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Py7DT.pipeline: Automated Pipeline for 7 Dimensional Telescope Image Processing

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Overview

Py7DT.pipeline is a comprehensive pipeline designed for processing optical astronomical images from 7 dimensional telescope (7DT), originally developed for IMSNG/GECKO (GitHub). The package implements a multi-threaded approach utilizing GPU and CPU multiprocessing to efficiently handle various stages of astronomical data processing, including:

  • Data reduction
  • Astrometric calibration
  • Photometric calibration
  • Image stacking
  • Image subtraction
  • Automated transient detection

Installation

We recommend using conda for installation:

conda env create -f environment.yml

This command will create a new environment named pipeline with all required packages listed in environment.yml. Activate this environment by running conda activate pipeline. Additionally, you will need to install external packages from astromatic.net: MissFITs, SCAMP, SWarp, SExtractor, etc.

History and Development

This pipeline is based on gpPy-gpu, whose predecessor, gpPy, was originally developed in 2018 by Gregory Paek. The first release of gpPy-gpu was on September 1, 2023. gpPy-gpu underwent significant renovation to become a new package, Py7DT.pipeline, adding advanced orchestrating features. While the core part is named pipeline, Py7DT aims to be an encompassing framework of all 7DT-related tasks.

Development Team

  • Current Maintainers/Developers:
    • Donghwan Hyun
    • Donggeun Tak
  • Core Contributors:
    • Gregory Paek
    • Donghwan Hyun
    • Donggeun Tak
    • WonHyeong Lee

Contact

If you have any inquiries or feedback, please contact the 7DT pipeline team via email at 7dt.pipeline@gmail.com or open an issue on our GitHub repository.

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7DT data reduction pipeline

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