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arXiv 0806.3597hep-phastro-ph
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费米加速环境中的Kaluza-Klein污染

Kaluza-Klein Contamination in Fermi Accelerated Environments

Cong-Xin Qiu

摘要:

新物理学的天体物理约束通常限于弱相互作用的轻粒子,如轴子,ADD模型的卡鲁扎-克莱因(KK)引力子,无菌中微子和非粒子。我们讨论了天体物理方案的可能性,以(DIS)确认新的物理超过TeV的能量尺度的重粒子。在我们的假设中,宇宙额外维度(UED)框架内的KK质子(质子中的KK激发夸克/胶子)是由费米加速环境中的高能p + p碰撞产生的,质子各向同性谱d N / d E \propto E^-2至少达到10 ^18 eV。因此,由于它们也是带电的,它们应该通过类似于正常质子的机制重新加速。对于一定的能量E(在适当的假设范围内),KK态(不管它们是否已经衰变为最轻的KK粒子)应该会污染10^-5 ~ 10^-2的宇宙射线事件。因此,如果我们有技术从空气簇射数据中识别它们,我们就可以限制UED场景。我们的方法是一个“存在性证明”,我们可以限制新的物理超过TeV规模或更高的经典天体物理方案,这也可以推广到超对称模型,散装标准模型领域内的RS模型,和层出不穷的新模型。此外,它还可以利用在陆地实验中不可能研究的领域。

英文摘要:

Astrophysical constraints of new physics are often limited to weakly interacting light particles, such as axions, the Kaluza-Klein (KK) gravitons from the ADD model, sterile neutrinos and unparticles. We discuss the possibility for an astrophysical scenario to (dis)confirm new physics for heavy particles beyond TeV energy scale. In our scenario, the KK protons (the KK excited quarks/gluons within protons) within the framework of universal extra dimensions (UEDs), are produced by high energy p + p collisions in Fermi accelerated environments, with protonic isotropic spectrum d N / d E \propto E^-2 up to at least 10^18 eV. Thus, because they are also electrically charged, they should be re-accelerated by mechanism similar to normal protons. The KK states (no matter whether they have already decayed to the lightest KK particle or not) should contaminate 10^-5 to 10^-2 of cosmic-ray events for some fixed energy E (within some suitable assumptions). Hence, if we have techniques to identify them from air shower data, we can constrain UEDs scenario. Our method is an "existence proof" that we can constrain new physics beyond TeV scale or much higher by classical astrophysical scenarios, which can also be generalized to supersymmetric models, the bulk Standard Model fields within the RS model, and the endlessly emerging new models. Moreover, it can exploit domains which have no possibility to be studied in terrestrial experiments.

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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