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arXiv 0908.0534astro-ph.COhep-ph
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变质量中微子方案的模型无关约束

Model independent constraints on mass-varying neutrino scenarios

Urbano Franca, Massimiliano Lattanzi, Julien Lesgourgues, Sergio Pastor

摘要:

在暗能量模型中,中微子与被认为是宇宙加速的原因的标量场相互作用,通常意味着中微子质量在宇宙学时间尺度上的变化。在这项工作中,我们提出了一个参数化的中微子质量的变化,捕捉这些情况下的要点,并允许约束它们在一个独立的方式,也就是说,不诉诸于任何特定的标量场模型。利用WMAP 5年的观测资料,结合SDSS和2dFGRS的物质功率谱,得到中微子质量的极限值为$m_0 \equiv m_ν(z=0) < 0.43 (0.28)$ eV(95% C. L)。对于过去中微子质量较轻(较重)的情况,这一结果与对标准中微子施加的结果(即,常数质量)中微子。此外,对于中微子质量$Δm_ν$的质量变化与当前质量$m_0$的质量变化的比值,我们发现在95%C. L.对于$Δm_ν < 0 (Δm_ν > 0)$,与无质量变化完全一致。这些严格的质量变化的界限是不相关的中微子自由流的历史,可能会影响小尺度上的物质功率谱。相反,它们是由中微子和暗能量成分之间任何显著的能量转移都会导致不稳定性这一事实强加的,这与CMB和最大可观测尺度上的大尺度结构数据相矛盾。

英文摘要:

Models of dark energy in which neutrinos interact with the scalar field supposed to be responsible for the acceleration of the universe usually imply a variation of the neutrino masses on cosmological time scales. In this work we propose a parameterization for the neutrino mass variation that captures the essentials of those scenarios and allows to constrain them in a model independent way, that is, without resorting to any particular scalar field model. Using WMAP 5yr data combined with the matter power spectrum of SDSS and 2dFGRS, the limit on the present value of the neutrino mass is $m_0 \equiv m_ν(z=0) < 0.43 (0.28)$ eV at 95% C.L. for the case in which the neutrino mass was lighter (heavier) in the past, a result competitive with the ones imposed for standard (i.e., constant mass) neutrinos. Moreover, for the ratio of the mass variation of the neutrino mass $Δm_ν$ over the current mass $m_0$ we found that $\log[|Δm_ν|/m_0] < -1.3 (-2.7)$ at 95% C.L. for $Δm_ν < 0 (Δm_ν > 0)$, totally consistent with no mass variation. These stringent bounds on the mass variation are not related to the neutrino free-streaming history which may affect the matter power spectrum on small scales. On the contrary, they are imposed by the fact that any significant transfer of energy between the neutrino and dark energy components would lead to an instability contradicting CMB and large scale structure data on the largest observable scales.

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