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6 papers · 2 filters
Dark Energy Survey Year 3 Results: Point-Spread Function Modeling
M. Jarvis, G. M. Bernstein, A. Amon +79
We introduce a new software package for modeling the point-spread function (PSF) of astronomical images, called Piff (PSFs In the Full FOV), which we apply to the first three years…
Reducing ground-based astrometric errors with Gaia and Gaussian processes
W. F. Fortino, G. M. Bernstein, P. H. Bernardinelli +64
Stochastic field distortions caused by atmospheric turbulence are a fundamental limitation to the astrometric accuracy of ground-based imaging. This distortion field is measurable…
Noise from Undetected Sources in Dark Energy Survey Images
K. Eckert, G. M. Bernstein, A. Amara +66
For ground-based optical imaging with current CCD technology, the Poisson fluctuations in source and sky background photon arrivals dominate the noise budget and are readily estima…
Cloud Identification from All-sky Camera Data with Machine Learning
Michael Mommert
Most ground-based observatories are equipped with wide-angle all-sky cameras to monitor the night sky conditions. Such camera systems can be used to provide early warning of incomi…
Performance Verification of the EXtreme PREcision Spectrograph
Ryan T. Blackman, Debra A. Fischer, Colby A. Jurgenson +25
The EXtreme PREcision Spectrograph (EXPRES) is a new Doppler spectrograph designed to reach a radial velocity measurement precision sufficient to detect Earth-like exoplanets orbit…
An Extreme Precision Radial Velocity Pipeline: First Radial Velocities from EXPRES
Ryan R. Petersburg, J. M. Joel Ong, Lily L. Zhao +13
The EXtreme PREcision Spectrograph (EXPRES) is an environmentally stabilized, fiber-fed, , optical spectrograph. It was recently commissioned at the 4.3-m Lowell Discove…