# Modelling dust processing and the evolution of grain sizes in the ISM using the method of moments

**Authors:** Lars Mattsson  
**arXiv:** [1606.02272](https://arxiv.org/abs/1606.02272)  
**Date:** 2016-06-07  
**Summary page:** https://www.summarizepaper.com/en/paper/1606.02272v1/

## Key points

- Stars produce and destroy interstellar dust grains
- Dust destruction in the ISM occurs when supernova shocks collide with gas and dust
- Cold molecular clouds can condense and grow dust grains
- Grains in dense environments can coagulate and form larger composite grains
- Collisions can shatter grains into smaller debris grains
- Statistical modeling approach using the method of moments is used to understand this process
- The approach is computationally efficient and can be combined with simulations of interstellar gas dynamics
- A solar-neighbourhood-like toy model is presented as an example
- Study sheds light on the origins and evolution of interstellar dust grain composition and distribution throughout the universe.

## Summary

In the study titled "Modelling dust processing and the evolution of grain sizes in the ISM using the method of moments," Lars Mattsson explores the complex origins and evolution of interstellar dust grains. While stars are known to produce dust, they also play a role in its destruction. Dust destruction in the interstellar medium (ISM) is believed to occur when supernova shocks collide with the surrounding gas and dust, leading to increased ion sputtering and a reduction in dust mass. However, there are mechanisms that contribute to replenishing and forming new dust grains. Grains located in cold molecular clouds can grow through condensation, providing a mechanism for replenishment or even dominant channel for dust formation. In dense environments, these grains may coagulate and form larger composite grains and aggregates. Additionally, if grains collide with sufficient energy, they can be shattered into smaller debris grains. To better understand this complex process, Mattsson presents a statistical modeling approach using the method of moments. This approach is computationally efficient and can be combined with detailed simulations of interstellar gas dynamics. As an example, he presents a solar-neighbourhood-like toy model of interstellar dust evolution. Overall, this study sheds light on the multifaceted nature of interstellar dust grain origins and evolution by employing statistical modeling techniques which allow researchers to gain insights into how these processes shape the composition and distribution of cosmic dust throughout the universe.