This year's school will offer the following data-focused projects. The projects will be assigned randomly at the beginning of the school.

 

Title: Studying extended outflows in AGN and quasars using VLT/MUSE and VLT/SINFONI

Instructor: Jens-Kristian Krogager (CRAL, Lyon, France)

Short description:

The goal of the project is to study the ionization of extended outflow structures observed in a nearby galaxy hosting an active galactic nucleus observed with VLT/MUSE. We will look at emission line ratios (BPT diagram) and kinematics. In the second part of the project we will attempt to identify a similar outflow in a high-redshift quasar using data from VLT/SINFONI.

Requirements: Python, QFitsView, model fitting, DS9

 

Title: Identifying strongly lensed galaxy candidates from MUSE/VLT observations

Instructor: Johan Richard (CRAL, Lyon, France)

Short description:

The goal of the project is to search for line emitters in MUSE observations of massive galaxy clusters and identify pairs of multiple images which could originate from the same source. We will then use the most convincing candidates to model the mass distribution of the cluster with a very simplified mass model.

Requirements: Python,  Fits viewer (DS9 SAOImage or QFitsView), (optional) Topcat

 

Title: Measuring Bar Pattern Speed using IFU observation  

Instructor: Kanak Saha (IUCAA, India)

Short description: 

A large fraction of spiral galaxies including our Milky Way host a stellar bar at their central region. These bars are known to rotate with a fixed pattern speed. However, direct measurement of their pattern speed remains a challenging problem, despite IFU observations being available for many such galaxies. This project aims at measuring bar pattern speed utilizing the well-known Tremaine-Weinberg method.

Requirements: Python coding; Photutils package, DS9 SAOImage

 

Title: Kinematic properties of ionised gas and stars in spiral galaxies

Instructor: Christian Herenz (IUCAA, India)

Short description: