DAMA/LIBRA-phase2 in WIMP effective models
DAMA/LIBRA-phase2 in WIMP effective models
复制标题
WIMP 有效模型中的 DAMA/LIBRA-phase2
DOI：
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发表时间：
2018
影响因子：
6.4
通讯作者：
Jong
中科院分区：
文献类型：
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作者：
Sunghyun Kang;S. Scopel;G. Tomar;Jong
DAMA/LIBRA合作最近发布了他们在NaI探测器中寻找暗物质（DM）散射预期的年度调制信号的最新结果。我们已经拟合了更新的DAMA结果的调制振幅的弱相互作用大质量粒子（WIMP）信号，参数化的最一般的有效拉格朗日的WIMP粒子自旋1/2，系统地假设占主导地位的14个可能的相互作用项之一，并假设为WIMP速度分布的标准麦克斯韦与核的相互作用。我们发现，大多数的非相对论性的有效哈密顿量的耦合可以提供一个更好的拟合相比，标准的自旋无关的相互作用的情况下，并减少微调的三个参数（WIMP质量，WIMP-核子有效截面和WIMP-中子和WIMP-质子耦合之间的比率）。此外，由于调制幅度的不同相位，与标准的速度无关横截面相比，横截面明确地取决于WIMP入射速度的有效模型可以在m X的大值处提供DAMA数据的更好拟合。所有最佳拟合解决方案都与XENON 1 T和PICO 60的排除图存在张力。
The DAMA/LIBRA collaboration has recently released updated results from their search for the annual modulation signal expected from Dark Matter (DM) scattering in their NaI detectors. We have fitted the updated DAMA result for the modulation amplitudes in terms of a Weakly Interacting Massive Particle (WIMP) signal, parameterizing the interaction with nuclei in terms of the most general effective Lagrangian for a WIMP particle spin up to 1/2, systematically assuming dominance of one of the 14 possible interaction terms, and assuming for the WIMP velocity distribution a standard Maxwellian. We find that most of the couplings of the non-relativistic effective Hamiltonian can provide a better fit compared to the standard Spin Independent interaction case, and with a reduced fine-tuning of the three parameters (WIMP mass, WIMP-nucleon effective cross-section and ratio between the WIMP-neutron and the WIMP-proton couplings). Moreover, effective models for which the cross section depends explicitly on the WIMP incoming velocity can provide a better fit of the DAMA data at large values of mχ compared to the standard velocity-independent cross-section due to a different phase of the modulation amplitudes. All the best fit solutions are in tension with exclusion plots of both XENON1T and PICO60.
XENON100 数据 225 天的暗物质结果
影响因子：
8.6
作者：
Aprile, E.;Alfonsi, M.;Weinheimer, C.
通讯作者：
Weinheimer, C.
影响因子：
8.6
作者：
Angle, J.;Aprile, E.;Yamashita, M.
通讯作者：
Yamashita, M.