J/ApJ/946/L35 High-z galaxies from JWST ERO (Morishita+, 2023)
Physical characterization of early galaxies in the Webb's first deep field
SMACS J0723.3-7323.
Morishita T., Stiavelli M.
<Astrophys. J., 946, L35 (2023)>
=2023ApJ...946L..35M 2023ApJ...946L..35M
ADC_Keywords: Galaxies, photometry; Redshifts; Magnitudes, absolute;
Ultraviolet; Infrared sources; Extinction; Gravitational lensing
Keywords: Galaxy evolution ; Lyman-break galaxies ; Starburst galaxies
Abstract:
This paper highlights initial photometric analyses of JWST NIRCam
imaging data in the sightline of SMACS0723, aiming to identify
galaxies at redshift z>7. By applying a conservative Lyman-break
selection followed by photometric-redshift analysis and visual
inspection, we identify four F090W-dropout and two F150W-dropout
sources, three of which were recently confirmed in an independent
spectroscopic analysis to z=7.663, 7.665, and 8.499. We then
supplement our sample with a photometric-redshift selection, and
identify five additional candidates at 7<zphot<13. The NIRCam images
clearly resolve all sources and reveal their subgalactic components
that were not resolved/detected in the previous imaging by Hubble
Space Telescope. Our spectral energy distribution analysis reveals
that the selected galaxies are characterized by young stellar
populations (median age of ∼50Myr) of subsolar metallicity
(∼0.2Z☉) and little dust attenuation (AV∼0.5). In several
cases, we observe extreme Hβ+[OIII] lines being captured in the
F444W band and seen as color excess, which is consistent with their
observed high star formation rate surface density. Eight of the
11 sources identified in this study appear in at least one of the
recent studies (Adams+ 2023MNRAS.518.4755A 2023MNRAS.518.4755A; Atek+ 2023MNRAS.519.1201A 2023MNRAS.519.1201A;
Donnan+ 2023MNRAS.518.6011D 2023MNRAS.518.6011D; Harikane+ 2023ApJS..265....5H 2023ApJS..265....5H;
Yann+ 2023ApJ...942L...9Y 2023ApJ...942L...9Y) of the same fields, implying the high
fidelity of our selection. We crossmatch all high-z galaxy candidates
presented in the five studies with our catalog and discuss the
possible causes of discrepancy in the final lists.
Description:
We focus our primary analysis on the NIRCam data taken as part of the
JWST Early Release Observations Program, in the sightline of
SMACS J0723.3-7327. The NIRCam imaging data consist of
F090/150/200/277/356/444W filters, with ∼2hr exposure on each. We also
include Near Infrared Imager and Slitless Spectrograph (NIRISS)
imaging data (F115W and F200W), taken as part of the wide slitless
spectroscopic observation in the cluster field.
Objects:
-----------------------------------------------------------
RA (ICRS) DE Designation(s)
-----------------------------------------------------------
07 23 13.29 -73 27 25.1 SMACS0723 = SMACS J0723.3-7327
-----------------------------------------------------------
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
table3.dat 118 12 List of our final candidates
table4.dat 148 11 *Physical properties of the final candidates
table6.dat 123 110 List of high-z candidates identified in
the literature
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Note on table4.dat: Measurements are corrected for magnification.
