
Automatic Learning for the Rapid Classification of Events
The ALeRCE broker is a Chilean-led broker which is processing the alert stream from the Zwicky Transient Facility (ZTF) and which aims to become a Community Broker for the Vera C. Rubin Observatory and its Legacy Survey of Space and Time (LSST), as well as other large etendue survey telescopes. We are using Cloud Infrastructure and Machine Learning models to bring real-time processed products and services to the astronomical community.
Our main data products can be accessed via the ALeRCE ZTF explorer (explore objects), the SN Hunter (catch young supernovae), the ALeRCE watchlist (get notifications from a list of given coordinates), our Python library or client (simplified queries to our API), our API (simplified queries to our DB), or via direct DB access (vía PostgreSQL, see notebook examples). More services can be explored here. We have also prepared several different Jupyter notebooks with examples centered around different scientific use cases (SNe, AGN, variable stars, Solar System), explained in these workshops. An overview of our processing pipeline and a detailed explanation of all the features used for classification are available.
Our Products and Services
We have many Web Applications, APIs and other products

ZTF Explorer
Explore the ZTF objects with aggregated statistics, access lightcurve, stamps, and classification from our algorithms.

SN Hunter
Access the latest Supernovae classified objects captured from ZTF

ALeRCE client
The ALeRCE client is a library to interact programmatically with the ALeRCE API.