A Comprehensive Dust Model Applied to the Resolved Beta Pictoris Debris Disk from Optical to Radio Wavelengths
Nicholas P. Ballering, Kate Y. L. Su, George H. Rieke, and Andras, Gaspar

TL;DR
This study develops a comprehensive dust model for the Beta Pictoris debris disk, demonstrating that varying dust composition improves fit to multi-wavelength observations and identifying key constituents like silicates and organics.
Contribution
The paper introduces a detailed dust composition model that successfully fits optical to radio data, addressing previous modeling limitations with fixed dust properties.
Findings
Varying dust composition improves fit to observations.
Mixture of silicates and organics best matches data.
Sub-blowout grains are essential in the halo.
Abstract
We investigate whether varying the dust composition (described by the optical constants) can solve a persistent problem in debris disk modeling--the inability to fit the thermal emission without over-predicting the scattered light. We model five images of the beta Pictoris disk: two in scattered light from HST/STIS at 0.58 microns and HST/WFC3 at 1.16 microns, and three in thermal emission from Spitzer/MIPS at 24 microns, Herschel/PACS at 70 microns, and ALMA at 870 microns. The WFC3 and MIPS data are published here for the first time. We focus our modeling on the outer part of this disk, consisting of a parent body ring and a halo of small grains. First, we confirm that a model using astronomical silicates cannot simultaneously fit the thermal and scattered light data. Next, we use a simple, generic function for the optical constants to show that varying the dust composition can…
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