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Tracing Hα Fibrils through Bayesian Deep Learning View all abstracts by submitter

Jason T. L. Wang   Submitted: 2021-07-18 22:49

We present a new deep learning method, dubbed FibrilNet, for tracing chromospheric fibrils in Hα images of solar observations. Our method consists of a data pre-processing component that prepares training data from a threshold-based tool, a deep learning model implemented as a Bayesian convolutional neural network for probabilistic image segmentation with uncertainty quantification to predict fibrils, and a post-processing component containing a fibril-fitting algorithm to determine fibril orientations. The FibrilNet tool is applied to high-resolution Hα images from an active region (AR 12665) collected by the 1.6 m Goode Solar Telescope (GST) equipped with high-order adaptive optics at the Big Bear Solar Observatory (BBSO). We quantitatively assess the FibrilNet tool, comparing its image segmentation algorithm and fibril-fitting algorithm with those employed by the threshold-based tool. Our experimental results and major findings are summarized as follows. First, the image segmentation results (i.e., detected fibrils) of the two tools are quite similar, demonstrating the good learning capability of FibrilNet. Second, FibrilNet finds more accurate and smoother fibril orientation angles than the threshold-based tool. Third, FibrilNet is faster than the threshold-based tool and the uncertainty maps produced by FibrilNet not only provide a quantitative way to measure the confidence on each detected fibril, but also help identify fibril structures that are not detected by the threshold-based tool but are inferred through machine learning. Finally, we apply FibrilNet to full-disk Hα images from other solar observatories and additional high-resolution Hα images collected by BBSO/GST, demonstrating the tool's usability in diverse datasets.

Authors: Haodi Jiang, Ju Jing, Jiasheng Wang, Chang Liu, Qin Li, Yan Xu, Jason T. L. Wang, Haimin Wang
Projects: BBSO/NST

Publication Status: The Astrophysical Journal Supplement Series
Last Modified: 2021-07-19 16:19
Go to main E-Print page  The long period of 3He-rich solar energetic particles measured by Solar Orbiter 2020 November 17–23  Energetics and 3-D Structure of Elementary Events in Solar Coronal Heating  Edit Entry  Download Preprint  Submitter's Homepage Delete Entry 

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