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Automatic Recognition of Solar Features for Developing Data Driven Prediction Models of Solar Activity and Space Weather.

机译:太阳能特征的自动识别,用于开发太阳活动和空间天气的数据驱动预测模型。

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摘要

Solar sequential chromospheric brightenings (SCBs) are point brightenings that are typically observed in conjunction with flares that have associated coronal mass ejections (CMEs). To characterize these ephemeral events, we developed automated procedures to identify and track loci of bright pixels of in two-ribbon solar flares and the SCBs using the ISOON telescope's H- alpha images. This software package extracts physical quantities such as temporal variation of flare and SCB intensities, apparent proper motion of the moving ribbons, and the speed of SCB intensity propagation (Kirk et al. Accepted). The extracted features can be overlaid onto complementary images to obtain Doppler velocity and magnetic intensity measurements. We present evidence that SCBs are a different class of brightening than the flare ribbons. We also put forward a simple model for observed SCB propagation speeds and hypothesize a physical origin.

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