Comparison of Predictive Efficiency of Topological Descriptors and SHARP in Solar Flares Forecasting

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Comparison of Predictive Efficiency of Topological Descriptors and SHARP in Solar Flares Forecasting. / Knyazeva, Irina; Urtiev, Fedor; Makarenko, Nikolay.

In: Proceedings of the International Astronomical Union, Vol. 13, No. S335, 2017, p. 291-293.

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

Author

Knyazeva, Irina ; Urtiev, Fedor ; Makarenko, Nikolay. / Comparison of Predictive Efficiency of Topological Descriptors and SHARP in Solar Flares Forecasting. In: Proceedings of the International Astronomical Union. 2017 ; Vol. 13, No. S335. pp. 291-293.

BibTeX

@article{ec3e5942ae2c4fe2affea3f84dff543c,

title = "Comparison of Predictive Efficiency of Topological Descriptors and SHARP in Solar Flares Forecasting",

abstract = "In the current paper, we investigate topological invariants, calculated by HMI LOS magnetograms as complexity descriptors of solar magnetic fields. We compared them with the physical parameters provided by the Space-weather HMI Active Region Patches (SHARP). We have repeated forecasting experiment of Stanford Solar Observatories Group with the same positive and negative active region patches database, but replace SHARP parameters with topological invariants of corresponding LOS magnetograms. The classification results turned out practically identical to those obtained by the Stanford Solar Observatory group. This means that using LOS magnetograms retains enough complexity for magnetic field description.",

keywords = "methods: numerical, methods: statistical, Sun: flares, Sun: magnetic fields",

author = "Irina Knyazeva and Fedor Urtiev and Nikolay Makarenko",

year = "2017",

doi = "10.1017/S1743921317008134",

language = "English",

volume = "13",

pages = "291--293",

journal = "Proceedings of the International Astronomical Union",

issn = "1743-9213",

publisher = "Cambridge University Press",

number = "S335",

}

RIS

TY - JOUR

T1 - Comparison of Predictive Efficiency of Topological Descriptors and SHARP in Solar Flares Forecasting

AU - Knyazeva, Irina

AU - Urtiev, Fedor

AU - Makarenko, Nikolay

PY - 2017

Y1 - 2017

N2 - In the current paper, we investigate topological invariants, calculated by HMI LOS magnetograms as complexity descriptors of solar magnetic fields. We compared them with the physical parameters provided by the Space-weather HMI Active Region Patches (SHARP). We have repeated forecasting experiment of Stanford Solar Observatories Group with the same positive and negative active region patches database, but replace SHARP parameters with topological invariants of corresponding LOS magnetograms. The classification results turned out practically identical to those obtained by the Stanford Solar Observatory group. This means that using LOS magnetograms retains enough complexity for magnetic field description.

AB - In the current paper, we investigate topological invariants, calculated by HMI LOS magnetograms as complexity descriptors of solar magnetic fields. We compared them with the physical parameters provided by the Space-weather HMI Active Region Patches (SHARP). We have repeated forecasting experiment of Stanford Solar Observatories Group with the same positive and negative active region patches database, but replace SHARP parameters with topological invariants of corresponding LOS magnetograms. The classification results turned out practically identical to those obtained by the Stanford Solar Observatory group. This means that using LOS magnetograms retains enough complexity for magnetic field description.

KW - methods: numerical

KW - methods: statistical

KW - Sun: flares

KW - Sun: magnetic fields

UR - http://www.scopus.com/inward/record.url?scp=85062870816&partnerID=8YFLogxK

U2 - 10.1017/S1743921317008134

DO - 10.1017/S1743921317008134

M3 - Article

AN - SCOPUS:85062870816

VL - 13

SP - 291

EP - 293

JO - Proceedings of the International Astronomical Union

JF - Proceedings of the International Astronomical Union

SN - 1743-9213

IS - S335

ER -

ID: 71884905