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See also:
J/ApJ/793/115 : UV-continuum slopes beta for z∼4-8 galaxies (Bouwens+, 2014)
J/ApJS/214/24 : 3D-HST+CANDELS catalog (Skelton+, 2014)
J/ApJ/803/34 : z∼4-10 galaxies from HST legacy fields (Bouwens+, 2015)
J/ApJ/884/85 : RELICS: Reionization Lensing Cluster Survey (Coe+, 2019)
J/ApJ/889/189 : Brightest high-z galaxies in RELICS clusters (Salmon+, 2020)
J/ApJS/253/4 : SuperBoRG: search HST parallel imaging data (Morishita, 2021)
J/A+A/666/L9 : SMACS J0723.3-7327 first JWST observations (Caminha+, 2022)
J/ApJ/946/L40 : Galaxies in JWST obs. of SMACS J0723.3-7327 (Langeroodi+, 2023)
Byte-by-byte Description of file: table3.dat
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Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 5 A5 --- Set Set (1)
7- 16 A10 --- ID1 Identifier
18- 21 A4 --- ID2 Abbreviated identifier
23 A1 --- n_ID2 Note on Z6p (2)
25- 35 F11.7 deg RAdeg Right ascension in decimal degrees (J2000)
37- 47 F11.7 deg DEdeg Declination in decimal degrees (J2000)
49- 52 F4.1 mag UVmag [26/29] UV band magnitude
54- 58 F5.2 --- zphot [7.34/13.85] Photometric redshift
60- 63 F4.2 --- e_zphot [0.07/1.56] Lower uncertainty on zphot (3)
65- 68 F4.2 --- E_zphot [0.05/3.65] Upper uncertainty on zphot (3)
70- 73 F4.2 --- P(z) [0.81/1] Probability distribution at z>6.5
75- 79 F5.2 --- mu [1.54/15.3]? Median magnification of various
lens models (4)
81-112 A32 --- Notes Notes
114-118 A5 --- Ref Reference (5)
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Note (1): Set as follows:
F090W = F090W dropouts (7≲z≲11)
F150W = F150W dropouts (10≲z≲14)
zphot = phot-z sample
For the color-cut selection, no dropout sources other than F090W
dropouts were identified.
Note (2): Note as follows:
a = WDF-P-949 and WDF-P-963 are treated as a single system in the
main text (Section 4.1.2).
Note (3): Photometric-redshift uncertainty is estimated by only using the
probability distribution at z>6.5.
Note (4): Median magnification of various lens models
(Jullo+ 2007NJPh....9..447J 2007NJPh....9..447J; Oguri 2010ascl.soft10012O;
Caminha+ 2022, J/A+A/666/L9; Mahler+ 2023ApJ...945...49M 2023ApJ...945...49M) calculated
at the position of the source.
Note (5): Cross-appearance of the source in other studies. Code as follows:
1 = Adams+ 2023MNRAS.518.4755A 2023MNRAS.518.4755A (<[ACF2023] NNNNN> in Simbad)
2 = Atek+ 2023MNRAS.519.1201A 2023MNRAS.519.1201A (<[ASF2023] SMACS zNNa> in Simbad)
3 = Donnan+ 2023MNRAS.518.6011D 2023MNRAS.518.6011D (<[DMD2023] SMACS-NNNNN> in Simbad)
4 = Yann+ 2023ApJ...942L...9Y 2023ApJ...942L...9Y (<[YML2023] FNNNDA-NNN> in Simbad)
None of our samples appears in Harikane+ 2023ApJS..265....5H 2023ApJS..265....5H
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Byte-by-byte Description of file: table4.dat
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Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 4 A4 --- ID2 Abbreviated identifier
6- 11 F6.3 --- z [7.58/13.62] Redshift (6)
13- 16 F4.2 --- e_z [0.4/1.4]? Lower uncertainty on z
18- 21 F4.2 --- E_z [0.4/1.4]? Upper uncertainty on z
23- 28 F6.2 mag UVMag [-20.51/-17.22] Absolute UV band magnitude
30- 33 F4.2 mag e_UVMag [0.05/0.5] Lower uncertainty on UVMag
