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Robotic Spectroscopy at the Dark Sky Observatory

Daniel Rosenberg, R. O. Gray, Jonathan Mashburn, Aaron W. Swenson, Courtney McGahee, Michael M. Briley

Year
2018
Citations
1
Access
Open access

Abstract

Spectroscopic observations using the classification-resolution Gray-Miller spectrograph attached to the Dark Sky Observatory 32 inch telescope (Appalachian State University, North Carolina) have been automated with a robotic script called the "Robotic Spectroscopist" (RS). RS runs autonomously during the night and controls all operations related to spectroscopic observing. At the heart of RS are a number of algorithms that first select and center the target star in the field of an imaging camera and then on the spectrograph slit. RS monitors the observatory weather station, and suspends operations and closes the dome when weather conditions warrant, and can reopen and resume observations when the weather improves. RS selects targets from a list using a queue-observing protocol based on observer-assigned priorities, but also uses target-selection criteria based on weather conditions, especially seeing. At the end of the night RS transfers the data files to the main campus, where they are reduced with an automatic pipeline. Our experience has shown that RS is more efficient and consistent than a human observer, and produces data sets that are ideal for automatic reduction. RS should be adaptable for use at other similar observatories, and so we are making the code freely available to the astronomical community.

Keywords

ObservatoryTelescopeComputer scienceSkySpectrographRemote sensingArtificial intelligencePhysicsMeteorologyAstronomy

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