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We use the Monte Carlo event generator Pythia to produce the hadron pairs and then bind them together to form hadronic molecules. Besides, the potential 24 GeV upgrade at Jefferson Lab's Jefferson Lab could play a vital role in the hunt for the elusive tetraquark and pentaquark states due to its high luminosity.
In a cosmological galaxy formation simulation, we present a diagram for the explicit evolution of interstellar dust. We post-processed a simulation from the Cosmic Reionization on Computers project, including an ordinary differential equation for the change of the dust-to-gas ratio along pathlines in the simulation, which was conducted with a tracer particle method. The total dust mass in the simulation galaxy is somewhat dependent on parameter choices for the dust model, especially the timescale for grain growth due to accretion in the ISM. As a result, observable quantities that can constrain galaxy dust masses at these epochs are potentially useful for establishing limits on dust physics.
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Presented in the search of physics signals predicted by the Standard Model at the Large Hadron Collider, we investigate the issue of data-driven background estimation, which arises in the search of physics signals predicted by the Standard Model at the Large Hadron Collider. The quest for the discovery of two pairs of Higgs bosons decaying into four bottom quarks has fueled our investigation. The data gathered in this issue is therefore a mixture of unlabeled background and signal events, and the primary aim of the investigation is to determine if the number of non-labeled signal events is nonzero. Past research in this area has identified regions of the space of collider events where signal is unlikely to appear and where the event's background is therefore clear. We develop a new framework for background estimation, based on the ideal transportation issue, but it does not depend on specific modeling assumptions.
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