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Intermediate Palomar Transient Factory: Realtime Image Subtraction Pipeline

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arxiv 1608.01006 v1 pith:APHX5W43 submitted 2016-08-02 astro-ph.IM

Yi Cao , Peter E Nugent , Mansi M Kasliwal This is my paper
classification astro-ph.IM
keywords pipelinedatarealtimetransientcomputingfactoryimageintermediate
verification ladder T0 review T1 audit T2 compute T3 formal
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A fast-turnaround pipeline for realtime data reduction plays an essential role in discovering and permitting follow-up observations to young supernovae and fast-evolving transients in modern time-domain surveys. In this paper, we present the realtime image subtraction pipeline in the intermediate Palomar Transient Factory. By using high-performance computing, efficient database, and machine learning algorithms, this pipeline manages to reliably deliver transient candidates within ten minutes of images being taken. Our experience in using high performance computing resources to process big data in astronomy serves as a trailblazer to dealing with data from large-scale time-domain facilities in near future.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Rapid Response Triggering for Radio Transients with the SKA Observatory

    astro-ph.IM 2026-07 accept novelty 3.0 of 10

    SKA-Low and SKA-Mid should implement automated rapid-response triggering on external and internal alerts to enable early radio observations of diverse transients.

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