Draft:OpenLPT
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Submission declined on 27 March 2026 by Guninvalid (talk). This draft appears to be a duplicate of an existing article. Wikipedia does not permit multiple articles on the same topic.
Declined by Guninvalid 2 months ago.
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This draft is not adequately supported by reliable sources. Wikipedia's verifiability policy requires that all content be supported by reliable sources.
Declined by Dan arndt 2 months ago.
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Comment: I agree with the previous review. If this is submitted yet again without major changes I recommend permanent rejection. Currently this appears to be an advert, with possible undisclosed COI based upon the author's editing history. Ldm1954 (talk) 15:35, 4 April 2026 (UTC)
- Comment: This article is written more like a published paper than a Wikipedia article. This topic can probably just be merged into Lagrangian particle tracking under a new section. guninvalid (talk) 06:54, 27 March 2026 (UTC)
OpenLPT (Open-source Lagrangian Particle Tracking) is a specific computational framework for three-dimensional particle tracking introduced by Tan et al. in 2020.[1] The method is designed to address challenges in high-concentration particle tracking and to reduce ghost particles in volumetric reconstruction.
Background
Lagrangian particle tracking (LPT) is a class of experimental techniques used in fluid mechanics to reconstruct particle trajectories in three-dimensional space.[2] Established approaches such as Shake-the-Box (STB) have demonstrated high accuracy in resolving particle trajectories, although challenges remain in handling high seeding densities and suppressing ghost particles arising from reconstruction ambiguities.[2]
OpenLPT represents a specific implementation within the broader class of Lagrangian particle tracking methods, rather than the technique itself.[2]
Methodology
OpenLPT builds upon existing LPT principles and introduces procedures for particle reconstruction and trajectory linking under high particle concentrations.[1] The framework incorporates strategies intended to reduce ghost particles and improve robustness in dense particle fields.[1]
Applications
OpenLPT has been referenced and discussed in subsequent studies on particle tracking methodologies. In particular, it has been used as a reference framework in the development and evaluation of alternative LPT approaches, indicating its role as a distinct method within the field.[3][4]
Availability
The OpenLPT framework has been made available as open-source software through public code repositories.[1]
See also
- Lagrangian particle tracking
- Particle image velocimetry
- Shake-the-Box
References
- ^ a b c d Tan, S.; Salibindla, A.; Masuk, A. U. M.; Ni, R. (2020). "Introducing OpenLPT: new method of removing ghost particles and high-concentration particle shadow tracking". Experiments in Fluids. 61: 47.
- ^ a b c Schröder, A. (2023). "3D Lagrangian Particle Tracking in Fluid Mechanics". Annual Review of Fluid Mechanics.
- ^ Zeng, X.; Qu, H.; He, C.; et al. (2024). "A polynomial model with line-of-sight constraints for Lagrangian particle tracking under interface refraction". Measurement Science and Technology.
- ^ Wang, H.; et al. (2024). "Micro-scale particle tracking: from conventional to data-driven approaches". Micromachines.
External links
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