A probabilistic machine learning method trained on cosmological simulations is used to determine whether stars in 10,000 nearby galaxies formed internally or were accreted from other galaxies during merging events. The model predicts that only 20% of the stellar mass in present day galaxies is the result of past mergers.

中文翻译：

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机器学习揭示了附近星系的合并历史


使用经过宇宙学模拟训练的概率机器学习方法来确定附近 10,000 个星系中的恒星是在内部形成还是在合并事件期间从其他星系吸积。该模型预测，当今星系中只有 20% 的恒星质量是过去合并的结果。