Data

Tools

Indexes

Applications

Experiments

Open Source Science

swift_comet_pipeline

https://github.com/sjoset/swift_comet_pipeline

Science Score: 44.0%

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
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (8.6%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: sjoset
  • License: gpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 54.1 MB
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Created almost 3 years ago · Last pushed 7 months ago
Metadata Files
Readme License Citation

README.md

swiftcometpipeline

A package to analyze UVOT image data of comets from the Swift satellite (https://www.swift.ac.uk/). A related project at https://github.com/sjoset/swiftportaldownloader automates the acquisition of data appropriate for this pipeline.

Development installation:

Install poetry

https://www.python-poetry.org

Create conda environment with python

conda create --name env_name_here python=3.11 conda activate env_name_here

Clone this repository

Install package locally

In the repository's directory: poetry install

Configuration

Configuration is stored in a YAML file with the following entries to start a project: swift_data_path: /path/to/swift/data/ project_path: /path/to/where/to/save/results jpl_horizons_id: String identifying comet that JPL Horizons can use to find comet orbital information vectorial_model_quality: String to select the calculation quality of the models used to determine water production: may be low, medium, high, or very_high vectorial_model_backend: [sbpy, rust] By default the file config.yaml in the current directory is assumed unless specified otherwise on the command line.

An example config might look like this:

config.yaml

swift_data_path: /Users/user/swift_data_downloads/c2013us10 project_path: /Users/user/analysis_c2013us10 jpl_horizons_id: C/2013 US10 vectorial_model_quality: very_high vectorial_model_backend: sbpy

Owner

  • Login: sjoset
  • Kind: user

Graduate Student, Auburn University

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Oset"
  given-names: "Shawn"
  orcid: "https://orcid.org/0000-0001-6422-1038"
title: "swift_comet_pipeline"
version: 0.2.2
date-released: 2025-06-05
url: "https://github.com/sjoset/swift_comet_pipeline"

GitHub Events

Total
  • Push event: 30
Last Year
  • Push event: 30

Dependencies

pyproject.toml pypi
poetry.lock pypi
  • astropy 5.3.4
  • astroquery 0.4.6
  • beautifulsoup4 4.12.2
  • certifi 2023.7.22
  • cffi 1.16.0
  • charset-normalizer 3.3.1
  • colorama 0.4.6
  • contourpy 1.1.1
  • cryptography 41.0.5
  • cycler 0.12.1
  • fonttools 4.43.1
  • html5lib 1.1
  • idna 3.4
  • importlib-metadata 6.8.0
  • jaraco-classes 3.3.0
  • jeepney 0.8.0
  • keyring 24.2.0
  • kiwisolver 1.4.5
  • markdown-it-py 3.0.0
  • matplotlib 3.8.0
  • mdurl 0.1.2
  • more-itertools 10.1.0
  • numpy 1.26.1
  • packaging 23.2
  • pandas 2.1.1
  • photutils 1.9.0
  • pillow 10.1.0
  • pyarrow 13.0.0
  • pycparser 2.21
  • pyerfa 2.0.1.1
  • pygments 2.16.1
  • pyparsing 3.1.1
  • python-dateutil 2.8.2
  • pytz 2023.3.post1
  • pyvo 1.4.2
  • pywin32-ctypes 0.2.2
  • pyyaml 6.0.1
  • requests 2.31.0
  • rich 13.6.0
  • scipy 1.11.3
  • secretstorage 3.3.3
  • setuptools 68.2.2
  • setuptools-scm 8.0.4
  • six 1.16.0
  • soupsieve 2.5
  • tomli 2.0.1
  • tqdm 4.66.1
  • typing-extensions 4.8.0
  • tzdata 2023.3
  • urllib3 2.0.7
  • webencodings 0.5.1
  • zipp 3.17.0