[ASA] Astronomy Data And Computing Services (ADACS) - November Training Events

[Rebecca Lange]

Dear Colleagues,

ADACS is pleased to announce 2 training events this November.
The first is a 3-day hands-on on Introduction to computing and data science for astronomers held 13 to 15 November at Curtin University, Perth. The second is a 3-day workshop on Introduction to high performance computing (HPC) for astronomers held 27 to 29 November at Swinburne University, Melbourne.
Both workshops are open for registration now, further details on each workshop can be found below.

I would also like to use this opportunity to remind you that the challenge submissions for the 2017 Sky Mining Hackathon close on Monday 16 October.
Suggested challenges could include generating solutions to existing algorithms that are non-optimal, inefficient, or non-scalable, data visualisation challenges, or even a project you wanted to start but are not sure how. The following is an example suggested by Dr. Paul Hancock involving efficient catalogue cross-matching:
Variations in the brightness of objects in the sky over time can be the result of a range of exciting astronomical phenomena – from exploding stars to black holes. Identification of these events from their light curves means that we need to first form these light curves by joining many catalogues. This joining, or cross-matching, process presents a number of challenges – uncertainties in position, source confusion, missing data, and weird shaped sources. We currently have a few methods that work OK when the catalogues are very well behaved, but which are either very slow, or make many errors. Creating an effective, efficient, and scalable solution would greatly assist in the ongoing research into these objects. An ideal solution would be something that could run within a database and updated as new catalogues are added, but even a standalone script would be of great benefit.
For more details visit: https://protect-au.mimecast.com/s/z4nRBmU61W7OHD?domain=adacs.org.au<https://protect-au.mimecast.com/s/z4nRBmU61W7OHD?domain=adacs.org.au>

All workshops and events in this email are sponsored by the Astronomy Data and Computing Services (ADACS) initiative. ADACS is funded under the Astronomy National Collaborative Research Infrastructure Strategy (NCRIS) Program via Astronomy Australia Ltd (AAL).

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ADACS - Introduction to computing and data science for astronomers

In the era of big telescopes and big data, data analysis practices need to scale to the volume of data processing and analysis needed for researchers to compete in a world-class arena.
This 3-day workshop is aimed at postgraduate students and ECRs who might not have had formal computational training and would like to get up to speed. Practical examples in the workshop are taken from observational astronomy, however, participation is open to all Australian-based astronomers.

Day 1 - Introduction to computing best practices in Python
Day 2 - Data science for astronomers
Day 3 - Advanced topics

For more information please visit the workshop webpage<https://protect-au.mimecast.com/s/rNKaBYflLVNoFa?domain=adacs.org.au> or contact Rebecca Lange<mailto:rebecca.lange at curtin.edu.au>.

Where: Curtin University, Building 407:Room 307, Bentley Campus, Perth, Western Australia.

When: 13-15 November 2017, 9am-5pm

Registration is free, please visit <https://protect-au.mimecast.com/s/ZXg4BxU6naz9Hn?domain=eventbrite.com.au> Eventbrite<https://protect-au.mimecast.com/s/ZXg4BxU6naz9Hn?domain=eventbrite.com.au> to RSVP.

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ADACS - Introduction to high performance computing (HPC) for astronomers

The size and complexity of astronomical data continue to grow swiftly, and while this presents great opportunities it also poses challenges to traditional methods of data storage, reduction, and analysis. To assist astronomers in addressing these challenges, we are presenting a 3-day workshop introducing the fundamentals of HPC and some of the skills necessary to effectively utilise its power. During the final session, there will also be a clinic held by representatives from Pawsey, Swinburne, and NCI, where you can discuss one-on-one how to port your applications and workflow to HPC resources.

Day 1 - Introduction to parallel computing & Shared Memory Computing
Day 2 - Distributed memory computing
Day 3 - HPC input/output & drop-in clinic

For more information please visit the workshop webpage<https://protect-au.mimecast.com/s/m4kKB9UweldVSR?domain=adacs.org.au> or contact Lachlan Campbell<mailto:lcampbell at pawsey.org.au>.
Where: Swinburne University of Technology, Hawthorn, Melbourne, Victoria.
When: 27-29 November 2017, 9am-5pm
Registration is free, please visit Eventbrite<https://protect-au.mimecast.com/s/krZGBXuqVeb2SM?domain=eventbrite.com.au> to RSVP.


All the best,
Dr Rebecca Lange
Data Scientist | Curtin Institute for Computation (CIC)
Computational Training | Astronomy Data and Computing Services (ADACS)

Curtin University
PO Box U1987
Perth, WA 6845
Tel  +61 8 9266 2074
Email   rebecca.lange at curtin.edu.au <mailto:rebecca.lange at curtin.edu.au>
Web   http://computation.curtin.edu.au/
  https://protect-au.mimecast.com/s/pLG0B1fgKLnmSO?domain=adacs.org.au
Twitter  @CurtinIC<https://protect-au.mimecast.com/s/Ld1wBKUzv4o5hN?domain=twitter.com>
  @AdacsAus<https://protect-au.mimecast.com/s/GN1YBofmGglLHZ?domain=twitter.com>




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