BriefGPT.xyz
Dec, 2017
利用卷积神经网络探究超大质量黑洞反馈机制
Towards understanding feedback from supermassive black holes using convolutional neural networks
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Stanislav Fort
TL;DR
本研究使用卷积神经网络自动在低分辨率X射线图像中检测和表征星系团中的X射线空洞,并使用ResNet架构从像素预测中解码出空洞的半径。在模拟的数据上,我们的方法超过了目前基于视觉检查的方法的准确性、稳定性和速度。
Abstract
supermassive black holes
at centers of clusters of galaxies strongly interact with their host environment via
agn feedback
. Key tracers of such activity are
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