Square Kilometre Array Science Data Challenge 3a: foreground removal for an EoR experiment
| dc.contributor.author | Bonaldi, Anna | |
| dc.contributor.author | Hartley, Philippa | |
| dc.contributor.author | Braun, Robert | |
| dc.contributor.author | Purser, Simon | |
| dc.contributor.author | Acharya, Anshuman | |
| dc.contributor.author | Ahn, Kyungjin | |
| dc.contributor.author | Aparicio Resco, Miguel | |
| dc.contributor.author | Bait, Omkar | |
| dc.contributor.author | Bianco, Michele | |
| dc.contributor.author | López Caniego, Marcos | |
| dc.contributor.author | López-Caniego Alcarria, Marcos | |
| dc.date.accessioned | 2025-10-07T15:41:08Z | |
| dc.date.available | 2025-10-07T15:41:08Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | We present and analyse the results of the Science Data Challenge 3a (SDC3a, https://sdc3.skao.int/challenges/foregrounds), an epoch of reionization (EoR) foreground removal exercise organized by the Square Kilometre Array Observatory (SKAO) on SKA simulated data. The challenge ran for 8 months, from 2023 March to October. Participants were provided with realistic simulations of SKA-Low data between 106 and 196 MHz, including foreground contamination from extragalactic and Galactic emission, instrumental, and systematic effects. The challenge results provide a means for all teams to understand and improve their performance. This challenge indicates that the comparison between independent pipelines could be a powerful tool to assess residual biases and improve error estimation. | |
| dc.description.filiation | UEM | spa |
| dc.description.impact | 4.8 Q1 JCR 2024 | |
| dc.description.impact | 1.702 Q1 SJR 2024 | |
| dc.description.impact | No data IDR 2023 | |
| dc.description.sponsorship | Ver financiación en https://doi.org/10.1093/mnras/staf1466 | |
| dc.identifier.citation | Bonaldi, A., Hartley, P., Braun, R., Purser, S., Acharya, A., Ahn, K., Aparicio Resco, M., Bait, O., Bianco, M., Chakraborty, A., Chapman, E., Chatterjee, S., Chege, K., Chen, H., Chen, X., Chen, Z., Conaboy, L., Cruz, M., Darriba, L., … Zhou, X. (2025). Square Kilometre Array Science Data Challenge 3a: Foreground removal for an EoR experiment. Monthly Notices of the Royal Astronomical Society, 543(2), 1092-1119. https://doi.org/10.1093/mnras/staf1466 | |
| dc.identifier.doi | 10.1093/mnras/staf1466 | |
| dc.identifier.issn | 0035-8711 | |
| dc.identifier.uri | https://hdl.handle.net/11268/16362 | |
| dc.language.iso | eng | |
| dc.peerreviewed | Si | |
| dc.relation.publisherversion | https://doi.org/10.1093/mnras/staf1466 | |
| dc.rights | Attribution 4.0 International | en |
| dc.rights.accessRights | open access | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.sdg | Goal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovation | |
| dc.subject.sdg | Goal 13: Take urgent action to combat climate change and its impacts | |
| dc.subject.sdg | Goal 17: Partnerships | |
| dc.subject.unesco | Ciencias del espacio | |
| dc.subject.unesco | Análisis de datos | |
| dc.subject.unesco | Inteligencia artificial | |
| dc.title | Square Kilometre Array Science Data Challenge 3a: foreground removal for an EoR experiment | |
| dc.type | journal article | |
| dc.type.hasVersion | VoR | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | fa6665ca-4b4c-41a7-8758-1b94f450a762 | |
| relation.isAuthorOfPublication.latestForDiscovery | fa6665ca-4b4c-41a7-8758-1b94f450a762 |
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