Model-independent Gaussian Process reconstruction from CC+DESI+supernova data shows positive entropy production and approach to thermodynamic equilibrium, with dark energy equation of state consistent with a cosmological constant.
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Jarvis-HEP introduces a YAML-based Python framework for composing workflows and performing parameter scans in high-energy physics.
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Model-independent reconstruction of cosmic thermodynamics and dark energy dynamics
Model-independent Gaussian Process reconstruction from CC+DESI+supernova data shows positive entropy production and approach to thermodynamic equilibrium, with dark energy equation of state consistent with a cosmological constant.
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Jarvis-HEP: A lightweight Python framework for workflow composition and parameter scans in high-energy physics
Jarvis-HEP introduces a YAML-based Python framework for composing workflows and performing parameter scans in high-energy physics.