Forward-produced short-lived hadrons in ultra-relativistic fixed-target heavy-ion collisions can survive to undergo secondary hadron–nucleus collisions with neighboring lattice nuclei due to Lorentz contraction and time dilation.
Abelevet al.(ALICE Collaboration), Phys
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A physics-informed neural network infers pT spectra of pi, K, p, Lambda, and Ks in unmeasured rapidity regions from PYTHIA8 pp collisions at 13.6 TeV, achieving 1.5-5.83% yield uncertainties while reproducing yield ratios and freeze-out parameters.
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Secondary Hadron--Nucleus Collisions of Short-Lived Hadrons in Ultra-Relativistic Fixed-Target Heavy-Ion Interactions
Forward-produced short-lived hadrons in ultra-relativistic fixed-target heavy-ion collisions can survive to undergo secondary hadron–nucleus collisions with neighboring lattice nuclei due to Lorentz contraction and time dilation.
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Inferring identified hadron production in $pp$ collisions with physics-informed machine learning at the LHC
A physics-informed neural network infers pT spectra of pi, K, p, Lambda, and Ks in unmeasured rapidity regions from PYTHIA8 pp collisions at 13.6 TeV, achieving 1.5-5.83% yield uncertainties while reproducing yield ratios and freeze-out parameters.