Advanced software programming for astrophysics and astroparticle physics
de
dimanche 3 juin 2018 (19:30)
à
vendredi 8 juin 2018 (17:30)
lundi 28 mai 2018
mardi 29 mai 2018
mercredi 30 mai 2018
jeudi 31 mai 2018
vendredi 1 juin 2018
samedi 2 juin 2018
dimanche 3 juin 2018
19:30
Welcome reception
Welcome reception
19:30 - 21:30
Room: Grande galerie
lundi 4 juin 2018
08:00
08:00 - 09:00
Room: Auditorium
08:00 - 09:00
Room: Auditorium
09:00
Welcome from the LAPP director and WP3-OBELICS leader
-
Giovanni LAMANNA
(
LAPP - IN2P3/CNRS
)
Welcome from the LAPP director and WP3-OBELICS leader
Giovanni LAMANNA
(
LAPP - IN2P3/CNRS
)
09:00 - 09:15
Room: Auditorium
09:15
School & practical details
-
Vincent Poireau
(
LAPP
)
Jayesh WAGH
(
Programme Coordinator- OBELICS-ASTERICS
)
School & practical details
Vincent Poireau
(
LAPP
)
Jayesh WAGH
(
Programme Coordinator- OBELICS-ASTERICS
)
09:15 - 09:30
Room: Auditorium
09:30
Efficient code design: Jupyter & IDE
-
Tammo Jan Dijkema
Efficient code design: Jupyter & IDE
Tammo Jan Dijkema
09:30 - 10:30
Room: Auditorium
10:30
Coffee break
Coffee break
10:30 - 11:00
Room: Grande galerie
11:00
Efficient code design: Git
-
Maximilian Nöthe
Efficient code design: Git
Maximilian Nöthe
11:00 - 12:30
Room: Auditorium
12:30
Lunch break
Lunch break
12:30 - 14:00
Room: CROUS
14:00
Efficient code design: good code practice
Efficient code design: good code practice
14:00 - 15:00
Room: Auditorium
15:00
Efficient code design (hands-on)
-
Zheng Meyer-Zhao
Tammo Jan Dijkema
Efficient code design (hands-on)
Zheng Meyer-Zhao
Tammo Jan Dijkema
15:00 - 16:00
Room: Auditorium
16:00
Coffee break
Coffee break
16:00 - 16:30
Room: Grande galerie
16:30
Efficient code design (hands-on)
-
Tammo Jan Dijkema
Efficient code design (hands-on)
Tammo Jan Dijkema
16:30 - 18:30
Room: Auditorium
mardi 5 juin 2018
09:00
Python libraries: overview
-
Tamas Gal
Python libraries: overview
Tamas Gal
09:00 - 10:30
Room: Auditorium
10:30
Coffee break
Coffee break
10:30 - 11:00
Room: Grande galerie
11:00
Python libraries: Numpy
-
Tamas Gal
Python libraries: Numpy
Tamas Gal
11:00 - 12:30
Room: Auditorium
12:30
Lunch break
Lunch break
12:30 - 14:00
Room: CROUS
14:00
Python libraries: Matplotlib, Pandas
-
Tamas Gal
Python libraries: Matplotlib, Pandas
Tamas Gal
14:00 - 15:40
Room: Auditorium
15:40
Matplotlib publication quality
-
Maximilian Nöthe
Matplotlib publication quality
Maximilian Nöthe
15:40 - 16:00
Room: Auditorium
16:00
Coffee break
Coffee break
16:00 - 16:30
Room: Grande galerie
16:30
Python libraries: Scipy (splitted hands-on)
-
Maximilian Nöthe
Kai Bruegge
Python libraries: Scipy (splitted hands-on)
Maximilian Nöthe
Kai Bruegge
16:30 - 18:30
Room: Sommets
Python libraries: Scipy (splitted hands-on)
-
Kai Bruegge
Maximilian Nöthe
Python libraries: Scipy (splitted hands-on)
Kai Bruegge
Maximilian Nöthe
16:30 - 18:30
Room: Auditorium
19:30
dinner cruise on the lake
dinner cruise on the lake
19:30 - 22:30
mercredi 6 juin 2018
09:00
Python libraries: PyVO
-
Hendrik Heinl
Python libraries: PyVO
Hendrik Heinl
09:00 - 10:30
Room: Auditorium
10:30
Coffee break
Coffee break
10:30 - 11:00
