J/A+A/602/A96 Number counts produced by the EGG (Schreiber+, 2017)
egg: hatching a mock Universe from empirical prescriptions.
Schreiber C., Elbaz D., Pannella M., Merlin E., Castellano M., Fontana A.,
Bourne N., Boutsia K., Cullen F., Dunlop J., Ferguson H.C.,
Michalowski M.J., Okumura K., Santini P., Shu X.W., Wang T., White C.
<Astron. Astrophys. 602, A96 (2017)>
=2017A&A...602A..96S 2017A&A...602A..96S (SIMBAD/NED BibCode)
ADC_Keywords: Galaxies, photometry ; Models
Keywords: galaxies: photometry - galaxies: evolution - galaxies: statistics -
galaxies: structure
Abstract:
This paper introduces egg, the Empirical Galaxy Generator, a tool
designed within the ASTRODEEP collaboration to generate mock galaxy
catalogs for deep fields with realistic fluxes and simple
morphologies. The simulation procedure is based exclusively on
empirical prescriptions - rather than first principles - to
provide the most accurate match with current observations at 0<z<7.
We considered that galaxies can be either quiescent or star-forming,
and used their stellar mass (M*) and redshift (z) as the fundamental
properties from which all the other observables can be statistically
derived. Drawing z and M* from the observed galaxy stellar mass
functions, a star-formation rate (SFR) is attributed to each galaxy
from the tight SFR-M* main sequence, while dust attenuation,
optical colors and simple disk plus bulge morphologies are obtained
from empirical relations that we established from the high quality
Hubble and Herschel observations from the CANDELS fields. Random
scatter was introduced in each step to reproduce the observed
distributions of each parameter. Based on these observables, an
adequate panchromatic spectral energy distribution (SED) is selected
for each galaxy and synthetic photometry is produced by integrating
the redshifted SED in common broad-band filters. Finally, the mock
galaxies are placed on the sky at random positions with a fixed
angular two-point correlation function to implement basic clustering.
The resulting flux catalogs reproduce accurately the observed number
counts in all broad bands from the ultraviolet up to the
sub-millimeter, and can be directly fed to image simulators such as
SkyMaker. The images can then be used to test source extraction
softwares and image-based techniques such as stacking. egg is
open-source, and is made available to the community on behalf of the
ASTRODEEP collaboration, together with a set of pre-generated catalogs
and images.
Description:
The Empirical Galaxy Generator (EGG) is a tool to produce mock galaxy
catalogs for deep fields. This table compiles the number counts
generated by the tool (v1.0.5) in multiple bands from the U band
(0.35um) to the millimeter (2mm). These counts were generated from
three different mock catalogs of increasing area and decreasing depth,
to obtain a large dynamic range on the fluxes. The counts only include
the contribution of the stellar and dust emission of galaxies. They do
not account for emission from ionized/atomic/molecular gas, or active
galactic nuclei, and they assume no attenuation by clouds from our own
galaxy. Differential counts are defined as dN/dlog(flux)/dV.
