GalaPy: A highly optimised C++/Python spectral modelling tool for galaxies - I. Library presentation and photometric fitting

Home

All issues

Volume 685 (May 2024)

A&A, 685 (2024) A161

Full HTML

Open Access

Table 4

Same as Table 3 for further properties found in the literature.

	GalaPy					Literature

Source	log M_dust (log M_⊙)	log M_gas (log M_⊙)	log M_★ (log M_⊙)	Z_gas	Z_★	log M_dust (log M_⊙)	log M_gas (log M_⊙)	log M_★ (log M_⊙)	Z_gas
Sect. 4.2.1: Dusty star-forming (1)

UDF3	${8.52}_{- 0.64}^{+ 0.60}$ ${8.52_{ - 0.64}^{ + 0.60}}$	${10.24}_{- 1.07}^{+ 0.91}$ ${10.24_{ - 1.07}^{ + 0.91}}$	${10.19}_{- 0.24}^{+ 0.50}$ ${10.19_{ - 0.24}^{ + 0.50}}$	${0.03}_{- 0.02}^{+ 0.04}$ ${0.03_{ - 0.02}^{ + 0.04}}$	${0.02}_{- 0.01}^{+ 0.02}$ ${0.02_{ - 0.01}^{ + 0.02}}$	${8.30}_{- 0.22}^{+ 0.15}$ ${8.30_{ - 0.22}^{ + 0.15}}$	–	${10.95}_{- 0.05}^{+ 0.05}$ $10.95_{ - 0.05}^{ + 0.05}$	–
	(8.31)	(9.95)	(9.98)	(0.03)	(0.02)		(10.6)		(0.01)
UDF10	${8.66}_{- 0.027}^{+ 0.027}$ ${8.66_{ - 0.27}^{ + 0.077}}$	${10.28}_{- 0.34}^{+ 0.49}$ ${10.28_{ - 0.34}^{ + 0.49}}$	${10.60}_{- 0.07}^{+ 0.05}$ ${10.60_{ - 0.07}^{ + 0.05}}$	${0.03}_{- 0.01}^{+ 0.01}$ ${0.03_{ - 0.01}^{ + 0.01}}$	${0.02}_{- 0.01}^{+ 0.00}$ ${0.02_{ - 0.01}^{ + 0.00}}$	${7.98}_{- 0.53}^{+ 0.23}$ ${7.98_{ - 0.53}^{ + 0.23}}$	–	${10.40}_{- 0.06}^{+ 0.05}$ ${10.40_{ - 0.06}^{ + 0.05}}$	–
	(8.64)	(10.24)	(10.65)	(0.03)	(0.02)		(10.5)		(0.01)
UDF11	${9.25}_{- 0.14}^{+ 0.09}$ ${9.25_{ - 0.14}^{ + 0.09}}$	${11.50}_{- 0.43}^{+ 0.27}$ ${11.50_{ - 0.43}^{ + 0.27}}$	${10.71}_{- 0.09}^{+ 0.08}$ ${10.71_{ - 0.09}^{ + 0.08}}$	${0.01}_{- 0.00}^{+ 0.01}$ ${0.01_{ - 0.00}^{ + 0.01}}$	${0.01}_{- 0.00}^{+ 0.00}$ ${0.01_{ - 0.00}^{ + 0.00}}$	${7.86}_{- 0.26}^{+ 0.16}$ ${7.86_{ - 0.26}^{ + 0.16}}$	–	${10.81}_{- 0.07}^{+ 0.06}$ ${10.81_{ - 0.07}^{ + 0.06}}$	–
	(9.19)	(11.53)	(10.64)	(0.01)	(0.00)		(10.3)		(0.01)
AzTEC.GS21	${8.84}_{- 0.31}^{+ 0.28}$ ${8.84_{ - 0.31}^{ + 0.28}}$	${10.16}_{- 0.40}^{+ 0.42}$ ${10.16_{ - 0.40}^{ + 0.42}}$	${10.93}_{- 0.17}^{+ 0.18}$ ${10.93_{ - 0.17}^{ + 0.18}}$	${0.06}_{- 0.02}^{+ 0.01}$ ${0.06_{ - 0.02}^{ + 0.01}}$	${0.04}_{- 0.01}^{+ 0.01}$ ${0.04_{ - 0.01}^{ + 0.01}}$	${8.46}_{- 0.12}^{+ 0.09}$ ${8.46_{ - 0.12}^{ + 0.09}}$	–	${11.26}_{- 0.05}^{+ 0.05}$ ${11.26_{ - 0.05}^{ + 0.05}}$	–
	(8.22)	(9.41)	(10.81)	(0.08)	(0.05)		(10.8)		(0.02)

