Data

Tools

Indexes

Applications

Experiments

Open Source Science

g-arch

G-Arch (Galactic Archaeology) app to extract stellar parameters and elemental abunances from Gaia RVS spectra

https://github.com/explore-platform/g-arch

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.9%) to scientific vocabulary

Keywords

abundances gaiadr3 rvs stellar-spectroscopy
Last synced: 7 months ago · JSON representation ·

Repository

G-Arch (Galactic Archaeology) app to extract stellar parameters and elemental abunances from Gaia RVS spectra

Basic Info
  • Host: GitHub
  • Owner: explore-platform
  • License: apache-2.0
  • Language: TypeScript
  • Default Branch: master
  • Homepage: https://explore-platform.eu
  • Size: 61.4 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 4
  • Releases: 0
Topics
abundances gaiadr3 rvs stellar-spectroscopy
Created over 2 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation Codemeta

README.md

G-Arch

Local installation

G-Arch can be run locally at http://localhost:8000/:

git clone https://github.com/explore-platform/g-arch.git
cd g-arch
docker-compose up --build

Requires docker.

Install data files (see next section) in a local folder and update docker-compose.yml to point to this folder.

Data

Input data files can be retrieved from Zenodo ZenodoID. For local deployment these can be added to '_APPDATA/science/'.

App structure

This project is composed of 3 components which are in a single docker container.

  • visualiser (the frontend) - a react project built with vite
  • api (backend api) - the api to interface with the science algorithm, in this cas the matissev4
  • science (science algorithm) - The G-Arch main algorithm section

How does it work

API & Mv4

The API simply allows the app to launch the Mv4 algorithm by generating the properties file that will be used by the script, and then using the CLI to launch it with this properties file

The UI

  1. Allows the user to call the API with the required inputs and parameters
  2. Allows the user to visualise said data via plots and tables

Development roadmap

  • [ ] adapt to new data, if required (e.g. Gaia DR4)
  • [ ] UI improvements (user feedback)
  • [ ] implement new version of Matisse code

Acknowledgements

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101004214.

Owner

  • Name: EXPLORE
  • Login: explore-platform
  • Kind: organization
  • Email: contact@explore-platform.eu

Citation (CITATION.cff) 

cff-version: 1.2.0
title: G-Arch
message: >-
  If you use this software, please cite it using the metadata from this file.
type: software
authors:
  - given-names: Louis
    family-names: Kleverman
    email: louis.kleverman@acri-st.fr
    affiliation: ACRI-ST
identifiers:
  - type: doi
    value: 10.5281/zenodo.6670298
repository-code: 'https://github.com/explore-platform/g-arch'
url: 'https://explore-platform.eu'
repository: ''
repository-artifact: ''
abstract: |-
  The EXPLORE G-Arch app allows users to retrieve stellar parameters from Gaia RVS spectra using the Mattisse algorithm.
keywords:
  - EXPLORE
  - Horizon 2020
  - galactic
license: Apache-2.0
version: v1
date-released: '2023-07-01'

GitHub Events

Total
Last Year

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 2
  • Total Committers: 2
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.5
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
kalaschsoyuz k****z 1
Nick n****x@a****r 1
Committer Domains (Top 20 + Academic)
acri-st.fr: 1

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 5
  • Total pull requests: 0
  • Average time to close issues: 8 days
  • Average time to close pull requests: N/A
  • Total issue authors: 2
  • Total pull request authors: 0
  • Average comments per issue: 0.4
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • kalaschsoyuz (4)
  • ACsillaghy (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels