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arXiv 2109.12893physics.acc-phhep-ex
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AWAKE实验中质子束团参数的分析

Analysis of Proton Bunch Parameters in the AWAKE Experiment

V. Hafych, A. Caldwell, R. Agnello, C. C. Ahdida, M. Aladi, M. C. Amoedo Goncalves, Y. Andrebe, O. Apsimon, R. Apsimon, A. -M. Bachmann, M. A. Baistrukov, F. Ba… 展开作者

V. Hafych, A. Caldwell, R. Agnello, C. C. Ahdida, M. Aladi, M. C. Amoedo Goncalves, Y. Andrebe, O. Apsimon, R. Apsimon, A. -M. Bachmann, M. A. Baistrukov, F. Batsch, M. Bergamaschi, P. Blanchard, P. N. Burrows, B. Buttenschön, J. Chappell, E. Chevallay, M. Chung, D. A. Cooke, H. Damerau, C. Davut, G. Demeter, A. Dexter, S. Doebert, J. Farmer, A. Fasoli, V. N. Fedosseev, R. Fiorito, R. A. Fonseca, I. Furno, S. Gessner, A. A. Gorn, E. Granados, M. Granetzny, T. Graubner, O. Grulke, E. Gschwendtner, E. D. Guran, J. R. Henderson, M. Hüther, M. Á. Kedves, V. Khudyakov, S. -Y. Kim, F. Kraus, M. Krupa, T. Lefevre, L. Liang, N. Lopes, K. V. Lotov, S. Mazzoni, D. Medina Godoy, J. T. Moody, K. Moon, P. I. Morales Guzmán, M. Moreira, T. Nechaeva, E. Nowak, C. Pakuza, H. Panuganti, A. Pardons, A. Perera, J. Pucek, A. Pukhov, B. Ráczkevi, R. L. Ramjiawan, S. Rey, O. Schmitz, E. Senes, L. O. Silva, C. Stollberg, A. Sublet, A. Topaloudis, N. Torrado, P. V. Tuev, M. Turner, F. Velotti, L. Verra, J. Vieira, H. Vincke, C. P. Welsch, M. Wendt, M. Wing, J. Wolfenden, B. Woolley, G. Xia, M. Zepp, G. Zevi Della Porta

摘要:

在先进尾场实验(AWAKE)中,为了精确地模拟自调制过程,需要对入射质子束团参数进行精确的表征。本文提出了一种分析的参数的传入质子束在后期阶段的唤醒运行1数据采集期。束团的横向结构是在多个位置观察沿光束线使用闪烁或光学过渡辐射屏幕。采用贝叶斯推断法拟合了描述束团横向尺寸和发散度的模型参数,以表示观测数据。模拟数据的分析进行了测试,然后应用到实验数据。

英文摘要:

A precise characterization of the incoming proton bunch parameters is required to accurately simulate the self-modulation process in the Advanced Wakefield Experiment (AWAKE). This paper presents an analysis of the parameters of the incoming proton bunches used in the later stages of the AWAKE Run 1 data-taking period. The transverse structure of the bunch is observed at multiple positions along the beamline using scintillating or optical transition radiation screens. The parameters of a model that describes the bunch transverse dimensions and divergence are fitted to represent the observed data using Bayesian inference. The analysis is tested on simulated data and then applied to the experimental data.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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