J/MNRAS/472/4878 Number counts predictions for surveys (Valentino+, 2017)
Predicting emission line fluxes and number counts of distant galaxies for
cosmological surveys.
Valentino F., Daddi E., Silverman J.D., Puglisi A., Kashino D., Renzini A.,
Cimatti A., Pozzetti L., Rodighiero G., Pannella M., Gobat R., Zamorani G.
<Mon. Not. R. Astron. Soc., 472, 4878-4899 (2017)>
=2017MNRAS.472.4878V 2017MNRAS.472.4878V (SIMBAD/NED BibCode)
ADC_Keywords: Surveys ; Galaxy catalogs ; Galaxies, photometry ; Spectroscopy
Keywords: galaxies: distances and redshifts - galaxies: high-redshift -
galaxies: star formation - galaxies: statistics -
large-scale structure of Universe - cosmology: observations
Abstract:
We estimate the number counts of line emitters at high redshift and
their evolution with cosmic time based on a combination of photometry
and spectroscopy. We predict the Hα, Hβ, [OII], and [OIII]
line fluxes for more than 35000 galaxies down to stellar masses of
∼109M☉ in the COSMOS and GOODS-S fields, applying standard
conversions and exploiting the spectroscopic coverage of the
FMOS-COSMOS survey at z∼1.55 to calibrate the predictions. We
calculate the number counts of Hα, [OII], and [OIII] emitters
down to fluxes of 1x10-17erg/cm2/s in the range 1.4<z<1.8 covered
by the FMOS-COSMOS survey. We model the time evolution of the
differential and cumulative Hα counts, steeply declining at the
brightest fluxes. We expect ∼9300-9700 and ∼2300-2900-galaxies/deg2
for fluxes ≥1x10-16 and ≥2x10-16erg/cm2/s over the range of
0.9<z<1.8. We show that the observed evolution of the main sequence of
galaxies with redshift is enough to reproduce the observed counts
variation at 0.2<z<2.5. We characterize the physical properties of the
Hα emitters with fluxes ≥2x10-16erg/cm2/s including their
stellar masses, UV sizes, [NII]/Hα ratios and Hα
equivalent widths. An aperture of R∼Re∼0.5arcsec maximizes the
signal-to-noise ratio for a detection, whilst causing a factor of ∼2x
flux losses, influencing the recoverable number counts, if neglected.
Our approach, based on deep and large photometric data sets, reduces
the uncertainties on the number counts due to the selection and
spectroscopic samplings whilst exploring low fluxes. We publicly
release the line flux predictions for the explored photometric
samples.
Description:
Photometric parameters, coordinates, and predicted Hα, Hβ,
[OII]3727AA, and [OIII]5007AA line fluxes from spectral energy
distribution modeling are presented. Galaxies in the COSMOS (31193
objects) and GOODS-S (3,858 objects) fields in the redshift range
1.4<z<1.8 are stored in separate tables. All line fluxes are corrected
for aperture correction (thus, they are "total"), but not for
reddening (hence, "observed"). A correction for the stellar Balmer
absorption to the Hβ flux is provided: to obtain the total,
Balmer-absorbed, observed Hβ flux, divide Hβ/fabs.
Tables 1 to 4 report the cumulative number counts computed from the
predicted line fluxes.
File Summary:
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FileName Lrecl Records Explanations
--------------------------------------------------------------------------------
ReadMe 80 . This file
cosmos.dat 171 31193 Photometric parameters and line flux predictions
for 31193 galaxies in COSMOS at 1.4<z<1.8
goodss.dat 120 3858 Photometric parameters and line flux predictions
for 3858 galaxies in GOODS-S at 1.4<z<1.8
table1.dat 133 14 Hα number counts from COSMOS and GOODS-S
photometric samples
GOODS-S photometric samples at 1.4<z<1.8
table2.dat 134 9 [OII] and [OIII] number counts from COSMOS and
table3.dat 101 14 Hα+[NII] number counts from COSMOS and
GOODS-S photometric samples
table4.dat 92 14 Hα, [OII], and [OIII] number counts for
starbursting galaxies from the GOODS-S
photometric samples at 1.4<z<1.8 and 0.9<z<1.8
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See also:
J/ApJS/220/12 : FMOS-COSMOS survey III. 0.7<z<2.5 galaxies (Silverman+, 2015)
J/ApJS/224/24 : The COSMOS2015 catalog (Laigle+, 2016)
Byte-by-byte Description of file (#): cosmos.dat
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Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 6 I6 --- ID Galaxy identification number (1)
10- 21 F12.8 deg RAdeg Right ascension (J2000.0)
27- 36 F10.8 deg DEdeg Declination (J2000.0)
47- 51 F5.2 [Msun] logM Logarithmic stellar mass (2)
61- 66 F6.2 [Msun/yr] logSFR Logarithmic star formation rate
78- 81 F4.2 --- zph Photometric redshift
92- 96 F5.2 mag AV V-band stellar extinction
108-111 F4.2 10-19W/m2 FHa Predicted flux for Hα (G1)
123-126 F4.2 10-19W/m2 F[OII] Predicted flux for [OII] (G1)
138-141 F4.2 10-19W/m2 F[OIII] Predicted flux for [OIII] (G1)
153-156 F4.2 10-19W/m2 FHb Predicted flux for Hβ (G1)
168-171 F4.2 --- fabs Hβ Balmer absorption factor
--------------------------------------------------------------------------------
Note (1): The galaxy identification number is from Laigle et al., 2016,
Cat. J/ApJS/224/24 .
