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arXiv 2607.04441hep-phhep-ex
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在DUNE中探测嗜中微子长程力

Probing Neutrinophilic Long-Range Forces at DUNE

Harish-Chandra Research Institute(哈里什-钱德拉研究所);Homi Bhabha National Institute(霍米·巴巴国立学院)

Sudip Jana, Pragyanprasu Swain

AI总结:

研究通过暗中微子门户场景,将中微子质量产生与新规范对称下的轻暗区联系,探索DUNE对相关超远程相互作用的敏感性,表明其能进入未探索参数空间,耦合可致中微子自相互作用且与现有约束一致。

摘要:

中微子振荡为超出标准模型的物理提供有力证据,中微子的弱相互作用使其成为新相互作用和隐藏扇区的有力探针。本文研究暗中微子门户场景,其中中微子质量产生与在新的U(1)_D规范对称下带电的轻暗区相关联。虽然标准模型场在U(1)_D下保持中性,但暗中微子区带电并仅通过有源-暗中微子混合与标准模型通信。相关的嗜中微子介质会引起超长程相互作用,地球、月球、太阳、银河系和宇宙物质分布中的电子和中子会产生相当大的物质势,从而改变中微子振荡。我们探索即将进行的深层地下中微子实验(DUNE)的敏感性,其长基线和明显的物质效应使其特别适合探测此类相互作用。我们表明,DUNE可以进入以前未探索的参数空间区域,并证明相同的潜在耦合可以同时产生相当大的中微子自相互作用,包括与缓解哈勃张力相关的区域,同时与当前的中微子振荡约束保持一致。

英文摘要:

Neutrino oscillations provide compelling evidence for physics beyond the Standard Model, while the weakly interacting nature of neutrinos makes them powerful probes of new interactions and hidden sectors. In this work, we investigate a \textit{dark neutrino portal} scenario in which neutrino mass generation is linked to a light dark sector charged under a new $U(1)_D$ gauge symmetry. While Standard Model fields remain neutral under $U(1)_D$, the dark neutrino sector is charged and communicates with the Standard Model exclusively through active--dark neutrino mixing. The associated neutrinophilic mediator induces ultra-long-range interactions, whereby electrons and neutrons in the Earth, Moon, Sun, Milky Way, and the cosmological matter distribution generate sizable matter potentials that modify neutrino oscillations. We explore the sensitivity of the upcoming Deep Underground Neutrino Experiment (DUNE), whose long baseline and pronounced matter effects make it uniquely suited to probe such interactions. We show that DUNE can access previously unexplored regions of parameter space and demonstrate that the same underlying coupling can simultaneously give rise to sizable neutrino self-interactions, including regions relevant for alleviating the Hubble tension, while remaining consistent with current neutrino oscillation constraints.

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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