一种用于降低 XENON1T 中氪与氩的在线蒸馏方法的应用与建模
仪器与探测器
2022-06-15 v2 高能物理 - 实验
摘要
为 XENON1T 暗物质实验开发了一种新颖的在线蒸馏技术，以在探测器运行期间减少比氙更易挥发的本底成分，例如氪或氩。该方法基于使用 XENON1T 低温蒸馏柱对探测器系统的气体体积进行连续纯化。实现了氙中氪浓度 ppq。这是迄今为止在运行中的暗物质探测器 fiducial volume（灵敏体积）内测得的最低浓度。我们开发了一个模型并拟合数据，以描述在 550 天时间跨度内、包括 XENON1T 的调试与科学运行在内的若干运行模式下，探测器系统液体与气体体积中的氪演化。该在线蒸馏还成功应用于在 XENON1T 中注入 Ar-37 进行低能刻度后去除 Ar-37。这使得未来将 Ar-37 作为常规刻度源使用成为可能。该在线蒸馏可应用于下一代实验，以在任何科学运行之前或期间去除氪。此处开发的模型允许对未来大规模探测器的蒸馏策略进行进一步优化。
引用
@article{arxiv.2112.12231,
title = {Application and modeling of an online distillation method to reduce krypton and argon in XENON1T},
author = {E. Aprile and K. Abe and F. Agostini and S. Ahmed Maouloud and M. Alfonsi and L. Althueser and E. Angelino and J. R. Angevaare and V. C. Antochi and D. Antón Martin and F. Arneodo and L. Baudis and A. L. Baxter and L. Bellagamba and A. Bernard and R. Biondi and A. Bismark and A. Brown and S. Bruenner and G. Bruno and R. Budnik and C. Capelli and J. M. R. Cardoso and D. Cichon and B. Cimmino and M. Clark and A. P. Colijn and J. Conrad and J. J. Cuenca-García and J. P. Cussonneau and V. D'Andrea and M. P. Decowski and P. Di Gangi and S. Di Pede and A. Di Giovanni and R. Di Stefano and S. Diglio and A. Elykov and S. Farrell and A. D. Ferella and H. Fischer and S. Form and W. Fulgione and P. Gaemers and R. Gaior and M. Galloway and F. Gao and R. Glade-Beucke and L. Grandi and J. Grigat and A. Higuera and C. Hils and K. Hiraide and L. Hoetzsch and J. Howlett and C. Huhmann and M. Iacovacci and Y. Itow and J. Jakob and F. Joerg and N. Kato and P. Kavrigin and S. Kazama and M. Kobayashi and G. Koltman and A. Kopec and H. Landsman and R. F. Lang and L. Levinson and I. Li and S. Liang and S. Lindemann and M. Lindner and K. Liu and F. Lombardi and J. Long and J. A. M. Lopes and Y. Ma and C. Macolino and J. Mahlstedt and A. Mancuso and L. Manenti and A. Manfredini and F. Marignetti and T. Marrodán Undagoitia and K. Martens and J. Masbou and D. Masson and E. Masson and S. Mastroianni and M. Messina and K. Miuchi and K. Mizukoshi and A. Molinario and S. Moriyama and K. Morå and Y. Mosbacher and M. Murra and K. Ni and U. Oberlack and J. Palacio and R. Peres and J. Pienaar and M. Pierre and V. Pizzella and G. Plante and J. Qi and J. Qin and D. Ramírez García and S. Reichard and A. Rocchetti and N. Rupp and L. Sanchez and J. M. F. dos Santos and G. Sartorelli and J. Schreiner and D. Schulte and H. Schulze Eißing and M. Schumann and L. Scotto Lavina and M. Selvi and F. Semeria and P. Shagin and E. Shockley and M. Silva and H. Simgen and A. Takeda and P. -L. Tan and A. Terliuk and C. Therreau and D. Thers and F. Toschi and G. Trinchero and C. Tunnell and F. Tönnies and K. Valerius and G. Volta and Y. Wei and C. Weinheimer and M. Weiss and D. Wenz and J. Westermann and C. Wittweg and T. Wolf and Z. Xu and M. Yamashita and L. Yang and J. Ye and L. Yuan and G. Zavattini and Y. Zhang and M. Zhong and T. Zhu and J. P. Zopounidis},
journal= {arXiv preprint arXiv:2112.12231},
year = {2022}
}