Fully Automated Approaches to Analyze Large-Scale Astronomy Survey Data - Astrophysics > Instrumentation and Methods for AstrophysicsReport as inadecuate




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Abstract: Observational astronomy has changed drastically in the last decade: manuallydriven target-by-target instruments have been replaced by fully automatedrobotic telescopes. Data acquisition methods have advanced to the point thatterabytes of data are flowing in and being stored on a daily basis. At the sametime, the vast majority of analysis tools in stellar astrophysics still rely onmanual expert interaction. To bridge this gap, we foresee that the next decadewill witness a fundamental shift in the approaches to data analysis:case-by-case methods will be replaced by fully automated pipelines that willprocess the data from their reduction stage, through analysis, to storage.While major effort has been invested in data reduction automation, automateddata analysis has mostly been neglected despite the urgent need. Scientificdata mining will face serious challenges to identify, understand and eliminatethe sources of systematic errors that will arise from this automation. As aspecial case, we present an artificial intelligence AI driven pipeline thatis prototyped in the domain of stellar astrophysics eclipsing binaries inparticular, current results and the challenges still ahead.



Author: A. Prsa, E. F. Guinan, E. J. Devinney, S. G. Engle, M. DeGeorge, G. P. McCook, P. A. Maurone, J. Pepper, D. J. James, D. H. Brads

Source: https://arxiv.org/



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