35- 38 F4.2 mag E_UVMag [0.05/0.3] Upper uncertainty on UVMag
40- 44 F5.2 --- beta [-2.3/-1.4] Power-law UV slope,
βλ
46- 49 F4.2 --- e_beta [0/0.3] Lower uncertainty on beta
51- 54 F4.2 --- E_beta [0.02/0.42] Upper uncertainty on beta
56- 59 F4.2 Msun logMs [7.7/9.1] Log of stellar mass
61- 64 F4.2 Msun e_logMs [0.07/1.1] Lower uncertainty on logMs
66- 69 F4.2 Msun E_logMs [0.09/1.1] Upper uncertainty on logMs
71- 74 F4.2 Msun/yr SFR [0.27/5.8] Star formation rate
76- 79 F4.2 Msun/yr e_SFR [0.07/1.7] Lower uncertainty on SFR
81- 84 F4.2 Msun/yr E_SFR [0.1/4.31] Upper uncertainty on SFR
86- 90 F5.2 Gyr logts [-1.94/-0.74] log of mass-weighted age
92- 95 F4.2 Gyr e_logts [0.27/1] Lower uncertainty on logts
97- 100 F4.2 Gyr E_logts [0.2/0.9] Upper uncertainty on logts
102- 106 F5.2 [Sun] logZs [-1.17/-0.09] log of mass-weighted metallicity
108- 111 F4.2 [Sun] e_logZs [0.05/1.3] Lower uncertainty on logZs
113- 116 F4.2 [Sun] E_logZs [0.07/1] Upper uncertainty on logZs
118- 121 F4.2 mag Av [0.2/1.1] Dust extinction
123- 126 F4.2 mag e_Av [0.08/0.5] Lower uncertainty on Av
128- 131 F4.2 mag E_Av [0.1/1.1] Upper uncertainty on Av
133- 135 I3 pc re [10/282] Circularized effective radius
137- 138 I2 pc e_re [1/31] re uncertainty
140- 143 F4.2 --- n [0.2/1.57] Sersic index
145- 148 F4.2 --- e_n [0.06/0.91] n uncertainty
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Note (6): Posterior redshift derived by gsf. ZD1, ZD2, and ZD3 are fixed to
spectroscopic redshift during the fit.
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Byte-by-byte Description of file: table6.dat
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Bytes Format Units Label Explanations
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1- 4 A4 --- Ref Reference (1)
6- 15 A10 --- Name Identifier in the literature
17 A1 --- f_Name [a] a: listed as a potential candidate
in their study
19- 31 E13.8 deg RAdeg [110.6/110.92] Right ascension (J2000)
33- 46 E14.8 deg DEdeg [-73.51/-73.4] Declination (J2000)
48- 53 F6.2 --- zlit [0.05/20.4]?=-99 Redshift in the literature
55- 64 A10 --- ID1 Identifier as in Table 3
66- 70 F5.2 --- z [0.05/16.58] Redshift
72- 76 F5.2 --- e_z [0.03/11.24] Lower uncertainty on z
78- 82 F5.2 --- E_z [0.04/10.8] Upper uncertainty on z
84- 87 F4.2 --- P(z) [0/1] Probability distribution at z>6.5
89- 123 A35 --- Comm Comment
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Note (1): Reference as follows:
A23a = Adams+ 2023MNRAS.518.4755A 2023MNRAS.518.4755A (<[ACF2023] NNNNN> in Simbad);
see Section 5.2.1.
A23b = Atek+ 2023MNRAS.519.1201A 2023MNRAS.519.1201A (<[ASF2023] SMACS zNNa> in Simbad);
see Section 5.2.2.
D23 = Donnan+ 2023MNRAS.518.6011D 2023MNRAS.518.6011D (<[DMD2023] SMACS-NNNNN> in Simbad);
see Section 5.2.3.
H23 = Harikane+ 2023ApJS..265....5H 2023ApJS..265....5H (<[HOO2023] SM-z12-1> in Simbad);
see Section 5.2.4.
Y23 = Yann+ 2023ApJ...942L...9Y 2023ApJ...942L...9Y (<[YML2023] FNNNDA-NNN> in Simbad);
see Section 5.2.5 --
80 objects that are detected in our catalog, out of 88 in the
original study by Yan+ (2023), are shown.
Y = Yann et al.
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History:
From electronic version of the journal
(End) Emmanuelle Perret [CDS] 10-Mar-2025