All software
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
G-Tomo
The G-Tomo scientific data application (SDA) created by the EXPLORE project allows users to extract 1d profiles and 2d maps from the latest 3d dust extinction maps based on Gaia eDR3 and 2MASS data (Lallement et al. 2022).
- Extinction
- Gaia; Content: Astronomy
- Galactic
- + 2
- CSS
- Dockerfile
- Python
- + 1
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
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
Jupyter-CASA
A Jupyter kernel for CASA, a popular data processing suite for radio astronomy. The software is packaged together with CASA as a Docker container.
- astronomy
- JIVE
- jupyter-notebook
- Dockerfile
- Jupyter Notebook
- Python
- + 2