A data-driven framework using normalizing flows predicts the rate and kinematic distributions of dark photon and millicharged particle production directly from measured dilepton events.
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COLA-based hybrid emulator reproduces nonlinear power spectrum boosts in w0wa models to <2% error vs EuclidEmulator2 and produces <0.3σ shifts in LSST-like cosmic shear parameter constraints.
Beam-dump experiments for visibly decaying mediators hit an intrinsic sensitivity ceiling in the prompt-decay region that cannot be overcome by more data or better backgrounds, favoring compact portable setups.
citing papers explorer
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Data-Driven Predictions for Dark Photon and Millicharged Particle Production
A data-driven framework using normalizing flows predicts the rate and kinematic distributions of dark photon and millicharged particle production directly from measured dilepton events.
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Modeling nonlinear scales for dynamical dark energy cosmologies with COLA
COLA-based hybrid emulator reproduces nonlinear power spectrum boosts in w0wa models to <2% error vs EuclidEmulator2 and produces <0.3σ shifts in LSST-like cosmic shear parameter constraints.
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Beam-Dump Ceiling and Its Experimental Implication: The Case of a Portable Experiment
Beam-dump experiments for visibly decaying mediators hit an intrinsic sensitivity ceiling in the prompt-decay region that cannot be overcome by more data or better backgrounds, favoring compact portable setups.