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Ly α Intensity Mapping in HETDEX: Galaxy-Ly α Intensity Cross-power Spectrum

Abstract:
We present a measurement of the Lyα intensity mapping power spectrum from the Hobby-Eberly Telescope Dark Energy Experiment (HETDEX). We measure the cross-power spectrum of the Lyα intensity and Lyα-emitting galaxies (LAEs) in a redshift range of 1.9 ≤ z ≤ 3.5. We calculate the intensity from HETDEX spectra that do not contain any detected LAEs above a signal-to-noise ratio of 5.5. To produce a power spectrum model and its covariance matrix, we simulate the data using lognormal mocks for the LAE catalog and Lyα intensity in redshift space. The simulations include the HETDEX sensitivity, selection function, and mask. The measurements yield the product of the LAE bias, the intensity bias, the mean intensity of undetected sources, and the ratio of the actual and fiducial redshift-space distortion parameters, bgbI〈I〉F¯RSD/F¯RSDfid= (6.7 ± 3.1), (11.7 ± 1.4), and (8.3 ± 1.5) × 10−22 erg s−1 cm−2 arcsec−2 Å−1 in three redshift bins centered at z¯=2.1 , 2.6, and 3.2, respectively. The results are reasonably consistent with cosmological hydrodynamical simulations that include Lyα radiative transfer. They are, however, significantly smaller than previous results from cross-correlations of quasars with Lyα intensity. These results demonstrate the statistical power of HETDEX for Lyα intensity mapping and pave the way for a more comprehensive analysis. They will also be useful for constraining models of Lyα emission from galaxies used in modern cosmological simulations of galaxy formation and evolution.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3847/1538-4357/ae3a98

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ORCID:
0000-0002-6907-8370
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ORCID:
0000-0002-0136-2404
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ORCID:
0000-0002-0961-4653
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ORCID:
0000-0002-0885-8090
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ORCID:
0000-0002-1328-0211


Publisher:
American Astronomical Society
Journal:
The Astrophysical Journal More from this journal
Volume:
999
Issue:
2
Pages:
177
Article number:
177
Publication date:
2026-03-03
Acceptance date:
2026-01-15
DOI:
EISSN:
1538-4357
ISSN:
0004637X, 0004-637X


Language:
English
Keywords:
Pubs id:
2390781
Local pid:
pubs:2390781
Source identifiers:
3817033
Deposit date:
2026-03-03
ARK identifier:
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