The increasing sensitivity of modern sky surveys allow ever fainter emissions of light to be detected, but it also increases the chances of noticeable overlap between multiple sources of light, a phenomenon called blending. The consequences of blending are expected to be among the leading systematic measurement uncertainties of future surveys, such as the Legacy Survey of Space and Time. This Perspective discusses two main approaches to addressing blending: attempting to separate individual sources and statistically correcting for the presence of blending at the population level. For both approaches, simultaneous access to data of multiple surveys will be critical to construct a joint data set that combines the strengths of each individual survey.

现代天空勘测的灵敏度越来越高，可以检测到更微弱的光发射，但它也增加了多个光源之间明显重叠的机会，这种现象称为混合。混合的后果预计将成为未来调查的主要系统测量不确定性之一，例如空间和时间的遗产调查。本视角讨论了解决混合问题的两种主要方法：尝试分离各个来源，并在人口层面对混合的存在进行统计校正。对于这两种方法，同时访问多个调查的数据对于构建结合每个单独调查优势的联合数据集至关重要。