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The FAST Hipparcos Data Reduction Consortium: overview of the reduction software

J. Kovalevsky, J. L. Falin, J. L. Piéplu, P. L. Bernacca, Francesco Donati, M. Frœschlé, I. Galligani, F. Mignard, B. Morando, M. A. C. Perryman, H. Schrijver, Va Daalen D.T, H. van der Marel, M. Villenave, H. G. Walter, M. Badiali, L. Borrello, W. N. Brouw, Enrico Canuto, A. Guerry, R. Hering, C. Huc, D. Iorio-Fili, P. Lacroute, M. Lattanzi, R.S. Le Poole, F. P. Murgolo, R. A. Preston, S. Roser, F. Sanso', R. Wilen, P. Belforte, H. -H. Bernstein, B. Bucciarelli, D. Cardini, A. Emanule, B. Fassino, H. Lenhart, Lestrade J.F, G. Prezioso, T. Tommasini Montanari

Open publisher page 21 citations

Abstract

The main features of the data analysis methods adopted by FAST in the calibration and processing of the Hipparcos data are discussed. The structure of the data reduction software is examined, and the actual processing and evaluation are presented. Attention is given to the first look task, the calibration task, data preparation, attitude determination, the great circle reduction, synthesis treatment, iterations, data management and command software, and follow-up and evaluation activities.

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What this paper is about

The main features of the data analysis methods adopted by FAST in the calibration and processing of the Hipparcos data are discussed. The structure of the data reduction software is examined, and the actual processing and evaluation are presented. Attention is given to the first look task, the calibration task, data preparation, attitude determination, the great circle reduction, synthesis treatment, iterations, data management and command software, and follow-up and evaluation activities.

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OpenAlex reports 21 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The main features of the data analysis methods adopted by FAST in the calibration and processing of the Hipparcos data are discussed. The structure of the data reduction software is examined, and the actual processing and evaluation are presented. Attention is given to the first look task, the calibration task, data preparation, attitude determination, the great circle reduction, synthesis treatment, iterations, data management and command software, and follow-up and evaluation activities.

Key concepts: Data reduction, Reduction (mathematics), Software, Task (project management), Calibration, Data processing, Physics, Data mining

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