GALSBI-SPS: A stellar population synthesis-based galaxy population model for cosmology and galaxy evolution applications

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Volume 703 (November 2025)

A&A, 703 (2025) A255

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Table 12.

Mean, median, 84th-50th, and 50th-16th percentile values of the galaxy redshift distributions from the GALSBI-SPS, GALSBI, EAZY, and LEPHARE estimates.

	HSC data				GALSBI-SPS		GALSBI

i_cut	${\bar{z}}_{EAZY}$ $Mathematical equation: $ \bar{z}_{\mathrm{EAZY}} $$	Me(z)_EAZY	${\bar{z}}_{LePhare}$ $Mathematical equation: $ \bar{z}_{\mathrm{LePhare}} $$	Me(z)_LePhare	$\bar{z}$ $Mathematical equation: $ \bar{z} $$	Me(z)	$\bar{z}$ $Mathematical equation: $ \bar{z} $$	Me(z)
21	0.375	$0 . 354_{- 0.219}^{+ 0.531}$ $Mathematical equation: $ 0.354^{+0.531}_{-0.219} $$	0.368	$0 . 349_{- 0.210}^{+ 0.530}$ $Mathematical equation: $ 0.349^{+0.530}_{-0.210} $$	0.452 ± 0.006	$0 . 356_{- 0.174}^{+ 0.663}$ $Mathematical equation: $ 0.356^{+0.663}_{-0.174} $$	0.359 ± 0.006	$0 . 343_{- 0.184}^{+ 0.537}$ $Mathematical equation: $ 0.343^{+0.537}_{-0.184} $$
22	0.493	$0 . 464_{- 0.255}^{+ 0.738}$ $Mathematical equation: $ 0.464^{+0.738}_{-0.255} $$	0.484	$0 . 454_{- 0.250}^{+ 0.726}$ $Mathematical equation: $ 0.454^{+0.726}_{-0.250} $$	0.542 ± 0.003	$0 . 431_{- 0.208}^{+ 0.778}$ $Mathematical equation: $ 0.431^{+0.778}_{-0.208} $$	0.460 ± 0.005	$0 . 441_{- 0.238}^{+ 0.683}$ $Mathematical equation: $ 0.441^{+0.683}_{-0.238} $$
23	0.632	$0 . 624_{- 0.316}^{+ 0.930}$ $Mathematical equation: $ 0.624^{+0.930}_{-0.316} $$	0.618	$0 . 607_{- 0.307}^{+ 0.925}$ $Mathematical equation: $ 0.607^{+0.925}_{-0.307} $$	0.644 ± 0.002	$0 . 514_{- 0.242}^{+ 0.921}$ $Mathematical equation: $ 0.514^{+0.921}_{-0.242} $$	0.596 ± 0.006	$0 . 563_{- 0.301}^{+ 0.870}$ $Mathematical equation: $ 0.563^{+0.870}_{-0.301} $$

Notes. Mean and median redshifts for GALSBI-SPS, GALSBI, EAZY, and LEPHARE at different i-band magnitude cuts. The mean redshift and its error for GALSBI is estimated from the posterior samples, while for GALSBI-SPS via bootstrap resampling. The quoted upper and lower errors refer to the 84th-50th and 50th-16th percentile values of the distributions.

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