Sect. 4.2.2: Local late-type (2)

NGC3364	${7.17}_{- 0.22}^{+ 0.15}$ ${7.17_{ - 0.22}^{ + 0.15}}$	${8.97}_{- 0.27}^{+ 0.18}$ ${8.97_{ - 0.27}^{ + 0.18}}$	${10.03}_{- 0.08}^{+ 0.07}$ ${10.03_{ - 0.08}^{ + 0.07}}$	${0.02}_{- 0.00}^{+ 0.00}$ ${0.02_{ - 0.00}^{ + 0.00}}$	${0.02}_{- 0.00}^{+ 0.00}$ ${0.02_{ - 0.00}^{ + 0.00}}$	${7.10}_{- 0.10}^{+ 0.08}$ ${7.10_{ - 0.10}^{ + 0.08}}$	–	${10.24}_{- 0.22}^{+ 0.15}$ ${10.24_{ - 0.22}^{ + 0.15}}$	–
	(7.37)	(9.21)	(10.05)	(0.02)	(0.02)
NGC3898	${6.29}_{- 0.14}^{+ 0.16}$ ${6.29_{ - 0.14}^{ + 0.16}}$	${7.89}_{- 0.15}^{+ 0.18}$ ${7.89_{ - 0.15}^{ + 0.18}}$	${10.40}_{- 0.07}^{+ 0.05}$ ${10.40_{ - 0.07}^{ + 0.05}}$	${0.03}_{- 0.00}^{+ 0.00}$ ${0.03_{ - 0.00}^{ + 0.00}}$	${0.03}_{- 0.00}^{+ 0.00}$ ${0.03_{ - 0.00}^{ + 0.00}}$	${7.72}_{- 0.12}^{+ 0.09}$ ${7.72_{ - 0.12}^{ + 0.09}}$	–	${11.32}_{- 0.03}^{+ 0.28}$ ${11.32_{ - 0.03}^{ + 0.28}}$	–
	(6.38)	(7.99)	(10.39)	(0.03)	(0.03)		(9.14)
NGC4254	${9.11}_{- 0.14}^{+ 0.14}$ ${9.11_{ - 0.14}^{ + 0.14}}$	${10.68}_{- 0.17}^{+ 0.20}$ ${10.68_{ - 0.17}^{ + 0.20}}$	${11.13}_{- 0.08}^{+ 0.07}$ ${11.13_{ - 0.08}^{ + 0.07}}$	${0.04}_{- 0.00}^{+ 0.00}$ ${0.04_{ - 0.00}^{ + 0.00}}$	${0.02}_{- 0.00}^{+ 0.00}$ ${0.02_{ - 0.00}^{ + 0.00}}$	${7.35}_{- 0.02}^{+ 0.02}$ ${7.35_{ - 0.2}^{ + 0.02}}$	–	${10.13}_{- 0.08}^{+ 0.07}$ ${10.13_{ - 0.08}^{ + 0.07}}$	–
	(8.95)	(10.48)	(11.15)	(0.04)	(0.03)		(9.53)		(0.01)
NGC4351	${6.30}_{- 0.20}^{+ 0.25}$ ${6.30_{ - 0.20}^{ + 0.25}}$	${7.98}_{- 0.24}^{+ 0.28}$ ${7.98_{ - 0.24}^{ + 0.28}}$	${9.77}_{- 0.05}^{+ 0.09}$ ${9.77_{ - 0.05}^{ + 0.09}}$	${0.03}_{- 0.00}^{+ 0.00}$ ${0.03_{ - 0.00}^{ + 0.00}}$	${0.02}_{- 0.00}^{+ 0.00}$ ${0.02_{ - 0.00}^{ + 0.00}}$	${5.98}_{- 0.10}^{+ 0.08}$ ${5.98_{ - 0.10}^{ + 0.08}}$	–	${9.16}_{- 0.00}^{+ 0.00}$ ${9.16_{ - 0.00}^{ + 0.00}}$	–
	(6.17)	(7.82)	(9.75)	(0.03)	(0.02)		(7.92)		(0.01)

