Fractal dimension of optical cirrus in Stripe82

TL;DR

This study measures the fractal dimension of optical cirrus clouds using Stripe82 data, revealing higher complexity compared to infrared data and exploring reasons for discrepancies between optical and IR measurements.

Contribution

First optical measurement of cirrus cloud fractal dimension with higher resolution, comparing results with infrared data and analyzing causes of differences.

Findings

Optical fractal dimension averaged 1.69, higher than IR counterparts at 1.38.

Resolution differences explain about half of the discrepancies in fractal dimensions.

Remaining differences may relate to physical cloud properties, requiring further study.

Abstract

The geometric characteristics of dust clouds provide important information on the physical processes that structure such clouds. One of such characteristics is the $2D$ fractal dimension $D$ of a cloud projected onto the sky plane. In previous studies, which were mostly based on infrared (IR) data, the fractal dimension of individual clouds was found to be in a range from 1.1 to 1.7 with a preferred value of 1.2--1.4. In the present work, we use data from Stripe82 of the Sloan Digital Sky Survey to measure the fractal dimension of the cirrus clouds. This is done here for the first time for optical data with significantly better resolution as compared to IR data. To determine the fractal dimension, the perimeter-area method is employed. We also consider IR (IRAS and Herschel) counterparts of the corresponding optical fields to compare the results between the optical and IR. We find that the averaged fractal dimension across all clouds in the optical is $\langle D \rangle =1.69^{+0.05}_{-0.05}$ which is significantly larger then the fractal dimension of its IR counterparts $\langle D\rangle=1.38^{+0.07}_{-0.06}$. We examine several reasons for this discrepancy (choice of masking and minimal contour level, image and angular resolution, etc.) and find that for approximately half of our fields the different angular resolution (point spread function) of the optical and IR data can explain the difference between the corresponding fractal dimensions. For the other half of the fields, the fractal dimensions of the IR and visual data remain inconsistent, which can be associated with physical properties of the clouds, but further physical simulations are required to prove it.