MAMMOTH-Subaru V. Effects of Cosmic Variance on Ly$α$ Luminosity Functions at $z=2.2-2.3$ [GA]

http://arxiv.org/abs/2301.07360


Cosmic variance introduces significant uncertainties into galaxy number density properties when surveying the high-z Universe with a small volume, such uncertainties produce the field-to-field variance of galaxy number $\sigma_{g}$ in observational astronomy. This uncertainty significantly affects the Luminosity Functions (LF) measurement of Lya Emitters (LAEs). For most previous Lya LF studies, $\sigma_{g}$ is often adopted from predictions by cosmological simulations, but barely confirmed by observations. Measuring cosmic variance requires a huge sample over a large volume, exceeding the capabilities of most astronomical instruments. In this study, we demonstrate an observational approach for measuring the cosmic variance contribution for $z\approx2.2$ Lya LFs. The LAE candidates are observed using narrowband and broadband of the Subaru/Hyper Suprime-Cam (HSC), with 8 independent fields, making the total survey area $\simeq11.62$deg$^2$ and a comoving volume of $\simeq8.71\times10^6$Mpc$^3$. These eight fields are selected using the project of MAMMOTH. We report a best-fit Schechter function with parameters $\alpha=-1.75$ (fixed), $L_{Ly\alpha}^{}=5.18_{-0.40}^{+0.43} \times 10^{42}$erg s$^{-1}$ and $\phi_{Lya}^{}=4.87_{-0.55}^{+0.54}\times10^{-4}$Mpc$^{-3}$ for the overall Lya LFs. After clipping out the regions that can bias the cosmic variance measurements, we calculate $\sigma_{g}$, by sampling LAEs within multiple pointings assigned on the field image. We investigate the relation between $\sigma_{g}$ and survey volume $V$, and fit a simple power law: $\sigma_g=k\times(\frac{V_{\rm eff}}{10^5 {\rm Mpc}^3})^{\beta}$. We find best-fit values of $-1.209_{-0.106}^{+0.106}$ for $\beta$ and $0.986_{-0.100}^{+0.108}$ for k. We compare our measurements with predictions from simulations and find that the cosmic variance of LAEs might be larger than that of general star-forming galaxies.

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K. Ma, H. Zhang, Z. Cai, et. al.
Thu, 19 Jan 23
44/100

Comments: 14 pages, 7 figures