Community Research and Development Information Service - CORDIS

2nd ASTERICS – OBELICS International School - Coaching astronomy, astrophysics programmers

Contributed by: Trust-IT Services

From 3rd to 8th June 2018, more than 60 experts from all around Europe and beyond gathered at CNRS-LAPP in Annecy, France to attend the 2nd ASTERICS – OBELICS International School, organised by the French CNRS LAPP laboratory in association with OBELICS partners.

This international school was shaped by past experiences gained during last year’s edition, creating a more exciting and powerful event that gathered masters and PhD students, postdocs as well as senior researchers from across Europe.
2nd ASTERICS – OBELICS International School - Coaching astronomy, astrophysics programmers
From 3rd to 8th June 2018, more than 60 experts from all around Europe and beyond gathered at CNRS-LAPP in Annecy, France to attend the 2nd ASTERICS – OBELICS International School, organised by the French CNRS LAPP laboratory in association with OBELICS partners.

This international school was shaped by past experiences gained during last year’s edition, creating a more exciting and powerful event that gathered masters and PhD students, postdocs as well as senior researchers from across Europe - from Sweden to Spain, Italy, Germany and Austria, the UK and the Netherlands. International visibility was ensured by attendees from Kenya and Morocco.

Traditional methods to model and analyse the large volume of complex data sets or big data generated from astronomy ESFRI projects such as CTA, SKA, KM3NeT, etc. have to be replaced with more advanced and powerful techniques such as Machine Learning. Machine Learning is yet to be adopted by the astronomy community and hence it is important to introduce and train the researchers on these new techniques and understand their advantages over traditional methods.

Considering this well-identified need of the hour from the astronomy and astrophysics community, a five-day school was organised providing attendees with both theoretical and hands-on training on python, machine learning and efficient code design specifically tailored to astrophysics and astroparticles topics.

Amongst the participants the school gathered PhD students, postdocs and senior researchers with different backgrounds, offering a really stimulating dialogue between them and their tutors:
“The level of interaction with the school participants is very distinct: I really liked the fact that I could talk to beginners and help them solve their basic problems but also confront with experts to get inputs on many other advanced issues.” Tamas Gal, PhD Student in Physics at the Erlangen Centre for Astroparticle Physics (ECAP)

The high expertise of the tutors, together with the good interaction between theoretical and hands-on training sessions, was a fundamental element for the participants and really contributed to the success of the school:
“Unlike previous Python schools I attended, this one was really scientifically-driven and meant for scientists. I did not know Python before starting my PhD and I definitely think this school helped me in better defining how should I re-organise my code and implement good practices.” Marc Arene, PhD Student at Laboratoire Astroparticule et Cosmologie, France

“I learned about this school on Social Media and I was really happy to find it because astronomy is new to Africa and here I had the possibility to acquire computing skills that are not taught in classes in Africa, so you can only acquire them by coming to these schools.” Amos Chepkwony bachelor in Physics at University of Nairobi, Kenya

But it doesn’t stop here. The school gave participants excellent networking opportunities with the chance to have a direct and long-lasting connection with the tutors, not only during the 5 days of the school but beyond them:
“I found the Slack channel that was set up by the organisers to be an extraordinary way to keep in contact with the tutors: if I find any questions or problems in the future I can contact the tutors immediately and I know I will get a quick response.” Mohanraj Senniappan from Linnaeus University, Sweden

The event was not just talks and workshops. Four social events were organised over the 5 days of the school, starting with the welcome reception on the first day followed by social dinners and a guided tour of the enchanting city of Annecy where the school was held.

Contributor

Organisation

    Trust-IT Services
    Italy

Related information

Keywords

astrophysics, astronomy, python, datascience, ESFRI, machine learning
Follow us on: RSS Facebook Twitter YouTube Managed by the EU Publications Office Top