The power spectrum and structure function of the Gamma Ray emission from the Large Magellanic Cloud
Daniel Besserglik, Itzhak Goldman

TL;DR
This study analyzes Fermi-LAT gamma-ray data from the Large Magellanic Cloud, revealing large-scale correlations and turbulence characteristics in star-forming regions through power spectrum and structure function analysis.
Contribution
It provides the first detailed analysis of gamma-ray spatial correlations in the LMC, indicating large-scale turbulence and underlying physical processes.
Findings
Detection of large-scale spatial correlations in gamma-ray emission
Power spectrum slopes suggestive of compressible turbulence
Turbulent region depth estimated at about 1.5 kpc
Abstract
The Fermi-LAT observational data of the diffuse ray emission from the Large Magellanic Cloud (LMC), were examined to test for the existence of underlying long range correlations. A statistical test applied to the data indicated that the probability that data are random is . Thus we proceeded and have used the counts-number data to compute 2D spatial autocorrelation, power spectrum, and structure function. The most important result of the present study is a clear indication for large scale spatial underlying correlations. This is evident in {\bf all} the functions mentioned above. The 2D power spectrum has a logarithmic slope of -3 on large spatial scales and a logarithmic slope of -4 on small spatial scales. The structure function has logarithmic slopes equaling 1 and 2 for the large and small scales respectively. The logarithmic slopes of the structure…
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