swift_comet_pipeline 0.0.1

Data reduction pipeline for determining water production rates from the Swift telescope's UVOT images

swift_comet_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