X-SORTER（X射线观测红mapper中合并团簇）：12个光学选定星系团合并候选人的X射线和光谱学特征
X-SORTER (X-ray Survey Of meRging clusTErs in Redmapper): X-ray and Spectroscopic Characterization of 12 Optically Selected Galaxy Cluster Merger Candidates
AI总结：
通过光学指标识别红mapper团簇中的合并系统，并利用X射线和光谱学观测揭示暗物质相互作用和团簇演化。
摘要：
合并的星系团为暗物质相互作用提供了独特的探测手段，通过星系、星团际介质和暗物质晕之间的空间偏移。二元系统、接近天空平面以及在首次过近距后观测的系统，为暗物质自相互作用截面提供了最清晰的约束。X-SORTER（X射线观测红mapper中合并团簇）项目旨在利用红mapper星团目录中的光学二元性指标系统地识别此类合并，随后对有潜力的候选者进行X射线和光谱学观测。我们选择了质量大的星团，其中顶部红mapper最亮星系（BCG）概率低于0.98，顶部两个BCG之间至少相隔0.95弧分，且光学 richness 超过 lambda = 120。我们展示了十二个没有先前XMM-Newton或Chandra存档数据的星团的XMM和Keck/DEIMOS观测结果。X射线数据表明，大多数目标在形态上受到扰动，其中几个明显的过近距后解体系统显示出在BCG之间的X射线峰值。光谱学确认了星团成员资格，并排除了前景或背景污染。这些结果共同表明，光学BCG特性提供了一种有效识别动态活跃星团的方法，包括适合详细多波段研究暗物质和星团演化的清洁解体合并系统。
英文摘要：
Merging galaxy clusters offer a unique probe of dark matter (DM) interactions through the spatial offsets between galaxies, the intracluster medium, and the DM halo. Systems that are binary, near the plane of the sky, and observed shortly after first pericenter provide the cleanest constraints on the DM self-interaction cross-section. The X-SORTER (X-ray Survey Of meRging clusTErs in redMaPPer) program aims to systematically identify such mergers using optical indicators of binarity in the redMaPPer cluster catalog and to follow up promising candidates with X-ray and spectroscopic observations. We select massive clusters where the top redMaPPer brightest cluster galaxy (BCG) probability is below 0.98, the top two BCGs are separated by at least 0.95 arcmin, and the optical richness exceeds $λ= 120$. We present XMM and Keck/DEIMOS observations of twelve clusters with no previous XMM-Newton or Chandra archival data meeting these criteria. The X-ray data reveal that most targets are morphologically disturbed, with several clear post-pericenter, dissociative systems exhibiting X-ray peaks between the BCGs. Spectroscopy confirms cluster membership and rules out foreground or background contamination. Together, these results demonstrate that optical BCG properties provide an efficient means of identifying dynamically active clusters, including clean dissociative mergers suitable for detailed, multi-wavelength studies of dark matter and cluster evolution.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
