Observational requirements for Lyα forest tomographic mapping of large-scale structure at z ∼ 2

69Citations
Citations of this article
37Readers
Mendeley users who have this article in their library.

Abstract

The z ≳ 2 Lyα forest traces the underlying dark matter distribution on large scales and, given sufficient sightlines, can be used to create three-dimensional (3D) maps of large-scale structures. We examine the observational requirements to construct such maps and estimate the signal-to-noise as a function of exposure time and sightline density. Sightline densities at z = 2.25 are n los [360, 1200, 3300] deg-2 at limiting magnitudes of g = [24.0, 24.5, 25.0], resulting in transverse sightline separations of 〈d 〉 [3.6, 1.9, 1.2] h -1 Mpc, which roughly sets the reconstruction scale. We simulate these reconstructions using mock spectra with realistic noise properties and find that spectra with S/N 4 per angstrom can be used to generate maps that clearly trace the underlying dark matter at overdensities of ρ/〈ρ〉 ∼ 1. For the VLT/VIMOS spectrograph, exposure times t exp = [4, 6, 10] hr are sufficient for maps with spatial resolution ε3D = [5.0, 3.2, 2.3] h -1 Mpc. Assuming ∼250 h -1 Mpc is probed along the line of sight, 1 deg 2 of survey area would cover a comoving volume of 106 h -3 Mpc3 at 〈z〉 ∼ 2.3, enabling the efficient mapping of large volumes with 8-10 m telescopes. These maps could be used to study galaxy environments, the topology of large-scale structures at high z, and to detect proto-clusters. © 2014. The American Astronomical Society. All rights reserved..

Cite

CITATION STYLE

APA

Lee, K. G., Hennawi, J. F., White, M., Croft, R. A. C., & Ozbek, M. (2014). Observational requirements for Lyα forest tomographic mapping of large-scale structure at z ∼ 2. Astrophysical Journal, 788(1). https://doi.org/10.1088/0004-637X/788/1/49

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free