Journal ArticleDOI
A first use of wavelet analysis for molecular clouds
A.G. Gill,R.N. Henriksen +1 more
TLDR
In this paper, the fractal Hausdorff dimension of the data space consisting of the centroid velocities over the x-y plane is noted to be definable as 2.35 + or - 0.01.Abstract:
In the present wavelet analysis of the C-13O spectral data from L1551's outflow region, the fractal Hausdorff dimension of the data space consisting of the centroid velocities over the x-y plane is noted to be definable as 2.35 + or - 0.01. An analysis of surface density yields a dimensional value close to 3, rather than Prasad and Sreenivasan's (1990) 2.36 + or - 0.05 for the Kolmogorov range of the turbulence associated with a water jet in quiet surroundings; this suggests that there is gas between the emissivity peaks, as supported by the larger dominant structure found for the surface density. 13 refs.read more
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Journal ArticleDOI
Control of star formation by supersonic turbulence
TL;DR: A review of the successes and problems of both the classical dynamical theory and the standard theory of magnetostatic support, from both observational and theoretical perspectives, is given in this paper.
Journal ArticleDOI
Interstellar Turbulence I: Observations and Processes
Bruce G. Elmegreen,John Scalo +1 more
TL;DR: In this article, a two-part review summarizes the observations, theory, and simulations of interstellar turbulence and their implications for many fields of astrophysics, including basic fluid equations, solenoidal and compressible modes, global inviscid quadratic invariants, scaling arguments for the power spectrum, phenomenological models for the scaling of higher-order structu...
Control of Star Formation by Supersonic Turbulence
TL;DR: A review of the successes and problems of both the classical dynamical theory and the standard theory of magnetostatic support, from both observational and theoretical perspectives, is given in this article.
Journal ArticleDOI
A Wavelet-Based Algorithm for the Spatial Analysis of Poisson Data
TL;DR: In this article, the authors proposed a wavelet-based source detection algorithm that uses the Mexican Hat wavelet function, but may be adapted for use with other wavelet functions, and demonstrate the robustness of the algorithm by applying it to an image from an idealized detector with a spatially invariant Gaussian PSF and an exposure map similar to that of the Einstein IPC.
Journal ArticleDOI
A Wavelet-Based Algorithm for the Spatial Analysis of Poisson Data
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