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Deep Learning Hamiltonian Monte Carlo
The dataset is used for simulating lattice gauge theories, specifically 2D U(1) gauge theory, and evaluating the efficiency of the Deep Learning Hamiltonian Monte Carlo algorithm. -
Monte-Carlo Simulations
Monte-Carlo simulations of Baikal-GVD's data. Two types of incoming particles are considered: 1) muon neutrinos arriving from under the horizon, and 2) bundles of muons... -
Monte Carlo simulations of E.coli bacterial motility
A dataset of high-fidelity, individual-based stochastic simulations of E.coli bacterial motility.