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Quality Assessment of Spectroscopic Data Reduction Pipelines Using Artificial Intelligence: Scrutinizing Data Release 2 from the DESI Survey
V. Torres-Gomez, J. Suarez-Perez, J. E. Forero-Romero +45
Large spectroscopic surveys now collect data at a scale that makes traditional visual inspection impractical. We present an unsupervised pipeline for spectroscopic quality assessme…
Correcting Turbulence-induced Errors in Fiber Positioning for the Dark Energy Spectroscopic Instrument
E. F. Schlafly, J. Guy, K. Honscheid +37
Highly-multiplexed, robotic, fiber-fed spectroscopic surveys are observing tens of millions of stars and galaxies. For many systems, accurate positioning relies on imaging the fibe…
Design and performance of a Collimated Beam Projector for telescope transmission measurement using a broadband light source
K. Sommer, J. Cohen-Tanugi, B. Plez +9
Type Ia supernovae are the most direct cosmological probe to study dark energy in the recent Universe, for which the photometric calibration of astronomical instruments remains one…
Astrometric Calibration and Performance of the Dark Energy Spectroscopic Instrument Focal Plane
S. Kent, E. Neilsen, K. Honscheid +46
The Dark Energy Spectroscopic Instrument, consisting of 5020 robotic fiber positioners and associated systems on the Mayall telescope at Kitt Peak, Arizona, is carrying out a surve…
The Optical Corrector for the Dark Energy Spectroscopic Instrument
Timothy N. Miller, Peter Doel, Gaston Gutierrez +44
The Dark Energy Spectroscopic Instrument (DESI) is currently measuring the spectra of 40\,million galaxies and quasars, the largest such survey ever made to probe the nature of cos…
StarDICE I: sensor calibration bench and absolute photometric calibration of a Sony IMX411 sensor
Marc Betoule, Sarah Antier, Emmanuel Bertin +18
The Hubble diagram of type-Ia supernovae (SNe-Ia) provides cosmological constraints on the nature of dark energy with an accuracy limited by the flux calibration of currently avail…