Check out the links and relevant resources at the bottom of this page
Zoom link for all lectures; pcode 621932
Part I
The following lectures will take place via zoom.
Fri. 05.4
16–16:15 Format and plan of this course; R. Kotak
16:15–17:15 Overview of ground-based facilities; P. Väisänen
17:15–18:00 ESO data reduction pipeline overview; R. Kotak
Mon. 08.4
16–18: Lecture 1; “4MOST overview” A. Finoguenov
Tue. 09.4
16–17: Lecture 1: ALMA ARC / Carmen Toribio
Lecture1_notes
Exercises
Wed. 10.4
16–18: exercises AF
Thurs. 11.4
16–17: Lecture 2: ALMA ARC / Carmen Toribio
Lecture2_notes
Exercises
Mon. 15.4
16–18: Lecture 2; “4MOST operational system” A. Finoguenov
Tue. 16.4
16–18: exercises AF
Wed. 17.4
16–18: Basics of scientific writing
Assignment
Thurs. 18.4
16-18: Introduction to integral field spectrographs, J. Hartke
Lecture notes
Fri. 19.4
16–18: Introduction to VLT / XShooter V. Neustroev
Lecture notes
Mon. 22.4
16–18: Lecture 3; “4MOST CHANCES survey” A. Finoguenov Cancelled
Tue. 23.4
16-18: Intro. to VST data; M. Poulain
Lecture notes
Wed. 24.4
16–18: exercises AF
Part II Hands-on workshop (2 days) May 6-7
Monday 6th: Quantum / Room XVIII Booked from 9-16h
10-12: Exploring MUSE datacubes; Hanin Kuncarayakti, Johanna Hartke
13–(16h): Extracting diagnostics from ALMA data (Carmen Torriba / Talvikki Hovatta)
Tuesday 7th: Quantum / Room 109 Booked from 09-16h
9:30–12: Using VST data; Mélina Poulain
13–(16): Time for residual questions / continue working on datasets
There are 5 assessed assignments for this course, these are listed below. Please make sure you follow the following guidelines regarding format: 1) submit pdf files (only) 2) the file name should be your_surname_ assignment name.pdf
For the 2 ALMA exercises, submit by 27th April to rubina.kotak_at_utu.fi (2 pdf files). These will not be formally assessed, but you should complete them prior to assignment that will be set during the May workshop.
Material for ALMA assignment
This folder contains all the material you need for the ALMA assignment. Part 1 (see pdf file) will be covered during the hands-on session in May. Parts 2 and 3 form part of the assessed assignment.
This tutorial requires downloading some data and Jupyter notebooks, as well as the installation
of CARTA. All data and notebooks can be downloaded from the folder linked above, which includes
text files with instructions to run the Jupyter Notebooks and installation instructions for CARTA
and python CASA python modules
For all other assignments, the deadline is 16h on Friday 31.5.24.
Please send your pdf files to the person indicated above.