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MAx is a new tool to estimate parameters from stellar spectra. It is based onthe maximum likelihood method, with the likelihood compressed in a way that theinformation stored in the spectral fluxes is conserved. The compressed data aregiven by the size of the number of parameters, rather than by the number offlux points. The optimum speed-up reached by the compression is the ratio ofthe data set to the number of parameters. The method has been tested on asample of low-resolution spectra from the Sloan Extension for GalacticUnderstanding and Exploration (SEGUE) survey for the estimate of metallicity,effective temperature and surface gravity, with accuracies of 0.24 dex, 130Kand 0.5 dex, respectively. Our stellar parameters and those recovered by theSEGUE Stellar Parameter Pipeline agree reasonably well. A small sample ofhigh-resolution VLT-UVES spectra were also used to test the method and theresults have been compared to a more classical approach. The speed andmulti-resolution capability of MAx combined with its performance compared withother methods indicates that it will be a useful tool for the analysis ofupcoming spectral surveys.

Stellar atmosphere parameters with MAx, a MAssive compression of x^2 for spectral fitting