Note (2): The logarithmic stellar mass is from Laigle et al., 2016,
Cat. J/ApJS/224/24, converted to a Salpeter (1955ApJ...121..161S 1955ApJ...121..161S)
Initial Mass Function adding 0.23dex.
--------------------------------------------------------------------------------
Byte-by-byte Description of file (#): goodss.dat
--------------------------------------------------------------------------------
Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 4 I4 --- ID Galaxy identification number
6- 16 F11.8 deg RAdeg Right ascension (J2000.0)
19- 30 F12.8 deg DEdeg Declination (J2000.0)
36- 40 F5.2 [Msun] logM Logarithmic stellar mass (1)
46- 50 F5.2 [Msun/yr] logSFR Logarithmic star formation rate
57- 60 F4.2 --- zphot Photometric redshift
67- 70 F4.2 mag AV V-band stellar extinction
77- 80 F4.2 10-19W/m2 FHa Predicted flux for Hα (G1)
87- 90 F4.2 10-19W/m2 F[OII] Predicted flux for [OII] (G1)
97-100 F4.2 10-19W/m2 F[OIII] Predicted flux for [OIII] (G1)
107-110 F4.2 10-19W/m2 FHb Predicted flux for Hβ (G1)
117-120 F4.2 --- fabs Hβ Balmer absorption factor
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Note (1): Salpeter (1955ApJ...121..161S 1955ApJ...121..161S) Initial Mass Function.
--------------------------------------------------------------------------------
Byte-by-byte Description of file: table1.dat
--------------------------------------------------------------------------------
Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 4 F4.2 10-19W/m2 Flux Limiting flux (G1)
9- 12 I4 deg-2 COSct1.4z1.8 Average counts at 1.4<z<1.8
for the COSMOS sample (COSaver1.4z1.8)
17- 20 I4 deg-2 COSco1.4z1.8 Convolution error on counts at 1.4<z<1.8
for the COSMOS sample (COSconv1.4z1.8)
25- 28 I4 deg-2 COSpo1.4z1.8 Poissonian error on counts at 1.4<z<1.8
for the COSMOS sample (COSpois1.4z1.8)
33- 36 I4 deg-2 COSmc1.4z1.8 Monte Carlo error on counts at 1.4<z<1.8
for the COSMOS sample (COSmc1.4z1.8)
41- 45 I5 deg-2 COSct0.9z1.8 Average counts at 0.9<z<1.8
for the COSMOS sample (COSaver0.9z1.8)
50- 53 I4 deg-2 COSco0.9z1.8 Convolution error on counts at 0.9<z<1.8
for the COSMOS sample (COSconv0.9z1.8)
58- 61 I4 deg-2 COSpo0.9z1.8 Poissonian error on counts at 0.9<z<1.8
for the COSMOS sample (COSpois0.9z1.8)
66- 69 I4 deg-2 COSmc0.9z1.8 Monte Carlo error on counts at 0.9<z<1.8
for the COSMOS sample (COSmc0.9z1.8)
74- 78 I5 deg-2 GOOct1.4z1.8 Average counts at 1.4<z<1.8
for the GOODS-S sample (GOOaver1.4z1.8)
83- 85 I3 deg-2 GOOco1.4z1.8 Convolution error on counts at 1.4<z<1.8
for the GOODS-S sample (GOOconv1.4z1.8)
90- 93 I4 deg-2 GOOpo1.4z1.8 Poissonian error on counts at 1.4<z<1.8
for the GOODS-S sample (GOOpois1.4z1.8)
98-101 I4 deg-2 GOOmc1.4z1.8 Monte Carlo error on counts at 1.4<z<1.8
for the GOODS-S sample (GOOmc1.4z1.8)
106-110 I5 deg-2 GOOct0.9z1.8 Average counts at 0.9<z<1.8
for the GOODS-S sample (GOOaver0.9z1.8)