Sect. 4.2.3: Lensed NIR-dark with upper limits (3)

J1135	${9.28}_{- 0.62}^{+ 0.47}$ ${9.28_{ - 0.62}^{ + 0.47}}$	${10.70}_{- 0.72}^{+ 0.65}$ ${10.70_{ - 0.72}^{ + 0.65}}$	${11.15}_{- 0.57}^{+ 0.39}$ ${11.15_{ - 0.57}^{ + 0.39}}$	${0.06}_{- 0.03}^{+ 0.02}$ ${0.06_{ - 0.03}^{ + 0.02}}$	${0.03}_{- 0.02}^{+ 0.01}$ ${0.03_{ - 0.02}^{ + 0.01}}$	9.06 ± 0.04	11.04 ± 0.04	≲11.73	–
	(9.34)	(10.62)	(11 .40)	(0.07)	(0.04)

Sect. 4.2.4: Stacked NIR-dark radio-selected (4)

Median	${9.26}_{- 0.47}^{+ 0.39}$ ${9.26_{ - 0.47}^{ + 0.39}}$	${11.01}_{- 0.91}^{+ 0.59}$ ${11.01_{ - 0.91}^{ + 0.59}}$	${10.94}_{- 0.25}^{+ 0.24}$ ${10.94_{ - 0.25}^{ + 0.24}}$	${0.03}_{- 0.01}^{+ 0.04}$ ${0.03_{ - 0.01}^{ + 0.04}}$	${0.02}_{- 0.01}^{+ 0.02}$ ${0.02_{ - 0.01}^{ + 0.02}}$	${8.91}_{- 0.60}^{+ 0.08}$ ${8.91_{ - 0.60}^{ + 0.08}}$	–	${11.08}_{- 0.15}^{+ 0.19}$ ${11.08_{ - 0.15}^{ + 0.19}}$	–
	(9.35)	(11.39)	(10.86)	(0.01)	(0.01)	(8.06)	–	(11.09)	–

Sect. 4.2.5: Quiescent (5)

ETG1	–	–	${9.97}_{- 0.07}^{+ 0.17}$ ${9.97_{ - 0.07}^{ + 0.17}}$	–	${0.04}_{- 0.02}^{+ 0.01}$ ${0.04_{ - 0.02}^{ + 0.01}}$	–	–	9.90	–
	–	–	(10.15)	–	(0.02)
ETG2	–	–	${10.82}_{- 0.07}^{+ 0.10}$ ${10.82_{ - 0.07}^{ + 0.10}}$	–	${0.05}_{- 0.01}^{+ 0.00}$ ${0.05_{ - 0.01}^{ + 0.00}}$	–	–	10.73	–
	–	–	(10.92)	–	(0.05)
ETG3	–	–	${10.48}_{- 0.94}^{+ 0.16}$ ${10.48_{ - 0.94}^{ + 0.16}}$	–	${0.04}_{- 0.02}^{+ 0.01}$ ${0.04_{ - 0.02}^{ + 0.01}}$	–	–	10.85	–
	–	–	(9.35)	–	(0.01)

Notes. The gas metallicity values from literature have all been converted to absolute value from line estimates by means of log Z/Z_⊙ = 12 + log(O/H) − log(O/H)_⊙ (Nagao et al. 2006) assuming log(O/H)_⊙ = 8.69 and Z_⊙ = 0.0153. For each source, we provide in the first row the median and 68% credible interval and on the second row, within round brackets, the best fitting value of the given parameter. A long dash in a cell indicates that the corresponding value is either not available from literature or it does not have meaning in the model set-up used for the corresponding source.

References. (1) Pantoni et al. (2021); (2) Casasola et al. (2020); (3) Giulietti et al. (2023); (4) Behiri et al. (2023); (5) Donevski et al. (2023).

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.