Correcting the fiber-aperture bias affecting galaxy stellar populations in the Sloan Digital Sky Survey. Aperture corrections to absorption indices based on CALIFA integral field observations
Stefano Zibetti (1, 2), Jacopo Pratesi (1, 2), Anna R. Gallazzi (1), Daniele Mattolini (3, 1), Laura Scholz-D\'iaz (1) ((1) INAF-Arcetri Astrophysical Observatory, Firenze, Italy, (2) Universit\`a degli Studi di Firenze, Italy, (3) Universit\`a di Trento, Italy)

TL;DR
This paper develops aperture correction recipes using CALIFA data to mitigate fiber-aperture bias in SDSS galaxy stellar population measurements, improving the accuracy of galaxy evolution analyses.
Contribution
It introduces new correction recipes based on galaxy properties to reduce aperture bias in SDSS stellar population data, validated with CALIFA observations.
Findings
Corrections for absorption indices can reach over 15% at z~0.02.
Applying corrections reduces scatter and reveals clearer bimodality in age diagrams.
Systematic biases in old galaxy fractions and transition luminosities are corrected.
Abstract
Stellar population properties are crucial for understanding galaxy evolution. Their inference for statistically representative samples requires deep multi-object spectroscopy, typically obtained with fiber-fed spectrographs that integrate only a fraction of galaxy light. The most comprehensive local Universe dataset is the Sloan Digital Sky Survey (SDSS), whose fibers typically collected ~30% of total flux. Stellar population gradients, ubiquitously present in galaxies, systematically bias SDSS toward central properties, by amounts yet to be quantified. We leverage CALIFA integral-field spectroscopy to simulate fiber-fed observations at redshifts z=0.005-0.4, accounting for seeing effects. We analyze systematic aperture correction trends across galaxy morphologies and derive correction recipes based on: fiber-measured indices, global g-r color, absolute r-band magnitude Mr, and physical…
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