Ballistic Motion of Dust Particles in the "Collecting the Big Muley Lunar Rock" Sequence of the Apollo XVI Footage

preprint OA: closed CC-BY-4.0

Abstract

This manuscript develops and integrates the previous study “_ANALYTICAL METHODS FOR TRACKING BODIES MOTIONS ON THE LUNAR SURFACE IN APOLLO XVI FOOTAGE_” https://doi.org/10.32388/IA8MXE.2 in order to introduce a robust analytical method to trace and analyze the movement of dust shot during the Apollo XVI mission on the lunar surface. By employing both 2D and 3D analysis techniques, we aim to provide a detailed comparison of the observed kinematic events against theoretical models. The paper extends a previous work focused on the kinematics of lunar dust utilizing footage from the “Grand Prix” sequence of the Apollo XVI mission "Ballistic motion of dust particles in the Lunar Roving Vehicle dust trails" published in 2012 in the American Journal of Physics by Mihaly Horanyi and Hsiang-Wen Hsu: https://www.researchgate.net/publication/258468670 [Ann. 1 [https://www.apollolab.eu/tcc/wp-content/uploads/2020/TAXVIF/Annexes/01_AJP_2012.pdf] – Ann. 2 [https://www.apollolab.eu/tcc/wp-content/uploads/2020/TAXVIF/Annexes/02_roostertail.zip]]. In this further analysis, a sequence in which the astronaut Charles Duke collects an igneous rock (the so-called Big Muley) is tracked. A clearly visible trail of dust is kicked from the left foot of Duke and following a parabolic path, it will reach the lunar ground in the next 25 frames. By tracking the motion of the dust, we obtain information on its grain size and mechanical behavior in the lunar environment, about the validity of the expected motion models, and - last but not least - about the integrity of the original films in the digital transpositions to which we have access, in particular with respect to the played framerate.
Full text 621 characters · extracted from oa-doi-fallback · click to expand
There is a newer version available for this {{ publicationType }}. View latest version {{ publication.field_name }} {{ publication.subfield_name }} Copyright: © {{ publicationYear }} {{ publication.presentation_authors[0].full_name + (publication.presentation_authors.length > 1 ? ' et al' : '') }}. This is an open access publication distributed under the terms of the CC BY 4.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Check the {{ publicationType | capitalize }} Source for copyright and license information. Listen on

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-06-04T02:00:05.705006+00:00
License: CC-BY-4.0