# Shape models and physical properties of asteroids

## TL;DR

This paper reviews methods for determining asteroid physical properties, emphasizing the integration of various observational data types like photometry, radar imaging, and stellar occultation to improve models and predict orbital evolution.

## Contribution

It introduces a comprehensive overview of data requirements and techniques for asteroid shape modeling, highlighting the potential of combining multiple observational methods.

## Key findings

- Photometry is the most common data type for asteroid modeling.
- Combining radar imaging and stellar occultation enhances physical property determination.
- Various techniques can be used to solve the lightcurve inversion problem.

## Abstract

Despite the large amount of high quality data generated in recent space encounters with asteroids, the majority of our knowledge about these objects comes from ground based observations. Asteroids travelling in orbits that are potentially hazardous for the Earth form an especially interesting group to be studied. In order to predict their orbital evolution, it is necessary to investigate their physical properties. This paper briefly describes the data requirements and different techniques used to solve the lightcurve inversion problem. Although photometry is the most abundant type of observational data, models of asteroids can be obtained using various data types and techniques. We describe the potential of radar imaging and stellar occultation timings to be combined with disk-integrated photometry in order to reveal information about physical properties of asteroids.