Kavli Affiliate: Alexander Ji
| First 5 Authors: Ilija Medan, Tom Dwelly, Kevin R. Covey, Eleonora Zari, Michael R. Blanton
| Summary:
One crucial aspect of planning any large scale astronomical survey is
constructing an observing strategy that maximizes reduced data quality. This is
especially important for surveys that are rather heterogeneous and
broad-ranging in their science goals. The Sloan Digital Sky Survey V (SDSS-V),
which now utilizes the Focal Plane System (FPS) to robotically place fibers
that feed the spectrographs, certainly meets these criteria. The addition of
the FPS facilities an increase in survey efficiency, number of targets and
target diversity, but also means the positions of fibers must be constrained to
allow for simultaneous observations of sometimes competing programs. The
constraints on the positions of the fibers are clearly driven by properties of
the science targets e.g., the type of target, brightness of the target,
position of the target relative to others in the field, etc. The parameters
used to describe these constraints will also depend on the intended science
goal of the observation, which will vary with the types of objects requested
for the particular observation and the planned sky conditions for the
observation. In this work, we detail the SDSS-V data collection scenarios,
which consist of sets of parameters that serve as the framework for
constraining fiber placements. The numerical values of these parameters were
set based on either past experiences or from a series of new tests, which we
describe in detail here. These parameters allow a survey like SDSS-V to be
algorithmically planned to maximize the science output, while guaranteeing data
quality throughout its operation.
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