Conference Programme

Tuesday 8th of October 2019

Session 4a. Data science challenges: tools from statistics to machine learning

Start Time: 09:00 | Room: Plenary Theatre | Chair: Peter Teuben

09:00 - 09:30
Invited talk (I4.1)
Daniela Huppenkothen
Data Science Challenges in Time Domain Astronomy: Building Methods, Tools and Communities
09:30 - 09:45
Oral Contribution (O4.2)
Yanxia Zhang
Photometric Redshift Estimation of Quasars by Machine Learning
09:45 - 10:00
Oral Contribution (O4.3)
Sweta Singh
Scientific Visualisation of Extremely Large Distributed Astronomical Surveys

Session 4b. Data science challenges: tools from statistics to machine learning

Start Time: 11:00 | Room: Plenary Theatre | Chair: Peter Teuben

11:00 - 11:15
Oral Contribution (O4.4)
Shraddha Surana
Machine Learning for Scientific Discovery
11:15 - 11:30
Oral Contribution (O4.5)
Antonia Rowlinson
Identifying transient and variable sources in radio images

Session 5a. Data visualisation from line plots to augmented & virtual reality

Start Time: 11:30 | Room: Plenary Theatre | Chair: Brian Kent

11:30 - 12:00
Invited talk (I5.1)
Jacqueline Faherty
Visualizing a billion stars
12:00 - 12:15
Oral Contribution (O5.2)
Bruce Berriman
Creating High Quality All-Sky Visualizations of Astronomy Image Data Sets: HiPS and Montage

Lightning Session 2

Start Time: 12:15 | Room: Plenary Theatre | Chair: Brian Kent

12:15 - 12:18
L.6
James Nightingale
(P3.7) PyAutoFit: An Open-Source Framework for Automated Bayesian Inference
12:18 - 12:21
L.7
Amanda Ibsen
(P3.10) Prompt detection of super-luminous supernovae with deep learning
12:21 - 12:24
L.8
Venustiano Soancatl Aguilar
(P4.9) Visualising Virtual Observatory Data in Digital Planetaria
12:24 - 12:27
L.9
Fred Lahuis
(P3.16)The Horizon-2020 ExoplANETS_A project: advancing the field of exoplanet science
12:27 - 12:30
L.10
J. B. Raymond Oonk
(P6.1) Pioneering the Exascale era with Astronomy
12:30 - 14:00
Lunch break

Session 5b. Data visualisation from line plots to augmented & virtual reality

Start Time: 14:00 | Room: Plenary Theatre | Chair: Brian Kent

14:00 - 14:15
Oral Contribution (O5.3)
Harro Verkouter
jiveplot: Inspecting large volumes of raw radio data made easy
14:15 - 14:30
Oral Contribution (O5.4)
William Roby
Firefly and Python- new ways to visualize data on the web
14:30 - 14:45
Oral Contribution (O5.5)
Lucia Marchetti
The Data2Dome Initiative at the Iziko Planetarium in Cape Town and the IDIA Visualisation Lab
14:45 - 15:00
Oral Contribution (O5.6)
Tatiana Goldina
Integrating Plotly charts into Firefly visualization system

Session 6. Local and global cloud infrastructure for processing and storage

Start Time: 16:00 | Room: Plenary Theatre | Chair: Francesco Pierfederici

16:00 - 16:30
Invited talk (I6.1)
Christine Banek
Why is the LSST Science Platform built on Kubernetes?
16:30 - 16:45
Oral Contribution (O6.2)
Vicente Navarro
Multi Mission Science Exploitation and Preservation Platform
16:45 - 17:00
Oral Contribution (O6.3)
Rees Williams
The Euclid Archive Processing and Data Distribution Systems: a distributed infrastructure for Euclid and associated data

Birds of a Feather (B.4)

Start Time: 17:20 | Room: Plenary Theatre

17:20 - 18:20
Vanessa Moss
Forming a global network for communication between astronomical observatories