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Title: Detection of z ~ 2.3 Cosmic Voids from 3D Ly α Forest Tomography in the COSMOS Field

Abstract

We present the most distant detection of cosmic voids ( z ~ 2.3) and the first detection of three-dimensional voids in the Lyα forest. We used a 3D tomographic map of the absorption with an effective comoving spatial resolution of 2.5 h -1 Mpc and a volume of 3.15 × 10 5 h 3 Mpc 3, which was reconstructed from moderate-resolution Keck I/LRIS spectra of 240 background Lyman-break galaxies and quasars in a 0.16 deg 2 footprint in the COSMOS field. Voids were detected using a spherical overdensity finder calibrated from hydrodynamical simulations of the intergalactic medium (IGM). This allows us to identify voids in the IGM corresponding to voids in the underlying matter density field, yielding a consistent volume fraction of voids in both data (19.5%) and simulations (18.2%). We fit excursion set models to the void radius function and compare the radially averaged stacked profiles of large voids ( r > 5 h -1 Mpc) to stacked voids in mock observations and the simulated density field. Comparing with 432 coeval galaxies with spectroscopic redshifts in the same volume as the tomographic map, we find that the tomography-identified voids are underdense in galaxies by 5.95σ compared to random cells.

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [4]; ORCiD logo [2]; ORCiD logo [3];  [2]; ORCiD logo [5]; ORCiD logo [6];  [7];  [8]; ORCiD logo [9];  [10]; ORCiD logo [11];  [7]
  1. Univ. of California, Berkeley, CA (United States)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  3. Univ. of California, Berkeley, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  4. Univ. of California, Santa Barbara, CA (United States)
  5. Google Inc., Moutain View, CA (United States)
  6. Space Telescope Science Inst., Baltimore, MD (United States)
  7. Aix-Marseille Univ., and CNRS/IN2P3, Marseille (France)
  8. Aix-Marseille Univ., and CNRS/IN2P3, Marseille (France); Univ. of California, Davis, CA (United States)
  9. Univ. of Vienna (Austria)
  10. Univ. of California, Los Angeles, CA (United States)
  11. Max Planck Inst. fur Extraterrestrische Physik, Garching (Germany)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25); National Aeronautics and Space Administration (NASA)
OSTI Identifier:
1526532
Alternate Identifier(s):
OSTI ID: 1594744
Grant/Contract Number:  
[AC02-05CH11231; HF2-51361; NAS5-26555; SC0017860]
Resource Type:
Accepted Manuscript
Journal Name:
The Astrophysical Journal (Online)
Additional Journal Information:
[Journal Name: The Astrophysical Journal (Online); Journal Volume: 861; Journal Issue: 1]; Journal ID: ISSN 1538-4357
Publisher:
Institute of Physics (IOP)
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS

Citation Formats

Krolewski, Alex, Lee, Khee-Gan, White, Martin, Hennawi, Joseph F., Schlegel, David J., Nugent, Peter E., Lukić, Zarija, Stark, Casey W., Koekemoer, Anton M., Fèvre, Olivier Le, Lemaux, Brian C., Maier, Christian, Rich, R. Michael, Salvato, Mara, and Tasca, Lidia. Detection of z ~ 2.3 Cosmic Voids from 3D Ly α Forest Tomography in the COSMOS Field. United States: N. p., 2018. Web. doi:10.3847/1538-4357/aac829.
Krolewski, Alex, Lee, Khee-Gan, White, Martin, Hennawi, Joseph F., Schlegel, David J., Nugent, Peter E., Lukić, Zarija, Stark, Casey W., Koekemoer, Anton M., Fèvre, Olivier Le, Lemaux, Brian C., Maier, Christian, Rich, R. Michael, Salvato, Mara, & Tasca, Lidia. Detection of z ~ 2.3 Cosmic Voids from 3D Ly α Forest Tomography in the COSMOS Field. United States. doi:10.3847/1538-4357/aac829.
Krolewski, Alex, Lee, Khee-Gan, White, Martin, Hennawi, Joseph F., Schlegel, David J., Nugent, Peter E., Lukić, Zarija, Stark, Casey W., Koekemoer, Anton M., Fèvre, Olivier Le, Lemaux, Brian C., Maier, Christian, Rich, R. Michael, Salvato, Mara, and Tasca, Lidia. Tue . "Detection of z ~ 2.3 Cosmic Voids from 3D Ly α Forest Tomography in the COSMOS Field". United States. doi:10.3847/1538-4357/aac829. https://www.osti.gov/servlets/purl/1526532.
@article{osti_1526532,
title = {Detection of z ~ 2.3 Cosmic Voids from 3D Ly α Forest Tomography in the COSMOS Field},
author = {Krolewski, Alex and Lee, Khee-Gan and White, Martin and Hennawi, Joseph F. and Schlegel, David J. and Nugent, Peter E. and Lukić, Zarija and Stark, Casey W. and Koekemoer, Anton M. and Fèvre, Olivier Le and Lemaux, Brian C. and Maier, Christian and Rich, R. Michael and Salvato, Mara and Tasca, Lidia},
abstractNote = {We present the most distant detection of cosmic voids (z ~ 2.3) and the first detection of three-dimensional voids in the Lyα forest. We used a 3D tomographic map of the absorption with an effective comoving spatial resolution of 2.5 h-1 Mpc and a volume of 3.15 × 105 h3 Mpc3, which was reconstructed from moderate-resolution Keck I/LRIS spectra of 240 background Lyman-break galaxies and quasars in a 0.16 deg2 footprint in the COSMOS field. Voids were detected using a spherical overdensity finder calibrated from hydrodynamical simulations of the intergalactic medium (IGM). This allows us to identify voids in the IGM corresponding to voids in the underlying matter density field, yielding a consistent volume fraction of voids in both data (19.5%) and simulations (18.2%). We fit excursion set models to the void radius function and compare the radially averaged stacked profiles of large voids (r > 5 h-1 Mpc) to stacked voids in mock observations and the simulated density field. Comparing with 432 coeval galaxies with spectroscopic redshifts in the same volume as the tomographic map, we find that the tomography-identified voids are underdense in galaxies by 5.95σ compared to random cells.},
doi = {10.3847/1538-4357/aac829},
journal = {The Astrophysical Journal (Online)},
number = [1],
volume = [861],
place = {United States},
year = {2018},
month = {7}
}

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