On the relationship between coherent excitation and quasi-elastic knock-out during the dissociation of 16O nuclei on protons.
Published In: International Journal of Modern Physics E: Nuclear Physics, 2024, v. 33, n. 12. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Lugovoi, Vladimir V.; Olimov, Khusniddin K.; Gulamov, Kadyr G.; Olimov, Kosim; Sindarov, Bunyod A.; Olimov, Alisher K. 3 of 3
Abstract
In diffractive p + 1 6 O interactions with the subsequent decay of an excited 1 6 O nucleus into proton fragment ( p f ) and nitrogen nucleus ( 1 5 N), the kinematical characteristics of p f and 1 5 N are obtained by the parameter-free Monte Carlo simulation method. The angular, momentum, rapidity and correlation Monte Carlo characteristics for p f and 1 5 N are consistent with the distributions of the similar quantities obtained experimentally in p + 1 6 O collisions at a momentum of 3. 2 5 GeV/c per nucleon of an incident 1 6 O∗ nucleus in the rest frame of the target proton (p). The relative probabilities have been found for coherent diffraction (∼ 5 9 %) of a proton (p) on the 1 6 O nucleus as a whole, when an excited oxygen, 1 6 O∗, nucleus is formed, decaying into 1 5 N and p f (which is not necessarily the nucleon on which, in fact, the diffraction interaction has occurred), and for incoherent interaction process (∼ 4 1 %) of a proton (p) on one of the nucleons of the 1 6 O nucleus, when this nucleon is observed as a proton ( p f ) fragment. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Modern Physics E: Nuclear Physics. 2024/12, Vol. 33, Issue 12, p1
- Document Type:Article
- Subject Area:Physics
- Publication Date:2024
- ISSN:0218-3013
- DOI:10.1142/S0218301324500629
- Accession Number:183581862
- Copyright Statement:Copyright of International Journal of Modern Physics E: Nuclear Physics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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