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On the Prognostic Efficiency of Topological Descriptors for Magnetograms of Active Regions. / Knyazeva, I. S.; Urtiev, F. A.; Makarenko, N. G.

In: Geomagnetism and Aeronomy, Vol. 57, No. 8, 01.12.2017, p. 1086-1091.

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Knyazeva, IS, Urtiev, FA & Makarenko, NG 2017, 'On the Prognostic Efficiency of Topological Descriptors for Magnetograms of Active Regions', Geomagnetism and Aeronomy, vol. 57, no. 8, pp. 1086-1091. https://doi.org/10.1134/S0016793217080126

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Author

Knyazeva, I. S. ; Urtiev, F. A. ; Makarenko, N. G. / On the Prognostic Efficiency of Topological Descriptors for Magnetograms of Active Regions. In: Geomagnetism and Aeronomy. 2017 ; Vol. 57, No. 8. pp. 1086-1091.

BibTeX

@article{72afb05b5ceb47c4ab4a328a35c90316,
title = "On the Prognostic Efficiency of Topological Descriptors for Magnetograms of Active Regions",
abstract = "Solar flare prediction remains an important practical task of space weather. An increase in the amount and quality of observational data and the development of machine-learning methods has led to an improvement in prediction techniques. Additional information has been retrieved from the vector magnetograms; these have been recently supplemented by traditional line-of-sight (LOS) magnetograms. In this work, the problem of the comparative prognostic efficiency of features obtained on the basis of vector data and LOS magnetograms is discussed. Invariants obtained from a topological analysis of LOS magnetograms are used as complexity characteristics of magnetic patterns. Alternatively, the so-called SHARP parameters were used; they were calculated by the data analysis group of the Stanford University Laboratory on the basis of HMI/SDO vector magnetograms and are available online at the website (http://jsoc.stanford.edu/) with the solar dynamics observatory (SDO) database for the entire history of SDO observations. It has been found that the efficiency of large-flare prediction based on topological descriptors of LOS magnetograms in epignosis mode is at least s no worse than the results of prognostic schemes based on vector features. The advantages of the use of topological invariants based on LOS data are discussed.",
author = "Knyazeva, {I. S.} and Urtiev, {F. A.} and Makarenko, {N. G.}",
year = "2017",
month = dec,
day = "1",
doi = "10.1134/S0016793217080126",
language = "English",
volume = "57",
pages = "1086--1091",
journal = "Geomagnetism and Aeronomy",
issn = "0016-7932",
publisher = "МАИК {"}Наука/Интерпериодика{"}",
number = "8",

}

RIS

TY - JOUR

T1 - On the Prognostic Efficiency of Topological Descriptors for Magnetograms of Active Regions

AU - Knyazeva, I. S.

AU - Urtiev, F. A.

AU - Makarenko, N. G.

PY - 2017/12/1

Y1 - 2017/12/1

N2 - Solar flare prediction remains an important practical task of space weather. An increase in the amount and quality of observational data and the development of machine-learning methods has led to an improvement in prediction techniques. Additional information has been retrieved from the vector magnetograms; these have been recently supplemented by traditional line-of-sight (LOS) magnetograms. In this work, the problem of the comparative prognostic efficiency of features obtained on the basis of vector data and LOS magnetograms is discussed. Invariants obtained from a topological analysis of LOS magnetograms are used as complexity characteristics of magnetic patterns. Alternatively, the so-called SHARP parameters were used; they were calculated by the data analysis group of the Stanford University Laboratory on the basis of HMI/SDO vector magnetograms and are available online at the website (http://jsoc.stanford.edu/) with the solar dynamics observatory (SDO) database for the entire history of SDO observations. It has been found that the efficiency of large-flare prediction based on topological descriptors of LOS magnetograms in epignosis mode is at least s no worse than the results of prognostic schemes based on vector features. The advantages of the use of topological invariants based on LOS data are discussed.

AB - Solar flare prediction remains an important practical task of space weather. An increase in the amount and quality of observational data and the development of machine-learning methods has led to an improvement in prediction techniques. Additional information has been retrieved from the vector magnetograms; these have been recently supplemented by traditional line-of-sight (LOS) magnetograms. In this work, the problem of the comparative prognostic efficiency of features obtained on the basis of vector data and LOS magnetograms is discussed. Invariants obtained from a topological analysis of LOS magnetograms are used as complexity characteristics of magnetic patterns. Alternatively, the so-called SHARP parameters were used; they were calculated by the data analysis group of the Stanford University Laboratory on the basis of HMI/SDO vector magnetograms and are available online at the website (http://jsoc.stanford.edu/) with the solar dynamics observatory (SDO) database for the entire history of SDO observations. It has been found that the efficiency of large-flare prediction based on topological descriptors of LOS magnetograms in epignosis mode is at least s no worse than the results of prognostic schemes based on vector features. The advantages of the use of topological invariants based on LOS data are discussed.

UR - http://www.scopus.com/inward/record.url?scp=85042802877&partnerID=8YFLogxK

U2 - 10.1134/S0016793217080126

DO - 10.1134/S0016793217080126

M3 - Article

AN - SCOPUS:85042802877

VL - 57

SP - 1086

EP - 1091

JO - Geomagnetism and Aeronomy

JF - Geomagnetism and Aeronomy

SN - 0016-7932

IS - 8

ER -

ID: 36122557