Dust characterization of protoplanetary disks: a guide to multi-wavelength analyses and accurate dust mass measurements

TL;DR

This paper evaluates multi-wavelength observational strategies for accurately measuring dust mass and grain size in protoplanetary disks, emphasizing the importance of optically thin data and high spatial resolution.

Contribution

It introduces an optimized multi-wavelength analysis method combining different resolutions and demonstrates how to accurately derive dust properties and masses.

Findings

Optically thin observations at wavelengths >3 mm are crucial for robust dust property measurements.

High spatial resolution (<0.05") is essential to resolve dust substructures.

Multi-wavelength analysis with combined resolutions improves dust mass and grain size estimates.

Abstract

Multi-wavelength dust continuum observations of protoplanetary disks are essential for accurately measuring two key ingredients of planets formation theories: the dust mass and grain size. Unfortunately, they are also extremely time-expensive. We aim to investigate the most economic way of performing this analysis. We benchmark the dust characterization analysis on multi-wavelength observations of two disk models. We test three different combinations of bands (in the 0.45 mm $\to$ 7.46 mm range) to see how optically thick and thin observations aid the reconstruction of the dust properties for different morphologies and in three different dust mass regimes. We also test different spatial resolutions. Dust properties are robustly measured in a multi-band analysis if optically thin observations are included. For typical disks, this requires wavelengths longer than 3 mm. High-resolution (< 0.03"-0.05") is fundamental to resolve the changes in dust content of substructures. However, lower-resolution results still provide an accurate measurement of the total dust mass and of the level of grain growth of rings. Additionally, we propose a new approach that successfully combines lower and higher resolution observations in the multi-wavelength analysis without losing spatial information. We also test individually enhancing the resolution of each radial intensity profile with Frank but we note the presence of artifacts. Finally, we discuss on the total dust mass that we derive from the SED analyses and compare it with the traditional method of deriving dust masses from millimeter fluxes. Accurate dust mass measurements from the SED analysis can be derived by including optically thin tracers. On the other hand, single-wavelength flux-based masses are always underestimated by even more than one order of magnitude.