115-117 I3 deg-2 GOOco0.9z1.8 Convolution error on counts at 0.9<z<1.8
for the GOODS-S sample (GOOconv0.9z1.8)
122-125 I4 deg-2 GOOpo0.9z1.8 Poissonian error on counts at 0.9<z<1.8
for the GOODS-S sample (GOOpois0.9z1.8)
130-133 I4 deg-2 GOOmc0.9z1.8 Monte Carlo error on counts at 0.9<z<1.8
for the GOODS-S sample (GOOmc0.9z1.8)
--------------------------------------------------------------------------------
Byte-by-byte Description of file: table2.dat
--------------------------------------------------------------------------------
Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 4 F4.2 10-19W/m2 Flux Limiting flux (G1)
9- 12 I4 deg-2 COSctOII Average [OII] counts at 1.4<z<1.8
for the COSMOS sample (COSaveroii)
17- 20 I4 deg-2 COScoOII Convolution error on [OII] counts at
1.4<z<1.8 for the COSMOS sample
(COSconvoii)
25- 28 I4 deg-2 COSpoOII Poissonian error on [OII] counts at 1.4<z<1.8
for the COSMOS sample (COSpoisoii)
33- 36 I4 deg-2 COSmcOII Monte Carlo error on [OII] counts at
1.4<z<1.8 for the COSMOS sample (COSmcoii)
41- 44 I4 deg-2 COSctOIII Average [OIII] counts at 1.4<z<1.8
for the COSMOS sample (COSaveroiii)
49- 52 I4 deg-2 COScoOIII Convolution error on [OIII] counts
at 1.4<z<1.8 for the COSMOS sample
(COSconvoiii)
57- 60 I4 deg-2 COSpoOIII Poissonian error on [OIII] counts at
1.4<z<1.8 for the COSMOS sample
(COSpoisoiii)
65- 68 I4 deg-2 COSmcOIII Monte Carlo error on [OIII] counts at
1.4<z<1.8 for the COSMOS sample
(COSmcoiii)
73- 77 I5 deg-2 GOOctOII Average [OII] counts at 1.4<z<1.8
for the GOODS-S sample (GOOaveroii)
82- 85 I4 deg-2 GOOcoOII Convolution error on [OII] counts at
1.4<z<1.8 for the GOODS-S sample
(GOOconvoii)
90- 93 I4 deg-2 GOOpoOII Poissonian error on [OII] counts at 1.4<z<1.8
for the GOODS-S sample (GOOpoisoii)
98-101 I4 deg-2 GOOmcOII Monte Carlo error on [OII] counts at
1.4<z<1.8 for the GOODS-S sample
(GOOmcoii)
106-110 I5 deg-2 GOOctOIII Average [OIII] counts at 1.4<z<1.8
for the GOODS-S sample (GOOaveroiii)
115-118 I4 deg-2 GOOcoOIII Convolution error on [OIII] counts at
1.4<z<1.8 for the GOODS-S sample
(GOOconvoiii)
123-126 I4 deg-2 GOOpoOIII Poissonian error on [OIII] counts at
1.4<z<1.8 for the GOODS-S sample
(GOOpoisoiii)
131-134 I4 deg-2 GOOmcOIII Monte Carlo error on [OIII] counts at
1.4<z<1.8 for the GOODS-S sample
(GOOmcoiii)
--------------------------------------------------------------------------------
Byte-by-byte Description of file: table3.dat
--------------------------------------------------------------------------------
Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 4 F4.2 10-19W/m2 Flux Limiting flux (G1)
9- 13 I5 deg-2 COSct1.4z1.8 Average counts at 1.4<z<1.8
for the COSMOS sample (COSaver1.4z1.8)
18- 21 I4 deg-2 COSco1.4z1.8 Convolution error on counts at 1.4<z<1.8
for the COSMOS sample (COSco1.4z1.8)
26- 29 I4 deg-2 COSpo1.4z1.8 Poissonian error on counts at 1.4<z<1.8
for the COSMOS sample (COSpo1.4z1.8)
