Articles | Volume 11, issue 7
https://doi.org/10.5194/amt-11-4261-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-4261-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A method for computing the three-dimensional radial distribution function of cloud particles from holographic images
Department of Physics and Astronomy, College of Charleston, Charleston, SC, USA
Department of Physics, Michigan Technological University, Houghton, MI, USA
Raymond A. Shaw
Department of Physics, Michigan Technological University, Houghton, MI, USA
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17 citations as recorded by crossref.
- Active cell divisions generate fourfold orientationally ordered phase in living tissue D. Cislo et al. 10.1038/s41567-023-02025-3
- Inertial particle clustering due to turbulence in an air jet B. Viggiano et al. 10.1016/j.ijmultiphaseflow.2024.104734
- On the importance of the history force in dispersion of particles in von Kármán vortex street M. Bagheri & M. Sabzpooshani 10.1016/j.apt.2020.07.030
- Quantifying the spatial inhomogeneity of ice concentration in mixed-phase stratiform cloud using airborne observation Y. Deng et al. 10.1016/j.atmosres.2023.107153
- Applicability of the VisiSize D30 shadowgraph system for cloud microphysical measurements J. Nowak et al. 10.5194/amt-14-2615-2021
- Fine-Scale Droplet Clustering in Atmospheric Clouds: 3D Radial Distribution Function from Airborne Digital Holography M. Larsen et al. 10.1103/PhysRevLett.121.204501
- Application of the Spatial Distribution Function to Colloidal Ordering N. Mac Fhionnlaoich et al. 10.1021/acs.langmuir.9b02877
- Particle radial distribution function and relative velocity measurement in turbulence at small particle-pair separations A. Hammond & H. Meng 10.1017/jfm.2021.486
- Descriptor-based method combined with partition to reconstruct three-dimensional complex microstructures Y. Li et al. 10.1103/PhysRevE.104.015316
- Theoretical insights into the thermal behaviors and coalescence of truncated octahedral Au nanoparticles Y. Tang et al. 10.1016/j.mcat.2023.113634
- Light scattering in a spatially-correlated particle field: Role of the radial distribution function C. Packard et al. 10.1016/j.jqsrt.2019.106601
- Microstructure of the near-wall layer of filtration-induced colloidal assembly M. Mokrane et al. 10.1039/D0SM01143F
- УЧЕТ ГЕОМЕТРИЧЕСКИХ ПОПРАВОК ПРИ РАСЧЕТЕ ПАРНОЙ КОРРЕЛЯЦИОННОЙ ФУНКЦИИ Ф. Джепаров et al. 10.26583/vestnik.2025.3.9
- Using a holographic imager on a tethered balloon system for microphysical observations of boundary layer clouds F. Ramelli et al. 10.5194/amt-13-925-2020
- Mechanistic and data-driven perspectives on plant uptake of organic pollutants C. Wu et al. 10.1016/j.scitotenv.2024.172415
- A numerical toy model of Langevin dynamics provides real-time visualization of colloidal microdroplet evaporation G. Derkachov et al. 10.1016/j.atmosenv.2024.121022
- Study on Cellulose Acetate Butyrate/Plasticizer Systems by Molecular Dynamics Simulation and Experimental Characterization W. Wang et al. 10.3390/polym12061272
Latest update: 11 Jul 2025
Short summary
A statistical tool frequently utilized to measure scale-dependent departures from perfect randomness is the radial distribution function. This tool has many strengths, but it is not easy to calculate for particle detections within a three-dimensional sample volume. In this manuscript, we introduce and test a new method to estimate the three-dimensional radial distribution function in realistic measurement volumes.
A statistical tool frequently utilized to measure scale-dependent departures from perfect...