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Nicolás Cardiel edited this page Jan 16, 2019 · 10 revisions

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FRIDA Data Reduction Pipeline

FRIDA (inFrared Imager and Dissector for Adaptative optics) is a second-generation instrument for the 10 m Gran Telescopio de Canarias (GTC) and the first proposed for working with its Adaptative Optics system.

FRIDA will provide diffraction-limited imaging and integral field spectroscopy using an image slicer, from 0.9 to 2.5 microns. Its combination of high spatial and spectral resolutions and its operating wavelength range will provide FRIDA with unique capabilities among other existing integral field units.

The FRIDA collaboration

FRIDA is being built by a team of scientists and engineers from a consortium of institutions in Mexico, Spain, the United States of America, and France:

  • The Instituto de Astronomía of the Universidad Nacional Autónoma de México (UNAM, Mexico);
  • The Instituto de Astrofísica de Canarias (Spain);
  • The Department of Astronomy of the University of Florida (USA);
  • The Departamento de Astrofísica de la Universidad Complutense de Madrid (UCM, Spain);
  • The Observatoire Midi-Pyrenees (France);
  • The Centro de Ingeniería y Desarrollo Industrial (CIDESI, Mexico).

The consortium is led by the Instituto de Astronomía of the Universidad Nacional Autónoma de México. FRIDA has two observing capabilities: diffraction-limited near infrared (NIR) imaging and integral field spectroscopy (IFS). The FRIDA integral field spectroscopy mode uses an image slicer.

For more details, visit the FRIDA home page at http://www.astroscu.unam.mx/~alan/frida/

The FRIDA DFP and DRP

It is important to highlight the differences between the Data Factory Pipeline (DFP) and the Data Reduction Pipeline (DRP).

The main objectives of the '''FRIDA DFP''' are to:

  • Provide a basic data reduction to the FRIDA data at the telescope to allow a quick look inspection of the images in real time and a basic quality assessment of the data during the run. Reduced data products will be temporarily stored in the GTC data archive, but will not be distributed to final users.
  • Obtain basic quality control (QC) and monitoring data to check health of the instrument and its correct operation at the telescope.

The main objective of the '''FRIDA DRP''' is to:

  • Perform a complete and personalized reduction of FRIDA data at scientific level in laptops of final users.

The FRIDA DFP and DRP shall be composed by a set of robust software tools and algorithms optimized for handling and reducing FRIDA NIR data, following certain Quality Assessment rules. Both pipelines will execute certain reduction recipes (RRs) based on the FRIDA Observing Modes (OMs), that will perform different levels of data reduction. Each pipeline is optimized for different tasks and will run in different environments: the DFP will be embedded in the GTC Control System (GCS), while the DRP shall be portable to a wide range of platforms and computers.

The DFP will be executed at the GTC by telescope staff exclusively, whereas the DRP is conceived to be used by end users to perform a personalized data reduction to FRIDA data at their own computers. The DFP will be programmed in Python according to the software architecture of the GTC Data Factory.

The DRP will recycle the DFP code partially, but will work on the common services package (Numina: https://github.com/guaix-ucm/numina) developed by Sergio Pascual, with the collaboration of Nicolás Cardiel (UCM). Numina will handle and execute the Reduction Recipes in the stand-alone versions of the data reduction pipelines being developed for different GTC instruments (EMIR, MEGARA and FRIDA). It includes functions and classes useful for all the pipelines: base classes for Recipes, plugin Application Programming Interface (API), etc. With Numina, a basic recipe execution program is provided, so that a user is able to run recipes by hand in his/her own laptop. The Command Line Interface (CLI) tool is in charge of loading the recipe, configure it using configuration files, and run it with available data in the disk. Based on the plugin architecture of the recipes, more complex recipe runners can be created without modifying the reduction recipes. The DRP will also have a complete set of tasks for step-by-step data reduction with manual and on-line helps.

Developers of FRIDA DFP and DRP

  • Nicolás Cardiel (software and documentation, FRIDA co-investigator at UCM)
  • Sergio Pascual (software and documentation)
  • M. Carmen Eliche Moral (documentation)
  • Jesús Gallego Maestro (documentation, associated co-investigator at UCM)
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