All software
ATLAS Open Data 13 TeV analysis C++ framework
A repository with 12 high energy physics analysis examples using the ATLAS Open Data 13 TeV dataset released in 2020. It is written in C++ and some bash scripts. * Documentation of the code: http://opendata.atlas.cern/release/2020/documentation/frameworks/cpp.html * Documentation of the analysis:...
cds-escape-tutorials
Jupyter Notebook tutorials using astronomical databases and Virtual Observatory tools
- virtual-observatory databases python
- ("Jupyter Notebook")
- (Just)
CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction
CTLearn is a high-level Python package providing a backend for training deep learning models for the reconstruction of imaging atmospheric Cherenkov telescope events using TensorFlow.
- deep learning
- Event reconstruction
- High energy physics
- + 1
- (Dockerfile)
- ("Jupyter Notebook")
- (Python)
Dark matter constraints from dwarf galaxies: a data-driven LAT analysis
Python code to derive data-driven upper limits on the thermally averaged, velocity-weighted pair-annihilation cross-section (velocity-independent) of a user-defined particle dark matter model using the expected differential gamma-ray spectrum of pair-annihilation events (provided by the user) as ...
- ESCAPE
- jupyter-notebook
- ("Jupyter Notebook")
- (Python)
Dockerfile to extract Gravitational Wave data from the ESCAPE datalake
This is a container to extract Gravitational Wave (GW) data from the datalake using Rucio and feed 1 second GW frames to the GW pipelines.
- EGO-Virgo
- (Dockerfile)
- (Python)
- (Shell)
eossr
The ESCAPE OSSR library The eOSSR is the Python library to programmatically manage the ESCAPE OSSR.In particular, it includes: - an API to access the Zenodo and the OSSR, retrieve records and publish content - functions to map and convert metadata from CodeMeta to Zenodo metadata shema - functi...
- jupyter-notebook
- zenodo
- (Dockerfile)
- (Python)
ESCAPE template project
An example of software project template for the ESCAPE 2020 European project
- ESCAPE
- jupyter-notebook
- (Dockerfile)
- ("Jupyter Notebook")
- (Python)
- + 1
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)
FairMQ
C++ Message Queuing Library and Framework
- (C)
- (C++)
- (CMake)
- + 2
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)
Gammapy: Python toolbox for gamma-ray astronomy
Gammapy analyzes gamma-ray data and creates sky images, spectra and lightcurves, from event lists and instrument response information; it can also determine the position, morphology and spectra of gamma-ray sources. It is used to analyze data from H.E.S.S., Fermi-LAT, HAWC, and the Cherenkov Tele...
- astronomy
- Data Analysis
- Gamma-rays
- (Cython)
- (Makefile)
- (Python)
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