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

Sengi: a small, fast, interactive viewer for spectral outputs from stellar population synthesis models