IFU Tutorial Tools

The tutorial for the LARIM is included in the following file. We strongly recommend to install the Virtual Machine in the link below.

Useful files

  • Tutorial_IFUs.txt . Basic Guide of this tutorial: The file include the sequence foreseen of the tutorial, including the required examples.
  • FIT3D Virtual Machine (VM): If you want to use FIT3D without installing all the software in your computer you can dowload the files in the directory, uncompress using 7z and you will have a VM prepared to run using VirtualBox or other similar tools. The user name to use the software is pipe3D and the password pipe3D. Once you access to that account you can access the "examples" directory and follow the Tutorial included in the file Tutorial_IFU.txt
  • Instructions to Install the different packages . The file include the list of packages to be downloaded and the steps to install them, if you prefer to have a local instalation. It is focused on the Perl version of FIT3D. (NOTE: It takes quite a time)
  • Installating tar-file for Mac (Snow Leopard) users.
  • To install the Python version FIT3D (H.Ibarra), you should download it from the FIT3D webpage. Just download and uncompress the file. You require the following Python packages to run it:
    • numpy
    • matplolib
    • scipy
    • MPI, optinal for many routines
    The Python version is still under construction, and it does not include all the routines.
  • Tutorial directory, with the required example files to follow the tutorial.
  • Additional Useful files, Appart from the software, that we will describe later, it is required to download the following file, containing useful configuration and files needed to follow the tutorial
  • PINGSoft Tutorial. The description of PINGSoft is included below.
  • Instructions to analyze IFS data using Starlight. by E.Perez (in Spanish)

Analysis Tools and useful files

Visualization and spectra/maps extraction Tools
  • PINGSoft, is a set of IDL routines designed to visualise, manipulate, and analyse IFS reduced data regardless of the original instrument and spaxel size/shape, it is able to run on practically any computer platform with minimal library requirements (Rosales-Ortega 2011, 2012).
  • Euro3D Visualization Tool:
    Official Webpage
    Old Unofficial Webpage
  • IFSview, a light and stand-along Python coded tool to visualize IFS datacubes (under development): : IFSview webpage
  • Other recommended visualization tools

  • ds9, from version 7, this popular tool contains a new module, encompassed by the new Frame 3D option, which allows users to load and view data cubes in multiple dimensions. It supports only FITS 3D cube format.
  • QFitsView, by Thomas Ott, is a generic FITS viewer program capable of handling IFS data and performing basic analysis operations on practically any OS flavour. It supports only FITS 3D cube format.
  • Other general astronomical packages that include visualisation tools for IFS data are described in the IFS wiki.

Other Tools
  • CALIFAconvert A tool to convert the CALIFA extensions in separated datacubes.
  • PINGSoft

    PINGSoft includes the script:split_califa, which extracts the FITS extensions of the CALIFA data, writing individual files with the appropriate headers for 3D visualisation.


Additional information