Advanced software programming for astrophysics and astroparticle physics

3 juin 2018, 19:30 → 8 juin 2018, 17:30 Europe/Paris

Auditorium (LAPP)

2nd ASTERICS-OBELICS International School

School Programme: the program of the school is devoted to project development for astrophysics & astroparticle. The aim of the school is to provide theoretical and hands-on training on Python development. Please find more information here.

Courses: the courses are available on Github as well as on Indico.

Communication: a Slack community for the school is available for communication between participants, to ask questions to tutors, to get out, etc.

Course duration : 4 June 2018 till 8 June 2018 (everyday from 9h00 till 18h00)

School venue : CNRS-LAPP, Annecy, France.

Accommodation Arrangements:  shared accommodation arrangements (with breakfast) have been made for the school participants at the Centre Jean 23 Guest House. Please find more information HERE.

First edition of the school : link.

Participants from the second edition (2018) of the ASTERICS-OBELICS International School

 

Who is organizing this school: LAPP is the organizing this school in association with OBELICS partners, PRACE. This international school is being organized in the framework of OBELICS  (Observatory E-environments LINked by common ChallengeS) work package of H2020-ASTERICS project.

 

What is H2020-ASTERICS: the Astronomy ESFRI and Research Infrastructure Cluster, ASTERICS, is a Research Infrastructure funded by the European Commission's Horizon 2020 framework. ASTERICS aims to address the cross-cutting synergies and common challenges shared by world class Astronomy ESFRI Facilities such as SKA, CTA, KM3NeT, LSST, LOFAR, EUCLID, EGO & ELT.               

For more information visit https://www.asterics2020.eu/

 

What is OBELICS: OBELICS stands for OBservatory E-environments LInked with common ChallengeS. OBELICS is one of the workpackages of H2020-ASTERICS. It aims at enabling interoperability and software re-use for the data generation, integration and analysis of the cluster of ESFRI and pathfinder facilities in Astronomy and Astroparticle Physics.

OBELICS Partner Institutes :

1. Laboratoire d'Annecy de physique des particules, France
2. Netherlands Institute for Radio Astronomy, Netherlands
3. The National Institute for Astrophysics, Italy
4. The National Institute for Nuclear Physics, Italy
5. University of Cambridge, UK
6. The Joint Institute for VLBI ERIC, Netherlands
7. The Institute of High Energy Physics, Spain
8. The French Alternative Energies and Atomic Energy Commission (CEA), France
9. The Complutense University of Madrid, Spain
10. Friedrich-Alexander University Erlangen-Nürnberg, Germany
11. The Center for particle physics of Marseilles, France
12. The Laboratoire interdisciplinaire Astroparticule Cosmologie, France
13. The Institut d'astrophysique de Paris, France

 

For more information visit: https://www.asterics2020.eu/obelics

About LAPP : Created in 1976, the LAPP is one of the 19 laboratories of the National Institute of Nuclear and Particle Physics (IN2P3). LAPP has about 150 researchers, professor, researchers, engineers, technicians, administrators, students and foreign visitors. The research carried out at the LAPP aims to study the physics of elementary particles and their fundamental interactions, as well as the exploration of the connections between the infinitely small and the infinitely large. LAPP is involved in LHC experiments with CERN (ATLAS, LHCb), neutrinos (STEREO,SuperNemo, Dune), astrophysics (HESS, CTA, AMS,LSST), Future colliders (ILC, CLIC) and gravitational waves (Virgo).

LAPP Website http://lapp.in2p3.fr/

LAPP Presentation video ( in English): https://youtu.be/Sk-xzDEiy7Q

LAPP Presentation video ( in French):  https://youtu.be/uPSXV4rAYPw

 

 

farewell.pdf

dimanche 3 juin

19:30 → 21:30 Social event: Welcome reception

haute savoie buffet.pdf

lundi 4 juin

08:00 → 09:00 Laptop preparation

08:00 → 09:00 Registration

09:00 → 09:15 Welcome from the LAPP director and WP3-OBELICS leader

Orateur: Giovanni LAMANNA (LAPP - IN2P3/CNRS)

Lamanna_welcome_ObelicsSchool.pdf

09:15 → 09:30 School & practical details

Orateurs: Jayesh WAGH (Programme Coordinator- OBELICS-ASTERICS), Vincent Poireau (LAPP)

OBELICS School18_intro.pdf

09:30 → 10:30 Efficient code design: Jupyter & IDE

Orateur: Dr Tammo Jan Dijkema

Notebook (see also on Github)

Presentation

10:30 → 11:00 Coffee break

11:00 → 12:30 Efficient code design: Git

Orateur: Maximilian Nöthe

Presentation

12:30 → 14:00 Lunch break

14:00 → 15:00 Efficient code design: good code practice

Presentation

15:00 → 16:00 Efficient code design (hands-on)

