2023RNAAS...7..155V

Query : 2023RNAAS...7..155V

2023RNAAS...7..155V - Research Notes of the AAS, 7, 155 (2023/July-0)

The Most Interesting Anomalies Discovered in ZTF DR17 from the SNAD-VI Workshop.

VOLNOVA A., ALEO P.D., GANGLER E., ISHIDA E.E.O., KORNILOV M., KOROLEV V., KRUSHINSKY V., LAVRUKHINA A., MALANCHEV K., PRUZHINSKAYA M., RUSSEIL E., SEMENIKHIN T., SREEJITH S. (The SNAD Team)

Abstract (from CDS):

The SNAD team has developed an adaptive learning algorithm, named Pine Forest (PF), to enhance anomaly detection in astronomical data. Recognizing the essential role of human engagement in the discovery process, PF presents outliers to a human expert for review, and filters out trees which disagree with the feedback provided. During the sixth annual SNAD workshop (https://snad.space/2023/), held in 2023 July, we applied PF to the Zwicky Transient Facility's DR17 data. Interesting discoveries include long-duration objects such as supernovae, along with fast transients like red dwarf flares and one microlensing event. As a result, new variable stars were identified and labeled in the SNAD knowledge database.

Abstract Copyright: © 2023. The Author(s). Published by the American Astronomical Society.

Journal keyword(s): Supernovae - Red dwarf flare stars - Transient detection - Outlier detection - Astronomy data analysis

Simbad objects: 3

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Number of rows : 3
N Identifier Otype ICRS (J2000)
RA 		ICRS (J2000)
DEC 		Mag U Mag B Mag V Mag R Mag I Sp type #ref
1850 - 2026 		#notes
1 NVSS J080730+755017 Rad 08 07 30.74 +75 50 18.5           ~ 3 1
2 SN 2020uem SN* 08 24 23.850 -03 29 19.10           SNIIn 12 0
3 UCAC4 583-124062 * 21 38 10.8289030225 +26 27 59.779148447       15.438   ~ 2 0

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