With the emergence of large telescopes and astronomy cameras, the community of astronomers requires the implementation of a new generation of astronomy brokers, which are systems that serve as intermediaries between large survey telescopes, those that monitor the sky searching for new astrophysical events, and follow-up telescopes, those that observe interesting events to characterize them and understand their physical properties. Currently, these telescopes can produce up to 1 million events per night and are expected to reach up to 10 million events per night in the upcoming years. These events must be distributed among the community through the transmission of data streams so they may be captured, annotated and classified by astronomy brokers.
ALeRCE is one of the first astronomy brokers in the world and the first to publicly provide the classification of astronomical alerts generated by the Zwicky Transient Facility (ZTF), located in California. ALeRCE offers multiple services to the community of astronomers, including the intake of ZTF data streams to classify events based on the first alerts associated to them (early classifier) and another one based on the temporal evolution of all alerts associated to an event (late classifier), using machine learning techniques in both cases.
ALeRCE allows automatic communication between its databases and survey telescopes through API, and it also offers different public web interfaces for searching new supernova candidates (snhunter.alerce.online), or for exploring all of the time series and their classifications (alerce.online), among other services.
The original content of this case is from Oxford Initiative on AI×SDGs (2018-2022) which was a research project at the University of Oxford, directed by Prof. Luciano Floridi and Prof. Mariarosaria Taddeo. Its goal was to determine how artificial intelligence (AI) has been and can be used to support and advance the United Nations Sustainable Development Goals (SDGs). One of the deliverables was a curated, open, and fully searchable collection of international projects that use AI to support one or more of the SDGs. The content of that collection is now hosted here. We thank Prof. Floridi, Prof. Taddeo and their research team for the collaboration. Descriptions and functionalities have been extended to adapt the original content to the AI for SDGs Think Tank Observatory.
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