Improving cross-identification of galaxies using their photometry
Improving cross-identification of galaxies using their photometry
复制标题
使用光度测量改进星系的交叉识别
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
L. Sarro
中科院分区：
文献类型：
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作者：
M. J. Marquez;T. Budavári;L. Sarro
用不同的仪器在不同的曝光下识别相同的天体是一个基本而困难的问题，由于其统计和计算的复杂性，人们长期以来一直在研究这个问题。我们通常考虑探测的天体坐标来决定它们是否属于同一个物体，但是当多个匹配配置具有相似的可能性时，拥挤的区域通常会产生退化情况。我们应用贝叶斯推理，通过包括光度测量来缓解这个问题。将候选关联的光谱能量分布与模型进行比较，以测试光度证据是否指向良好匹配。我们讨论了模拟数据和COSMOS星表的初步结果。
The identification of the same astronomical objects in different exposures taken with different instruments is a fundamental but difficult problem, which has long been studied for its statistical and computational complexity. We typically consider the celestial coordinates of detections to decide whether they belong to the same object, but crowded areas often yield degenerate cases when multiple matching configurations have similar likelihoods. We applied Bayesian inference to alleviate the problem by including photometric measurements. The spectral energy distribution of a candidate association is compared with models to test whether the photometric evidence points toward a good match or not. We discuss our preliminary results from simulated data and the COSMOS catalog.