# Controlling Cost in Sandpile Models Through Local Adjustment of Drive

## TL;DR

This paper explores how local adjustments to the drive mechanism in sandpile models can control avalanche sizes and minimize costs, revealing differences in sensitivity between BTW and Manna models.

## Contribution

It introduces a local drive modification method to control avalanche sizes and optimize costs in sandpile models, highlighting model-specific sensitivities.

## Key findings

- BTW model is more sensitive to drive modifications than Manna model.
- An optimal drive modification minimizes the avalanche cost.
- Scaling behavior is affected by local drive adjustments.

## Abstract

In this paper we consider sandpile models and modify the drive mechanisms to control the size of avalanches. The modification to the drive mechanism is local. We have studied the scaling behavior of the BTW and Manna models. We have found that the BTW model is more sensitive to the modification than the Manna model. Furthermore we have assigned a cost function to each avalanche and have found an optimum value for the modification to arrive at the lowest cost.