FAST-SBF: an automatic procedure for the measurement of Surface Brightness Fluctuations for large sky surveys
Gabriele Riccio, Michele Cantiello, Rebecca Habas, Nandini Hazra, Giuseppe D'Ago, Gabriella Raimondo, John P. Blakeslee, Joseph B. Jensen, Marco Mirabile, Enzo Brocato, Massimo Brescia, Claudia M. Raiteri

TL;DR
FAST-SBF is an automated Python pipeline designed for efficient Surface Brightness Fluctuation measurements, enabling large-scale galaxy distance estimation in upcoming wide-field surveys like LSST and Euclid.
Contribution
It introduces a new automated, fast, and flexible SBF measurement pipeline tailored for large datasets from next-generation sky surveys.
Findings
Validated on HSC-SSP data with excellent agreement to published distances.
Capable of measuring SBF in faint dwarf galaxies.
Significantly reduces user intervention and analysis time.
Abstract
The Surface Brightness Fluctuation method is one of the most reliable and efficient ways of measuring distances to galaxies within 100 Mpc. While recent implementations have increasingly relied on space-based observations, SBF remains effective when applied to ground-based data. In particular, deep, wide-field imaging surveys with sub-arcsecond seeing conditions allows us for accurate SBF measurements across large samples of galaxies. With the upcoming next generation wide-area imaging surveys, the thousands of galaxies suitable for SBF measurements will give us the opportunity to constrain the 3D structure of the local universe. We present FAST-SBF, a new Python-based pipeline for measuring SBF, developed to support the analysis of large datasets from upcoming wide-field imaging surveys such as LSST, Euclid, and Roman. The procedure, still in the testing and development stage, is…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Gamma-ray bursts and supernovae
