27–28 Jan 2025
Geographisches Institut, Universität Bern
Europe/Zurich timezone

SKA Data Challenge 3b: Inference

27 Jan 2025, 11:05
20m
Hörsaal 001 (ground floor) (Geographisches Institut, Universität Bern)

Hörsaal 001 (ground floor)

Geographisches Institut, Universität Bern

Hallerstrasse 12, 3012 Bern
SKA Data Science Challenge HPC

Speaker

Michele Bianco (ETH Zurich)

Description

The SKA Data Challenge 3 is divided into two related yet independent challenges: ' Foreground' and 'Inference,' or SDC3a and SDC3b, respectively. The former challenge ended last year, and the SKACH team participated, obtaining remarkable results. As a continuation of this effort, the SKACH team, in collaboration with the Science working group from Sweden, is participating in the second part (SDC3b), which asks participants to infer the cosmological and astrophysical reionization properties from the power spectra of the hydrogen-21cm signal from the Epoch of Reionisation corresponding to different redshift ranges.

These challenges are designed to enable the community's future efforts in addressing scientific questions pertinent to the Epoch of Reionisation while utilizing the SKA-Low telescope.

In this presentation, I will illustrate the challenge goal and the SKACH team's current result, which comprises standard inference techniques and machine learning approaches.

Primary author

Michele Bianco (ETH Zurich)

Co-authors

Chris Finlay (UNIGE) Davide Piras (University of Geneva) Dr Philipp Denzel (Centre for Artificial Intelligence, ZHAW) Sambit Giri (Stockholm University)

Presentation materials

There are no materials yet.