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| Paper: |
Prediction of Observing Conditions for DES Exposure Scheduling |
| Volume: |
461, Astronomical Data Analysis Software and Systems XXI |
| Page: |
201 |
| Authors: |
Neilsen, Jr., E. H. |
| Abstract: |
Delivered sky brightness and atmospheric seeing are two important
factors in the optimal scheduling of observations in large observing
programs, but are less well studied than spherical astronomy. In the
Dark Energy Survey (DES), planning software needs to optimize over the
requirements of each of its science programs. For example, observing
cadence is the primary factor in supernova detection, whereas seeing
is the most important factor in weak lensing measurements. Delivered
sky brightness is an important factor in filter and field selection for all
programs. I describe models for the short timescale (5 minute)
evolution of seeing and delivered sky brightness, and parametrize and
test these models using data from CTIO and Apache Point
Observatory. |
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