J-PAS Tools School
J-PAS Tools School
The main objective of this School is to provide to J-PAS/J-PLUS members an introduction to the tools to access and handle J-PAS/J-PLUS data, and to present main VO tools and services to analyze astronomical data. The Program consists of a series of online lectures and tutorials on the basic tools to be used on group science projects. Certificates will be given to those working on the projects.
School: May 16, 17, and 19, 2023
Registration deadline: April 15th, 2023
- Simone Daflon (ON, chair)
- Alessandro Ederoclite (CEFCA)
- Tamara Civera (CEFCA)
- Patricia Cruz (CAB/CSIC-INTA)
- Francisco Jiménez-Esteban (CAB/CSIC-INTA)
- Carolina Queiroz (IF/USP)
Simone Daflon: email@example.com
The registration is closed!
If you are interested in attending the J-PAS TOOLS SCHOOL, please contact Simone Daflon (firstname.lastname@example.org).
The participants list is not available yet.
Installing the needed VO tools
It is important to have installed beforehand in your computers the VO tools to be used in the School. They are the following:
- ALADIN: Download the Aladin.jar file (Linux users only) and execute it from a terminal using "java -jar Aladin.jar". MacOS and Windows users: download the suitable files here. Aladin is compatible with Java releases from Java release 1.7 to the last one. More information here.
- TOPCAT: Download the topcat-full.jar file and execute it from a terminal using “java -jar topcat-full.jar” (Linux and Windows users. For windows users, double-click on the topcat-full.jar file may also work). MacOS users: download the suitable file here. TOPCAT is written in the Java language using the Java 2 Standard Edition version 8, and should run on any Java SE 8 or more recent system. See the documentation here.
- VOSA: Web server (you don't need to install anything). All participants must register in advance.
- STILTS: Download the stilts.jar file. MacOS users may need to install JDK to be able to run STILTS. See the documentation here.
- Jupyter Notebook: See the Jupyter Notebook webpage for details. In your Jupyter Notebook environment you need to have installed the following python libraries: