Observations of the Cabibbo-Suppressed decays ${\boldsymbol \Lambda_{\boldsymbol c}^{\bf +}\to\boldsymbol n\pi^{\bf +}\boldsymbol\pi^{\bf 0}} $, ${\boldsymbol n\pi^{+}\boldsymbol\pi^{\bf -}\boldsymbol\pi^{\bf +} }$ and the Cabibbo-Favored decay ${\boldsymbol \Lambda_{\boldsymbol c}^{\bf +}\to \boldsymbol nK^{\bf -}\boldsymbol\pi^{\bf +}\boldsymbol\pi^{\bf +} }$

Figures(11) / Tables(10)

Get Citation
M. Ablikim, M. N. Achasov, P. Adlarson, M. Albrecht, R. Aliberti, A. Amoroso, M. R. An, Q. An, Y. Bai, O. Bakina, R. Baldini Ferroli, I. Balossino, Y. Ban, V. Batozskaya, D. Becker, K. Begzsuren, N. Berger, M. Bertani, D. Bettoni, F. Bianchi, E. Bianco, J. Bloms, A. Bortone, I. Boyko, R. A. Briere, A. Brueggemann, H. Cai, X. Cai, A. Calcaterra, G. F. Cao, N. Cao, S. A. Cetin, J. F. Chang, W. L. Chang, G. R. Che, G. Chelkov, C. Chen, Chao Chen, G. Chen, H. S. Chen, M. L. Chen, S. J. Chen, S. M. Chen, T. Chen, X. R. Chen, X. T. Chen, Y. B. Chen, Z. J. Chen, W. S. Cheng, S. K. Choi, X. Chu, G. Cibinetto, F. Cossio, J. J. Cui, H. L. Dai, J. P. Dai, A. Dbeyssi, R. E. de Boer, D. Dedovich, Z. Y. Deng, A. Denig, I. Denysenko, M. Destefanis, F. De Mori, Y. Ding, Y. Ding, J. Dong, L. Y. Dong, M. Y. Dong, X. Dong, S. X. Du, Z. H. Duan, P. Egorov, Y. L. Fan, J. Fang, S. S. Fang, W. X. Fang, Y. Fang, R. Farinelli, L. Fava, F. Feldbauer, G. Felici, C. Q. Feng, J. H. Feng, K Fischer, M. Fritsch, C. Fritzsch, C. D. Fu, H. Gao, Y. N. Gao, Yang Gao, S. Garbolino, I. Garzia, P. T. Ge, Z. W. Ge, C. Geng, E. M. Gersabeck, A Gilman, K. Goetzen, L. Gong, W. X. Gong, W. Gradl, M. Greco, L. M. Gu, M. H. Gu, Y. T. Gu, C. Y Guan, A. Q. Guo, L. B. Guo, R. P. Guo, Y. P. Guo, A. Guskov, W. Y. Han, X. Q. Hao, F. A. Harris, K. K. He, K. L. He, F. H. Heinsius, C. H. Heinz, Y. K. Heng, C. Herold, G. Y. Hou, Y. R. Hou, Z. L. Hou, H. M. Hu, J. F. Hu, T. Hu, Y. Hu, G. S. Huang, K. X. Huang, L. Q. Huang, X. T. Huang, Y. P. Huang, Z. Huang, T. Hussain, N Hüsken, W. Imoehl, M. Irshad, J. Jackson, S. Jaeger, S. Janchiv, E. Jang, J. H. Jeong, Q. Ji, Q. P. Ji, X. B. Ji, X. L. Ji, Y. Y. Ji, Z. K. Jia, S. S. Jiang, X. S. Jiang, Y. Jiang, J. B. Jiao, Z. Jiao, S. Jin, Y. Jin, M. Q. Jing, T. Johansson, N. Kalantar-Nayestanaki, X. S. Kang, R. Kappert, M. Kavatsyuk, B. C. Ke, I. K. Keshk, A. Khoukaz, R. Kiuchi, R. Kliemt, L. Koch, O. B. Kolcu, B. Kopf, M. Kuemmel, M. Kuessner, A. Kupsc, W. Kühn, J. J. Lane, J. S. Lange, P. Larin, A. Lavania, L. Lavezzi, Z. H. Lei, H. Leithoff, M. Lellmann, T. Lenz, C. Li, C. Li, C. H. Li, Cheng Li, D. M. Li, F. Li, G. Li, H. Li, H. Li, H. B. Li, H. J. Li, H. N. Li, J. Q. Li, J. S. Li, J. W. Li, Ke Li, L. J Li, L. K. Li, Lei Li, M. H. Li, P. R. Li, S. X. Li, S. Y. Li, T. Li, W. D. Li, W. G. Li, X. H. Li, X. L. Li, Xiaoyu Li, Y. G. Li, Z. X. Li, Z. Y. Li, C. Liang, H. Liang, H. Liang, H. Liang, Y. F. Liang, Y. T. Liang, G. R. Liao, L. Z. Liao, J. Libby, A. Limphirat, C. X. Lin, D. X. Lin, T. Lin, B. J. Liu, C. Liu, C. X. Liu, D. Liu, F. H. Liu, Fang Liu, Feng Liu, G. M. Liu, H. Liu, H. B. Liu, H. M. Liu, Huanhuan Liu, Huihui Liu, J. B. Liu, J. L. Liu, J. Y. Liu, K. Liu, K. Y. Liu, Ke Liu, L. Liu, Lu Liu, M. H. Liu, P. L. Liu, Q. Liu, S. B. Liu, T. Liu, W. K. Liu, W. M. Liu, X. Liu, Y. Liu, Y. B. Liu, Z. A. Liu, Z. Q. Liu, X. C. Lou, F. X. Lu, H. J. Lu, J. G. Lu, X. L. Lu, Y. Lu, Y. P. Lu, Z. H. Lu, C. L. Luo, M. X. Luo, T. Luo, X. L. Luo, X. R. Lyu, Y. F. Lyu, F. C. Ma, H. L. Ma, L. L. Ma, M. M. Ma, Q. M. Ma, R. Q. Ma, R. T. Ma, X. Y. Ma, Y. Ma, F. E. Maas, M. Maggiora, S. Maldaner, S. Malde, Q. A. Malik, A. Mangoni, Y. J. Mao, Z. P. Mao, S. Marcello, Z. X. Meng, J. G. Messchendorp, G. Mezzadri, H. Miao, T. J. Min, R. E. Mitchell, X. H. Mo, N. Yu. Muchnoi, Y. Nefedov, F. Nerling, I. B. Nikolaev, Z. Ning, S. Nisar, Y. Niu, S. L. Olsen, Q. Ouyang, S. Pacetti, X. Pan, Y. Pan, A. Pathak, P. Patteri, M. Pelizaeus, H. P. Peng, K. Peters, J. L. Ping, R. G. Ping, S. Plura, S. Pogodin, V. Prasad, F. Z. Qi, H. Qi, H. R. Qi, M. Qi, T. Y. Qi, S. Qian, W. B. Qian, Z. Qian, C. F. Qiao, J. J. Qin, L. Q. Qin, X. P. Qin, X. S. Qin, Z. H. Qin, J. F. Qiu, S. Q. Qu, K. H. Rashid, C. F. Redmer, K. J. Ren, A. Rivetti, V. Rodin, M. Rolo, G. Rong, Ch. Rosner, S. N. Ruan, A. Sarantsev, Y. Schelhaas, C. Schnier, K. Schoenning, M. Scodeggio, K. Y. Shan, W. Shan, X. Y. Shan, J. F. Shangguan, L. G. Shao, M. Shao, C. P. Shen, H. F. Shen, X. Y. Shen, B. A. Shi, H. C. Shi, J. Y. Shi, Q. Q. Shi, R. S. Shi, X. Shi, X. D. Shi, J. J. Song, W. M. Song, Y. X. Song, S. Sosio, S. Spataro, F. Stieler, K. X. Su, P. P. Su, Y. J. Su, G. X. Sun, H. Sun, H. K. Sun, J. F. Sun, L. Sun, S. S. Sun, T. Sun, W. Y. Sun, Y. J. Sun, Y. Z. Sun, Z. T. Sun, Y. H. Tan, Y. X. Tan, C. J. Tang, G. Y. Tang, J. Tang, L. Y Tao, Q. T. Tao, M. Tat, J. X. Teng, V. Thoren, W. H. Tian, Y. Tian, I. Uman, B. Wang, B. L. Wang, C. W. Wang, D. Y. Wang, F. Wang, H. J. Wang, H. P. Wang, K. Wang, L. L. Wang, M. Wang, M. Z. Wang, Meng Wang, S. Wang, S. Wang, T. Wang, T. J. Wang, W. Wang, W. H. Wang, W. P. Wang, X. Wang, X. F. Wang, X. L. Wang, Y. Wang, Y. D. Wang, Y. F. Wang, Y. H. Wang, Y. Q. Wang, Yaqian Wang, Z. Wang, Z. Y. Wang, Ziyi Wang, D. H. Wei, F. Weidner, S. P. Wen, D. J. White, U. Wiedner, G. Wilkinson, M. Wolke, L. Wollenberg, J. F. Wu, L. H. Wu, L. J. Wu, X. Wu, X. H. Wu, Y. Wu, Y. J Wu, Z. Wu, L. Xia, T. Xiang, D. Xiao, G. Y. Xiao, H. Xiao, S. Y. Xiao, Y. L. Xiao, Z. J. Xiao, C. Xie, X. H. Xie, Y. Xie, Y. G. Xie, Y. H. Xie, Z. P. Xie, T. Y. Xing, C. F. Xu, C. J. Xu, G. F. Xu, H. Y. Xu, Q. J. Xu, X. P. Xu, Y. C. Xu, Z. P. Xu, F. Yan, L. Yan, W. B. Yan, W. C. Yan, H. J. Yang, H. L. Yang, H. X. Yang, L. Yang, Tao Yang, Y. F. Yang, Y. X. Yang, Yifan Yang, M. Ye, M. H. Ye, J. H. Yin, Z. Y. You, B. X. Yu, C. X. Yu, G. Yu, T. Yu, X. D. Yu, C. Z. Yuan, L. Yuan, S. C. Yuan, X. Q. Yuan, Y. Yuan, Z. Y. Yuan, C. X. Yue, A. A. Zafar, F. R. Zeng, X. Zeng, Y. Zeng, X. Y. Zhai, Y. H. Zhan, A. Q. Zhang, B. L. Zhang, B. X. Zhang, D. H. Zhang, G. Y. Zhang, H. Zhang, H. H. Zhang, H. H. Zhang, H. Y. Zhang, J. L. Zhang, J. Q. Zhang, J. W. Zhang, J. X. Zhang, J. Y. Zhang, J. Z. Zhang, Jianyu Zhang, Jiawei Zhang, L. M. Zhang, L. Q. Zhang, Lei Zhang, P. Zhang, Q. Y. Zhang, Shuihan Zhang, Shulei Zhang, X. D. Zhang, X. M. Zhang, X. Y. Zhang, X. Y. Zhang, Y. Zhang, Y. T. Zhang, Y. H. Zhang, Yan Zhang, Yao Zhang, Z. H. Zhang, Z. L. Zhang, Z. Y. Zhang, Z. Y. Zhang, G. Zhao, J. Zhao, J. Y. Zhao, J. Z. Zhao, Lei Zhao, Ling Zhao, M. G. Zhao, S. J. Zhao, Y. B. Zhao, Y. X. Zhao, Z. G. Zhao, A. Zhemchugov, B. Zheng, J. P. Zheng, Y. H. Zheng, B. Zhong, C. Zhong, X. Zhong, H. Zhou, L. P. Zhou, X. Zhou, X. K. Zhou, X. R. Zhou, X. Y. Zhou, Y. Z. Zhou, J. Zhu, K. Zhu, K. J. Zhu, L. X. Zhu, S. H. Zhu, S. Q. Zhu, T. J. Zhu, W. J. Zhu, Y. C. Zhu, Z. A. Zhu, J. H. Zou and (BESIII Collaboration). Observations of the Cabibbo-Suppressed decays ${\boldsymbol \Lambda_{\boldsymbol c}^{\bf +}\to\boldsymbol n\pi^{\bf +}\boldsymbol\pi^{\bf 0}} $, ${\boldsymbol n\pi^{+}\boldsymbol\pi^{\bf -}\boldsymbol\pi^{\bf +} }$ and the Cabibbo-Favored decay ${\boldsymbol \Lambda_{\boldsymbol c}^{\bf +}\to \boldsymbol nK^{\bf -}\boldsymbol\pi^{\bf +}\boldsymbol\pi^{\bf +} }$[J]. Chinese Physics C. doi: 10.1088/1674-1137/ac9d29
M. Ablikim, M. N. Achasov, P. Adlarson, M. Albrecht, R. Aliberti, A. Amoroso, M. R. An, Q. An, Y. Bai, O. Bakina, R. Baldini Ferroli, I. Balossino, Y. Ban, V. Batozskaya, D. Becker, K. Begzsuren, N. Berger, M. Bertani, D. Bettoni, F. Bianchi, E. Bianco, J. Bloms, A. Bortone, I. Boyko, R. A. Briere, A. Brueggemann, H. Cai, X. Cai, A. Calcaterra, G. F. Cao, N. Cao, S. A. Cetin, J. F. Chang, W. L. Chang, G. R. Che, G. Chelkov, C. Chen, Chao Chen, G. Chen, H. S. Chen, M. L. Chen, S. J. Chen, S. M. Chen, T. Chen, X. R. Chen, X. T. Chen, Y. B. Chen, Z. J. Chen, W. S. Cheng, S. K. Choi, X. Chu, G. Cibinetto, F. Cossio, J. J. Cui, H. L. Dai, J. P. Dai, A. Dbeyssi, R. E. de Boer, D. Dedovich, Z. Y. Deng, A. Denig, I. Denysenko, M. Destefanis, F. De Mori, Y. Ding, Y. Ding, J. Dong, L. Y. Dong, M. Y. Dong, X. Dong, S. X. Du, Z. H. Duan, P. Egorov, Y. L. Fan, J. Fang, S. S. Fang, W. X. Fang, Y. Fang, R. Farinelli, L. Fava, F. Feldbauer, G. Felici, C. Q. Feng, J. H. Feng, K Fischer, M. Fritsch, C. Fritzsch, C. D. Fu, H. Gao, Y. N. Gao, Yang Gao, S. Garbolino, I. Garzia, P. T. Ge, Z. W. Ge, C. Geng, E. M. Gersabeck, A Gilman, K. Goetzen, L. Gong, W. X. Gong, W. Gradl, M. Greco, L. M. Gu, M. H. Gu, Y. T. Gu, C. Y Guan, A. Q. Guo, L. B. Guo, R. P. Guo, Y. P. Guo, A. Guskov, W. Y. Han, X. Q. Hao, F. A. Harris, K. K. He, K. L. He, F. H. Heinsius, C. H. Heinz, Y. K. Heng, C. Herold, G. Y. Hou, Y. R. Hou, Z. L. Hou, H. M. Hu, J. F. Hu, T. Hu, Y. Hu, G. S. Huang, K. X. Huang, L. Q. Huang, X. T. Huang, Y. P. Huang, Z. Huang, T. Hussain, N Hüsken, W. Imoehl, M. Irshad, J. Jackson, S. Jaeger, S. Janchiv, E. Jang, J. H. Jeong, Q. Ji, Q. P. Ji, X. B. Ji, X. L. Ji, Y. Y. Ji, Z. K. Jia, S. S. Jiang, X. S. Jiang, Y. Jiang, J. B. Jiao, Z. Jiao, S. Jin, Y. Jin, M. Q. Jing, T. Johansson, N. Kalantar-Nayestanaki, X. S. Kang, R. Kappert, M. Kavatsyuk, B. C. Ke, I. K. Keshk, A. Khoukaz, R. Kiuchi, R. Kliemt, L. Koch, O. B. Kolcu, B. Kopf, M. Kuemmel, M. Kuessner, A. Kupsc, W. Kühn, J. J. Lane, J. S. Lange, P. Larin, A. Lavania, L. Lavezzi, Z. H. Lei, H. Leithoff, M. Lellmann, T. Lenz, C. Li, C. Li, C. H. Li, Cheng Li, D. M. Li, F. Li, G. Li, H. Li, H. Li, H. B. Li, H. J. Li, H. N. Li, J. Q. Li, J. S. Li, J. W. Li, Ke Li, L. J Li, L. K. Li, Lei Li, M. H. Li, P. R. Li, S. X. Li, S. Y. Li, T. Li, W. D. Li, W. G. Li, X. H. Li, X. L. Li, Xiaoyu Li, Y. G. Li, Z. X. Li, Z. Y. Li, C. Liang, H. Liang, H. Liang, H. Liang, Y. F. Liang, Y. T. Liang, G. R. Liao, L. Z. Liao, J. Libby, A. Limphirat, C. X. Lin, D. X. Lin, T. Lin, B. J. Liu, C. Liu, C. X. Liu, D. Liu, F. H. Liu, Fang Liu, Feng Liu, G. M. Liu, H. Liu, H. B. Liu, H. M. Liu, Huanhuan Liu, Huihui Liu, J. B. Liu, J. L. Liu, J. Y. Liu, K. Liu, K. Y. Liu, Ke Liu, L. Liu, Lu Liu, M. H. Liu, P. L. Liu, Q. Liu, S. B. Liu, T. Liu, W. K. Liu, W. M. Liu, X. Liu, Y. Liu, Y. B. Liu, Z. A. Liu, Z. Q. Liu, X. C. Lou, F. X. Lu, H. J. Lu, J. G. Lu, X. L. Lu, Y. Lu, Y. P. Lu, Z. H. Lu, C. L. Luo, M. X. Luo, T. Luo, X. L. Luo, X. R. Lyu, Y. F. Lyu, F. C. Ma, H. L. Ma, L. L. Ma, M. M. Ma, Q. M. Ma, R. Q. Ma, R. T. Ma, X. Y. Ma, Y. Ma, F. E. Maas, M. Maggiora, S. Maldaner, S. Malde, Q. A. Malik, A. Mangoni, Y. J. Mao, Z. P. Mao, S. Marcello, Z. X. Meng, J. G. Messchendorp, G. Mezzadri, H. Miao, T. J. Min, R. E. Mitchell, X. H. Mo, N. Yu. Muchnoi, Y. Nefedov, F. Nerling, I. B. Nikolaev, Z. Ning, S. Nisar, Y. Niu, S. L. Olsen, Q. Ouyang, S. Pacetti, X. Pan, Y. Pan, A. Pathak, P. Patteri, M. Pelizaeus, H. P. Peng, K. Peters, J. L. Ping, R. G. Ping, S. Plura, S. Pogodin, V. Prasad, F. Z. Qi, H. Qi, H. R. Qi, M. Qi, T. Y. Qi, S. Qian, W. B. Qian, Z. Qian, C. F. Qiao, J. J. Qin, L. Q. Qin, X. P. Qin, X. S. Qin, Z. H. Qin, J. F. Qiu, S. Q. Qu, K. H. Rashid, C. F. Redmer, K. J. Ren, A. Rivetti, V. Rodin, M. Rolo, G. Rong, Ch. Rosner, S. N. Ruan, A. Sarantsev, Y. Schelhaas, C. Schnier, K. Schoenning, M. Scodeggio, K. Y. Shan, W. Shan, X. Y. Shan, J. F. Shangguan, L. G. Shao, M. Shao, C. P. Shen, H. F. Shen, X. Y. Shen, B. A. Shi, H. C. Shi, J. Y. Shi, Q. Q. Shi, R. S. Shi, X. Shi, X. D. Shi, J. J. Song, W. M. Song, Y. X. Song, S. Sosio, S. Spataro, F. Stieler, K. X. Su, P. P. Su, Y. J. Su, G. X. Sun, H. Sun, H. K. Sun, J. F. Sun, L. Sun, S. S. Sun, T. Sun, W. Y. Sun, Y. J. Sun, Y. Z. Sun, Z. T. Sun, Y. H. Tan, Y. X. Tan, C. J. Tang, G. Y. Tang, J. Tang, L. Y Tao, Q. T. Tao, M. Tat, J. X. Teng, V. Thoren, W. H. Tian, Y. Tian, I. Uman, B. Wang, B. L. Wang, C. W. Wang, D. Y. Wang, F. Wang, H. J. Wang, H. P. Wang, K. Wang, L. L. Wang, M. Wang, M. Z. Wang, Meng Wang, S. Wang, S. Wang, T. Wang, T. J. Wang, W. Wang, W. H. Wang, W. P. Wang, X. Wang, X. F. Wang, X. L. Wang, Y. Wang, Y. D. Wang, Y. F. Wang, Y. H. Wang, Y. Q. Wang, Yaqian Wang, Z. Wang, Z. Y. Wang, Ziyi Wang, D. H. Wei, F. Weidner, S. P. Wen, D. J. White, U. Wiedner, G. Wilkinson, M. Wolke, L. Wollenberg, J. F. Wu, L. H. Wu, L. J. Wu, X. Wu, X. H. Wu, Y. Wu, Y. J Wu, Z. Wu, L. Xia, T. Xiang, D. Xiao, G. Y. Xiao, H. Xiao, S. Y. Xiao, Y. L. Xiao, Z. J. Xiao, C. Xie, X. H. Xie, Y. Xie, Y. G. Xie, Y. H. Xie, Z. P. Xie, T. Y. Xing, C. F. Xu, C. J. Xu, G. F. Xu, H. Y. Xu, Q. J. Xu, X. P. Xu, Y. C. Xu, Z. P. Xu, F. Yan, L. Yan, W. B. Yan, W. C. Yan, H. J. Yang, H. L. Yang, H. X. Yang, L. Yang, Tao Yang, Y. F. Yang, Y. X. Yang, Yifan Yang, M. Ye, M. H. Ye, J. H. Yin, Z. Y. You, B. X. Yu, C. X. Yu, G. Yu, T. Yu, X. D. Yu, C. Z. Yuan, L. Yuan, S. C. Yuan, X. Q. Yuan, Y. Yuan, Z. Y. Yuan, C. X. Yue, A. A. Zafar, F. R. Zeng, X. Zeng, Y. Zeng, X. Y. Zhai, Y. H. Zhan, A. Q. Zhang, B. L. Zhang, B. X. Zhang, D. H. Zhang, G. Y. Zhang, H. Zhang, H. H. Zhang, H. H. Zhang, H. Y. Zhang, J. L. Zhang, J. Q. Zhang, J. W. Zhang, J. X. Zhang, J. Y. Zhang, J. Z. Zhang, Jianyu Zhang, Jiawei Zhang, L. M. Zhang, L. Q. Zhang, Lei Zhang, P. Zhang, Q. Y. Zhang, Shuihan Zhang, Shulei Zhang, X. D. Zhang, X. M. Zhang, X. Y. Zhang, X. Y. Zhang, Y. Zhang, Y. T. Zhang, Y. H. Zhang, Yan Zhang, Yao Zhang, Z. H. Zhang, Z. L. Zhang, Z. Y. Zhang, Z. Y. Zhang, G. Zhao, J. Zhao, J. Y. Zhao, J. Z. Zhao, Lei Zhao, Ling Zhao, M. G. Zhao, S. J. Zhao, Y. B. Zhao, Y. X. Zhao, Z. G. Zhao, A. Zhemchugov, B. Zheng, J. P. Zheng, Y. H. Zheng, B. Zhong, C. Zhong, X. Zhong, H. Zhou, L. P. Zhou, X. Zhou, X. K. Zhou, X. R. Zhou, X. Y. Zhou, Y. Z. Zhou, J. Zhu, K. Zhu, K. J. Zhu, L. X. Zhu, S. H. Zhu, S. Q. Zhu, T. J. Zhu, W. J. Zhu, Y. C. Zhu, Z. A. Zhu, J. H. Zou and (BESIII Collaboration). Observations of the Cabibbo-Suppressed decays ${\boldsymbol \Lambda_{\boldsymbol c}^{\bf +}\to\boldsymbol n\pi^{\bf +}\boldsymbol\pi^{\bf 0}} $, ${\boldsymbol n\pi^{+}\boldsymbol\pi^{\bf -}\boldsymbol\pi^{\bf +} }$ and the Cabibbo-Favored decay ${\boldsymbol \Lambda_{\boldsymbol c}^{\bf +}\to \boldsymbol nK^{\bf -}\boldsymbol\pi^{\bf +}\boldsymbol\pi^{\bf +} }$[J]. Chinese Physics C.  doi: 10.1088/1674-1137/ac9d29 shu
Milestone
Received: 2022-10-10
Article Metric

Article Views(21128)
PDF Downloads(55)
Cited by(0)
Policy on re-use
To reuse of Open Access content published by CPC, for content published under the terms of the Creative Commons Attribution 3.0 license (“CC CY”), the users don’t need to request permission to copy, distribute and display the final published version of the article and to create derivative works, subject to appropriate attribution.
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Email This Article

Title:
Email:

Observations of the Cabibbo-Suppressed decays ${\boldsymbol \Lambda_{\boldsymbol c}^{\bf +}\to\boldsymbol n\pi^{\bf +}\boldsymbol\pi^{\bf 0}} $, ${\boldsymbol n\pi^{+}\boldsymbol\pi^{\bf -}\boldsymbol\pi^{\bf +} }$ and the Cabibbo-Favored decay ${\boldsymbol \Lambda_{\boldsymbol c}^{\bf +}\to \boldsymbol nK^{\bf -}\boldsymbol\pi^{\bf +}\boldsymbol\pi^{\bf +} }$

  • 1. Institute of High Energy Physics, Beijing 100049, China
  • 2. Beihang University, Beijing 100191, China
  • 3. Beijing Institute of Petrochemical Technology, Beijing 102617, China
  • 4. Bochum Ruhr-University, D-44780 Bochum, Germany
  • 5. Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
  • 6. Central China Normal University, Wuhan 430079, China
  • 7. Central South University, Changsha 410083, China
  • 8. China Center of Advanced Science and Technology, Beijing 100190, China
  • 9. COMSATS University Islamabad, Lahore Campus, Defence Road, Off Raiwind Road, 54000 Lahore, Pakistan
  • 10. Fudan University, Shanghai 200433, China
  • 11. G.I. Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
  • 12. GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
  • 13. Guangxi Normal University, Guilin 541004, China
  • 14. Guangxi University, Nanning 530004, China
  • 15. Hangzhou Normal University, Hangzhou 310036, China
  • 16. Hebei University, Baoding 071002, China
  • 17. Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
  • 18. Henan Normal University, Xinxiang 453007, China
  • 19. Henan University of Science and Technology, Luoyang 471003, China
  • 20. Henan University of Technology, Zhengzhou 450001, China
  • 21. Huangshan College, Huangshan 245000, China
  • 22. Hunan Normal University, Changsha 410081, China
  • 23. Hunan University, Changsha 410082, China
  • 24. Indian Institute of Technology Madras, Chennai 600036, India
  • 25. Indiana University, Bloomington, Indiana 47405, USA
  • 26A. INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
  • 26B. INFN Sezione di Perugia, I-06100, Perugia, Italy
  • 26C. University of Perugia, I-06100, Perugia, Italy
  • 27A. INFN Sezione di Ferrara, I-44122, Ferrara, Italy
  • 27B. University of Ferrara, I-44122, Ferrara, Italy
  • 28. Institute of Modern Physics, Lanzhou 730000, China
  • 29. Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
  • 30. Jilin University, Changchun 130012, China
  • 31. Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
  • 32. Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
  • 33. Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
  • 34. Lanzhou University, Lanzhou 730000, China
  • 35. Liaoning Normal University, Dalian 116029, China
  • 36. Liaoning University, Shenyang 110036, China
  • 37. Nanjing Normal University, Nanjing 210023, China
  • 38. Nanjing University, Nanjing 210093, China
  • 39. Nankai University, Tianjin 300071, China
  • 40. National Centre for Nuclear Research, Warsaw 02-093, Poland
  • 41. North China Electric Power University, Beijing 102206, China
  • 42. Peking University, Beijing 100871, China
  • 43. Qufu Normal University, Qufu 273165, China
  • 44. Shandong Normal University, Jinan 250014, China
  • 45. Shandong University, Jinan 250100, China
  • 46. Shanghai Jiao Tong University, Shanghai 200240, China
  • 47. Shanxi Normal University, Linfen 041004, China
  • 48. Shanxi University, Taiyuan 030006, China
  • 49. Sichuan University, Chengdu 610064, China
  • 50. Soochow University, Suzhou 215006, China
  • 51. South China Normal University, Guangzhou 510006, China
  • 52. Southeast University, Nanjing 211100, China
  • 53. State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, China
  • 54. Sun Yat-Sen University, Guangzhou 510275, China
  • 55. Suranaree University of Technology, University Avenue 111, Nakhon Ratchasima 30000, Thailand
  • 56. Tsinghua University, Beijing 100084, China
  • 57A. Istinye University, 34010, Istanbul, Turkey
  • 57B. Near East University, Nicosia, North Cyprus, Mersin 10, Turkey
  • 58. University of Chinese Academy of Sciences, Beijing 100049, China
  • 59. University of Groningen, NL-9747 AA Groningen, The Netherlands
  • 60. University of Hawaii, Honolulu, Hawaii 96822, USA
  • 61. University of Jinan, Jinan 250022, China
  • 62. University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
  • 63. University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
  • 64. University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
  • 65. University of Science and Technology Liaoning, Anshan 114051, China
  • 66. University of Science and Technology of China, Hefei 230026, China
  • 67. University of South China, Hengyang 421001, China
  • 68. University of the Punjab, Lahore-54590, Pakistan
  • 69A. University of Turin, I-10125, Turin, Italy
  • 69B. University of Eastern Piedmont, I-15121, Alessandria, Italy
  • 69C. INFN, I-10125, Turin, Italy
  • 70. Uppsala University, Box 516, SE-75120 Uppsala, Sweden
  • 71. Wuhan University, Wuhan 430072, China
  • 72. Xinyang Normal University, Xinyang 464000, China
  • 73. Yunnan University, Kunming 650500, China
  • 74. Zhejiang University, Hangzhou 310027, China
  • 75. Zhengzhou University, Zhengzhou 450001, China
  • a. Also at the Moscow Institute of Physics and Technology, Moscow 141700, Russia
  • b. Also at the Novosibirsk State University, Novosibirsk, 630090, Russia
  • c. Also at the NRC "Kurchatov Institute", PNPI, 188300, Gatchina, Russia
  • d. Also at Goethe University Frankfurt, 60323 Frankfurt am Main, Germany
  • e. Also at Key Laboratory for Particle Physics, Astrophysics and Cosmology, Ministry of Education; Shanghai Key Laboratory for Particle Physics and Cosmology; Institute of Nuclear and Particle Physics, Shanghai 200240, China
  • f. Also at Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) and Institute of Modern Physics, Fudan University, Shanghai 200443, China
  • g. Also at State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
  • h. Also at School of Physics and Electronics, Hunan University, Changsha 410082, China
  • i. Also at Guangdong Provincial Key Laboratory of Nuclear Science, Institute of Quantum Matter, South China Normal University, Guangzhou 510006, China
  • j. Also at Frontiers Science Center for Rare Isotopes, Lanzhou University, Lanzhou 730000, China
  • k. Also at Lanzhou Center for Theoretical Physics, Lanzhou University, Lanzhou 730000, China
  • l. Also at the Department of Mathematical Sciences, IBA, Karachi, Pakistan

Abstract: Using electron-positron annihilation data samples corresponding to an integrated luminosity of 4.5 fb$ ^{-1} $, collected by the BESIII detector in the energy region between $ 4599.53\; \,{\rm{MeV}} $ and $ 4698.82\; \,{\rm{MeV}} $, we report the first observations of the Cabibbo-suppressed decays $ \Lambda_c^+\to n\pi^+\pi^0 $, $ \Lambda_c^+\to n\pi^+\pi^-\pi^+ $, and the Cabibbo-favored decay $ \Lambda_c^+\to nK^-\pi^+\pi^+ $ with statistical significances of $ 7.9\sigma $, $ 7.8\sigma $, and $ >10\sigma $, respectively. The branching fractions of these decays are measured to be $\mathcal{B}(\Lambda_{c}^{+}\rightarrow n\pi^{+}\pi^{0})=(0.64\pm0.09\pm0.02)$%, $\mathcal{B}(\Lambda_{c}^{+}\rightarrow n\pi^{+}\pi^{-}\pi^{+})=(0.45\pm 0.07\pm $$ 0.03)$%, and $\mathcal{B}(\Lambda_{c}^{+}\rightarrow nK^{-}\pi^{+}\pi^{+})=(1.90\pm0.08\pm0.09)$%, where the first uncertainties are statistical and the second are systematic. We find that the branching fraction of the decay $ \Lambda_{c}^{+}\rightarrow n\pi^{+}\pi^{0} $ is about one order of magnitude higher than that of $ \Lambda_{c}^{+}\rightarrow n\pi^{+} $.

    HTML

    I.   INTRODUCTION
    • Charmed baryons provide an excellent laboratory for studying the properties of QCD in the case where a heavy quark couples to two light quarks. Currently, we do not have reliable phenomenological models to describe these complex baryon decays. More than two decades ago, a general formulation of a topological-diagram scheme for the nonleptonic weak decays of baryons was proposed to calculate the amplitudes of different topological diagrams [1]. The factorizable external W-emission amplitude T and internal W-emission amplitude C, as well as the non-factorizable inner W-emission amplitude $ C^{\prime} $ and W-exchange amplitude E are introduced in the representation of these diagrams. In this scheme, one amplitude can be factorized into two parts, the decay constant of the emitted meson and the heavy-to-light transition form factor, which can be directly calculated. By way of example, the topological diagrams for $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{0} $ can be seen in Fig. 1. We know that here the non-factorizable contribution is essential for understanding the weak decays of charmed baryons, in contrast to the negligible effect they contribute in heavy-meson decays [2]. Hence, studies of charmed baryon decays involving non-factorizable components are critical for understanding the underlying dynamics of charmed-baryon decays in general.

      Figure 1.  Topological diagrams of the decay $\Lambda_c^+ \to n\pi^+\pi^0$ via (a) external $W$-emission $T$, (b) internal $W$-emission $C$, (c) inner $W$-emission $C^{\prime}$, and (d) $W$-exchange diagram $E$.

      In addition, an alternative and model-inpendent approach based on quark flavor SU(3) symmetry has been proposed to describe charmed-baryon decays. Even though it is an approximate method, it is a powerful and reliable tool to extract useful information about these transitions [310]. Improved measurements of charmed-baryon decays will be important in further testing the validity of this method.

      Many experimental studies of various $ \Lambda^+_c $ decays have been reported, with a focus on decays to two-body hadronic final states [1121]. However, more studies of multi-body hadronic decays are required to gain deeper insight into the nature of non-perturbative QCD, as these involve rich intermediate processes and the branching fractions (BF) are in general higher. There is a significant discrepancy between the predicted BFs of $\Lambda_c^+\to N \bar{K} \pi\pi$ decays reported in Ref. [22] and the measured values for $ \Lambda_c^+\to pK^-\pi^+\pi^0 $ and $ \Lambda_c^+\to p\bar{K}^0\pi^+\pi^- $ [23]. Clarifying this tension requires knowledge of the BFs of hadronic $ \Lambda_c^+ $ decays to final states involving a neutron. Fewer studies have been performed for these decays because of the difficulty of direct neutron detection.

      The BESIII collaboration has measured the BFs of the Cabibbo-favored (CF) decay $ \Lambda_{c}^{+}\rightarrow nK_{S}^{0}\pi^{+} $ [14] and the Cabibbo-suppressed (CS) decay $ \Lambda_{c}^{+}\rightarrow n\pi^{+} $ [18]. These studies provide critical tests for isospin and SU(3) symmetries in charmed-baryon decays, the violation of which could lead to enhanced $ C P $-violation effects [24, 25]. Taking the BFs of $ \Lambda^+_c\to nK^0_S\pi^+ $, $ \Lambda^+_c\to pK^0_S\pi^0 $ and $ \Lambda^+_c\to p K^-\pi^+ $ from the Particle Data Group (PDG) [23], the amplitudes of these three decays satisfy the triangle relation and obey isospin symmetry [3]. However, the ratio of the BF of $ \Lambda_{c}^{+}\rightarrow n\pi^{+} $ to that of $ \Lambda_{c}^{+}\rightarrow p\pi^{0} $ is measured to be larger than 7.2 which disagrees with the SU(3) flavor symmetry model prediction [3, 6, 26]. Precise measurements of the BFs of additional $ \Lambda_c^+ $ decays to final states involving a neutron, such as $ \Lambda_c^+\to n \pi^+\pi^0 $, $ \Lambda_c^+\to n\pi^{+}\pi^{-}\pi^{+} $, and $ \Lambda_c^+\to nK^{-}\pi^{+}\pi^{+} $, are highly desirable to allow for futher tests of isospin and SU(3) symmetries in charmed-baryon decays. Throughout this paper, charge-conjugate modes are implicitly assumed.

      In this paper, two CS decays $\Lambda_{c}^{+}\to n\pi^{+}\pi^{0}$, $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{-}\pi^{+} $, and the CF decay $ \Lambda_{c}^{+}\to nK^{-}\pi^{+}\pi^{+} $ are studied by employing the double-tag (DT) method [27], where the neutron is reconstructed via the missing-mass technique. Our analysis is based on electron-positron annihilation data samples collected at seven center-of-mass (c.m.) energies from $ \sqrt{s}=4599.53\; \,{\rm{MeV}} $ to $ 4698.82\; \,{\rm{MeV}} $ by the BESIII detector. These data samples correspond to an integrated luminosity of 4.5 fb$ ^{-1} $ [2831], as listed in Table 1. Within this energy range, the electron-positron collisions provide a clean environment for the production $ \Lambda_c^+\bar{\Lambda}_c^{-} $ pairs, which offers a unique opportunity to carry out model-independent measurements of the BFs of various $ \Lambda_{c}^{+} $ decays involving neutrons. The DT method allows us to measure the BFs without any theoretical input or external information on the cross section of $ \Lambda_{c}^{+} $ production.

      $\sqrt{s}$ /MeVInt. luminosity/pb$^{-1}$
      4599.53$586.90\pm0.10\pm3.90$
      4611.86$103.65\pm0.05\pm0.55$
      4628.00$521.53\pm0.11\pm2.76$
      4640.91$551.65\pm0.12\pm2.92$
      4661.24$529.43\pm0.12\pm2.81$
      4681.92$1667.39\pm0.21\pm8.84$
      4698.82$535.54\pm0.12\pm2.84$

      Table 1.  The c.m. energies and integrated luminosities for the data samples.

      The $ \bar{\Lambda}^{-}_{c} $ baryons are reconstructed with twelve exclusive hadronic decay modes, as listed in Table 2. This data set is referred to as the single-tag (ST) sample. The $ \pi^0 $, $ K_{S}^{0} $, $ \bar{\Lambda} $, $ \bar{\Sigma}^0 $, and $ \bar{\Sigma}^- $ particles are reconstructed via individual dominant decay modes. Those events in which any of the signal decays $ \Lambda_c^+\to n \pi^+\pi^0 $, $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{-}\pi^{+} $, and $ \Lambda_{c}^{+}\to nK^{-}\pi^{+}\pi^{+} $ are reconstructed in the system recoiling against the ST $ \bar{\Lambda}_{c}^{-} $ candidates are denoted as DT candidates.

      Tag mode$ \Delta{}E $$/{\rm{MeV} }$$ N_{i}^{\rm{ST}} $$ \varepsilon_{i}^{\rm{ST}} (\%) $$ \varepsilon_{i}^{\rm{DT}}(\mathcal{E}) (\%) $$ \varepsilon_{i}^{\rm{DT}}(\mathcal{D}) (\%) $$ \varepsilon_{i}^{\rm{DT}}(\mathcal{F}) (\%) $
      $ \bar{p}{}K_{S}^0 $$ (-21,18) $3376±61$ 48.6 $$ 12.58 $$ 11.55 $$ 18.50 $
      $ \bar{p}{}K^{+}\pi^- $$ (-29,26) $17508±147$ 47.1 $$ 10.77 $$ 10.59 $$ 16.61 $
      $ \bar{p}{}K_{S}^0\pi^0 $$ (-49,34) $1785±63$ 19.7 $$ 4.74 $$ 4.65 $$ 7.15 $
      $ \bar{p}{}K_{S}^0\pi^-\pi^+ $$ (-34,31) $1511±57$ 20.7 $$ 4.22 $$ 4.13 $$ 5.99 $
      $ \bar{p}{}K^{+}\pi^-\pi^0 $$ (-60,41) $5111±128$ 17.8 $$ \cdots $$ 4.13 $$ 6.60 $
      $ \bar{\Lambda}{}\pi^- $$ (-23,21) $2074±48$ 41.3 $$ 9.95 $$ 9.12 $$ 15.08 $
      $ \bar{\Lambda}{}\pi^-\pi^0 $$ (-50,41) $4380±88$ 18.2 $$ 4.05 $$ 3.85 $$ 6.00 $
      $ \bar{\Lambda}{}\pi^-\pi^+\pi^- $$ (-40,36) $2059±61$ 13.9 $$ 2.80 $$ 2.67 $$ 3.93 $
      $ \bar{\Sigma}{}^{0}\pi^- $$ (-33,31) $1398±42$ 25.9 $$ 6.31 $$ 5.89 $$ 8.46 $
      $ \bar{\Sigma}{}^{-}\pi^0 $$ (-67,32) $879±43$ 22.5 $$ 5.78 $$ 5.21 $$ 8.22 $
      $ \bar{\Sigma}{}^{-}\pi^-\pi^+ $$ (-40,32) $3027±88$ 22.1 $$ 5.40 $$ 5.21 $$ 7.77 $
      $ \bar{p}{}\pi^-\pi^+ $$ (-26,20) $1596±80$ 53.6 $$ \cdots $$ \cdots $$ 17.35 $

      Table 2.  Requirements on $ \Delta{}E $, ST yields, ST and DT efficiencies for the signal decays of $ \Lambda_c^+\to n \pi^+\pi^0 $ ($ \mathcal{E} $), $ \Lambda_c^+\to n\pi^{+}\pi^{-}\pi^{+} $ ($ \mathcal{D} $) and $ \Lambda_c^+\to nK^{-}\pi^{+}\pi^{+} $ ($ \mathcal{F} $) at $ \sqrt{s}=4681.92\; \,{\rm{MeV}} $. The uncertainties are statistical only. The quoted efficiencies do not include any subdecay BFs. Entries of "$ \cdots $" are for the cases where knowledge of the DT efficiencies is not required in the analysis.

    II.   BESIII DETECTOR AND MONTE CARLO SIMULATION
    • The BESIII detector [32] records symmetric $ e^+e^- $ collisions provided by the BEPCII storage ring [33], which operates in the center-of-mass energy range from 2.0 $ \,{\rm{GeV}} $ to 4.95 $ \,{\rm{GeV}} $. BESIII has collected large data samples in this energy region [34]. The cylindrical core of the BESIII detector covers 93% of the full solid angle and consists of a helium-based multilayer drift chamber (MDC), a plastic scintillator time-of-flight system (TOF), and a CsI(Tl) electromagnetic calorimeter (EMC), which are all enclosed in a superconducting solenoidal magnet providing a 1.0 T magnetic field. The solenoid is supported by an octagonal flux-return yoke with resistive plate counter muon identification modules interleaved with steel. The charged-particle momentum resolution at $ 1\; \,{\rm{GeV}}/c $ is $0.5$%, and the specific ionization energy loss (dE/dx) resolution is $ 6 $% for electrons from Bhabha scattering. The EMC measures photon energies with a resolution of $ 2.5 $% ($ 5 $%) at $ 1~{\rm{GeV}} $ in the barrel (end-cap) region. The time resolution in the TOF barrel region is 68 ps, while that in the end-cap region is 60 ps [3537]. High-statistics Monte Carlo (MC) simulation samples for the process $ e^{+}e^{-}\to {\rm{inclusive}} $ are produced with the KKMC generator [38] by incorporating the initial-state radiation (ISR) effects and the beam-energy spread. The inclusive MC simulation sample, which consists of $ \Lambda_c^{+}\bar{\Lambda}_c^{-} $ events, $ D_{(s)}^{(*)} $ production, ISR return to lower-mass ψ states, and continuum processes $ e^{+}e^{-}\rightarrow q\bar{q} $ ($ q=u,d,s $), is generated to determine the ST detection efficiencies and estimate the potential background. For this MC simulation sample, all the known decay modes of charmed hadrons and charmonia are modeled with evtgen [39, 40] using BFs taken from the PDG [23], and the remaining unknown decays are modeled with LUNDCHARM [41]. Furthermore, exclusive DT signal MC simulation events, where the $ \bar{\Lambda}_{c}^{-} $ decays into any of the tag modes and the $ \Lambda_{c}^{+} $ decays into any of the signal modes of $ n\pi^{+}\pi^{0} $, $ n\pi^{+}\pi^{-}\pi^{+} $ or $ nK^{-}\pi^{+}\pi^{+} $, are used to determine the DT dectection efficiencies. The Born cross sections are taken into account when producing the MC simulation sample of $ \Lambda_c^{+}\bar{\Lambda}_c^{-} $ pairs. The $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{0} $ and $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{-}\pi^{+} $ signal MC samples are simulated evenly distributed in phase space since the angular distributions, momentum distributions and the two-body invariant mass distributions of the final state particles of the signal MC simulation samples are in good agreement with data with the current size of data set. For the signal MC simulation sample of $ \Lambda^+_c\to nK^{-}\pi^{+}\pi^{+} $, the key kinematic distributions mentioned above have been reweighted to agree with those of data. All final tracks and photons are fed into a GEANT4-based [42, 43] detector simulation package, which includes the geometric description of the BESIII detector.

    III.   ANALYSIS
    • Charged tracks detected in the MDC must satisfy $ | \cos\theta|<0.93 $ (where θ is defined with respect to the z-axis, which is the symmetry axis of the MDC) and have a distance of closest approach to the interaction point (IP) of less than 10 cm along the beam axis and less than 1 cm in the perpendicular plane, except for those used for reconstructing $ K_{S}^{0} $ and $ \bar{\Lambda} $ decays. Particle identification (PID) for charged tracks combines measurements of the energy deposited in the MDC (d$ E/ $dx) and the flight time in the TOF to form likelihoods $ \mathcal{L} (h) (h = p, K, \pi) $ for each hadron h hypothesis. Tracks are identified as protons when their likelihoods satisfy $ \mathcal{L}(p)>\mathcal{L}(K) $ and $ \mathcal{L}(p)>\mathcal{L}(\pi) $, while charged kaons and pions are identified by comparing the likelihoods for the kaon and pion hypotheses, $ \mathcal{L}(K)>\mathcal{L}(\pi) $ or $ \mathcal{L}(\pi)>\mathcal{L}(K) $, respectively.

      Neutral showers are reconstructed in the EMC. Showers not associated with any charged track are identified as photon candidates. The deposited energy of each shower in the EMC must be greater than $ 25\; \,{\rm{MeV}} $ in the barrel region, corresponding to the polar angle $ | \cos\theta|<0.80 $, and greater than $ 50\; \,{\rm{MeV}} $ in the end-cap region, corresponding to $ 0.86<| \cos\theta|<0.92 $. The EMC time difference from the event start time is required to be less than 700 ns, to suppress electronic noise and showers unrelated to the event. The $ \pi^{0} $ candidates are reconstructed from photon pairs with invariant masses within $ 115\; \,{\rm{MeV}}/c^2<M(\gamma\gamma)<150\; \,{\rm{MeV}}/c^2 $. To improve momentum resolution, a kinematic fit constraining the photon pairs to the $ \pi^0 $ known mass is performed and the resulting four-momentum of the $ \pi^0 $ candidate is used for further analysis.

      Candidates for $ K_{S}^{0} $ and $ \bar{\Lambda} $ decays are formed by $ \pi^{+}\pi^{-} $ and $ \bar{p}\pi^{+} $ combinations, respectively. For these tracks, their distances of closest approaches to the IP must be within $ \pm $20 cm along the beam direction. No distance constraint in the transverse plane is required. The charged pion is not subjected to the PID requirement described above, while the proton PID is imposed. The two final-state tracks are constrained to originate from a common decay vertex by requiring the $ \chi^2 $ of the vertex fit to be less than 100. Furthermore, the decay vertex is required to be separated from the IP by a distance of at least twice the fitted vertex resolution. The fitted momenta of the $ \pi^{+}\pi^{-} $ and $ \bar{p}\pi^{+} $ combinations are used in the subsequent analysis. We require $ 487\; \,{\rm{MeV}}/c^2<M(\pi^+\pi^{-})< 511 {\rm{MeV}}/c^2 $ and $ 1111\; \,{\rm{MeV}}/c^2<M(\bar{p}\pi^{+})<1121\,\; \,{\rm{MeV}}/c^2 $ to select $ K_{S}^{0} $ and $ \bar{\Lambda} $ candidates, respectively, which corresponds to a window of about three times the standard deviations either side of the known masses. The $ \bar{\Sigma}^0 $ and $ \bar{\Sigma}^- $ candidates are reconstructed with the $ \gamma\bar{\Lambda} $ and $ \bar{p}\pi^{0} $ combinations with invariant masses being in the intervals of $ 1179\; \,{\rm{MeV}}/c^2<M(\gamma\bar{\Lambda})<1203\; \,{\rm{MeV}}/c^2 $ and $ 1176\; \,{\rm{MeV}}/ c^2 < M(\bar{p}\pi^{0})<1200\; \,{\rm{MeV}}/c^2 $, respectively.

      For the tag modes $ \bar \Lambda^-_c\to $ $ \bar{p}{}K_{S}^0\pi^0 $, $ \bar \Lambda^-_c\to \bar{p}{}K_{S}^0\pi^-\pi^+ $, $ \bar \Lambda^-_c\to \bar{\Sigma}{}^{-}\pi^-\pi^+ $, and $ \bar \Lambda^-_c\to $ $ \bar{p}{}\pi^-\pi^+ $, possible backgrounds with $ \bar{\Lambda}\to \bar{p} \pi^+ $ are rejected by requiring $ M(\bar{p} \pi^+) $ to be outside the range $ (1110, 1120)\; \,{\rm{MeV}}/c^2 $. In the selection of $ \bar \Lambda^-_c\to \bar{p}{}K_{S}^0\pi^0 $ decays, candidate events within the range $ 1170\; \,{\rm{MeV}}/c^2<M(\bar{p}\pi^0)<1200\; \,{\rm{MeV}}/c^2 $ are excluded to suppress background from $ \bar{\Sigma}^- $ decays. To remove $ K_{S}^{0} $ decays in the selection of $ \bar \Lambda^-_c\to \bar{\Lambda}{}\pi^-\pi^+\pi^- $, $ \bar \Lambda^-_c\to \bar{\Sigma}{}^{-}\pi^0 $, $ \bar \Lambda^-_c\to \bar{\Sigma}{}^{-}\pi^-\pi^+ $, and $ \bar \Lambda^-_c\to $ $ \bar{p}{}\pi^-\pi^+ $ candidates, the invariant masses of any $ \pi^+ \pi^- $ and $ \pi^0\pi^0 $ pairs are required to lie outside of the range $ (480,520)\; \,{\rm{MeV}}/c^2 $. MC simulation studies indicate that peaking backgrounds and cross feeds among the twelve ST modes are negligible after applying the above veto procedures.

      The ST $ \bar{\Lambda}_{c}^{-} $ baryons are identified using the beam-constrained mass $ M_{\rm{BC}}\equiv \sqrt{E_{\rm{beam}}^2/c^4-p^2/c^2} $, where $ E_{\rm{beam}} $ is the average value of the $ e^+ $ and $ e^- $ beam energies and p is the measured $ \bar{\Lambda}_{c}^{-} $ momentum in the c.m. system of the $ e^+e^- $ collision. To improve the signal purity, the energy difference $ \Delta{}E \equiv E - E_{\rm{beam}} $ for the $ \bar{\Lambda}_{c}^{-} $ candidate is required to fulfil a mode-dependent $ \Delta{}E $ requirement shown in Table 2, corresponding to approximately three times the resolutions. Here, E is the total reconstructed energy of the $ \bar{\Lambda}_{c}^{-} $ candidate. For each ST mode, if more than one candidate satisfies the above requirements, we select the one with the minimal $ |\Delta{}E| $. Figure 2 shows the $ M_{\rm{BC}} $ distributions of various ST modes for the data sample at $ \sqrt{s}=4681.92\; \,{\rm{MeV}} $, where a clear $ \bar{\Lambda}_{c}^{-} $ signal peak can be seen in each mode.

      Figure 2.  (color online) The $M_{\rm{BC}}$ distributions of various ST modes for the data sample at $\sqrt{s}$=4681.92$\; \,{\rm{MeV}}$. The points with error bars represent data. The (red) solid curves indicate the fit results and the (blue) dashed curves describe the fitted background shapes. The ranges between green dashed lines are the signal regions.

      To obtain the ST yields, unbinned maximum-likelihood fits are performed to the $ M_{\rm{BC}} $ distributions, where the signal shapes are modeled with the MC-simulated shape convolved with a Gaussian function representing the resolution difference between data and MC simulation, and the background shapes are described by an ARGUS function [44]. The fit results for the data sample at $ \sqrt s= $4681.92 MeV are shown in Fig. 2. The fits to the $ M_{\rm{BC}} $ distributions for the other six data samples at different c.m. energies are shown in Appendix B. Candidates with $ M_{\rm{BC}}\in(2275, 2300)\; \,{\rm{MeV}}/c^2 $ for the data sample at $ \sqrt{s}=4599.53\; \,{\rm{MeV}} $, $ M_{\rm{BC}}\in(2275, 2306)\; \,{\rm{MeV}}/c^2 $ for the data samples at $ \sqrt{s}=$ 4611.86 MeV, 4628.00 MeV, 4640.91 MeV, and $ M_{\rm{BC}}\in(2275, 2310)\; \,{\rm{MeV}}/c^2 $ for the data samples at $ \sqrt{s}= $ 4661.24 MeV, 4681.92 MeV, 4698.82 MeV are retained for further analysis. The differences in selection requirements between data sets are necessary as the resolution and effects of ISR vary with collision energy. The fitted ST yields, ST and DT efficiencies for each ST mode at $ \sqrt s=4681.92 $ MeV are summarized in Table 2; those for the other c.m. energy points can be found in Appendix B.

      Searches are performed for the decays $ \Lambda_c^+\to n\pi^{+}\pi^{0} $, $ \Lambda_c^+\to n\pi^{+}\pi^{-}\pi^{+} $ and $ \Lambda_c^+\to nK^{-}\pi^{+}\pi^{+} $ among the remaining tracks and showers recoiling against the ST $ \bar{\Lambda}_{c}^{-} $ candidates. In the case of $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{0} $, the event is allowed to contain only one pion with opposite charge to the tagged $ \bar{\Lambda}_{c}^{-} $ satisfying the same selection criteria as described above. The $ \pi^0 $ candidate giving rise to the smallest $ \chi^{2} $ for the mass-constrained kinematic fit is retained. When searching for $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{-}\pi^{+} $ and $ \Lambda_{c}^{+}\to n K^{-}\pi^{+}\pi^{+} $ decays, events are selected with only three remaining charged tracks, satisfying the desired charge and PID criteria. In each of the decays, the kinematic variable $ M_{\rm{miss}} \equiv \sqrt{E_{\rm{miss}}^{2}/c^4-|\vec{{p}}_{\rm{miss}}|^{2}/c^2} $ is used to infer the presence of the undetected neutron. Here, $ E_{\rm{miss}} $ and $ \vec{{p}}_{\rm{miss}} $ are calculated by $ E_{\rm{miss}} \equiv E_{\rm{beam}}-E_{\rm{rec}} $ and $ \vec{{p}}_{\rm{miss}} \equiv \vec{{p}}_{\Lambda_{c}^{+}} - \vec{{p}}_{\rm{rec}} $, where $ E_{\rm{rec}} $($ \vec{{p}}_{\rm{rec}} $) is the energy (momentum) of the reconstructed final-state particles in the $ e^+e^- $ c.m. system. The momentum of the $ \Lambda_{c}^{+} $ baryon $ \vec{{p}}_{\Lambda_{c}^{+}} $ is calculated by $ \vec{{p}}_{\Lambda_{c}^{+}} \equiv -\hat{p}_{\rm{tag}} \sqrt{E_{\rm{beam}}^{2}/c^2-m_{\Lambda_{c}^{+}}^{2} c^2} $, where $ \hat{p}_{\rm{tag}} $ is the momentum direction of the ST $ \bar{\Lambda}_{c}^{-} $ and $ m_{\Lambda_{c}^{+}} $ is the known mass of the $ \Lambda_{c}^{+} $ baryon [23]. In the case of $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{0} $, $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{-}\pi^{+} $, and $ \Lambda_{c}^{+}\to n K^{-}\pi^{+}\pi^{+} $ decays, the $ M_{\rm{miss}}(\pi^{+}\pi^{0}) $, $ M_{\rm{miss}}(\pi^{+}\pi^{-}\pi^{+}) $ and $ M_{\rm{miss}}(K^{-}\pi^{+}\pi^{+}) $ spectra are expected to peak around the known mass of the neutron $ i.e. $ at $ 939.6\; \,{\rm{MeV}}/c^2 $ [23]. A study of the inclusive MC simulation sample reveals that the dominant background events for the signal mode $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{0} $ are from the processes $ \Lambda_{c}^{+}\to\Lambda\pi^{+} $ with $ \Lambda\to n\pi^{0} $, $ \Lambda_{c}^{+}\to\Sigma^{+}\pi^{0} $ with $ \Sigma^{+}\to n\pi^{+} $ and $ \Lambda_{c}^{+}\to \Sigma^{0}\pi^{+} $ with $ \Sigma^{0}\to\gamma\Lambda(\to n\pi^{0}) $. In order to reject these background events for $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{0} $, the following selection criteria are applied: $ M_{\rm{miss}}(\pi^{+})> $ 1300 $ \; \,{\rm{MeV}}/c^2 $ and $ M_{\rm{miss}}(\pi^{0})> $1370$ \; \,{\rm{MeV}}/c^2 $. For the signal mode $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{-}\pi^{+} $, the peaking backgrounds from the decays $ \Lambda_{c}^{+}\to nK_{S}^{0}(\to\pi^{+}\pi^{-})\pi^{+} $, $ \Lambda_{c}^{+}\to\Sigma^{+}(\to n\pi^{+})\pi^{+}\pi^{-} $, and $ \Lambda_{c}^{+}\to \Sigma^{-}(\to n\pi^{-})\pi^{+}\pi^{+} $ are suppressed by requiring $ M_{\pi^{+}\pi^{-}}\notin (487,511)\; \,{\rm{MeV}}/c^2 $, $ M_{\rm{miss}}(\pi^{+}\pi^{-})\notin(1150, 1250)\; \,{\rm{MeV}}/c^2 $ and $ M_{\rm{miss}}(\pi^{+}\pi^{+})\notin(1150, 1250)\; \,{\rm{MeV}}/c^2 $. Note that, based on the study of the inclusive MC simulation sample, ten ST modes (after excluding $ \bar{\Lambda}_{c}^{-}\to \bar{p}{}K^{+}\pi^-\pi^0 $ and $ \bar{\Lambda}_{c}^{-}\to \bar{p}{}\pi^-\pi^+ $) are used in the analysis of the decay $ \Lambda_c^+\to n \pi^+\pi^0 $, and eleven ST modes (after excluding $ \bar{\Lambda}_{c}^{-}\to \bar{p}{}\pi^-\pi^+ $) are used in the analysis of the decay $ \Lambda_c^+\to n\pi^{+}\pi^{-}\pi^{+} $ to improve the background level in the $ M_{\rm{miss}} $ spectra.

      The resulting $ M_{\rm{miss}} $ distributions of the DT candidate events summed over all data samples at seven c.m. energies are shown in Fig. 3. A peak around the neutron mass is observed in Fig. 3(a) representing the $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{0} $ signal. Moreover, there are two prominent structures peaking around the Λ and $ \Sigma^{0} $ mass regions, which correspond to the CF decays $ \Lambda_{c}^{+}\to \Lambda\pi^{+}\pi^{0} $ and $ \Lambda_{c}^{+}\to \Sigma^{0}\pi^{+}\pi^{0} $, respectively. Significant signal peaks around the neutron mass are also observed for $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{-}\pi^{+} $ and $ \Lambda_{c}^{+}\to nK^{-}\pi^{+}\pi^{+} $ in Fig. 3(b) and Fig. 3(c), respectively.

      Figure 3.  (color online) The $M_{\rm{miss}}$ distributions of the surviving DT candidate events for (a) $\Lambda_{c}^{+}\to n\pi^{+}\pi^{0}$, (b) $\Lambda_c^+\to n\pi^{+}\pi^{-}\pi^{+}$ and (c) $\Lambda_{c}^{+}\to nK^{-}\pi^{+}\pi^{+}$ decays with fit results overlaid. The points with error bars are data combined from seven c.m. energy points. The solid black curves are the fit results. The red, cyan, and pink dashed curves indicate the neutron, Λ, and Σ signal shapes, respectively. The brown dashed curve is the $\Lambda_{c}^{+}\bar{\Lambda}_{c}^{-}$ background shape for $\Lambda_{c}^{+}\to n\pi^{+}\pi^{0}$. The blue dashed curves represent the fitted combinatorial background shape. The green histograms are the simulated combinatorial background shapes from the inclusive MC sample. The plots in the bottom of each graphs show the pull value of each bin, in which the values are expected to fluctuate around 0.

      The total DT signal yield is obtained by performing an unbinned maximum-likelihood fit on the $ M_{\rm{miss}} $ distribution. The neutron, Λ and $ \Sigma^0 $ signals are modeled by individual MC-derived shapes convolved with Gaussian functions that account for the shift and resolution difference between data and MC simulation. The Gaussian-function parameters are left free and are shared by the three signal processes in the fit to the $ M_{\rm{miss}}(\pi^{+}\pi^{0}) $ spectra. The potential background events in the $ M_{\rm{miss}} $ distributions are classified into two categories. Those directly originating from continuum hadron production in the $ e^+e^- $ annihilation are denoted as $ q\bar{q} $ background. Those from $ e^+e^-\to\Lambda_c^+\bar{\Lambda}_{c}^{-} $ events excluding the contributions from the corresponding signal process are referred to as $ \Lambda_c^+\bar{\Lambda}_{c}^{-} $ background. In the fit to the $ M_{\rm{miss}}(\pi^{+}\pi^{0}) $ distribution, the $ q\bar{q} $ background is described by a second-order Chebyshev polynomial with free parameters and the $ \Lambda_c^+\bar{\Lambda}_{c}^{-} $ backgroud shape is taken from the inclusive MC simulation sample. For the fit to the $ M_{\rm{miss}}(\pi^{+}\pi^{-}\pi^{+}) $ spectrum, only one first-order Chebyshev polynomial with free parameters is used to model all the background. Similarly, for the $ M_{\rm{miss}}(K^{-}\pi^{+}\pi^{+}) $ distribution, one second-order Chebyshev function with fixed parameters is taken as the background shape where the parameters are derived from the fit to the inclusive MC simulation sample. The DT signal and background yields are left free in the fit to the $ M_{\rm{miss}}(\pi^{+}\pi^{0}) $, $ M_{\rm{miss}}(\pi^{+}\pi^{-}\pi^{+}) $ and $ M_{\rm{miss}}(K^{-}\pi^{+}\pi^{+}) $ spectra. Figure 3 shows the results of the fits to the $ M_{\rm{miss}} $ distributions. From these fits, we determine the DT signal yields of $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{0} $, $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{-}\pi^{+} $, and $ \Lambda_{c}^{+}\to nK^{-}\pi^{+}\pi^{+} $ to be $ N^{\rm{DT}}_{n\pi^{+}\pi^{0}}=150.9\pm21.4 $, $N^{\rm{DT}}_{n\pi^{+}\pi^{-}\pi^{+}}=120.6\pm 17.9$ and $ N^{\rm{DT}}_{nK^{-}\pi^{+}\pi^{+}}=805.8\pm33.1 $, respectively, where the uncertainties are statistical only. The statistical significances of the $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{0} $, $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{-}\pi^{+} $ and $\Lambda^+_c\to nK^{-}\pi^{+}\pi^{+}$ signals are $ 7.9\sigma $, $ 7.8\sigma $, and $ >10\sigma $, respectively, which are evaluated by the changes in the likelihoods between the nominal fit and the fit with the signal yield set to zero, and accounting for the change in the number of degrees of freedom.

      The BFs of the decays $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{0} $, $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{-}\pi^{+} $, and $ \Lambda_{c}^{+}\to nK^{-}\pi^{+}\pi^{+} $ are determined as

      $ \begin{equation} \mathcal{B}=\frac{N^{\rm{DT}}}{\sum_{ij} N_{ij}^{{\rm{ST}}}\cdot (\epsilon_{ij}^{{\rm{DT}}}/\epsilon_{ij}^{{\rm{ST}}})\cdot\mathcal{B}_{\rm{int}} }, \end{equation} $

      (1)

      where i and j represent the ST modes and the data samples at different c.m. energies, respectively. The factor $ \mathcal{B}_{\rm{int}} $ is $ (98.823\pm0.034)\ $%, which is the BF of $ \pi^{0}\to\gamma\gamma $ [23], is only present for $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{0} $. $ N_{ij}^{{\rm{ST}}} $, $ \epsilon_{ij}^{{\rm{ST}}} $, and $ \epsilon_{ij}^{{\rm{DT}}} $ are the ST yields, ST efficiencies, and DT efficiencies, respectively. The detection efficiencies $ \epsilon_{ij}^{{\rm{ST}}} $ and $ \epsilon_{ij}^{{\rm{DT}}} $ are estimated from the inclusive MC simulation sample and exclusive DT signal MC simulation samples, respectively. The ST and DT efficiencies for the data sample at $ \sqrt{s}=4681.92 $ MeV are summarized in Table 2. The detection efficiencies for the other data samples are summarized in Appendix B. The obtained BFs are summaried in Table 3.

      Signal decay$\mathcal{B}\; (\%)$
      $\Lambda_{c}^{+}\rightarrow n\pi^{+}\pi^{0}$$0.64\pm0.09\pm0.02$
      $\Lambda_{c}^{+}\rightarrow n\pi^{+}\pi^{-}\pi^{+}$$0.45\pm0.07\pm0.03$
      $\Lambda_{c}^{+}\rightarrow nK^{-}\pi^{+}\pi^{+}$$1.90\pm0.08\pm0.09$

      Table 3.  The obtained BFs, where the first uncertainties are statistical and the second are systematic.

      Most systematic uncertainties from the ST side cancel in the determination of the BFs, as is clear from Eq. (1). However, effects from the signal side can lead to systematic bias, for example, the requirement of no extra charged track, tracking efficiency, PID efficiency, $ \pi^{0} $ reconstruction, peaking background veto, $ M_{\rm{miss}} $ fit, ST $ \bar{\Lambda}_{c}^{-} $ yield, MC modeling, and MC sample size. The systematic uncertainty due to the requirement of no extra charged track is assigned as 1.1% from the study of a control sample of $ e^+e^-\to\Lambda_{c}^{+}\bar{\Lambda}_{c}^{-} $ with $ \Lambda_{c}^{+}\to nK^{-}\pi^{+}\pi^{+} $ and $ \bar{\Lambda}_{c}^{-} $ decays to tag modes. The systematic uncertainties associated with the efficiencies of the tracking and PID of charged particles are estimated to be $1$% by using control samples of $ e^+e^-\to \pi^+ \pi^+ \pi^- \pi^- $ and $ e^+e^-\to K^+K^-\pi^+\pi^- $ events collected at c.m. energies above $ \sqrt{s}=4.0 \,{\rm{GeV}} $. The systematic uncertainty due to the $ \pi^{0} $ reconstruction efficiency is assigned to be $1.0$% [12]. The systematic uncertainty associated with the BF of $ \pi^{0}\to\gamma\gamma $ is $0.03$% [23], which is negligible. In order to estimate the systematic uncertainties arising from the veto of peaking backgrounds involving Λ, $ \Sigma^{+} $, $ \Sigma^{0} $, $ K_{S}^{0} $, and $ \Sigma^{-} $, the corresponding resolutions in the MC simulation samples are corrected to agree with those in data, and the BFs are then re-evaluated with the updated MC simulation samples. The deviations from the baseline BF measurements are taken as the associated systematic uncertainties for $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{0} $ and $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{-}\pi^{+} $, which are 1.6% and 1.0%, respectively. The systematic uncertainties from the fitted DT yields are 1.3%, 2.2%, and 0.9% for $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{0} $, $ n\pi^{+}\pi^{-}\pi^{+} $, and $ nK^{-}\pi^{+}\pi^{+} $, respectively, which are estimated from varying the alternative polynomial descriptions for the $ q\bar{q} $ and $ \Lambda_{c}^{+}\bar{\Lambda}_{c}^{-} $ backgrounds, respectively. The systematic uncertainty in the total ST $ \bar{\Lambda}_{c}^{-} $ yield is 0.1% for $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{0} $, and 0.2% for $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{-}\pi^{+} $, and $ nK^{-}\pi^{+}\pi^{+} $. These uncertainties arise from the fluctuation of background together with a component coming from the fit to the $ M_{\rm{BC}} $ distribution. The systematic uncertainties arising from the MC modeling are investigated by reweighting the MC distribution to data, and they are assigned as the efficiency differences between the original and reweighted samples. The systematic uncertainties due to limited sample sizes of the MC samples are estimated to be 0.2%. Assuming that all the sources are uncorrelated, the total uncertainties are then taken to be the quadratic sums of the individual values, which are 3.1%, 5.6%, and 4.5% for $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{0} $, $ \Lambda_{c}^{+}\to n\pi^{+}\pi^{-}\pi^{+} $, and $ \Lambda_{c}^{+}\to nK^{-}\pi^{+}\pi^{+} $, respectively. All the above systematic uncertainties are summarized in Table 4.

      Source$n\pi^{+}\pi^{0}\; (\%)$$n\pi^{+}\pi^{-}\pi^{+}\; (\%)$$nK^{-}\pi^{+}\pi^{+}\; (\%)$
      No extra charged track1.11.11.1
      Tracking1.03.03.0
      PID1.03.03.0
      $\pi^{0}$ reconstruction1.0$-$$-$
      Background veto1.61.0$-$
      $M_{\rm{miss}}$ fit1.32.20.9
      ST $\bar{\Lambda}_{c}^{-}$ yield0.10.20.2
      MC model1.12.6$\cdots$
      MC sample size0.20.20.2
      Total3.15.64.5

      Table 4.  Relative systematic uncertainties in BF measurements. "$\cdots$" means the uncertainty is negligible. "$-$" indicates cases where there is no uncertainty.

    IV.   SUMMARY
    • In summary, by analyzing 4.5 $ {\rm{fb}}^{-1} $ of data collected at c.m. energies between 4599.53 and 4698.82 MeV, we report for the first time the observation of $ \Lambda^+_c\to n\pi^{+}\pi^{0} $, $ \Lambda^+_c\to n\pi^{+}\pi^{-}\pi^{+} $ and $ \Lambda^+_c\to nK^{-}\pi^{+}\pi^{+} $. The BFs of these decays are determined to be $\mathcal{B}(\Lambda_{c}^{+}\rightarrow n\pi^{+}\pi^{0})= (0.64\pm 0.09\pm0.02)$%, $\mathcal{B}(\Lambda_{c}^{+}\rightarrow n\pi^{+}\pi^{-}\pi^{+})=(0.45\pm0.07\pm0.03)$%, and $\mathcal{B}(\Lambda_{c}^{+}\rightarrow nK^{-}\pi^{+}\pi^{+})=(1.90\pm0.08\pm0.09)$%, where the first uncertainties are statistical and the second systematic. These observations are important additions to our knowledge of $ \Lambda_c^+ $ decays. Comparison of these results to those of decays involving protons provides crucial inputs for understanding the mechanisms in the charmed baryon decays under the SU(3) flavor symmetry. Taking $\mathcal{B}(\Lambda_c^+ \to p \pi^- \pi^+) =(0.461\pm0.028)$% from the PDG [23], we can calculate $ \mathcal{B}(\Lambda_c^+ \to p \pi^- \pi^+)/\mathcal{B}(\Lambda_c^+ \to n \pi^0 \pi^+) = 0.72\pm 0.11 $. This result provides useful input to test of isospin symmetry in the charm baryon sector. Taking $\mathcal{B}(\Lambda_c^+ \to n \pi^+) =(6.6\pm1.3)\times10^{-4}$ [18], the ratio $\mathcal{B}(\Lambda_c^+ \to n \pi^+ \pi^0)/ \mathcal{B}(\Lambda_c^+ \to n \pi^+)$ is calculated to be $ 9.7\pm2.4 $, indicating an order-of-magnitude difference in the rates of the two decays. This ratio is greater than $\mathcal{B}(\Lambda_c^+ \to p K_{S}^{0}\pi^0)/\mathcal{B}(\Lambda_c^+ \to p K_{S}^{0})=(1.24\pm0.10)$. To further understand this behavior, amplitude analysis will be needed to decouple the intermediate resonances contributions for $ \Lambda_c^+ \to n \pi^+ \pi^0 $ and $ \Lambda_c^+ \to p K_{S}^{0}\pi^0 $. The ratio of $\mathcal{B}(\Lambda_c^+ \to n \pi^+\pi^-\pi^+)/\mathcal{B}(\Lambda_c^+ \to n K^-\pi^+\pi^+)= (0.24\pm0.04)$ which is consistent with the ratio of Cabibbo-Kobayashi-Maskawa matrix elements $ |V_{cd}|/|V_{cs}|=(0.224\pm0.005) $ offers a new constraint on the CS and CF decay dynamics. The results from this analysis provide an essential input for the phenomenological studies on the underlying dynamics of charmed bayond decays.

    ACKNOWLEDGEMENTS
    • The BESIII collaboration thanks the staff of BEPCII and the IHEP computing center for their strong support. The authors are grateful to Fusheng Yu for enlightening discussions.

    APPENDIX A
    • Figures A1 and A2 show the topological diagrams of $ \Lambda_c^+ \to n\pi^+\pi^-\pi^+ $ and $ \Lambda_c^+ \to n K^-\pi^+\pi^+ $, respectively.

      Figure A1.  Topological diagrams of $\Lambda_c^+ \to n\pi^+\pi^-\pi^+$ via (a) external W-emission T, (b) internal W-emission C, (c) inner W-emission $C^{\prime}$, and (d) W-exchange diagram E.

      Figure A2.  Topological diagrams of $\Lambda_c^+ \to n K^-\pi^+\pi^+$ via (a) external W-emission T, (b) internal W-emission C, (c) W-exchange diagram E.

    APPENDIX B
    • Figures B1B6 show the fits for the $ M_{\rm{BC}} $ distributions of the ST $ \bar \Lambda^-_c $ candidates for various tag modes from the data samples at $ \sqrt s = $ 4599.53, 4611.86, 4628.00, 4640.91, 4661.24, and 4698.82 MeV, respectively.

      Figure B1.  (color online) The $ M_{\rm BC} $ distributions of the ST $ \bar \Lambda^-_c $ candidates of various tag modes for the data sample at $ \sqrt{s}=4599.53\; \mathrm{MeV} $. The points with error bars represent data. The red solid curves indicate the fit results and the blue dashed curves describe the background shapes. The ranges between green dashed lines are the signal regions.

      Figure B2.  (color online) The $ M_{\rm BC} $ distributions of the ST $ \bar \Lambda^-_c $ candidates of various tag modes for the data sample at $ \sqrt{s}=4611.86\; \mathrm{MeV} $. The points with error bars represent data. The red solid curves indicate the fit results and the blue dashed curves describe the background shapes. The ranges between green dashed lines are the signal regions.

      Figure B3.  (color online) The $ M_{\rm BC} $ distributions of the ST $ \bar \Lambda^-_c $ candidates of various tag modes for the data sample at $ \sqrt{s}=4628.00\; \mathrm{MeV} $. The points with error bars represent data. The red solid curves indicate the fit results and the blue dashed curves describe the background shapes. The ranges between green dashed lines are the signal regions.

      Figure B4.  (color online) The $ M_{\rm BC} $ distributions of the ST $ \bar \Lambda^-_c $ candidates of various tag modes for the data sample at $ \sqrt{s}=4640.91\; \mathrm{MeV} $. The points with error bars represent data. The red solid curves indicate the fit results and the blue dashed curves describe the background shapes. The ranges between green dashed lines are the signal regions.

      Figure B5.  (color online) The $ M_{\rm BC} $ distributions of the ST $ \bar \Lambda^-_c $ candidates of various tag modes for the data sample at $ \sqrt{s}=4661.24\; \mathrm{MeV} $. The points with error bars represent data. The red solid curves indicate the fit results and the blue dashed curves describe the background shapes. The ranges between green dashed lines are the signal regions.

      Figure B6.  (color online) The $ M_{\rm BC} $ distributions of the ST $ \bar \Lambda^-_c $ candidates of various tag modes for the data sample at $ \sqrt{s}=4698.82\; \mathrm{MeV} $. The points with error bars represent data. The red solid curves indicate the fit results and the blue dashed curves describe the background shapes. The ranges between green dashed lines are the signal regions.

      Tables B1B6 show the ST yields, ST and DT efficiencies for various tag modes from the data samples at $ \sqrt s = $ 4599.53, 4611.86, 4628.00, 4640.91, 4661.24, and 4698.82 MeV, respectively.

      Tag mode$ N_{i}^{\rm{ST}} $$ \varepsilon_{i}^{\rm{ST}}(\%) $$ \varepsilon_{i}^{\rm{DT}}(n\pi^+\pi^0)(\%) $$ \varepsilon_{i}^{\rm{DT}}(n\pi^{+}\pi^{-}\pi^{+})(\%) $$ \varepsilon_{i}^{\rm{DT}}(nK^{-}\pi^{+}\pi^{-})(\%) $
      $ \bar{p}{}K_{S}^0 $$ 1277\pm36 $$ 56.1 $$ 14.27 $$ 13.49 $$ 20.87 $
      $ \bar{p}{}K^{+}\pi^- $$ 6806\pm91 $$ 51.5 $$ 11.25 $$ 11.53 $$ 17.64 $
      $ \bar{p}{}K_{S}^0\pi^0 $$ 606\pm34 $$ 23.0 $$ 5.17 $$ 5.25 $$ 7.34 $
      $ \bar{p}{}K_{S}^0\pi^-\pi^+ $$ 613\pm34 $$ 23.5 $$ 4.51 $$ 4.76 $$ 6.89 $
      $ \bar{p}{}K^{+}\pi^-\pi^0 $$ 2197\pm78 $$ 20.6 $$ \cdots $$ 4.57 $$ 6.83 $
      $ \bar{\Lambda}{}\pi^- $$ 757\pm28 $$ 48.4 $$ 11.62 $$ 10.9 $$ 17.08 $
      $ \bar{\Lambda}{}\pi^-\pi^0 $$ 1742\pm56 $$ 21.6 $$ 4.52 $$ 4.43 $$ 6.42 $
      $ \bar{\Lambda}{}\pi^-\pi^+\pi^- $$ 769\pm36 $$ 15.6 $$ 2.86 $$ 2.90 $$ 4.17 $
      $ \bar{\Sigma}{}^{0}\pi^- $$ 520\pm26 $$ 29.4 $$ 7.30 $$ 6.96 $$ 11.20 $
      $ \bar{\Sigma}{}^{-}\pi^0 $$ 320\pm25 $$ 23.7 $$ 6.47 $$ 6.05 $$ 8.38 $
      $ \bar{\Sigma}{}^{-}\pi^-\pi^+ $$ 1186\pm49 $$ 25.4 $$ 5.84 $$ 5.82 $$ 8.81 $
      $ \bar{p}{}\pi^-\pi^+ $$ 598\pm47 $$ 64.3 $$ \cdots $$ \cdots $$ 22.04 $

      Table B1.  ST yields, ST and DT efficiencies of various tag modes for the data sample at $\sqrt{s}=4599.53 \,{\rm{MeV}}$. The uncertainties are statistical only. The quoted efficiencies do not include any subdecay BFs. Entries of "$ \cdots $" are for the cases where knowledge of the DT efficiencies are not required in the analysis.

      Tag mode$ N_{i}^{\rm{ST}} $$ \varepsilon_{i}^{\rm{ST}}(\%) $$ \varepsilon_{i}^{\rm{DT}}(n\pi^+\pi^0)(\%) $$ \varepsilon_{i}^{\rm{DT}}(n\pi^{+}\pi^{-}\pi^{+})(\%) $$ \varepsilon_{i}^{\rm{DT}}(nK^{-}\pi^{+}\pi^{-})(\%) $
      $ \bar{p}{}K_{S}^0 $$ 239\pm16 $$ 53.7 $$ 13.89 $$ 12.71 $$ 20.09 $
      $ \bar{p}{}K^{+}\pi^- $$ 1166\pm39 $$ 51.0 $$ 11.34 $$ 11.27 $$ 16.98 $
      $ \bar{p}{}K_{S}^0\pi^0 $$ 127\pm17 $$ 22.2 $$ 5.04 $$ 4.91 $$ 7.20 $
      $ \bar{p}{}K_{S}^0\pi^-\pi^+ $$ 106\pm16 $$ 21.9 $$ 4.35 $$ 4.33 $$ 6.04 $
      $ \bar{p}{}K^{+}\pi^-\pi^0 $$ 364\pm34 $$ 19.9 $$ \cdots $$ 4.40 $$ 6.25 $
      $ \bar{\Lambda}{}\pi^- $$ 123\pm11 $$ 46.9 $$ 11.29 $$ 10.22 $$ 15.27 $
      $ \bar{\Lambda}{}\pi^-\pi^0 $$ 302\pm23 $$ 19.8 $$ 4.34 $$ 4.17 $$ 6.08 $
      $ \bar{\Lambda}{}\pi^-\pi^+\pi^- $$ 139\pm15 $$ 13.6 $$ 2.68 $$ 2.75 $$ 3.69 $
      $ \bar{\Sigma}{}^{0}\pi^- $$ 102\pm13 $$ 26.6 $$ 6.89 $$ 6.53 $$ 8.65 $
      $ \bar{\Sigma}{}^{-}\pi^0 $$ 73\pm10 $$ 22.6 $$ 6.47 $$ 5.9 $$ 8.46 $
      $ \bar{\Sigma}{}^{-}\pi^-\pi^+ $$ 218\pm22 $$ 25.5 $$ 5.74 $$ 5.63 $$ 8.47 $
      $ \bar{p}{}\pi^-\pi^+ $$ 155\pm22 $$ 71.4 $$ \cdots $$ \cdots $$ 21.82 $

      Table B2.  ST yields, ST and DT efficiencies of various tag modes for the data sample at $ \sqrt{s}=4611.86 \,{\rm{MeV}} $. The uncertainties are statistical only. The quoted efficiencies do not include any subdecay BFs. Entries of "$ \cdots $" are for the cases where knowledge of the DT efficiencies are not required in the analysis.

