Symbolic regression produces an approximate classifier for LHC exclusion limits that enables their direct inclusion during pMSSM global fits.
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Exhaustive symbolic regression identifies low-complexity functional forms for luminosity and mass functions that outperform Schechter and Press-Schechter parametrizations while satisfying physical extrapolation and integration constraints.
Physics equation corpora exhibit exponential decay in mathematical operator frequencies, proposed as a meta-law that narrows the space of plausible expressions for symbolic regression.
Derivative-coupled scalar field inflation produces ns and r values consistent with Planck and ACT data for power-law, alpha-attractor, arctan, hilltop, and polynomial potentials.
citing papers explorer
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Symbolic Classification-Enabled LHC Limits Online BSM Global Fits
Symbolic regression produces an approximate classifier for LHC exclusion limits that enables their direct inclusion during pMSSM global fits.
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The functional form of galaxy and halo luminosity and mass functions
Exhaustive symbolic regression identifies low-complexity functional forms for luminosity and mass functions that outperform Schechter and Press-Schechter parametrizations while satisfying physical extrapolation and integration constraints.
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Statistical Patterns in the Equations of Physics and the Emergence of a Meta-Law of Nature
Physics equation corpora exhibit exponential decay in mathematical operator frequencies, proposed as a meta-law that narrows the space of plausible expressions for symbolic regression.
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An Analytic Formalism of Inflation for Derivative Coupled Scalar Field and Validating its predictions for Some Inflationary Potentials
Derivative-coupled scalar field inflation produces ns and r values consistent with Planck and ACT data for power-law, alpha-attractor, arctan, hilltop, and polynomial potentials.