We present Sengi, (https://christopherlovell.github.io/sengi), an online tool for viewing the spectral outputs of stellar population synthesis (SPS) codes. Typical SPS codes require significant disk space or computing resources to produce spectra for simple stellar populations with arbitrary parameters. This makes it difficult to present their results in an interactive, web-friendly format. Sengi uses Non-negative Matrix Factorisation (NMF) and bilinear interpolation to estimate output spectra for arbitrary values of stellar age and metallicity. The reduced disk requirements and computational expense allows the result to be served as a client-based Javascript application. In this paper we present the method for generating grids of spectra, fitting those grids with NMF, bilinear interpolation across the fitted coefficients, and finally provide estimates of the prediction and interpolation errors.

我们介绍了Sengi（https://christopherlovell.github.io/sengi），这是一个在线工具，可用于查看恒星种群合成（SPS）代码的频谱输出。典型的SPS代码需要大量磁盘空间或计算资源才能生成具有任意参数的简单恒星种群的光谱。这使得很难以交互式，对Web友好的格式显示结果。千木使用非负矩阵分解（NMF）和双线性插值法估算恒星时代和金属性的任意值的输出光谱。减少的磁盘需求和计算费用使结果可用作基于客户端的Javascript应用程序。在本文中，我们介绍了生成光谱网格，使用NMF拟合这些网格，跨拟合系数进行双线性插值的方法，最后提供了预测误差和插值误差的估计。