论文标题

与Sunyaev-Zeldovich Full Bispectrum打破变性

Breaking degeneracies with the Sunyaev-Zeldovich full bispectrum

论文作者

Ravenni, Andrea, Rizzato, Matteo, Radinović, Slađana, Liguori, Michele, Lacasa, Fabien, Sellentin, Elena

论文摘要

Thermal Sunyaev-Zeldovich(TSZ)效应的非高斯(NG)统计量具有重要的信息,这些信息不包含在功率谱中。在这里,我们对TSZ功率谱和双光谱进行了联合渔民分析,以验证整个双光谱可以有助于改善参数约束的程度。我们在几个方面都超越了对此类研究的类似研究:首先,我们在分析中包括完整的功率谱和双光谱(自动和交叉)协方差,计算所有NG贡献;此外,我们考虑了一个多组分的前景场景,并模拟了预测中组件分离的效果。最后,我们考虑了一组扩展的宇宙学和群集内培养基参数。我们表明,TSZ Biseptrum在打破参数变性方面非常有效,这使得与TSZ功率谱相比,它能够产生更强的宇宙学约束:例如$σ_8$上的标准偏差从$σ^\ text {ps}(σ_8)= 0.35 $ to $σ^\ text {bs}(σ_8)= 0.065 $时,当我们考虑多参数分析时。我们发现这主要是由于单独的三角形类型(例如等边和挤压)对模型参数变化的不同响应。虽然弱,但这种形状依赖性显然是宇宙学参数的不可忽略的,并且正如预期的那样,对于群集内培养基参数,它甚至更强。

Non-Gaussian (NG) statistics of the thermal Sunyaev-Zeldovich (tSZ) effect carry significant information which is not contained in the power spectrum. Here, we perform a joint Fisher analysis of the tSZ power spectrum and bispectrum to verify how much the full bispectrum can contribute to improve parameter constraints. We go beyond similar studies of this kind in several respects: first of all, we include the complete power spectrum and bispectrum (auto- and cross-) covariance in the analysis, computing all NG contributions; furthermore we consider a multi-component foreground scenario and model the effects of component separation in the forecasts; finally, we consider an extended set of both cosmological and intra-cluster medium parameters. We show that the tSZ bispectrum is very efficient at breaking parameter degeneracies, making it able to produce even stronger cosmological constraints than the tSZ power spectrum: e.g. the standard deviation on $σ_8$ shrinks from $σ^\text{PS}(σ_8)=0.35$ to $σ^\text{BS}(σ_8)=0.065$ when we consider a multi-parameter analysis. We find that this is mostly due to the different response of separate triangle types (e.g. equilateral and squeezed) to changes in model parameters. While weak, this shape dependence is clearly non-negligible for cosmological parameters, and it is even stronger, as expected, for intra-cluster medium parameters.

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