Cometary dust collected by MIDAS on board Rosetta. I. Dust particle catalog and statistics
Authors: M. Kim, T. Mannel, P. D. Boakes, M. S. Bentley, A. Longobardo, H. Jeszenszky, R. Moissl, the MIDAS team
AI-generated Key Points
- The Rosetta mission studied the dust and gas environment of comet 67P/Churyumov-Gerasimenko.
- The Micro-Imaging Dust Analysis System (MIDAS) collected particles ranging from hundreds of nanometers to tens of micrometers and recorded their 3D topographic and textural information as well as statistical parameters.
- The revised MIDAS catalog includes 3523 particles in total, ranging from about 40 nm to about 8 μm in size.
- The study presents a detailed description of atomic force microscopy (AFM) images leading to more accurate identification and characterization of dust particles than previous catalogs had achieved before by carefully re-analyzing them resulting in addition more dust particles being included in this catalog along with a detailed description of their properties.
- Limitations associated with MIDAS include its inability to detect particles larger than one millimeter in size and how sizes and size distributions are expected to be influenced by fragmentation upon impact on collection targets during sampling operations.
Abstract: We aim to catalog all dust particles collected and analyzed by MIDAS, together with their main statistical properties such as size, height, basic shape descriptors, and collection time. Furthermore, we aim to present the scientific results that can be extracted from the catalog (e.g., the size distribution and statistical characteristics of cometary dust particles). The existing MIDAS particle catalog has been greatly improved by a careful re-analysis of the AFM images, leading to the addition of more dust particles and a detailed description of the particle properties. The catalog documents all images of identified dust particles and includes a variety of derived information tabulated one record per particle. Furthermore, the best image of each particle was chosen for subsequent studies. Finally, we created dust coverage maps and clustering maps of the MIDAS collection targets and traced any possible fragmentation of collected particles with a detailed algorithm. The revised MIDAS catalog includes 3523 MIDAS particles in total, where 1857 particles are expected to be usable for further analysis (418 scans of particles before perihelion + 1439 scans of particles after perihelion, both after the removal of duplicates), ranging from about 40 nm to about 8 ${\mu}$m in size. The mean value of the equivalent radius derived from the 2D projection of the particles is 0.91 ${\pm}$ 0.79 ${\mu}$m. A slightly improved equivalent radius based on the particle's volume coincides in the range of uncertainties with a value of 0.56 ${\pm}$ 0.45 ${\mu}$m. We note that those sizes and all following MIDAS particle size distributions are expected to be influenced by the fragmentation of MIDAS particles upon impact on the collection targets. Furthermore, fitting the slope of the MIDAS particle size distribution with a power law of a r ${^b}$ yields an index b of ${\sim}$ -1.67 to -1.88.
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