Extracting Star Formation Histories from Medium-resolution Galaxy   Spectra
  We adapt an existing data compression algorithm, MOPED, to the extraction of median-likelihood star formation (SF) histories from medium-resolution galaxy spectra. By focusing on the high-pass components of galaxy spectra, we minimize potential uncertainties arising from the spectro-photometric calibration and intrinsic attenuation by dust. We validate our approach using model high-pass spectra of galaxies with different SF histories covering the wavelength range 3650-8500 A at a resolving power of about 2000. We show that the method can recover the full SF histories of these models, without prior knowledge of the metallicity, to within an accuracy that depends sensitively on signal-to-noise ratio. The investigation of the sensitivity of the flux at each wavelength to the mass fraction of stars of different ages allows us to identify new age-sensitive features in galaxy spectra. We also highlight a fundamental limitation in the recovery of the SF histories of galaxies for which the optical signatures of intermediate-age stars are masked by those of younger and older stars. We apply this method to derive average SF histories from the highest-quality spectra of morphologically identified early- and late-type galaxies in the SDSS EDR [...]. We also investigate the constraints set by the high-pass signal in the stacked spectra of a magnitude-limited sample of SDSS-EDR galaxies on the global SF history of the Universe. We confirm that the stellar populations in the most massive galaxies today appear to have formed on average earlier than those in the least massive ones. Our results do not support the recent suggestion of a statistically significant peak in the SF activity of the Universe at redshifts below unity, although such a peak is not ruled out [abridged]. 
Hugues Mathis, Stephane Charlot and Jarle Brinchmann