Mock Lightcones and Theory Friendly Catalogs for the CANDELS Survey
arXiv:2102.00108 · doi:10.1093/mnras/stab231
Abstract
We present mock catalogs created to support the interpretation of the CANDELS survey. We extract halos along past lightcones from the Bolshoi Planck dissipationless N-body simulations and populate these halos with galaxies using two different independently developed semi-analytic models of galaxy formation and the empirical model UniverseMachine. Our mock catalogs have geometries that encompass the footprints of observations associated with the five CANDELS fields. In order to allow field-to-field variance to be explored, we have created eight realizations of each field. In this paper, we present comparisons with observable global galaxy properties, including counts in observed frame bands, luminosity functions, color-magnitude distributions and color-color distributions. We additionally present comparisons with physical galaxy parameters derived from SED fitting for the CANDELS observations, such as stellar masses and star formation rates. We find relatively good agreement between the model predictions and CANDELS observations for luminosity and stellar mass functions. We find poorer agreement for colors and star formation rate distributions. All of the mock lightcones as well as curated "theory friendly" versions of the observational CANDELS catalogs are made available through a web-based data hub.
22 pages, 16 figures. To appear in MNRAS
References in corpus (14)
- The Cosmic Evolution Survey (COSMOS) -- Overview
- A Highly Consistent Framework for the Evolution of the Star-Forming "Main Sequence" from z~0-6
- A Semi-Analytic Model for the Co-evolution of Galaxies, Black Holes, and Active Galactic Nuclei
- Detection of quiescent galaxies in a bicolor sequence from z=0-2
- The Hubble Ultra Deep Field
- Massloss of galaxies due to a UV-background
- Disruption of Dark Matter Substructure: Fact or Fiction?
- Dark Matter Substructure in Numerical Simulations: A Tale of Discreteness Noise, Runaway Instabilities, and Artificial Disruption
- Stellar masses from the CANDELS survey: the GOODS-South and UDS fields
- The evolution of the near-IR galaxy Luminosity Function and colour bimodality up to z ~ 2 from the UKIDSS Ultra Deep Survey Early Data Release
- CANDELS Multiwavelength Catalogs: Source Identification and Photometry in the CANDELS COSMOS Survey Field
- First results from SMAUG: Characterization of Multiphase Galactic Outflows from a Suite of Local Star-Forming Galactic Disk Simulations
- Understanding the Structural Scaling Relations of Early-Type Galaxies
- A parametric study of possible solutions to the high-redshift overproduction of stars in modeled dwarf galaxies
Cited by in corpus (37)
- A Comprehensive Study on Galaxies at z~9-16 Found in the Early JWST Data: UV Luminosity Functions and Cosmic Star-Formation History at the Pre-Reionization Epoch
- A Long Time Ago in a Galaxy Far, Far Away: A Candidate z ~ 12 Galaxy in Early JWST CEERS Imaging
- CEERS Epoch 1 NIRCam Imaging: Reduction Methods and Simulations Enabling Early JWST Science Results
- Spectroscopic Confirmation of CEERS NIRCam-selected Galaxies at
- CEERS Key Paper III: The Diversity of Galaxy Structure and Morphology at z=3-9 with JWST
- Are the ultra-high-redshift galaxies at z > 10 surprising in the context of standard galaxy formation models?
- The ultraviolet continuum slopes () of galaxies at from JWST and ground-based near-infrared imaging
- Line-Intensity Mapping: Theory Review
- Spectral Templates Optimal for Selecting Galaxies at z > 8 with JWST
- Morphologies of Galaxies at Uncovered by JWST/NIRCam Imaging: Cosmic Size Evolution and an Identification of an Extremely Compact Bright Galaxy at
- Early results from GLASS-JWST. XI: Stellar masses and mass-to-light ratio of z>7 galaxies
- Semi-analytic forecasts for JWST -- VI. Simulated lightcones and galaxy clustering predictions
- Semi-analytic forecasts for JWST -- V. AGN luminosity functions and helium reionization at z = 2-7
- : Learning Galaxy Properties from Merger Trees
- Deep Realistic Extragalactic Model (DREaM) Galaxy Catalogs: Predictions for a Roman Ultra-Deep Field
- Semi-analytic forecasts for Roman -- the beginning of a new era of deep-wide galaxy surveys
- The Stellar Mass Function in CANDELS and Frontier Fields: the build-up of low mass passive galaxies since z~3
- Density modulated star formation efficiency: implications for the observed abundance of ultra-violet luminous galaxies at z>10
- Identifying Galaxy Mergers in Simulated CEERS NIRCam Images using Random Forests
- The evolution of the SFR and Sigma-SFR of galaxies in cosmic morning (4 < z < 10)
- The MillenniumTNG Project: Semi-analytic galaxy formation models on the past lightcone
- Galaxy Formation in the Santa Cruz semi-analytic model compared with IllustrisTNG -- I. Galaxy scaling relations, dispersions, and residuals at z=0
- First Light And Reionisation Epoch Simulations (FLARES) VI: The colour evolution of galaxies
- FORECAST: a flexible software to forward model cosmological hydrodynamical simulations mimicking real observations
- Characterizing the Conditional Galaxy Property Distribution using Gaussian Mixture Models
- Disentangling the co-evolution of galaxies and supermassive black holes with PRIMA
- PEARLS: Low Stellar Density Galaxies in the El Gordo Cluster Observed with JWST
- Galaxy assembly bias and large-scale distribution: a comparison between IllustrisTNG and a semi-analytic model
- Galaxy Rest-Frame UV Colors at z ~ 2-4 with HST UVCANDELS
- Machine Learning Classification of COSMOS2020 Galaxies: Quiescent vs. Star-Forming
- Extended Enriched Gas in a Multi-Galaxy Merger at Redshift 6.7
- Galaxy Correlation Function and Local Density from Photometric Redshifts Using the Stochastic Order Redshift Technique (SORT)
- FLORAH: A generative model for halo assembly histories
- A Conditional Abundance Matching Method of Extending Simulated Halo Merger Trees to Resolve Low-Mass Progenitors and Sub-halos
- COSMOS2025: Machine Learning Classification of Early- and Late-type Galaxies at 0 < z < 3
- COSMOS2025: A Machine Learning Census of Massive Quiescent Galaxies at
- A Non-parametric Method for the Inference of Halo Occupation Distributions