Overview of the DESI Legacy Imaging Surveys
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Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
- Teacher spread
- 0.205 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
Abstract The DESI Legacy Imaging Surveys ( http://legacysurvey.org/ ) are a combination of three public projects (the Dark Energy Camera Legacy Survey, the Beijing–Arizona Sky Survey, and the Mayall z -band Legacy Survey) that will jointly image ≈14,000 deg 2 of the extragalactic sky visible from the northern hemisphere in three optical bands ( g , r , and z ) using telescopes at the Kitt Peak National Observatory and the Cerro Tololo Inter-American Observatory. The combined survey footprint is split into two contiguous areas by the Galactic plane. The optical imaging is conducted using a unique strategy of dynamically adjusting the exposure times and pointing selection during observing that results in a survey of nearly uniform depth. In addition to calibrated images, the project is delivering a catalog, constructed by using a probabilistic inference-based approach to estimate source shapes and brightnesses. The catalog includes photometry from the grz optical bands and from four mid-infrared bands (at 3.4, 4.6, 12, and 22 μ m) observed by the Wide-field Infrared Survey Explorer satellite during its full operational lifetime. The project plans two public data releases each year. All the software used to generate the catalogs is also released with the data. This paper provides an overview of the Legacy Surveys project.
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The record
- Venue
- The Astronomical Journal
- Topic
- CCD and CMOS Imaging Sensors
- Field
- Engineering
- Canadian institutions
- University of TorontoPerimeter Institute
- Funders
- Radcliffe Institute for Advanced Study, Harvard UniversityOffice of ScienceChinese Academy of SciencesNational Natural Science Foundation of ChinaScience and Technology Facilities CouncilEuropean CommissionNational Energy Research Scientific Computing CenterAspen Center for PhysicsU.S. Department of EnergyNational Science Foundation
- Keywords
- SkyObservatoryPhotometry (optics)SoftwareSatelliteTelescopeData archiveInfrared
- Has abstract in OpenAlex
- yes