66 citations · 629 across the 40 of their papers we have counts for
43 papers
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…
Anomaly detection in Fink. I. Discovery, follow-up, and classification of unusual sources
M. V. Pruzhinskaya, M. V. Kornilov, A. V. Dodin +19
Modern wide-field time-domain surveys produce alert streams whose scientific potential is often concentrated in rare and unusual events. Efficient discovery therefore requires auto…
Supernova scores for active anomaly detection
Semenikhin T. A., Kornilov M. V., Pruzhinskaya M. V. +3
Large time-domain sky surveys generate extensive multi-year catalogs of light curves in which scientifically valuable transients, such as supernovae (SNe), are vastly outnumbered b…
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…
The largest ground-based catalogue of M-dwarf flares
A. D. Lavrukhina, B. Demkov, K. Malanchev +2
We present the largest ground-based catalogue of M-dwarf flares to date, comprising 1,229 time-resolved events identified in Zwicky Transient Facility Data Release 17. Using high-c…
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…
What ZTF Saw Where Rubin Looked: Anomaly Hunting in DR23
Maria V. Pruzhinskaya, Anastasia D. Lavrukhina, Timofey A. Semenikhi +7
We present results from the SNAD VIII Workshop, during which we conducted the first systematic anomaly search in the ZTF fields also observed by LSSTComCam during Rubin Scientific…
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…
Dataset of artefacts for machine learning applications in astronomy
Sreevarsha Sreejith, Maria V. Pruzhinskaya, Alina A. Volnova +8
Accurate photometry in astronomical surveys is challenged by image artefacts, which affect measurements and degrade data quality. Due to the large amount of available data, this ta…
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,…
Superluminous supernova search with PineForest
T. Majumder, M. V. Pruzhinskaya, E. E. O. Ishida +3
The advent of wide-field astronomical surveys has made available large and complex data sets. However, the process of discovery and interpretation of each potentially new astronomi…
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…
Real-bogus scores for active anomaly detection
T. A. Semenikhin, M. V. Kornilov, M. V. Pruzhinskaya +8
In the task of anomaly detection in modern time-domain photometric surveys, the primary goal is to identify astrophysically interesting, rare, and unusual objects among a large vol…
The influence of environmental effects on Type Ia Supernovae Standardization
Anastasia Baluta, Maria Pruzhinskaya, Philippe Rosnet +1
Type Ia Supernovae (SNe Ia) are used as reliable cosmic distance indicators and their standardization is necessary for a more accurate measurement of the cosmological parameters of…
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…
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…
Reduction of supernova light curves by vector Gaussian processes
Matwey V. Kornilov, T. A. Semenikhin, M. V. Pruzhinskaya
Bolometric light curves play an important role in understanding the underlying physics of various astrophysical phenomena, as they allow for a comprehensive modeling of the event a…
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…
Enabling the discovery of fast transients: A kilonova science module for the Fink broker
B. Biswas, E. E. O. Ishida, J. Peloton +4
We describe the fast transient classification algorithm in the center of the kilonova (KN) science module currently implemented in the Fink broker and report classification results…
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…
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…
The Influence of the Peculiar Velocities of SNe Ia in Clusters of Galaxies on the Redshift Measurements
E. A. Balakina, M. V. Pruzhinskaya
The most intriguing question of modern astronomy is the question of our Universe formation. The Hubble diagram analysis with Type Ia Supernovae (SNe Ia) is widely used to estimate…
Anomaly detection in the Zwicky Transient Facility DR3
K. L. Malanchev, M. V. Pruzhinskaya, V. S. Korolev +11
We present results from applying the SNAD anomaly detection pipeline to the third public data release of the Zwicky Transient Facility (ZTF DR3). The pipeline is composed of 3 stag…
Optical and spectral observations and hydrodynamic modelling of Type IIb Supernova 2017gpn
Elena A. Balakina, Maria V. Pruzhinskaya, Alexander S. Moskvitin +6
In this work we present the photometric and spectroscopic observations of Type IIb Supernova 2017gpn. This supernova was discovered in the error-box of LIGO/Virgo G299232 gravitati…