      Tag mode$ N_{i}^{\rm{ST}} $$ \varepsilon_{i}^{\rm{ST}}(\%) $$ \varepsilon_{i}^{\rm{DT}}(n\pi^+\pi^0)(\%) $$ \varepsilon_{i}^{\rm{DT}}(n\pi^{+}\pi^{-}\pi^{+})(\%) $$ \varepsilon_{i}^{\rm{DT}}(nK^{-}\pi^{+}\pi^{-})(\%) $
      $ \bar{p}{}K_{S}^0 $$ 1054\pm35 $$ 51.8 $$ 13.27 $$ 12.17 $$ 18.98 $
      $ \bar{p}{}K^{+}\pi^- $$ 5886\pm39 $$ 49.2 $$ 10.98 $$ 10.97 $$ 16.77 $
      $ \bar{p}{}K_{S}^0\pi^0 $$ 616\pm36 $$ 20.7 $$ 4.94 $$ 4.79 $$ 6.73 $
      $ \bar{p}{}K_{S}^0\pi^-\pi^+ $$ 510\pm32 $$ 20.6 $$ 4.21 $$ 4.17 $$ 6.01 $
      $ \bar{p}{}K^{+}\pi^-\pi^0 $$ 1589\pm69 $$ 18.7 $$ \cdots $$ 4.32 $$ 6.95 $
      $ \bar{\Lambda}{}\pi^- $$ 675\pm28 $$ 43.2 $$ 10.69 $$ 9.84 $$ 14.72 $
      $ \bar{\Lambda}{}\pi^-\pi^0 $$ 1454\pm54 $$ 19.1 $$ 4.18 $$ 3.98 $$ 5.90 $
      $ \bar{\Lambda}{}\pi^-\pi^+\pi^- $$ 587\pm33 $$ 13.6 $$ 2.70 $$ 2.65 $$ 3.67 $
      $ \bar{\Sigma}{}^{0}\pi^- $$ 413\pm23 $$ 27.2 $$ 6.62 $$ 6.24 $$ 8.41 $
      $ \bar{\Sigma}{}^{-}\pi^0 $$ 263\pm23 $$ 23.4 $$ 6.20 $$ 5.65 $$ 9.10 $
      $ \bar{\Sigma}{}^{-}\pi^-\pi^+ $$ 994\pm20 $$ 23.6 $$ 5.54 $$ 5.47 $$ 8.24 $
      $ \bar{p}{}\pi^-\pi^+ $$ 517\pm45 $$ 61.6 $$ \cdots $$ \cdots $$ 19.75 $

      Table B3.  ST yields, ST and DT efficiencies of various tag modes for the data sample at $ \sqrt{s}=4628.00 \,{\rm{MeV}} $. The uncertainties are statistical only. The quoted efficiencies do not include any subdecay BFs.Entries of "$ \cdots $" are for the cases where knowledge of the DT efficiencies are not required in the analysis.

      Tag mode$ N_{i}^{\rm{ST}} $$ \varepsilon_{i}^{\rm{ST}}(\%) $$ \varepsilon_{i}^{\rm{DT}}(n\pi^+\pi^0)(\%) $$ \varepsilon_{i}^{\rm{DT}}(n\pi^{+}\pi^{-}\pi^{+})(\%) $$ \varepsilon_{i}^{\rm{DT}}(nK^{-}\pi^{+}\pi^{-})(\%) $
      $ \bar{p}{}K_{S}^0 $$ 1107\pm36 $$ 50.7 $$ 13.14 $$ 12.08 $$ 19.12 $
      $ \bar{p}{}K^{+}\pi^- $$ 6250\pm89 $$ 48.5 $$ 10.91 $$ 10.86 $$ 16.83 $
      $ \bar{p}{}K_{S}^0\pi^0 $$ 599\pm36 $$ 20.7 $$ 4.82 $$ 4.77 $$ 7.02 $
      $ \bar{p}{}K_{S}^0\pi^-\pi^+ $$ 522\pm33 $$ 20.8 $$ 4.21 $$ 4.15 $$ 6.50 $
      $ \bar{p}{}K^{+}\pi^-\pi^0 $$ 1632\pm70 $$ 18.1 $$ \cdots $$ 4.23 $$ 6.62 $
      $ \bar{\Lambda}{}\pi^- $$ 705\pm29 $$ 42.7 $$ 10.51 $$ 9.55 $$ 14.24 $
      $ \bar{\Lambda}{}\pi^-\pi^0 $$ 1613\pm54 $$ 19.1 $$ 4.14 $$ 3.95 $$ 5.46 $
      $ \bar{\Lambda}{}\pi^-\pi^+\pi^- $$ 745\pm36 $$ 14.2 $$ 2.70 $$ 2.67 $$ 4.20 $
      $ \bar{\Sigma}{}^{0}\pi^- $$ 445\pm25 $$ 26.2 $$ 6.43 $$ 6.09 $$ 8.97 $
      $ \bar{\Sigma}{}^{-}\pi^0 $$ 298\pm24 $$ 24.6 $$ 6.01 $$ 5.52 $$ 7.70 $
      $ \bar{\Sigma}{}^{-}\pi^-\pi^+ $$ 1077\pm49 $$ 23.4 $$ 5.43 $$ 5.38 $$ 8.01 $
      $ \bar{p}{}\pi^-\pi^+ $$ 552\pm47 $$ 59.7 $$ \cdots $$ \cdots $$ 22.97 $

      Table B4.  ST yields, ST and DT efficiencies of various tag modes for the data sample at $ \sqrt{s}=4640.91 \,{\rm{MeV}} $. The uncertainties are statistical only. The quoted efficiencies do not include any subdecay BFs. Entries of "$ \cdots $" are for the cases where knowledge of the DT efficiencies are not required in the analysis.

      Tag mode$ N_{i}^{\rm{ST}} $$ \varepsilon_{i}^{\rm{ST}}(\%) $$ \varepsilon_{i}^{\rm{DT}}(n\pi^+\pi^0)(\%) $$ \varepsilon_{i}^{\rm{DT}}(n\pi^{+}\pi^{-}\pi^{+})(\%) $$ \varepsilon_{i}^{\rm{DT}}(nK^{-}\pi^{+}\pi^{-})(\%) $
      $ \bar{p}{}K_{S}^0 $$ 1119\pm35 $$ 49.6 $$ 12.82 $$ 11.78 $$ 18.58 $
      $ \bar{p}{}K^{+}\pi^- $$ 5938\pm86 $$ 48.2 $$ 10.93 $$ 10.85 $$ 16.47 $
      $ \bar{p}{}K_{S}^0\pi^0 $$ 594\pm36 $$ 20.1 $$ 4.86 $$ 4.75 $$ 7.12 $
      $ \bar{p}{}K_{S}^0\pi^-\pi^+ $$ 537\pm33 $$ 20.2 $$ 4.29 $$ 4.17 $$ 6.27 $
      $ \bar{p}{}K^{+}\pi^-\pi^0 $$ 1700\pm73 $$ 18.1 $$ \cdots $$ 4.15 $$ 6.36 $
      $ \bar{\Lambda}{}\pi^- $$ 668\pm27 $$ 41.7 $$ 10.15 $$ 9.41 $$ 14.98 $
      $ \bar{\Lambda}{}\pi^-\pi^0 $$ 1491\pm51 $$ 18.9 $$ 4.15 $$ 3.91 $$ 5.91 $
      $ \bar{\Lambda}{}\pi^-\pi^+\pi^- $$ 780\pm36 $$ 14.1 $$ 2.71 $$ 2.63 $$ 4.04 $
      $ \bar{\Sigma}{}^{0}\pi^- $$ 454\pm25 $$ 26.3 $$ 6.56 $$ 5.94 $$ 9.20 $
      $ \bar{\Sigma}{}^{-}\pi^0 $$ 298\pm25 $$ 23.2 $$ 5.96 $$ 5.35 $$ 8.22 $
      $ \bar{\Sigma}{}^{-}\pi^-\pi^+ $$ 1066\pm49 $$ 23.2 $$ 5.48 $$ 5.34 $$ 8.04 $
      $ \bar{p}{}\pi^-\pi^+ $$ 590\pm48 $$ 60.2 $$ \cdots $$ \cdots $$ 20.06 $

      Table B5.  ST yields, ST and DT efficiencies of various tag modes for the data sample at $ \sqrt{s}=4661.24 \,{\rm{MeV}} $. The uncertainties are statistical only. The quoted efficiencies do not include any subdecay BFs. Entries of "$ \cdots $" are for the cases where knowledge of the DT efficiencies are not required in the analysis.

      Tag mode$ N_{i}^{\rm{ST}} $$ \varepsilon_{i}^{\rm{ST}}(\%) $$ \varepsilon_{i}^{\rm{DT}}(n\pi^+\pi^0)(\%) $$ \varepsilon_{i}^{\rm{DT}}(n\pi^{+}\pi^{-}\pi^{+})(\%) $$ \varepsilon_{i}^{\rm{DT}}(nK^{-}\pi^{+}\pi^{-})(\%) $
      $ \bar{p}{}K_{S}^0 $$ 958\pm33 $$ 47.5 $$ 12.29 $$ 11.25 $$ 17.86 $
      $ \bar{p}{}K^{+}\pi^- $$ 5167\pm80 $$ 46.3 $$ 10.62 $$ 10.49 $$ 16.16 $
      $ \bar{p}{}K_{S}^0\pi^0 $$ 471\pm34 $$ 18.9 $$ 4.66 $$ 4.52 $$ 6.62 $
      $ \bar{p}{}K_{S}^0\pi^-\pi^+ $$ 462\pm31 $$ 19.5 $$ 4.21 $$ 4.11 $$ 6.33 $
      $ \bar{p}{}K^{+}\pi^-\pi^0 $$ 1389\pm74 $$ 17.5 $$ \cdots $$ 4.02 $$ 6.63 $
      $ \bar{\Lambda}{}\pi^- $$ 538\pm25 $$ 39.4 $$ 9.80 $$ 8.81 $$ 13.64 $
      $ \bar{\Lambda}{}\pi^-\pi^0 $$ 1301\pm49 $$ 17.9 $$ 3.93 $$ 3.73 $$ 5.82 $
      $ \bar{\Lambda}{}\pi^-\pi^+\pi^- $$ 639\pm34 $$ 14.6 $$ 2.73 $$ 2.63 $$ 3.82 $
      $ \bar{\Sigma}{}^{0}\pi^- $$ 371\pm22 $$ 24.3 $$ 6.12 $$ 5.75 $$ 8.4 $
      $ \bar{\Sigma}{}^{-}\pi^0 $$ 251\pm24 $$ 22.2 $$ 5.62 $$ 5.18 $$ 7.90 $
      $ \bar{\Sigma}{}^{-}\pi^-\pi^+ $$ 956\pm48 $$ 22.2 $$ 5.25 $$ 5.07 $$ 8.16 $
      $ \bar{p}{}\pi^-\pi^+ $$ 459\pm47 $$ 55.9 $$ \cdots $$ \cdots $$ 19.66 $

      Table B6.  ST yields, ST and DT efficiencies of various tag modes for the data sample at $ \sqrt{s}=4698.82 \,{\rm{MeV}} $. The uncertainties are statistical only. The quoted efficiencies do not include any subdecay BFs. Entries of "$ \cdots $" are for the cases where knowledge of the DT efficiencies are not required in the analysis.

Reference (44)

目录

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return