Slow-neutron production as a probe of hadron formation in high-energy reactions
Abstract
Deep inelastic scattering (DIS) experiments at the planned Electron-Ion Collider will be affected by details of the hadron formation inside the nuclear volume. Besides semi-inclusive particle production experiments, decays of the target nucleus via emission of neutrons provide an additional opportunity to probe this domain. This paper reports on the hybrid dynamical + statistical calculations of low-energy neutron production in muon-induced and virtual photon-induced collisions with nuclei. We confirm the conclusion that the E665 data on neutron production in $μ^–$ + Pb DIS at 470 GeV indicate a strong suppression of the final-state interaction for hadrons with momenta above ≈1 GeV/c. Ultraperipheral heavy-ion collisions at the Large Hadron Collider (LHC) and the Relativistic Heavy Ion Collider (RHIC) can be used to test this suppression. The calculations of the neutron multiplicity distributions and $$p_t$$ spectra in photon-nucleus collisions at the energies accessible at the LHC and RHIC are presented for several models of hadron formation. We argue that studies of neutron production in ultraperipheral heavy-ion collisions open a window onto the small-$$\mathcal{x}$$ dynamics and hadron component of the photon wave function.
- Authors:
- Publication Date:
- Research Org.:
- Pennsylvania State Univ., University Park, PA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Nuclear Physics (NP)
- OSTI Identifier:
- 1593497
- Alternate Identifier(s):
- OSTI ID: 1800790
- Grant/Contract Number:
- FG02-93ER40771
- Resource Type:
- Published Article
- Journal Name:
- Physical Review C
- Additional Journal Information:
- Journal Name: Physical Review C Journal Volume: 101 Journal Issue: 1; Journal ID: ISSN 2469-9985
- Publisher:
- American Physical Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; Physics
Citation Formats
Larionov, A. B., and Strikman, M. Slow-neutron production as a probe of hadron formation in high-energy γ * A reactions. United States: N. p., 2020.
Web. doi:10.1103/PhysRevC.101.014617.
Larionov, A. B., & Strikman, M. Slow-neutron production as a probe of hadron formation in high-energy γ * A reactions. United States. https://doi.org/10.1103/PhysRevC.101.014617
Larionov, A. B., and Strikman, M. Thu .
"Slow-neutron production as a probe of hadron formation in high-energy γ * A reactions". United States. https://doi.org/10.1103/PhysRevC.101.014617.
@article{osti_1593497,
title = {Slow-neutron production as a probe of hadron formation in high-energy γ * A reactions},
author = {Larionov, A. B. and Strikman, M.},
abstractNote = {Deep inelastic scattering (DIS) experiments at the planned Electron-Ion Collider will be affected by details of the hadron formation inside the nuclear volume. Besides semi-inclusive particle production experiments, decays of the target nucleus via emission of neutrons provide an additional opportunity to probe this domain. This paper reports on the hybrid dynamical + statistical calculations of low-energy neutron production in muon-induced and virtual photon-induced collisions with nuclei. We confirm the conclusion that the E665 data on neutron production in $μ^–$ + Pb DIS at 470 GeV indicate a strong suppression of the final-state interaction for hadrons with momenta above ≈1 GeV/c. Ultraperipheral heavy-ion collisions at the Large Hadron Collider (LHC) and the Relativistic Heavy Ion Collider (RHIC) can be used to test this suppression. The calculations of the neutron multiplicity distributions and $p_t$ spectra in photon-nucleus collisions at the energies accessible at the LHC and RHIC are presented for several models of hadron formation. We argue that studies of neutron production in ultraperipheral heavy-ion collisions open a window onto the small-$\mathcal{x}$ dynamics and hadron component of the photon wave function.},
doi = {10.1103/PhysRevC.101.014617},
journal = {Physical Review C},
number = 1,
volume = 101,
place = {United States},
year = {2020},
month = {1}
}
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