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Automatic Learning for the Rapid Classification of Events (ALeRCE) (alercebroker)

Automatic Learning for the Rapid Classification of Events (ALeRCE)

alercebroker

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ALeRCE is an astronomical broker designed to characterize and classify astronomical alert streams generated by large etendue astronomical surveys.

Home Page:http://alerce.science/

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Automatic Learning for the Rapid Classification of Events (ALeRCE)'s repositories

usecases

Collection of notebooks and scripts with science use cases

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lc_classifier

Alert Classification for the ALeRCE Broker System: The Light Curve Classifier

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alerce_client

🐍 ALeRCE Python Client

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ztf_explorer

🌚 🔭 💻 ZTF Explorer for the ALeRCE broker

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APF

apf is a framework developed to create a dockerized pipeline to process an alert stream, that can be easily be deployed in a local machine or distributed using Kubernetes.

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db-plugins

Database plugins for using with ALeRCE databases

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component-library-old

Frontend vue components library

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mhps

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P4J

Periodic time series analysis tools based on information theory

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pipeline

ALeRCE Pipeline Monorepo

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sn_hunter

ZTF SN Hunter webpage

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TNS_upload

Tools to upload young SN candidates to TNS

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turbo-fats

Based on https://github.com/isadoranun/FATS

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web-services

API to query internal and external data.

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alerce-scribe

ALeRCE CQRS eventual consistency engine

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atlas_realtime

repo to create the real-time version of the atlas stream

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batch_processing

Repository for all related to batch processing of historic data

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feature_step

APF Step for feature Computer Step

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ingestion_step

To save generic alerts

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kubernetes_pipeline

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lightcurve-step

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magstats_step

Magstats calculation step

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minimal_astroide

A pyspark wrapper to a simplified version of Astroide to perform crossmatch between massive catalogs.

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multiscale_stamps

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prv_candidates_step

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ralidator-core

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ralidator-fastapi

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stamp_classifier_step

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Watchlist-Frontend

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xmatch_step

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