An all-sky NEOWISE-based search using difference imaging and a CNN classifier trained on Cas A echoes detects no other historical Galactic supernova dust echoes at WISE sensitivity and delivers a catalog of 20477 Cas A echo positions.
A., Mahabal, A., Masci, F
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
representative citing papers
Discovery of a gravitationally lensed Type II supernova at z=1.37 with magnification ≳100×, confirmed via multi-telescope spectra and imaging.
BOOM is a new high-throughput alert broker using Rust, MongoDB, Valkey and Kafka that matches prior ZTF features at ~7x speed and is extended as Babamul for LSST's 20 million nightly alerts.
ZTF high-cadence data shows RR Lyrae stars and flaring sources can mimic UV transients, with pre-existing ML catalogs offering a concrete mitigation approach.
citing papers explorer
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Ghosts of eruptions past: Searching for historical Galactic supernovae using variable thermal dust echoes and machine learning
An all-sky NEOWISE-based search using difference imaging and a CNN classifier trained on Cas A echoes detects no other historical Galactic supernova dust echoes at WISE sensitivity and delivers a catalog of 20477 Cas A echo positions.
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A Natural $\gtrsim 100\times$ Telescope: Discovery of the Strongly Lensed Type II SN 2025mkn at $z=1.37$
Discovery of a gravitationally lensed Type II supernova at z=1.37 with magnification ≳100×, confirmed via multi-telescope spectra and imaging.
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BOOM and Babamul: a real-time, multi-survey, optical alert broker system operating at scale
BOOM is a new high-throughput alert broker using Rust, MongoDB, Valkey and Kafka that matches prior ZTF features at ~7x speed and is extended as Babamul for LSST's 20 million nightly alerts.
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The ZTF-ULTRASAT experiment: Characterizing the non-transients in ULTRASAT's high cadence survey
ZTF high-cadence data shows RR Lyrae stars and flaring sources can mimic UV transients, with pre-existing ML catalogs offering a concrete mitigation approach.