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Table · dataset · 2025

Local galaxies scaling relations

Listed in IVOA Registry (Virtual Observatory)

Local galaxies follow scaling relations between mass and stellar population properties, such as age and metallicity.

Description

These relations encode fundamental information about the past evolutionary history of galaxies. We want to revise stellar population scaling relations of local galaxies leveraging the largest spectroscopic dataset provided by the SDSS DR7 (0.005<z<0.22) and using improved Stellar Population Synthesis (SPS) methods and novel SDSS aperture bias corrections.

We apply statistical weights to account for selection biases and implement corrections for SDSS fibre aperture limitations. In a Bayesian framework, we estimate stellar masses, mean stellar ages, and mean stellar metallicities by comparing spectral indices and photometry with composite stellar population models, adopting state-of-the-art ingredients and updated prescriptions to better capture the complexity of galaxies star formation and chemical enrichment histories.

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We also test different models and priors. We estimate light-weighted mean stellar ages for 354977 galaxies (SNR>=10) and metallicities for 89,852 galaxies (SNR>=20) and study their dependence on stellar mass. Key findings include: i) A revised bimodal distribution in the mass-age plane, with a young sequence (dominant at low masses) and an old sequence (dominant at high masses), partly overlapping in mass and transitioning at M_tr_=10^10.80^M_{sun}_. ii) A Mass-Metallicity Relation (MZR) shifted ~0.2dex higher than previous studies.

Our aperture corrections produce mass-dependent reductions in masses, ages, and metallicities, enhancing the young sequence and steepening the MZR at low masses. iii) Using Halpha-based SFR classification, we found that while star-forming/young and quiescent/old correspondences generally hold, exceptions exist for many galaxies. Quiescent galaxies show flatter, less scattered MZR than star-forming ones, converging at high masses. iv) Different SPS modelling assumptions significantly impact results, with star formation and chemical enrichment histories having the strongest effects.

These revised relations provide new benchmarks for galaxy evolution studies and simulations. Systematic effects of 0.1-0.2dex can arise from uncorrected aperture biases and different SPS modelling choices. Consistent assumptions should be used when comparing observations and models.

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Provenance · 1 source records, 8 field assertions
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IVOA Registry (Virtual Observatory)ivo://cds.vizier/j/a+a/703/a515 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · IVOA Registryconnector:ivoa_registry@1.0.0
concepts[field].local:field:astronomymapping · IVOA Registryconnector:ivoa_registry@1.0.0
concepts[modality].ivoa_waveband:opticalsource · IVOA Registryconnector:ivoa_registry@1.0.0
descriptionsource · IVOA Registryconnector:ivoa_registry@1.0.0rr.resource.res_description
license_textsource · IVOA Registryconnector:ivoa_registry@1.0.0
publication_datesource · IVOA Registryconnector:ivoa_registry@1.0.0
titlesource · IVOA Registryconnector:ivoa_registry@1.0.0rr.resource.res_title
updated_datesource · IVOA Registryconnector:ivoa_registry@1.0.0