首页|Recent Findings from Polish Academy of Sciences Has Provided New Information abo ut Machine Learning (Flame: Fitting Lya Absorption Lines Using Machine Learning)
Recent Findings from Polish Academy of Sciences Has Provided New Information abo ut Machine Learning (Flame: Fitting Lya Absorption Lines Using Machine Learning)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news originating from Warsaw, Poland, by NewsRx co rrespondents, research stated, “We introduce FLAME, a machinelearning algorithm designed to fit Voigt profiles to H I Lyman-alpha (Ly alpha) absorption lines u sing deep convolutional neural networks. FLAME integrates two algorithms: the fi rst determines the number of components required to fit Ly alpha absorption line s, and the second calculates the Doppler parameterb, the H I column density NHI , and the velocity separation of individual components.”
WarsawPolandEuropeCyborgsEmergin g TechnologiesMachine LearningPolish Academy of Sciences
NETL
NSTL
