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Workshop

The content of this workshop was presented at XLVII Reunião Anual da SAB, held in Águas de Lindóia (São Paulo, Brazil)

Requirements

  • Python 3.8
  • splusdata to access S-PLUS data.
  • S-Cubes to create IFS-like galaxy cubes
  • Jupyter to run the notebooks to open the classes and exercises notebooks
  • LSDB to deal with big catalogs
  • S-Cubes requires Source-extractor (SEXtractor) installed either locally or system-wide (to install with aptitude: sudo apt install source-extractor)
  • An user account at S-PLUS Cloud in order to access the necessary data.

Installation

To install splusdata, S-Cubes, Jupyter and LSDB, simply run:

pip install -r requirements.txt

About S-PLUS

Slides

Tutorials

1. Introduction to S-PLUS

2. S-PLUS Data Structures

3. Hands-on: S-PLUS data use - some science cases

4. S-Cubes: Creating IFS-like cubes with S-PLUS data

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