63 citations
- Lomonosov Moscow State UniversityRU14 papers
- Frumkin Institute of Physical Chemistry and ElectrochemistryRU10 papers
- RWTH Aachen UniversityDE10 papers
- DWI – Leibniz Institute for Interactive MaterialsDE8 papers
- Russian Academy of SciencesRU7 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Moscow Institute of Physics and TechnologyRU4 papers
- National Research University Higher School of EconomicsRU4 papers
- Space Research InstituteRU4 papers
- Université Clermont AuvergneFR4 papers
- Brookhaven National LaboratoryUS3 papers
- Johannes Gutenberg University MainzDE3 papers
17 papers
Hot-wire based estimation of pressure fluctuations in the near field of a jet in the presence of a co-flow
O. P. Bychkov, G. A. Faranosov
It is shown that the velocity fluctuation spectra measured using a hot-wire in the potential flow region of a turbulent jet near field in the presence of a co-flow can be converted…
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…
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…
Active Anomaly Detection for time-domain discoveries
Emille E. O. Ishida, Matwey V. Kornilov, Konstantin L. Malanchev +7
We present the first evidence that adaptive learning techniques can boost the discovery of unusual objects within astronomical light curve data sets. Our method follows an active l…
Anomaly Detection in the Open Supernova Catalog
Maria V. Pruzhinskaya, Konstantin L. Malanchev, Matwey V. Kornilov +4
In the upcoming decade large astronomical surveys will discover millions of transients raising unprecedented data challenges in the process. Only the use of the machine learning al…
Thin Reaction Zones in Highly Turbulent Medium
Vladimir Sabelnikov, Rixin Yu, Andrei Lipatnikov
In a highly turbulent medium characterized by a low Damköhler number Da, reactions are commonly considered to occur in distributed zones broadened by small-scale turbulent eddies.…