All software
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
ESCAPE template project
An example of software project template for the ESCAPE 2020 European project
- ESCAPE
- jupyter-notebook
- Dockerfile
- Jupyter Notebook
- Python
- + 1
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
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
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
Pipeline for HCG-16 Project
This repository hosts a pipeline to reproduce the data reduction and analysis of Jones et al. 2019.
- astronomy
- Galaxies
- Galaxy Groups
- + 4
- Jupyter Notebook
- Python
- Roff
- + 1
SKAO Science Data Challenge 1 Solution Workflow
The SKA Science Data Challenge 1 (SDC1, https://astronomers.skatelescope.org/ska-science-data-challenge-1/) tasked participants with identifying and classifying sources in synthetic radio images. Here we present an environment and workflow for producing a solution to this challenge that can easil...
- astronomy
- Data
- Machine learning
- + 2
- Dockerfile
- Jupyter Notebook
- Makefile
- + 2
Atlas of climate projections
The atlas demonstrates outputs from the probabilistic projection methods developed or assessed in the European Climate Projection system EUCP Horizon2020 project.
- Visualization
- JavaScript
- Jupyter Notebook
- Python
- + 1
EXCITED Machine Learning Workflow
An open workflow for creating machine learning models for estimating the global biospheric CO2 exchange.
- CO2
- Data Analysis
- geospatial
- + 4
- Jupyter Notebook
- Python
Explainable embeddings
Experiments with regard to explanation of embedded spaces and multi modal models.
- DIANNA
- Embedded spaces
- Explainable AI
- HTML
- Jupyter Notebook
- Python
- + 1
FHIR to CAPACITY
Retrieves and converts patient records from a FHIR endpoint and uploads it to a CAPACITY registry.
- FAIR
- Inter-operability & linked data
- Jupyter Notebook
- Python