The Goodman Data-Reduction Pipeline

Latest release

The Goodman Data-Reduction Pipeline is a Python-based package developed with the goal of processing raw spectra obtained with the Goodman High Throughput Spectrograph at SOAR, and producing one-dimensional, wavelength-calibrated, science quality spectra, in a highly automated way, with minimal user intervention.

The pipeline is divided into two scripts:

  • 1) redccd is used to perform standard data-processing like subtract bias, correct by flat and clean cosmic rays.
  • 2) redspec  performs the basic spectrum operations of object detection, tracing, extraction, background estimation and subtraction, and wavelength calibration.

After some minimal data organization, the user needs only run a single command-line instruction.
Important note: The pipeline has been designed to be run on a dedicated machine available at SOAR via VNC (Virtual Network Computing) for users that have access to the SOAR private network.  This is the recommended way of running the pipeline, and we strongly urge users to process their data on the SOAR dedicated server.

Disclaimer: Though there is the option for users to download the software and install it locally, we do not have resources to provide support or debug problems with local installations.

For further information, details on how to run the software and the full documentation, please click this link go to the official Goodman Data Reduction Pipeline documentation.


Recently we have developed a real-time version of the Goodman Data Reduction Pipeline, the Goodman Live Data Reduction Pipeline, which is now automatically running every night, and produces reduced imaging and spectroscopic data seconds after the raw data are written to disk. The spectra are fully reduced to 1-D, wavelength-calibrated final products. The pipeline is accessed entirely through a web browser, with no code or software to download.  Reduced data can be downloaded directly to your computer.


Goodman DRP team

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Updated on November 24, 2021, 4:52 am