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| Paper: |
Minimal Re-computation for Exploratory Data Analysis in Astronomy |
| Volume: |
522, Astronomical Data Analysis Software and Systems XXVII |
| Page: |
129 |
| Authors: |
Nikolic, B.; Small, D.; Kettenis, M. |
| Abstract: |
We present a technique to automatically minimise the re-computation
when a data processing program is iteratively changed, or added to,
as is often the case in exploratory data analysis in radio
astronomy. A typical example is flagging and calibration of
demanding or unusual observations where visual inspection suggests
improvement to the processing strategy. The technique is based on
memoization and referentially transparent tasks. We describe a
prototype implementation for the CASA data reduction package. This
technique improves the efficiency of data analysis while reducing
the possibility for user error and improving the reproducibility of
the final result. |
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