Abstract

Lately, the LHCb Collaboration reported the discovery of two new states in the B+D+D-K+ decay, i.e., X0(2866) and X1(2904). In the present work, we study whether these states can be understood as D¯K molecules from the perspective of their two-body strong decays into D-K+ via triangle diagrams and three-body decays into D¯Kπ. The coupling of the two states to D¯K are determined from the Weinberg compositeness condition, while the other relevant couplings are well known. The obtained strong decay width for the X0(2866) state, in marginal agreement with the experimental value within the uncertainty of the model, hints at a large D¯K component in its wave function. On the other hand, the strong decay width for the X1(2904) state, much smaller than its experimental counterpart, effectively rules out its assignment as a D¯K molecule.

Details

Title
Strong decays of D¯∗K∗ molecules and the newly observed X0,1 states
Author
Huang, Yin 1 ; Jun-Xu, Lu 2 ; Ju-Jun, Xie 3 ; Li-Sheng, Geng 4 

 Southwest Jiaotong University, School of Physical Science and Technology, Chengdu, China (GRID:grid.263901.f) (ISNI:0000 0004 1791 7667) 
 Beihang University, School of Physics and Beijing Key Laboratory of Advanced Nuclear Materials and Physics, Beijing, China (GRID:grid.64939.31) (ISNI:0000 0000 9999 1211) 
 Chinese Academy of Sciences, Institute of Modern Physics, Lanzhou, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Chinese Academy of Sciences, School of Nuclear Sciences and Technology, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419); Zhengzhou University, School of Physics and Microelectronics, Zhengzhou, China (GRID:grid.207374.5) (ISNI:0000 0001 2189 3846) 
 Beihang University, School of Physics and Beijing Key Laboratory of Advanced Nuclear Materials and Physics, Beijing, China (GRID:grid.64939.31) (ISNI:0000 0000 9999 1211); Zhengzhou University, School of Physics and Microelectronics, Zhengzhou, China (GRID:grid.207374.5) (ISNI:0000 0001 2189 3846); Beihang University, Beijing Advanced Innovation Center for Big Data-based Precision Medicine, Beijing, China (GRID:grid.64939.31) (ISNI:0000 0000 9999 1211) 
Publication year
2020
Publication date
Oct 2020
Publisher
Springer Nature B.V.
ISSN
14346044
e-ISSN
14346052
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2471918478
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.