +2 Authors

doi: 10.5281/zenodo.6954828 , 10.5281/zenodo.4434743 , 10.5281/zenodo.4434744

ML pipeline for Solar Dynamics Observatory (SDO) data

Abstract

This software has been developed from the [FDL SDO Team](https://frontierdevelopmentlab.org/2019-sdo). The package contains: a configurable pipeline to train and test ML models on data from the Solar Dynamics Observatory some notebooks for data exploration and results analysis. It contains all the code supporting the publications: [Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly using Machine Learning](https://arxiv.org/abs/2012.14023) "Exploring the Limits of Synthetic Creation of Solar EUV Images via Image-to-Image Translation" Accepted for publication on ApJ (July 2022)

Keywords

remote sensing, machine learning, instrument calibration, deep learning, synthetic images, solar physics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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