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Title Probing high-momentum protons and neutrons in neutron-rich nuclei
Authors Meytal Duer, O. Hen, Eliazer Piasetzky, Hayk Hakobyan, Lawrence Weinstein, Maxim Braverman, Erez Cohen, Douglas Higinbotham, K. Adhikari, Krishna Adhikari, Moskov Amaryan, John Arrington, A. Ashkenazi, Jacques Ball, Ilaria Balossino, Luca Barion, Marco Battaglieri, V. Batourine, Arie Beck, Ivan Bedlinskiy, Angela Biselli, Sergey Boyarinov, William Briscoe, William Brooks, Stephen Bueltmann, Dilini Bulumulla, Volker Burkert, Frank Cao, Daniel Carman, Andrea Celentano, Gabriel Charles, Taya Chetry, GIUSEPPE CIULLO, L. Clark, Brandon Clary, Philip Cole, Marco Contalbrigo, Olga Cortes Becerra, Volker Crede, Reynier Cruz Torres, Annalisa D'Angelo, Natalya Dashyan, Raffaella De Vita, Enzo De Sanctis, Maxime Defurne, Alexandre Deur, Chaden Djalali, Gail Dodge, Raphael Dupre, Hovanes Egiyan, Ahmed El Alaoui, Lamiaa El Fassi, Paul Eugenio, Robert Fersch, Alessandra Filippi, Tony Forest, Gagik Gavalian, Yeranuhi Ghandilyan, Shalev Gilad, Gerard Gilfoyle, Kevin Giovanetti, Francois-Xavier Girod-Gard, Evgeny Golovach, Ralf Gothe, Keith Griffioen, Lei Guo, Nathan Harrison, Mohammad Hattawy, Florian Hauenstein, Kawtar Hafidi, Ken Hicks, Maurik Holtrop, Charles Hyde, Yordanka Ilieva, David Ireland, Boris Ishkhanov, Evgeny Isupov, Kyungseon Joo, Md. Latiful Kabir, Dustin Keller, Grigor Khachatryan, Mariana Khachatryan, Mahbub Khandaker, Andrey Kim, Wooyoung Kim, Andi Klein, Franz Klein, Igor Korover, Sebastian Kuhn, Lucilla Lanza, Georgios Laskaris, Paolo Lenisa, Kenneth Livingston, Ian MacGregor, Claude Marchand, Nikolay Markov, Bryan McKinnon, Sharon Beck, Taisiya Mineeva, Marco Mirazita, Viktor Mokeev, Rachel Montgomery, Aram Movsisyan, Carlos Munoz Camacho, Brahim Mustapha, Pawel Nadel-Turonski, Silvia Niccolai, Gabriel Niculescu, Mikhail Osipenko, Alexander Ostrovidov, Michael Paolone, Eugene Pasyuk, Maria Patsyuk, Afroditi Papadopoulou, Kil Park, David Payette, William Phelps, Oleg Pogorelko, Jiwan Poudel, John Price, Sebastien Procureur, Yelena Prok, Dan Protopopescu, Marco Ripani, Alessandro Rizzo, Guenther Rosner, Patrizia Rossi, Franck Sabatie, Axel Schmidt, Carlos Salgado, Barak Schmookler, Reinhard Schumacher, Efrain Segarra, Youri Sharabian, Gregory Smith, Daria Sokhan, Nikolaos Sparveris, Stepan Stepanyan, Steffen Strauch, Mauro Taiuti, Joshua Artem Tan, Maurizio Ungaro, Hakob Voskanyan, Eric Voutier, Daniel Watts, Xiangdong Wei, Nicholas Zachariou, Jixie Zhang, Xiaochao Zheng, Zhiwen Zhao
JLAB number JLAB-PHY-18-2785
LANL number (None)
Other number DOE/OR/23177-4536
Document Type(s) (Journal Article) 
Associated with EIC: No
Supported by Jefferson Lab LDRD Funding: No
Funding Source: Nuclear Physics (NP)
Other Funding:National Science Foundation
Israel Science Foundation
the Chilean ComisionĀ“ Nacional de InvestigacionĀ“ C
 

Journal
Compiled for Nature
Volume 560
Page(s) 617
Refereed
Publication Abstract: The atomic nucleus is one of the densest and most complex quantum-mechanical systems in nature. Nuclei account for nearly all the mass of the visible Universe. The properties of individual nucleons (protons and neutrons) in nuclei can be probed by scattering a high-energy particle from the nucleus and detecting this particle after it scatters, often also detecting an additional knocked- out proton. Analysis of electron- and proton-scattering experiments suggests that some nucleons in nuclei form close-proximity neutron-proton pairs with high nucleon momentum, greater than the nuclear Fermi momentum. However, how excess neutrons in neutron-rich nuclei form such close-proximity pairs remains unclear. Here we measure protons and, for the first time, neutrons knocked out of medium-to-heavy nuclei by high-energy electrons and show that the fraction of high-momentum protons increases markedly with the neutron excess in the nucleus, whereas the fraction of high-momentum neutrons decreases sli
Experiment Numbers: E02-110, E02-104
Group: Hall B
Document:
DOI: https://doi.org/10.1038/s41586-018-0400-z
Accepted Manuscript:
Supporting Documents:
Supporting Datasets: