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atari

AI/ML Tool for Automated Resonance Identification

https://github.com/naww137/atari

Science Score: 57.0%

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
    Found 6 DOI reference(s) in README
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    Academic publication links
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.3%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

AI/ML Tool for Automated Resonance Identification

Basic Info
  • Host: GitHub
  • Owner: Naww137
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 286 MB
Statistics
  • Stars: 6
  • Watchers: 2
  • Forks: 1
  • Open Issues: 3
  • Releases: 0
Created almost 4 years ago · Last pushed 10 months ago
Metadata Files
Readme License Citation

README.md

ATARI

AI/ML Tool for Automated Resonance Identification

This is the repository for scripts, documents, and other resources relevant to the ATARI project, a part of Noah Walton's PhD research at the University of Tennessee. If you use this software, please cite the code using the citation link in the right hand pannel of this GitHub page and the appropriate journal publication detailing the methodology.

The methodology for generating synthetic neturon time-of-flight data can be found here.

The methodology for automated resonance fitting can be found here.

The initial demonstration for validating the automated fitting tool with the synthetic data approach can be found here.

Installing Dependencies

ATARI has several dependencies. Most of the dependencies can be read from requirements.txt. To install these dependencies, run the following line.

pip install -r requirements.txt

Most of ATARI's capabilities requires SAMMY to be installed. SAMMY is open source and can be coupled to ATARI simply by providing a path to the local SAMMY executable after build/install of SAMMY. This is done for each script that is run.

Soon to come... a persistent link to SAMMY during install of the ATARI code...

Quick Installation

ATARI can be installed quickly using pip:

pip install --upgrade git+https://github.com/Naww137/ATARI.git

Installing from a cloned directory

To clone ATARI, first migrate to the desired directly. Use the following command to clone the ATARI directory:

git clone https://github.com/Naww137/ATARI.git

Migrate to the ATARI directory and run pip install .. Alternatively, if you plan to make changes to the code, run pip install -e .. Note that the -e option may not work on all systems. If your python environment is not active, run python -m pip install . or python -m pip install -e ..

Owner

  • Login: Naww137
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.0.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Walton
    given-names: Noah
    orcid: https://orcid.org/0000-0002-9653-0000
title: "ATARI"

GitHub Events

Total
  • Watch event: 1
  • Delete event: 9
  • Issue comment event: 1
  • Push event: 67
  • Pull request event: 16
  • Create event: 16
Last Year
  • Watch event: 1
  • Delete event: 9
  • Issue comment event: 1
  • Push event: 67
  • Pull request event: 16
  • Create event: 16