Quantifying and containing the curse of high resolution coronal imaging
V\'eronique Delouille, Pierre Chainais, Jean-Fran\c{c}ois Hochedez

TL;DR
This paper investigates the impact of high-resolution coronal imaging on signal-to-noise ratio by analyzing the spatial intermittency of Quiet Sun images through multifractal analysis and synthetic image modeling.
Contribution
It introduces a multifractal analysis framework to evaluate SNR preservation in high-resolution solar images and models scale-invariance properties using Compound Poisson Cascades.
Findings
Quantifies the scale-invariance behavior of Quiet Sun images.
Provides a method to simulate high-resolution images with realistic properties.
Assesses the SNR preservation when increasing spatial resolution.
Abstract
Future missions such as Solar Orbiter (SO), InterHelioprobe, or Solar Probe aim at approaching the Sun closer than ever before, with on board some high resolution imagers (HRI) having a subsecond cadence and a pixel area of about at the Sun during perihelion. In order to guarantee their scientific success, it is necessary to evaluate if the photon counts available at these resolution and cadence will provide a sufficient signal-to-noise ratio (SNR). We perform a first step in this direction by analyzing and characterizing the spatial intermittency of Quiet Sun images thanks to a multifractal analysis. We identify the parameters that specify the scale-invariance behavior. This identification allows next to select a family of multifractal processes, namely the Compound Poisson Cascades, that can synthesize artificial images having some of the scale-invariance properties…
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Taxonomy
TopicsSolar and Space Plasma Dynamics · Stellar, planetary, and galactic studies · Space Science and Extraterrestrial Life
