Statistical Tools of Interstellar Turbulence: Bridging the Gap Between Numerics and Observations

TL;DR

This paper discusses the importance of statistical tools in understanding interstellar turbulence, bridging the gap between numerical simulations and observations in astrophysics.

Contribution

It advocates for the development and application of statistical techniques to better connect numerical models with observational data of interstellar turbulence.

Findings

Review of recent statistical methods for gas compressibility and magnetization

Highlighting the need for new statistical tools in astrophysical turbulence studies

Emphasizing the role of statistics in interpreting complex observational data

Abstract

MHD Turbulence is a critical component of the current paradigms of star formation, particle transport, magnetic reconnection and evolution of the ISM. Progress on this difficult subject is made via numerical simulations and observational studies. However, due to limitations of resolution, scale discrepancies, and complexity of the observations, the best approach for connecting numerics to observations is not always obvious. Here we advocate for a approach that invokes statistical techniques to understand the underlying physics of turbulent astrophysical systems. The wealth of numerical and observational data calls for new statistical tools to be developed in order to study turbulence in the interstellar medium. We briefly review some of the recently developed statistics that focus on characterizing gas compressibility and magnetization and their uses to interstellar studies.