Liu, Y., Roussel, H., Linz, H., Fang, M., Wolf, S., Kirchschlager, F., Henning, T., Yang, H., Du, F., Flock, M., & Wang, H. (2024). Dust mass in protoplanetary disks with porous dust opacities. Astronomy & Astrophysics manuscript no. dustmass2024. Preprint online version: November 4, 2024. arXiv:2411.00277v1 [astro-ph.EP]
This research paper investigates how incorporating porous dust opacities, as opposed to compact dust opacities, affects the estimation of dust mass in protoplanetary disks. The authors aim to address the "mass budget problem" in planet formation, which suggests that observed dust masses are insufficient to form the known exoplanet population.
The authors utilize self-consistent radiative transfer models to simulate protoplanetary disks with varying parameters such as dust mass, disk radius, flaring index, and scale height. They compare models using both compact and porous dust opacities to analyze the impact on dust temperature and millimeter flux, key factors in dust mass estimation. The study further recalibrates the relationship between dust temperature and stellar luminosity for a wide range of stars. Finally, they apply their findings to a large sample of observed disks and compare the resulting dust mass distribution with the known exoplanet mass distribution.
The study concludes that the assumption of compact dust grains has likely led to a significant underestimation of dust masses in protoplanetary disks. By incorporating porous dust opacities, the "mass budget problem" for planet formation is potentially alleviated.
This research has significant implications for our understanding of planet formation. It highlights the importance of accurately modeling dust properties, particularly porosity, in protoplanetary disks to derive reliable estimations of dust mass and assess the potential for planet formation.
The study primarily focuses on a simplified scenario with uniform dust porosity. Future research should explore more complex scenarios with varying porosities within the disk. Additionally, spatially resolved multi-wavelength observations are crucial to further constrain dust properties and improve the accuracy of dust mass estimations.
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