Research output: Contribution to journal › Article › peer-review
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.Research output: Contribution to journal › Article › peer-review
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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