2004/01/27 by Piotr Lubinski, Piotr Lubiński · 1 citation
Computer Science · Engineering · Physics and Astronomy · #Blind Source Separation Techniques #Direction-of-Arrival Estimation Techniques #Remote-Sensing Image Classification #astro-ph
paper · pdf · doi:10.1111/j.1365-2966.2004.07669.x
published as Mon.Not.Roy.Astron.Soc. 350 (2004) 596 · 14 pages, 13 figures, LaTeX mn2e MNRAS style, accepted for publication in MNRAS
arxiv created 2004/01/27 · openalex publication_date 2004/04/27 · arxiv updated 2009/12/01 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
The methods of obtaining the average spectral shape in a low statistics regime are presented. Different approaches to averaging are extensively tested with simulated spectra, based on the ASCA responses. The issue of binning up the spectrum before fitting is discussed together with the choice of statistic used to model the spectral shape. The best results are obtained with methods in which input data are represented by probability density functions. Application of weights, representing the coverage between the input and output bins, slightly improves the resolution of averaging.