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BEACON: JWST NIRCam Pure-parallel Imaging Survey. I. Survey Design and Initial Results

Abstract:
We introduce the Bias-free Extragalactic Analysis for Cosmic Origins with NIRCam (BEACON) survey, a JWST Cycle 2 program allocated up to 600 pure-parallel hours of observations. BEACON explores high-latitude areas of the sky with JWST/NIRCam over ∼100 independent sight lines, totaling ∼0.3 deg2, reaching a median F444W depth of ≈28.2 AB mag (5σ). Based on existing JWST observations in legacy fields, we estimate that BEACON will photometrically identify 25–150 galaxies at z > 10 and 500–1000 at z ∼ 7–10 uniquely enabled by an efficient multiple filter configuration spanning 0.9–5.0 μm. The expected sample size of z > 10 galaxies will allow us to obtain robust number density estimates and to discriminate between different models of early star formation. In this paper, we present an overview of the survey design and initial results using the first 19 fields. We present 129 galaxy candidates at z ≳7 identified in those fields, including 11 galaxies at z ≳10 and several UV-luminous (MUV < −21 mag) galaxies at z ∼ 8. The number densities of z < 13 galaxies inferred from the initial fields are overall consistent with those in the literature. Despite reaching a considerably large volume (∼105 Mpc3), however, we find no galaxy candidates at z > 13, providing us with a complimentary insight into early galaxy evolution with minimal cosmic variance. We publish imaging and catalog data products for these initial fields. Upon survey completion, all BEACON data will be coherently processed and distributed to the community along with catalogs for redshift and other physical quantities.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3847/1538-4357/adbbdc

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Author
ORCID:
0000-0002-8512-1404
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ORCID:
0000-0002-3407-1785
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ORCID:
0009-0005-9953-433X
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ORCID:
0000-0001-9391-305X
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ORCID:
0000-0002-8460-0390


Publisher:
American Astronomical Society
Journal:
The Astrophysical Journal More from this journal
Volume:
983
Issue:
2
Article number:
152
Publication date:
2025-04-16
Acceptance date:
2025-02-28
DOI:
EISSN:
1538-4357
ISSN:
0004-637X


Language:
English
Keywords:
Source identifiers:
2866056
Deposit date:
2025-04-17
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