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Apr, 2021
用贝叶斯卷积神经网络进行鲁棒性星系椭偏率回归
A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression
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Claire Theobald, Bastien Arcelin, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro...
TL;DR
该研究提出了一种基于蒙特卡洛dropout的贝叶斯卷积神经网络,用于可靠地估计星系的椭圆度和相应的测量不确定性,并展示了如何可靠地估计其后验预测分布以及鲁棒的估计认识的不确定性。
Abstract
cosmic shear estimation
is an essential scientific goal for large galaxy surveys. It refers to the coherent distortion of distant galaxy images due to
weak gravitational lensing
along the line of sight. It can be
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