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Eventdisplay-ML: a machine learning toolkit for Eventdisplay

Authors: Maier, Gernot;

Eventdisplay-ML: a machine learning toolkit for Eventdisplay

Abstract

Eventdisplay-ML - a toolkit to interface and run machine learning methods together with the Eventdisplay software package for gamma-ray astronomy data analysis. First fully stable release of Eventdisplay-ML for stereo (direction and energy) reconstruction. Tested and validated on both VERITAS and CTAO simulations plus VERITAS data. Compatible with: Eventdisplay for CTAO simulations v5.17.0 Eventdisplay for VERITAS v4.92 (not released yet)

If you use this software, please cite it using these metadata.

Keywords

gamma-ray astronomy, astronomy software, Imaging Atmospheric Cherenkov Telescope, VERITAS, Eventdisplay

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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!
0
Average
Average
Average