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| Paper: |
Map-making for the Next Generation of Ground-based Submillimeter Instruments |
| Volume: |
485, Astronomical Data Analysis Software and Systems XXIII |
| Page: |
399 |
| Authors: |
Marsden, G.; Brazier, A.; Jenness, T.; Sayers, J.; Scott, D. |
| Abstract: |
Current ground-based submillimeter (submm) instruments (e.g. SCUBA-2,
SHARC-2 and LABOCA) have hundreds to thousands of detectors, sampled
at tens to hundreds of hertz, generating up to hundreds of gigabytes per
night. Since noise is correlated between detectors and in time, due
to atmospheric signals and temperature oscillations, naive
map-making is not applicable. In addition, the size of the data sets
makes direct likelihood based inversion techniques intractable. As a
result, the data reduction approach for most current submm cameras
is to adopt iterative methods in order to separate noise from sky
signal, and hence effectively produce astronomical images. We
investigate how today's map-makers scale to the next generation of
instruments, which will have tens of thousands of detectors sampled
at thousands of hertz, leading to data sets of challenging size. We
propose strategies for reducing such large data sets. |
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