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PACT

机译:协议

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We present the optimal reconstruction of the thermal Sunyaev–Zel’dovich (tSZ) effect signal based on the combination of a heterogeneous dataset consisting of Atacama Cosmology Telescope (ACT) and Planck data, with different numbers of channels, angular resolutions, and noise levels. We combine both datasets using two different approaches, a matched multifilter (MMF) technique and an optimized internal linear combination (ILC). We show that when applying the MMF to the combination of ACT and Planck data, the size-flux degeneracy is reduced and the signal-to-noise of clusters detected with their Sunyaev–Zel’dovich (SZ) signal improves by up to a factor of three. In the case of the optimized ILC method, we show that the tSZ map is reconstructed with a resolution of ~1.5 arcmin. This is more than a factor two improvement compared with the Planck resolution, and with a very good control of noise, meaning that it is limited only by the intrinsic noise of the individual experiments. The combination of ACT and Planck data offers a unique opportunity to improve on the study of the pressure profiles and to study substructure in clusters through their tSZ.
机译:我们基于由阿塔卡马宇宙望远镜(ACT)和普朗克数据组成的异构数据集的组合,结合不同数量的通道,角度分辨率和噪声水平,提出了对Sunyaev-Zel'dovich热(tSZ)效应信号的最佳重构。我们使用两种不同的方法来组合这两个数据集:匹配多过滤器(MMF)技术和优化的内部线性组合(ILC)。我们表明,将MMF应用于ACT和Planck数据的组合时,大小通量简并性降低,并且用其Sunyaev-Zel'dovich(SZ)信号检测到的簇的信噪比提高了一个因子三。在优化的ILC方法的情况下,我们显示tSZ映射以约1.5 arcmin的分辨率重建。与Planck分辨率相比,这不仅提高了两倍,而且对噪声的控制非常好,这意味着它仅受单个实验的固有噪声限制。 ACT和Planck数据的结合提供了一个独特的机会,可以改进对压力剖面的研究,并通过tSZ研究团簇的子结构。

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