File Summary:
--------------------------------------------------------------------------------
FileName Lrecl Records Explanations
--------------------------------------------------------------------------------
ReadMe 80 . This file
tablec1.dat 882 78 The number counts
--------------------------------------------------------------------------------
Byte-by-byte Description of file: tablec1.dat
--------------------------------------------------------------------------------
Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
7- 18 E12.6 uJy Flux Center of flux bin (for differential counts)
or flux lower limit (for cumulative counts)
25- 36 E12.6 deg-2 dU Differential counts for the VIMOS U band
43- 54 E12.6 deg-2 cU Cumulative counts for the VIMOS U band
61- 72 E12.6 deg-2 dB Differential counts for the Hubble F435W band
79- 90 E12.6 deg-2 cB Cumulative counts for the Hubble F435W band
97-108 E12.6 deg-2 dV Differential counts for the Hubble F606W band
115-126 E12.6 deg-2 cV Cumulative counts for the Hubble F606W band
133-144 E12.6 deg-2 dI Differential counts for the Hubble F775W band
151-162 E12.6 deg-2 cI Cumulative counts for the Hubble F775W band
169-180 E12.6 deg-2 dZ Differential counts for the Hubble F850LP band
187-198 E12.6 deg-2 cZ Cumulative counts for the Hubble F850LP band
205-216 E12.6 deg-2 dY Differential counts for the Hubble F105W band
223-234 E12.6 deg-2 cY Cumulative counts for the Hubble F105W band
241-252 E12.6 deg-2 dJ Differential counts for the Hubble F125W band
259-270 E12.6 deg-2 cJ Cumulative counts for the Hubble F125W band
277-288 E12.6 deg-2 dH Differential counts for the Hubble F160W band
295-306 E12.6 deg-2 cH Cumulative counts for the Hubble F160W band
313-324 E12.6 deg-2 dKs Differential counts for the HAWK-I Ks band
331-342 E12.6 deg-2 cKs Cumulative counts for the HAWK-I Ks band
349-360 E12.6 deg-2 d3p6 Differential counts for the Spitzer 3.6um band
367-378 E12.6 deg-2 c3p6 Cumulative counts for the Spitzer 3.6um band
385-396 E12.6 deg-2 d4p5 Differential counts for the Spitzer 4.5um band
403-414 E12.6 deg-2 c4p5 Cumulative counts for the Spitzer 4.5um band
421-432 E12.6 deg-2 d5p8 Differential counts for the Spitzer 5.8um band
439-450 E12.6 deg-2 c5p8 Cumulative counts for the Spitzer 5.8um band
457-468 E12.6 deg-2 d8p0 Differential counts for the Spitzer 8um band
475-486 E12.6 deg-2 c8p0 Cumulative counts for the Spitzer 8um band
493-504 E12.6 deg-2 d16 Differential counts for the Spitzer 16um band
511-522 E12.6 deg-2 c16 Cumulative counts for the Spitzer 16um band
529-540 E12.6 deg-2 d24 Differential counts for the Spitzer 24um band
547-558 E12.6 deg-2 c24 Cumulative counts for the Spitzer 24um band
565-576 E12.6 deg-2 d70 Differential counts for the Herschel 70um band
583-594 E12.6 deg-2 c70 Cumulative counts for the Herschel 70um band
601-612 E12.6 deg-2 d100 Differential counts for the Herschel 100um band
619-630 E12.6 deg-2 c100 Cumulative counts for the Herschel 100um band
637-648 E12.6 deg-2 d160 Differential counts for the Herschel 160um band
655-666 E12.6 deg-2 c160 Cumulative counts for the Herschel 160um band
673-684 E12.6 deg-2 d250 Differential counts for the Herschel 250um band
691-702 E12.6 deg-2 c250 Cumulative counts for the Herschel 250um band
709-720 E12.6 deg-2 d350 Differential counts for the Herschel 350um band
727-738 E12.6 deg-2 c350 Cumulative counts for the Herschel 350um band
745-756 E12.6 deg-2 d500 Differential counts for the Herschel 500um band
763-774 E12.6 deg-2 c500 Cumulative counts for the Herschel 500um band
781-792 E12.6 deg-2 d870 Differential counts for the ALMA 870um band
799-810 E12.6 deg-2 c870 Cumulative counts for the ALMA 870um band
817-828 E12.6 deg-2 d1200 Differential counts for the ALMA 1.2mm band
835-846 E12.6 deg-2 c1200 Cumulative counts for the ALMA 1.2mm band
853-864 E12.6 deg-2 d2000 Differential counts for the ALMA 2mm band
871-882 E12.6 deg-2 c2000 Cumulative counts for the ALMA 2mm band
--------------------------------------------------------------------------------
Acknowledgements:
Corentin Schreiber, cschreib(at)strw.leidenuniv.nl
(End) Corentin Schreiber [Leiden Univ.], Patricia Vannier [CDS] 21-Mar-2017