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astro-ph.IM2026
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…
astro-ph.IM2024
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…