A method for detecting multiple concomitant phenomena of coronal mass ejections

A technology that accompanies phenomena and detection methods, applied in the field of solar physics, can solve the problems of not using phenomenon correlation, unable to detect multiple phenomena at the same time, etc., to achieve the effect of reducing the amount of calculation

Inactive Publication Date: 2016-10-05
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

At present, there are flare detection methods that use its relationship with sunspots, but most of the phenomenon detection methods do not use the correlation relationship between phenomena, and different phenomena need to use different data features when detecting different phenomena, which cannot be detected at the same time Occurrence of multiple phenomena

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  • A method for detecting multiple concomitant phenomena of coronal mass ejections
  • A method for detecting multiple concomitant phenomena of coronal mass ejections
  • A method for detecting multiple concomitant phenomena of coronal mass ejections

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Embodiment Construction

[0031] The specific implementation steps are as follows:

[0032] Step 1: Obtain n times of CME phenomena according to the event record catalog, and record the occurrence time period of each CME (t p,1 ,t p,2 ) and central position angle CPA p , where 1≤p≤n represents the pth CME; for each CME phenomenon, use steps 2 and 3 to extract the label Y p and the eigenvector x p .

[0033] Step 2: Take a certain time period t=(t p,1 ',t p,2 '),t p,1 ≤t p,1 'p,2 '≤t p,2 , record the occurrence of six accompanying phenomena (record Y={coronal dimming, coronal hole, coronal wave, dark streak eruption, flare, "S" shape}) in the catalog data during the time period t Will Y p as the tag set for this CME;

[0034] Step 3: Extract texture feature vector x for CME within t time period p ; According to catalog, randomly select k pieces of images I={I 1 , I 2 ,…I k}, for each image I q , 1≤q≤k Go to steps 3.1-3.3 to get 56×k-dimensional feature vector x p ;

[0035] Step 3.1: Ex...

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Abstract

The invention discloses a detection method of coronal mass ejection multiple associated phenomenon; the method comprises the following steps: firstly, obtaining an occurrence time and a central position angle of CME based on event catalog data, selecting a certain time slot based on the occurrence time thereof for recording the associated phenomenon occurred within the time slot as a category tag set of the CME; secondly, selecting k pieces of images randomly in sequence within the selected time slot, extracting textural features of each image, so as to compose a feature vector of the CME; finally, using a multi-tag learning method for establishing a multi-tag model, correspondingly extracting the textural feature vector when a new CME phenomenon occurs, and detecting the associated phenomenon thereof. The detection method of coronal mass ejection multiple associated phenomenon effectively solves the problem of detecting multiple associated phenomenon when the CME occurs, and detecting the occurrences of multiple associated phenomenon at the same time.

Description

technical field [0001] The invention relates to the field of solar physics, in particular to the detection of related phenomena of coronal mass ejection. Background technique [0002] Coronal mass ejections (CMEs) are the most spectacular and frequent large-scale active phenomena in the solar system. CME originates from the solar surface and is ejected from the lower solar layer to the heliosphere. It is a large-scale eruption phenomenon composed of plasma and magnetic field. It has always been considered as the main driving source of space disaster weather. Since the sun is the closest star to the earth, the violent activities on the sun are very likely to have a serious impact on the safety of the earth's space environment on which we humans depend. The plasma ejected by a CME usually carries a strong southward magnetic field component. When it interacts with the Earth’s magnetic field, it will instantly dissipate and convert huge amounts of energy and matter in the space...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01W1/00
CPCG01W1/00
Inventor 彭博田红梅李天瑞
Owner SOUTHWEST JIAOTONG UNIV
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