Transient processing and analysis using $texttt{AMPEL}$: Alert Management, Photometry and Evaluation of Lightcurves. (arXiv:1904.05922v1 [astro-ph.IM])
<a href="http://arxiv.org/find/astro-ph/1/au:+Nordin_J/0/1/0/all/0/1">J. Nordin</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Brinnel_V/0/1/0/all/0/1">V. Brinnel</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Santen_J/0/1/0/all/0/1">J. van Santen</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Bulla_M/0/1/0/all/0/1">M. Bulla</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Feindt_U/0/1/0/all/0/1">U. Feindt</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Franckowiak_A/0/1/0/all/0/1">A. Franckowiak</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Fremling_C/0/1/0/all/0/1">C. Fremling</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Gal_Yam_A/0/1/0/all/0/1">A. Gal-Yam</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Giomi_M/0/1/0/all/0/1">M. Giomi</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Kowalski_M/0/1/0/all/0/1">M. Kowalski</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Mahabal_A/0/1/0/all/0/1">A. Mahabal</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Miranda_N/0/1/0/all/0/1">N. Miranda</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Rauch_L/0/1/0/all/0/1">L. Rauch</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Rigault_M/0/1/0/all/0/1">M. Rigault</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Schulze_S/0/1/0/all/0/1">S. Schulze</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Sollerman_J/0/1/0/all/0/1">J. Sollerman</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Stein_R/0/1/0/all/0/1">R. Stein</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Yaron_O/0/1/0/all/0/1">O. Yaron</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Velzen_S/0/1/0/all/0/1">S. van Velzen</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Ward_C/0/1/0/all/0/1">C. Ward</a>

Both multi-messenger astronomy and new high-throughput wide-field surveys
require flexible tools for the selection and analysis of astrophysical
transients. We here introduce the Alert Management, Photometry and Evaluation
of Lightcurves (AMPEL) system, a streaming data analysis framework. AMPEL
incorporates an alert broker, coupling it with the capability to host user
contributed code to analyze and react to events. These tools are embedded into
a framework that encourages provenance and keeps track of the varying
information states that a transient displays. The latter concept includes
information gathered over time, but also varying data access levels and e.g.
improved calibration. We further describe the AMPEL live multi-messenger
correlation between ZTF data and IceCube neutrino alerts. To demonstrate AMPEL
we reprocess the first four months of Zwicky Transient Facility (ZTF) public
alerts and compare the yields of more than 200 different transient selection
functions in terms of how early and effectively they rediscover Type Ia
supernovae reported to the Transient Name Server (TNS). We highlight three
channels suitable for (1) the collection of a complete sample of extragalactic
transients, (2) immediate follow-up of nearby transients and (3) follow-up
campaigns targeting young, extragalactic transients. We confirm ZTF
completeness in that all TNS supernovae positioned on active CCD regions were
detected. AMPEL can assist in filtering transients in real time, running alert
reaction simulations, reprocessing of full datasets as well as the final
scientific analysis of transient data. This text also introduces how users can
design their own channels for inclusion in the AMPEL live instance that parses
the ZTF stream and the real-time submission of high quality extragalactic
supernova candidates to the TNS.

Both multi-messenger astronomy and new high-throughput wide-field surveys
require flexible tools for the selection and analysis of astrophysical
transients. We here introduce the Alert Management, Photometry and Evaluation
of Lightcurves (AMPEL) system, a streaming data analysis framework. AMPEL
incorporates an alert broker, coupling it with the capability to host user
contributed code to analyze and react to events. These tools are embedded into
a framework that encourages provenance and keeps track of the varying
information states that a transient displays. The latter concept includes
information gathered over time, but also varying data access levels and e.g.
improved calibration. We further describe the AMPEL live multi-messenger
correlation between ZTF data and IceCube neutrino alerts. To demonstrate AMPEL
we reprocess the first four months of Zwicky Transient Facility (ZTF) public
alerts and compare the yields of more than 200 different transient selection
functions in terms of how early and effectively they rediscover Type Ia
supernovae reported to the Transient Name Server (TNS). We highlight three
channels suitable for (1) the collection of a complete sample of extragalactic
transients, (2) immediate follow-up of nearby transients and (3) follow-up
campaigns targeting young, extragalactic transients. We confirm ZTF
completeness in that all TNS supernovae positioned on active CCD regions were
detected. AMPEL can assist in filtering transients in real time, running alert
reaction simulations, reprocessing of full datasets as well as the final
scientific analysis of transient data. This text also introduces how users can
design their own channels for inclusion in the AMPEL live instance that parses
the ZTF stream and the real-time submission of high quality extragalactic
supernova candidates to the TNS.

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