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Semi-analytic forecasts for JWST - VI. Simulated light-cones and galaxy clustering predictions
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Semi-analytic forecasts for JWST - VI. Simulated light-cones and galaxy clustering predictions

L. Y. Aaron Yung, Rachel S. Somerville, Henry C. Ferguson, Steven L. Finkelstein, Jonathan P. Gardner, Romeel Dave, Micaela B. Bagley, Gergo Popping 和 Peter Behroozi
Monthly notices of the Royal Astronomical Society, 卷.515(4), 頁碼.5416-5436
18/08/2022
Web of Science ID: WOS:000841942900012

摘要

Astronomy & Astrophysics Physical Sciences Science & Technology
In anticipation of the new era of high-redshift exploration marked by the commissioning of the James Webb Space Telescope (JWST), we present two sets of galaxy catalogues that are designed to aid the planning and interpretation of observing programs. We provide a set of 40 wide-field light-cones with footprints spanning approximately similar to 1000 arcmin(2) containing galaxies up to z = 10, and a new set of eight ultradeep light-cones with 132 arcmin(2) footprints, containing galaxies up to z similar to 12 down to the magnitudes expected to be reached in the deepest JWST surveys. These mock light-cones are extracted from dissipationless N-body simulations and populated with galaxies using the well-established, computationally efficient Santa Cruz semi-analytic model for galaxy formation. We provide a wide range of predicted physical properties, and simulated photometry from Near-Infrared Camera (NIRCam) and many other instruments. We explore the predicted counts and luminosity functions and angular two-point correlation functions for galaxies in these simulated light-cones. We also explore the predicted field-to-field variance using multiple light-cone realizations. We find that these light-cones reproduce the available measurements of observed clustering from 0.2 less than or similar to z less than or similar to 7.5 very well. We provide predictions for galaxy clustering at high redshift that may be obtained from future JWST observations. All of the light-cones presented here are made available through a web-based interactive data release portal.

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