Kavli Affiliate: Alexander Ji
| First 5 Authors: Michael R. Blanton, Joleen K. Carlberg, Tom Dwelly, Ilija Medan, S. Drew Chojnowski
| Summary:
We present an algorithmic method for efficiently planning a long-term,
large-scale multi-object spectroscopy program. The Sloan Digital Sky Survey V
(SDSS-V) Focal Plane System performs multi-object spectroscopy using 500
robotic positioners to place fibers feeding optical and infrared spectrographs
across a wide field. SDSS-V uses this system to observe targets throughout the
year at two observatories in support of the science goals of its Milky Way
Mapper and Black Hole Mapper programs. These science goals require observations
of objects over time with preferred temporal spacinges (referred to as
"cadences"), which can differ from object to object even in the same area of
sky. robostrategy is the software we use to construct our planned observations
so that they can best achieve the desired goals given the time available as a
function of sky brightness and local sidereal time, and to assign fibers to
targets during specific observations. We use linear programming techniques to
seek optimal allocations of time under the constraints given. We present the
methods and example results obtained with this software.
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