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2024_domain_adaptation_methods_lst_results

Results from the study presented in the article entilted _Comparative study of unsupervised domain adaptation techniques applied to gamma-ray astronomy with the CTAO Large Sized Telescope-1_

  • Astroparticle Physics
  • CTA
  • Deep learning
  • + 1
4
0

2025-stereograph

This repository contains pre-trained models, computed results, and analysis code for evaluating machine learning approaches (Random Forests, FCNs, and GNNs) on gamma-ray event reconstruction tasks.

  • Astroparticle Physics
  • CTA
  • Deep learning
  • + 2
  • ("Jupyter Notebook")
  • (Shell)
4
0

agnpy

agnpy is a python package focusing on the computation of the radiative processes of relativistic particles accelerated in the jets of Active Galactic Nuclei (AGN). It includes classes describing the galaxy components responsible for line and thermal emission and calculates the absorption due to g...

  • active galactic nuclei
  • Astroparticle Physics
  • blazars
  • + 5
  • (C)
  • ("Jupyter Notebook")
  • (Python)
8
0

ESFRI Science Analysis Platform

ESAP is a science platform toolkit: an integrated set of software components which ESFRIs, ESCAPE project partners, and other groups can use to rapidly assemble and deploy platforms that are customized to the needs of their particular user communities and which integrate their existing service po...

  • Astroparticle Physics
  • CTA
  • EGO-VIRGO
  • + 10
  • (Shell)
34
0

GammaLearn

GammaLearn is a collaborative project to apply deep learning to the analysis of low-level Imaging Atmospheric Cherenkov Telescopes such as CTA. It provides a framework to easily train and apply models from a configuration file. Learn more at https://purl.org/gammalearn

  • CTA
  • Deep learning
  • Gamma-ray telescopes
  • + 1
  • (Dockerfile)
  • (Python)
7
0

gLike

gLike is a general-purpose ROOT-based code framework for the numerical maximization of joint likelihood functions. The joint likelihood function has one free parameter (named g) and as many nuisance parameters as wanted, which will be profiled in the maximization process.

  • CTA
  • dark matter
  • gamma-ray astronomy
  • + 3
  • (C)
  • (C++)
  • (CMake)
  • + 1
4
0

HiPeRTA

HiPeRTA is a C++ library providing High Performance computing algorithms which provide full C++ programs from HiPeCTA C++ sources for the Cherenkov Telescope Array (CTA) low-level data analysis real time reconstruction. It takes advantage of the latest SIMD (Single input multiple data) operations...

  • Astroparticle Physics
  • BLOSC
  • CTA
  • + 7
  • (C)
  • (C++)
  • (CMake)
  • + 2
6
0

IndexedConv

The indexed operations allow the user to perform convolution and pooling on non-Euclidian grids of data given that the neighbors pixels of each pixel is known and provided. It gives an alternative to masking or resampling the data in order to apply standard Euclidian convolution. This solution h...

  • CTA
  • (Python)
3
0