Orateurs: Dr Tammo Jan Dijkema, Zheng Meyer-Zhao

Notebook 2 (see also on Github)

Notebook (see also on Github)

16:00 → 16:30 Coffee break

16:30 → 18:30 Efficient code design (hands-on)

Orateur: Dr Tammo Jan Dijkema

Notebook (see also on Github)

mardi 5 juin

09:00 → 10:30 Python libraries: overview

Orateur: Tamas Gal

Python Libraries.pdf

10:30 → 11:00 Coffee break

11:00 → 12:30 Python libraries: Numpy

Orateur: Tamas Gal

Exercise notebook (see also on Github)

Nearest point notebook

Warm up notebook (see also on Github)

12:30 → 14:00 Lunch break

14:00 → 15:40 Python libraries: Matplotlib, Pandas

Orateur: Tamas Gal

Matplotlib notebook (see also on Github)

Pandas exercise notebook

Pandas warming up notebook

15:40 → 16:00 Matplotlib publication quality

Orateur: Maximilian Nöthe

Githib repository

16:00 → 16:30 Coffee break

16:30 → 18:30 Python libraries: Scipy (splitted hands-on)

Orateurs: Kai Bruegge, Maximilian Nöthe

Scipy notebook (see also on Github)

16:30 → 18:30 Python libraries: Scipy (splitted hands-on)

Orateurs: Kai Bruegge, Maximilian Nöthe

Scipy notebook (see also on Github)

19:30 → 22:30 Social event: dinner cruise on the lake

haute savoie buffet.pdf

mercredi 6 juin

09:00 → 10:30 Python libraries: PyVO

Orateur: Dr Hendrik Heinl

Course

Presentation

10:30 → 11:00 Coffee break

11:00 → 11:45 Python libraries: PyVO

Orateur: Dr Hendrik Heinl

11:45 → 12:30 Julia

Orateur: Tamas Gal

Julia.pdf

12:30 → 14:00 Lunch break

14:00 → 16:00 Efficient code design: debugging / profiling

Orateur: Christoph Deil (MPIK Heidelberg)

Debug notebook

Profile notebook

16:00 → 16:30 Coffee break

17:30 → 19:30 Social event: guided visit of old Annecy

haute savoie buffet.pdf

jeudi 7 juin

09:00 → 10:30 Python libraries: Astropy (splitted hands-on)

Orateurs: Axel Donath, Christoph Deil (MPIK Heidelberg)

Notebook (see also on Github)

09:00 → 10:30 Python libraries: Astropy (splitted hands-on)

Orateurs: Axel Donath, Christoph Deil (MPIK Heidelberg)

Notebook (see also on Github)

10:30 → 11:00 Coffee break

11:00 → 12:30 Python libraries: Astropy (splitted hands-on)

Orateurs: Axel Donath, Christoph Deil (MPIK Heidelberg)

Notebook (see also on Github)

11:00 → 12:30 Python libraries: Astropy (splitted hands-on)

Orateurs: Axel Donath, Christoph Deil (MPIK Heidelberg)

Notebook (see also on Github)

12:30 → 14:00 Lunch break

14:00 → 16:00 Machine learning

Orateur: Dr David Kirkby

Clustering

Data

Dimensionality

General content (start here)

Introduction

16:00 → 16:30 Coffee break

16:30 → 18:30 Machine learning (splitted hands-on)

Orateur: Dr David Kirkby

Hands-on (see also on Github)

16:30 → 18:30 Machine learning (splitted hands-on)

Orateur: Dr David Kirkby

Hands-on (see also on Github)

18:45 → 20:45 Social event: Haute-Savoie buffet

haute savoie buffet.pdf

vendredi 8 juin

09:00 → 10:30 Machine learning

Orateur: Dr David Kirkby

Neural network

Supervised learning

10:30 → 11:00 Coffee break

11:00 → 12:30 Machine learning (splitted hands-on)

Orateur: Dr David Kirkby

Hands-on (see also on Github)

11:00 → 12:30 Machine learning (splitted hands-on)

Orateur: Dr David Kirkby

Hands-on (see also on Github)

12:30 → 14:00 Lunch break

14:00 → 15:15 Keynote: Scientific Software: Art, Engineering, or Science?

Modern astronomy depends critically on software at every stage of the pipeline from the hardware through the analysis to the final interpretation. I will discuss the challenges involved in creating readable, reusable, reliable, efficient code to extract as much information as possible from enormous volumes of raw imaging data and make it available to scientific analyses in a way that doesn't require users to reprocess or even look at the images.

Orateur: Dr Robert Lupton

lupton.pdf

15:15 → 15:45 Coffee break

15:45 → 17:15 Machine learning

Orateur: Dr David Kirkby

Deep learning

17:15 → 17:30 Farewell