AI Poincaré: Machine Learning Conservation Laws from Trajectories

Posted by klaurent MIT

Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Max Tegmark, , , | Summary: We present AI Poincar’e, a machine learning algorithm for auto-discovering conserved quantities using trajectory data from unknown dynamical systems. We test it on five Hamiltonian systems, including the gravitational 3-body problem, and find that it discovers not only all […]


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Constraints on dark matter to dark radiation conversion in the late universe with DES-Y1 and external data

Posted by klaurent Stanford

Kavli Affiliate: Aaron Roodman | First 5 Authors: Angela Chen, Dragan Huterer, Sujeong Lee, Agnès Ferté, Noah Weaverdyck | Summary: We study a phenomenological class of models where dark matter converts to dark radiation in the low redshift epoch. This class of models, dubbed DMDR, characterizes the evolution of comoving dark matter density with two […]


Continue.. Constraints on dark matter to dark radiation conversion in the late universe with DES-Y1 and external data