Constraining the Halo Mass of Damped Lyα Absorption Systems (DLAs) at z = 2–3.5 Using the Quasar-CMB Lensing Cross-correlation
Abstract
We study the cross-correlation of damped Lyα systems (DLAs) and their background quasars, using the most updated DLA catalog and the Planck 2018 CMB lensing convergence field. Our measurement suggests that the DLA bias bDLA is smaller than 3.1, corresponding to log (M/M⊙ h-1) ⩽ 12.3 at a confidence of 90%. These constraints are broadly consistent with Alonso et al. and previous measurements by cross-correlation between DLAs and the Lyα forest (e.g., Font-Ribera et al.; Prez-Rfols et al.). Further, our results demonstrate the potential of obtaining a more precise measurement of the halo mass of the high-redshift sources using next generation CMB experiments with a higher angular resolution. The python-based codes and data products of our analysis are available at https://github.com/LittleLin1999/CMB-lensingxDLA.
- Authors:
-
[1];
[2];
[3];
[4];
[5]
- Tsinghua Univ., Beijing (China); Peking Univ., Beijing (China)
- Tsinghua Univ., Beijing (China)
- Flatiron Inst., New York, NY (United States)
- Univ. of California, Berkeley, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC); National Key Research and Development Program of China
- OSTI Identifier:
- 1762256
- Grant/Contract Number:
- AC02-05CH11231; 2018YFA0404503
- Resource Type:
- Accepted Manuscript
- Journal Name:
- The Astrophysical Journal (Online)
- Additional Journal Information:
- Journal Name: The Astrophysical Journal (Online); Journal Volume: 905; Journal Issue: 2; Journal ID: ISSN 1538-4357
- Publisher:
- Institute of Physics (IOP)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 79 ASTRONOMY AND ASTROPHYSICS
Citation Formats
Lin, Xiaojing, Cai, Zheng, Li, Yin, Krolewski, Alex, and Ferraro, Simone. Constraining the Halo Mass of Damped Lyα Absorption Systems (DLAs) at z = 2–3.5 Using the Quasar-CMB Lensing Cross-correlation. United States: N. p., 2020.
Web. doi:10.3847/1538-4357/abc620.
Lin, Xiaojing, Cai, Zheng, Li, Yin, Krolewski, Alex, & Ferraro, Simone. Constraining the Halo Mass of Damped Lyα Absorption Systems (DLAs) at z = 2–3.5 Using the Quasar-CMB Lensing Cross-correlation. United States. https://doi.org/10.3847/1538-4357/abc620
Lin, Xiaojing, Cai, Zheng, Li, Yin, Krolewski, Alex, and Ferraro, Simone. Mon .
"Constraining the Halo Mass of Damped Lyα Absorption Systems (DLAs) at z = 2–3.5 Using the Quasar-CMB Lensing Cross-correlation". United States. https://doi.org/10.3847/1538-4357/abc620. https://www.osti.gov/servlets/purl/1762256.
@article{osti_1762256,
title = {Constraining the Halo Mass of Damped Lyα Absorption Systems (DLAs) at z = 2–3.5 Using the Quasar-CMB Lensing Cross-correlation},
author = {Lin, Xiaojing and Cai, Zheng and Li, Yin and Krolewski, Alex and Ferraro, Simone},
abstractNote = {We study the cross-correlation of damped Lyα systems (DLAs) and their background quasars, using the most updated DLA catalog and the Planck 2018 CMB lensing convergence field. Our measurement suggests that the DLA bias bDLA is smaller than 3.1, corresponding to log (M/M⊙ h-1) ⩽ 12.3 at a confidence of 90%. These constraints are broadly consistent with Alonso et al. and previous measurements by cross-correlation between DLAs and the Lyα forest (e.g., Font-Ribera et al.; Prez-Rfols et al.). Further, our results demonstrate the potential of obtaining a more precise measurement of the halo mass of the high-redshift sources using next generation CMB experiments with a higher angular resolution. The python-based codes and data products of our analysis are available at https://github.com/LittleLin1999/CMB-lensingxDLA.},
doi = {10.3847/1538-4357/abc620},
journal = {The Astrophysical Journal (Online)},
number = 2,
volume = 905,
place = {United States},
year = {Mon Dec 28 00:00:00 EST 2020},
month = {Mon Dec 28 00:00:00 EST 2020}
}
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