Software packages, datasets and presentations

Participants are expected to bring their own laptops, equipped with CASA pre-installed.

Softwar​e packa​ges


The Common Astronomy Software Applications (CASA) package can be downloaded from NRAO:​​​
Please download and install CASA Release 5.6.0 on you laptop computer.
You can find the CASA Cookbook together with other useful documentation here:

Datas​ets, scripts, presentations, etc.

L1+L2 Introduction to interferometry:
Please also download this mp3 file​ to your smartphone or mp3 player, and bring it together with headphones to the lecture. (Not mandatory, but it will be used for a little interferometry experiment at the beginning of L1).

T1 Fun with interferometers:
Presentation (added 2019-10-07)

T2 Introduction to writing a proposal:
Presentation (added 2019-10-07)

L3+T3 Getting started with real data, interactive:
This session will introduce the general form of a radio observation (scans, fields, spectral windows, etc). We will do some plotting, flagging, work with the Measurement Set browser, and briefly introduce TaQL.
The session will use the data from the Calibration session (L5+T4) below.

L4 Millimetre/low frequency interferometry: differences and similarities:
Presentation (Piétu)

L5+T4 Calibration, interactive:
Data and script​
Open 3C277.1_cal2019.html in a browser in the HTML directory. This then gives links to the data and script.​
Presentation​ (updated evening 2019-10-07)​

L6+T5 Introduction to imaging, interactive:
Presentation​ (added 2019-10-09)
The data and scripts for the imaging tutorial can be downloaded from this DARA tutorial​.
Please download the data set labeled as 3C277.1 data (pt2 only) (464MB).

L7+T6 Proposals and observing planning, interactive:

T7 Self-calibration:
Download the data set and scripts​ and unpack into a separate directory.

L8 Polarisation:

L9 Spectral line interferometry:

L10+T8 ​Very long baseline interferometry, interactive:
The data for each part should be stored in their own directory and unpacked.
- The DARA EVN continuum tutorial: download part 1. 
- Fringe-fitting and bandpass calibration: presentation​
- Very Long Baseline Interferometry: presentation​ (244 MB; added 2019-10-08)
Data and scripts (1.3 GB), final version of presentation: T8_tutorial_part_3.pdf​.

T9A Advanced tutorial Metre/wide-field (LOFAR):
The ERIS school will provide access to computing resources for those doing the LOFAR tutorial. You will need a laptop with a web browser (e.g., a reasonably recent version of Firefox or Chrome).

T9B Advanced tutorial Centimetre/polarisation:
Presentation (added 2019-10-09)
Script​ (added 2019-10-09)
3C277.1 data (628 MB; added 2019-10-07)

T9C Advanced tutorial Centimetre/VLBI:
1. The large (1.7 Gb) dataset from the DARA spectral line tutorial, unpacked as instructed in the first lines of the tutorial. For this tutorial the participants will need to make sure that their laptop has ~10 Gb of free disk space.​
2. Download the file ea054_t9c_small.tar.gz​. (5.7 GB, but 25 GB when unpacked, needs at least that much again to do the processing​)

T9D Advanced tutorial Millimetre/spectral line (ALMA/NOEMA):
This tutorial will consist of three parts. You can find the corresponding presentations at:
You will need the following files:
T9D_TW_Hya_corrected.tgz (ONLY needed if you don't finish the first part of the tutorial; ~1.4GB)
The following link directs you to large ALMA example datasets (~100GB). You do NOT need to download these large files to follow the tutorial. We provide the links here ​only for those interested in retrieving the complete dataset (including all products): 

T9E Advanced tutorial mm/VLBI:
2. Data and scripts​ (1.9 GB)
3. Installation instructions: rPICARD_install_notes.txt
Note: The rPICARD software used during this tutorial requires a special CASA version with advanced VLBI tools. When using Linux or a virtual environment, multiple CASA versions can be installed at the same time. The CASA 5.6.0 version can be kept as the default CASA version when its casa executable is added to your PATH. Windows and MacOS users can use the docker image or virtual machines provided by the Onsala Space Observatory. 

L11 Useful Python tools:
This lecture will introduce a selection of tools and Python modules that can be useful in radio astronomy.

T10 Proposal presentations:


Published: Thu 14 Nov 2019.