标题： Sunyaev-Zel'dovich聚类在多波段 bolometer 相机巡天中的重建 显示英文标题

标题： Sunyaev-Zel'dovich clusters reconstruction in multiband bolometer camera surveys

摘要： 我们提出了一种新的方法，用于未来利用多波段 bolometer 相机（如 Olimpo、APEX 或 Planck）进行的 SZ 巡天实验中重建 Sunyaev-Zel'dovich (SZ) 星系团。我们的目标是优化从观测到的噪声地图中提取 SZ 星系团。需要强调的是，检测链中使用的算法均未针对 SZ 星系团信号或其他天体物理源（光学谱、噪声协方差矩阵或 SZ 星系团小波系数协方差）进行调整。首先，使用独立成分分析 (ICA) 方法对观测中贡献的不同天体物理成分进行盲分离。然后，采用基于多尺度熵和错误发现率 (FDR) 方法的小波域非线性滤波技术来检测和重建星系团。最后，使用 Source Extractor 软件识别检测到的星系团。该方法已在观测的现实模拟数据上进行了应用。就整体检测效率而言，这种方法令人印象深刻，因为它提供的结果与 Pierpaoli 等人的方法相当，但该方法是一种盲算法。完整分辨率图的预印本可通过以下网址获取：w10-dapnia.saclay.cea.fr/Phocea/Vie_des_labos/Ast/ast_visu.php?id_ast=728 显示英文摘要

摘要： We present a new method for the reconstruction of Sunyaev-Zel'dovich (SZ) galaxy clusters in future SZ-survey experiments using multiband bolometer cameras such as Olimpo, APEX, or Planck. Our goal is to optimise SZ-Cluster extraction from our observed noisy maps. We wish to emphasize that none of the algorithms used in the detection chain is tuned on prior knowledge on the SZ -Cluster signal, or other astrophysical sources (Optical Spectrum, Noise Covariance Matrix, or covariance of SZ Cluster wavelet coefficients). First, a blind separation of the different astrophysical components which contribute to the observations is conducted using an Independent Component Analysis (ICA) method. Then, a recent non linear filtering technique in the wavelet domain, based on multiscale entropy and the False Discovery Rate (FDR) method, is used to detect and reconstruct the galaxy clusters. Finally, we use the Source Extractor software to identify the detected clusters. The proposed method was applied on realistic simulations of observations. As for global detection efficiency, this new method is impressive as it provides comparable results to Pierpaoli et al. method being however a blind algorithm. Preprint with full resolution figures is available at the URL: w10-dapnia.saclay.cea.fr/Phocea/Vie_des_labos/Ast/ast_visu.php?id_ast=728