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Costantin, L. Morelli, L. P. Cassar\\`a, L. Pozzetti, M. Balcells, M. Bianconi, M. Bolzonella, M. Fossati, M. Gullieuszik, M. Longhetti, M. Talia, O. Cucciati, P. Merluzzi, P. S\\'anchez-Bl\\'azquez, R. Garc\\'ia-Benito, R.M. Gonz\\'alez Delgado, R. Ragusa, S. Bardelli, S. C. Trager, S. Jin, S. McGee, S. Zibetti","submitted_at":"2024-06-17T17:04:08Z","abstract_excerpt":"The WHT Enhanced Area Velocity Explorer (WEAVE) is a new, massively multiplexing spectrograph. This new instrument will be exploited to obtain high S/N spectra of $\\sim$25000 galaxies at intermediate redshifts for the WEAVE Stellar Population Survey (WEAVE-StePS). We test machine learning methods for retrieving the key physical parameters of galaxies from WEAVE-StePS-like spectra using both photometric and spectroscopic information at various S/Ns and redshifts. 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