Performance of photometric template fitting for ultra-high-redshift galaxies

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Volume 697 (May 2025)

A&A, 697 (2025) A160

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Table 6

UNCOVER z > 0.1 photometric redshift performance metrics.

`Template`	Δ_bias,z>0.1	σ_nmad,z>0.1	η_f,z>0.1	η_c,z>0.1	s_z>0.1
	(%)	(%)	(%)	(%)	(%)
`A22`	−11.7 ± 0.5	28.0 ± 0.4	25 ± 1	25 ± 1	${99.76}_{- 0.12}^{+ 0.08}$ $99.76_{-0.12}^{+0.08}$
`BlSFH`	$- {13.5}_{- 0.6}^{+ 0.5}$ $-13.5_{-0.6}^{+0.5}$	27.1 ± 0.3	${24.1}_{- 0.9}^{+ 1.1}$ $24.1_{-0.9}^{+1.1}$	25 ± 1	${99.1}_{- 0.3}^{+ 0.2}$ $99.1_{-0.3}^{+0.2}$
`CaSFH`	$- {14.0}_{- 0.6}^{+ 0.5}$ $-14.0_{-0.6}^{+0.5}$	26.9 ± 0.3	26 ± 1	28 ± 1	${98.0}_{- 0.4}^{+ 0.3}$ $98.0_{-0.4}^{+0.3}$
`Ev3`	$- {18.6}_{- 0.6}^{+ 0.5}$ $-18.6_{-0.6}^{+0.5}$	31.6 ± 0.2	${32.6}_{- 0.8}^{+ 0.9}$ $32.6_{-0.8}^{+0.9}$	${33.4}_{- 0.9}^{+ 1.0}$ $33.4_{-0.9}^{+1.0}$	99.2 ± 0.2
`L23`	$- {15.0}_{- 0.7}^{+ 0.6}$ $-15.0_{-0.7}^{+0.6}$	28.7 ± 0.3	${26.2}_{- 0.9}^{+ 1.1}$ $26.2_{-0.9}^{+1.1}$	27 ± 1	${98.7}_{- 0.5}^{+ 0.4}$ $98.7_{-0.5}^{+0.4}$
`T22`	−10.3 ± 0.5	27.1 ± 0.4	${22.1}_{- 0.9}^{+ 1.0}$ $22.1_{-0.9}^{+1.0}$	${22.6}_{- 0.9}^{+ 1.0}$ $22.6_{-0.9}^{+1.0}$	${99.5}_{- 0.2}^{+ 0.1}$ $99.5_{-0.2}^{+0.1}$
`TwSPS`	$- {33.0}_{- 0.9}^{+ 0.8}$ $-33.0_{-0.9}^{+0.8}$	35.0 ± 0.2	48 ± 1	54 ± 1	${94.6}_{- 0.7}^{+ 0.5}$ $94.6_{-0.7}^{+0.5}$

Notes. Overview of template performance on the all-redshift (z_spec > 0.1) UNCOVER sample. Specific metrics are defined above (Sect. 3.1). Within UNCOVER, sample selection of high-redshift galaxies seems largely independent of the templates as long as they are designed with high redshift in mind. With BISFH, the fraction of successful photometric redshifts is ∼75%. Despite the increased depth due to lensing in UNCOVER, the overall performance of template fitting in the all-redshift sample is not improved over JADES (as opposed to the high-redshift sample). This is most likely due to the more complicated foreground field associated with lensed surveys (Vujeva et al. 2024). The sets T22 and S23 are not included in this analysis because they require pre-selection of high-redshift candidates.

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