activity
20212026
most citedThe SNAD Viewer: Everything You Want to Know about Your Favorite ZTF Object

31 citations · 86 across the 14 of their papers we have counts for

collaborators

17 papers

astro-ph.HE2026★ 2 cited

SNAD: enabling discovery in the era of big data

Maria Pruzhinskaya, Emille E. O. Ishida, Konstantin Malanchev +8

In the era of wide-field surveys and big data in astronomy, the SNAD team is exploiting the potential of modern datasets for discovering new, unforeseen, or rare astrophysical obje…

astro-ph.IM2026

NOMAI : A real-time photometric classifier for superluminous supernovae identification. A science module for the Fink broker

E. Russeil, R. Lunnan, J. Peloton +10

Superluminous supernovae (SLSNe) are one of the most luminous stellar explosions known, yet they remain poorly understood. Because they are intrinsically rare, efficiently identify…

astro-ph.HE2025

Lost and Found - A gallery of overlooked optical nuclear transients from the ZTF archive

E. Quintin, E. Russeil, M. Llamas Lanza +12

Tidal disruption events (TDEs) correspond to the destruction of a star by the tidal forces around a black hole, leading to outbursts which can last from months to years. These tran…

astro-ph.HE2025★ 1 cited

Eruptive mass loss less than a year before the explosion of superluminous supernovae. II. A systematic search for pre-explosion eruptions with VLT/X-shooter

A. Gkini, C. Fransson, R. Lunnan +22

We present X-shooter observations of a sample of 21 hydrogen-poor superluminous supernovae (SLSNe-I), spanning a redshift range of z=0.13-0.95, aimed at searching for shells of cir…

cs.LG2025

Exploring Multi-view Symbolic Regression methods in physical sciences

Etienne Russeil, Fabrício Olivetti de França, Konstantin Malanchev +2

Describing the world behavior through mathematical functions help scientists to achieve a better understanding of the inner mechanisms of different phenomena. Traditionally, this i…

astro-ph.HE2025★ 5 cited

Early Identification of Optical Tidal Disruption Events: A science module for the Fink broker

Miguel Llamas Lanza, Sergey Karpov, Etienne Russeil +5

The detection of tidal disruption events (TDEs) is one of the key science goals of large optical time-domain surveys such as the Zwicky Transient Facility (ZTF) and the upcoming Ve…

cs.LG2025

Signatures to help interpretability of anomalies

Emmanuel Gangler, Emille E. O. Ishida, Matwey V. Kornilov +8

Machine learning is often viewed as a black box when it comes to understanding its output, be it a decision or a score. Automatic anomaly detection is no exception to this rule, an…

astro-ph.IM2024

Coniferest: a complete active anomaly detection framework

M. V. Kornilov, V. S. Korolev, K. L. Malanchev +8

We present coniferest, an open source generic purpose active anomaly detection framework written in Python. The package design and implemented algorithms are described. Currently,…

astro-ph.IM2024★ 2 cited

Exploring the Universe with SNAD: Anomaly Detection in Astronomy

Alina A. Volnova, Patrick D. Aleo, Anastasia Lavrukhina +9

SNAD is an international project with a primary focus on detecting astronomical anomalies within large-scale surveys, using active learning and other machine learning algorithms. T…

astro-ph.IM2024★ 12 cited

Transient Classifiers for Fink: Benchmarks for LSST

B. M. O. Fraga, C. R. Bom, A. Santos +6

The upcoming Legacy Survey of Space and Time (LSST) is expected to detect a few million transients per night, which will generate a live alert stream during the entire ten years of…

astro-ph.SR2024★ 10 cited

SNAD catalogue of M-dwarf flares from the Zwicky Transient Facility

A. S. Voloshina, A. D. Lavrukhina, M. V. Pruzhinskaya +11

Most of the stars in the Universe are M spectral class dwarfs, which are known to be the source of bright and frequent stellar flares. In this paper, we propose new approaches to d…

cs.LG2024★ 1 cited

Multi-View Symbolic Regression

Etienne Russeil, Fabrício Olivetti de França, Konstantin Malanchev +6

Symbolic regression (SR) searches for analytical expressions representing the relationship between a set of explanatory and response variables. Current SR methods assume a single d…

astro-ph.IM2023

Rainbow: a colorful approach on multi-passband light curve estimation

E. Russeil, K. L. Malanchev, P. D. Aleo +10

We present Rainbow, a physically motivated framework which enables simultaneous multi-band light curve fitting. It allows the user to construct a 2-dimensional continuous surface a…

astro-ph.IM2022

Finding active galactic nuclei through Fink

Etienne Russeil, Emille E. O. Ishida, Roman Le Montagner +2

We present the Active Galactic Nuclei (AGN) classifier as currently implemented within the Fink broker. Features were built upon summary statistics of available photometric points,…

astro-ph.IM2022★ 31 cited

The SNAD Viewer: Everything You Want to Know about Your Favorite ZTF Object

Konstantin Malanchev, Matwey V. Kornilov, Maria V. Pruzhinskaya +9

We describe the SNAD Viewer, a web portal for astronomers which presents a centralized view of individual objects from the Zwicky Transient Facility's (ZTF) data releases, includin…

astro-ph.HE2022★ 12 cited

Supernova search with active learning in ZTF DR3

Maria V. Pruzhinskaya, Emille E. O. Ishida, Alexandra K. Novinskaya +9

We provide the first results from the complete SNAD adaptive learning pipeline in the context of a broad scope of data from large-scale astronomical surveys. The main goal of this…

astro-ph.IM2021★ 10 cited

SNAD Transient Miner: Finding Missed Transient Events in ZTF DR4 using k-D trees

P. D. Aleo, K. L. Malanchev, M. V. Pruzhinskaya +7

We report the automatic detection of 11 transients (7 possible supernovae and 4 active galactic nuclei candidates) within the Zwicky Transient Facility fourth data release (ZTF DR4…