Room: Grande galerie
11:00
Python libraries: PyVO
-
Hendrik Heinl
Python libraries: PyVO
Hendrik Heinl
11:00 - 11:45
Room: Auditorium
11:45
Julia
-
Tamas Gal
Julia
Tamas Gal
11:45 - 12:30
Room: Auditorium
12:30
Lunch break
Lunch break
12:30 - 14:00
Room: CROUS
14:00
Efficient code design: debugging / profiling
-
Christoph Deil
(
MPIK Heidelberg
)
Efficient code design: debugging / profiling
Christoph Deil
(
MPIK Heidelberg
)
14:00 - 16:00
Room: Auditorium
16:00
Coffee break
Coffee break
16:00 - 16:30
Room: Grande galerie
17:30
guided visit of old Annecy
guided visit of old Annecy
17:30 - 19:30
jeudi 7 juin 2018
09:00
Python libraries: Astropy (splitted hands-on)
-
Axel Donath
Christoph Deil
(
MPIK Heidelberg
)
Python libraries: Astropy (splitted hands-on)
Axel Donath
Christoph Deil
(
MPIK Heidelberg
)
09:00 - 10:30
Room: Auditorium
Python libraries: Astropy (splitted hands-on)
-
Christoph Deil
(
MPIK Heidelberg
)
Axel Donath
Python libraries: Astropy (splitted hands-on)
Christoph Deil
(
MPIK Heidelberg
)
Axel Donath
09:00 - 10:30
Room: Sommets
10:30
Coffee break
Coffee break
10:30 - 11:00
Room: Grande galerie
11:00
Python libraries: Astropy (splitted hands-on)
-
Christoph Deil
(
MPIK Heidelberg
)
Axel Donath
Python libraries: Astropy (splitted hands-on)
Christoph Deil
(
MPIK Heidelberg
)
Axel Donath
11:00 - 12:30
Room: Sommets
Python libraries: Astropy (splitted hands-on)
-
Christoph Deil
(
MPIK Heidelberg
)
Axel Donath
Python libraries: Astropy (splitted hands-on)
Christoph Deil
(
MPIK Heidelberg
)
Axel Donath
11:00 - 12:30
Room: Auditorium
12:30
Lunch break
Lunch break
12:30 - 14:00
Room: CROUS
14:00
Machine learning
-
David Kirkby
Machine learning
David Kirkby
14:00 - 16:00
Room: Auditorium
16:00
Coffee break
Coffee break
16:00 - 16:30
Room: Grande galerie
16:30
Machine learning (splitted hands-on)
-
David Kirkby
Machine learning (splitted hands-on)
David Kirkby
16:30 - 18:30
Room: Sommets
Machine learning (splitted hands-on)
-
David Kirkby
Machine learning (splitted hands-on)
David Kirkby
16:30 - 18:30
Room: Auditorium
18:45
Haute-Savoie buffet
Haute-Savoie buffet
18:45 - 20:45
Room: Grande galerie
vendredi 8 juin 2018
09:00
Machine learning
-
David Kirkby
Machine learning
David Kirkby
09:00 - 10:30
Room: Auditorium
10:30
Coffee break
Coffee break
10:30 - 11:00
Room: Grande galerie
11:00
Machine learning (splitted hands-on)
-
David Kirkby
Machine learning (splitted hands-on)
David Kirkby
11:00 - 12:30
Room: Sommets
Machine learning (splitted hands-on)
-
David Kirkby
Machine learning (splitted hands-on)
David Kirkby
11:00 - 12:30
Room: Auditorium
12:30
Lunch break
Lunch break
12:30 - 14:00
Room: CROUS
14:00
Keynote: Scientific Software: Art, Engineering, or Science?
-
Robert Lupton
Keynote: Scientific Software: Art, Engineering, or Science?
Robert Lupton
14:00 - 15:15
Room: Auditorium
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.
15:15
Coffee break
Coffee break
15:15 - 15:45
Room: Grande galerie
15:45
Machine learning
-
David Kirkby
Machine learning
David Kirkby
15:45 - 17:15
Room: Auditorium
17:15
Farewell
Farewell
17:15 - 17:30
Room: Auditorium