34- 38 I5 deg-2 COSct0.9z1.8 Average counts at 0.9<z<1.8
for the COSMOS sample (COSaver0.9z1.8)
43- 46 I4 deg-2 COSco0.9z1.8 Convolution error on counts at 0.9<z<1.8
for the COSMOS sample (COSco0.9z1.8)
51- 54 I4 deg-2 COSpo0.9z1.8 Poissonian error on counts at 0.9<z<1.8
for the COSMOS sample (COSpo0.9z1.8)
59- 63 I5 deg-2 GOOct1.4z1.8 Average counts at 1.4<z<1.8
for the GOODS-S sample (GOOaver1.4z1.8)
68- 70 I3 deg-2 GOOco1.4z1.8 Convolution error on counts at 1.4<z<1.8
for the GOODS-S sample (GOOco1.4z1.8)
75- 77 I3 deg-2 GOOpo1.4z1.8 Poissonian error on counts at 1.4<z<1.8
for the GOODS-S sample (GOOpo1.4z1.8)
82- 86 I5 deg-2 GOOct0.9z1.8 Average counts at 0.9<z<1.8
for the GOODS-S sample (GOOaver0.9z1.8)
91- 93 I3 deg-2 GOOco0.9z1.8 Convolution error on counts at 0.9<z<1.8
for the GOODS-S sample (GOOco0.9z1.8)
98-101 I4 deg-2 GOOpo0.9z1.8 Poissonian error on counts at 0.9<z<1.8
for the GOODS-S sample (GOOpo0.9z1.8)
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Byte-by-byte Description of file: table4.dat
--------------------------------------------------------------------------------
Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 4 F4.2 10-19W/m2 Flux Limiting flux (G1)
9- 12 I4 deg-2 SBct1.4z1.8ha Average Hα counts at 1.4<z<1.8
for the GOODS-S sample
(SBaver1.4z1.8_ha)
17- 18 I2 deg-2 SBco1.4z1.8ha Convolution error on Hα counts at
1.4<z<1.8 for the GOODS-S sample
(SBconv1.4z1.8_ha)
23- 24 I2 deg-2 SBpo1.4z1.8ha Poissonian error Hα counts at
1.4<z<1.8 for the GOODS-S sample
(SBpois1.4z1.8_ha)
29- 32 I4 deg-2 SBct1.4z1.8OII Average [OII] counts at 1.4<z<1.8
for the GOODS-S sample
(SBaver1.4z1.8_oii)
37- 40 I4 deg-2 SBco1.4z1.8OII Convolution error on [OII] counts at
1.4<z<1.8 for the GOODS-S sample
(SBconv1.4z1.8_oii)
45- 48 I4 deg-2 SBpo1.4z1.8OII Poissonian error on [OII] counts at
1.4<z<1.8 for the GOODS-S sample
(SBpois1.4z1.8_oii)
53- 56 I4 deg-2 SBct1.4z1.8OIII Average [OIII] counts at 1.4<z<1.8 for
the GOODS-S sample
(SBaver1.4z1.8_oiii)
61- 64 I4 deg-2 SBco1.4z1.8OIII Convolution error on [OIII] counts at
1.4<z<1.8 for the GOODS-S sample
(SBconv1.4z1.8_oiii)
69- 72 I4 deg-2 SBpo1.4z1.8OIII Poissonian error on [OIII] counts at
1.4<z<1.8 for the GOODS-S sample
(SBpois1.4z1.8_oiii)
77- 80 I4 deg-2 SBct0.9z1.8ha Average Ha counts at 0.9<z<1.8 for the
GOODS-S sample (SBaver0.9z1.8_ha)
85- 86 I2 deg-2 SBco0.9z1.8ha Convolution error on Ha counts at
0.9<z<1.8 for the GOODS-S sample
(SBconv0.9z1.8_ha)
91- 92 I2 deg-2 SBpo0.9z1.8ha Poissonian error on Ha counts at
0.9<z<1.8 for the GOODS-S sample
(SBpois0.9z1.8_ha)
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Global notes:
Note (G1): The flux is expressed in units of 10-16mW/m2 [=10-16erg/cm2/s]
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Acknowledgements:
Francesco Valentino, francesco.valentino(at)nbi.ku.dk
(End) Francesco Valentino [NBI, Denmark], Patricia Vannier [CDS] 26-Jun-2020