Hostless extragalactic transients in Fink: Results from the ELEPHANT pipeline
R. Durgesh, P. J. Pessi, E. E. O. Ishida, J. Peloton

TL;DR
The ELEPHANT pipeline efficiently filters and classifies hostless extragalactic transients in real-time alert systems, achieving high accuracy and identifying genuinely hostless events with faint or absent hosts.
Contribution
This work presents the development and evaluation of the ELEPHANT pipeline for real-time identification and classification of hostless extragalactic transients in astronomical alert streams.
Findings
Out of 877 flagged events, 67 are confidently hostless candidates.
The pipeline achieved an overall accuracy of 0.84.
Most classified events are Type Ia supernovae and Type I superluminous supernovae.
Abstract
The ExtragaLactic alErt Pipeline for Hostless AstroNomical Transients (ELEPHANT), has been developed as a framework for filtering hostless candidates, in real time alert systems, and implemented as a filter in the Fink broker. ELEPHANT works on stamps and requires minimal information, thus allowing for fast identification of extragalactic transient events. In this work we evaluate the performance of the ELEPHANT pipeline by systematically analyzing flagged hostless candidates identified between 1 September 2023 and 31 December 2025. Our goal is to quantifying its accuracy and identify dominant sources of contamination. For each flagged candidate we collected additional information from multiple catalogues and archival repositories. We further examined their light-curve evolution and astrometric consistency (coordinate dispersion over time) to refine source classification. Results. Out…
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