2008/04/29 by V. Ossenkopf, M. Krips, J. Stutzki +1 · 3 citations
Chemistry · Earth and Planetary Sciences · Mathematics · Physics and Astronomy · #Algorithm #Artificial intelligence #Astrophysics and Star Formation Studies #Atmospheric Ozone and Climate #Computation #Computer science #Context (archaeology) #Convolution (computer science) #Data mining #Geology #Geometry #Mathematics #Measure (data warehouse) #Meteorology #Physics #Scaling #Spectroscopy and Laser Applications #Statistical physics #Turbulence #Wavelet #astro-ph
paper · pdf · doi:10.1051/0004-6361:20079106
Accepted for publication in A&A, Sect. 13
arxiv created 2008/04/29 · openalex publication_date 2008/05/06 · arxiv updated 2009/12/01 · openalex created_date 2022/10/01 · openalex updated_date 2026/07/31
Context. The Δ-variance analysis, introduced as a wavelet-based measure for the statistical scaling of structures in astronomical maps, has proven to be an efficient and accurate method of characterising the power spectrum of interstellar turbulence. It has been applied to observed molecular cloud maps and corresponding simulated maps generated from turbulent cloud models. The implementation presently in use, however, has several shortcomings. It does not take into account the different degree of uncertainty of map values for different points in the map, its computation by convolution in spatial coordinates is very time-consuming, and the selection of the wavelet is somewhat arbitrary and does not provide an exact value for the scales traced.