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Building A Scalable Global Data Processing Pipeline For Large Astronomical Photometric Datasets, Paul F. Doyle
Building A Scalable Global Data Processing Pipeline For Large Astronomical Photometric Datasets, Paul F. Doyle
Doctoral
Astronomical photometry is the science of measuring the flux of a celestial object. Since its introduction in the 1970s the CCD has been the principle method of measuring flux to calculate the apparent magnitude of an object. Each CCD image taken must go through a process of cleaning and calibration prior to its use. As the number of research telescopes increases the overall computing resources required for image processing also increases. As data archives increase in size to Petabytes, the data processing challenge requires image processing approaches to evolve to continue to exceed the growing data capture rate. Existing processing …