# How Martian araneiforms get their shapes: morphological analysis and diffusion-limited aggregation model for polar surface erosion

## TL;DR

This study analyzes Martian araneiforms' patterns using morphological methods and models their formation with a diffusion-limited aggregation approach, revealing similarities to terrestrial river systems and insights into seasonal surface erosion processes.

## Contribution

First application of terrestrial river morphological analysis to Martian araneiforms and development of a DLA model to simulate their dendritic shapes.

## Key findings

- Araneiforms follow Horton's law of tributary orders
- DLA model successfully replicates observed araneiform shapes
- Morphological analysis enhances understanding of seasonal erosion on Mars

## Abstract

Araneiforms are radially converging systems of branching troughs exhibiting fractal properties. They are found exclusively in the Southern polar regions of Mars and believed to be result of multiple repetitions of cold CO2 gas jets eruptions. Araneiform troughs get carved by the overpressurized gas rushing underneath a seasonal ice layer towards a newly created opening. Current work is an attempt to quantitatively analyze araneiforms patterns and model their formation mechanism. The dendritic quality of most araneiforms are suggestive that they can be described in terms commonly applied to terrestrial rivers. We have adapted and for the first time applied to Martian araneiforms qualitative morphological analysis typically used for terrestrial rivers. We have shown that the large and well-developed araneiforms (with tributary orders larger than 4) closely follow Horton's law of tributary orders and have bifurcation ratio that falls well inside the range of terrestrial rivers. We have implemented a two-dimensional Diffusion-Limited Aggregation (DLA) model that describes formation of dendrite shapes by mathematical probabilistic means. We compared modeled dendrite shapes to the araneiform shapes observed in the Martian polar regions and evaluated their similarity using the morphological analysis of araneiforms. We showed that DLA model can successfully recreate 2D shapes of different observed araneiforms. Modeling the creation of araneiform patterns with DLA leads to better understanding of seasonal processes that create them.