The content of this workshop was presented at XLVII Reunião Anual da SAB, held in Águas de Lindóia (São Paulo, Brazil)
- 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.
To install splusdata, S-Cubes, Jupyter and LSDB, simply run:
pip install -r requirements.txt
- Intro to splus.cloud and splusdata
- Fast query with lsdb
- [Extra] Extinction Correction and Zero Points in Astronomical Data
