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Proceedings Papers

Quasi-Photon Monte Carlo on Radiative Heat Transfer: An Importance Sampling Approach

Utkarsh A. Mishra, Ankit Bansal
Proc. ASME. HT2020, ASME 2020 Heat Transfer Summer Conference, V001T02A012, July 13–15, 2020
Paper No: HT2020-8950
DOI: https://doi.org/10.1115/HT2020-8950
... is modelled by Importance Sampling (IS) of the spectrum data for variance reduction. Furthermore, PMC with low-discrepancy sequences like Halton, Sobol, and Faure sequences, known as Quasi-Monte Carlo (QMC), was simulated. QMC proved to be more efficient in reducing variance and computation time. Effective...
View Paper titled, Quasi-Photon Monte Carlo on Radiative Heat Transfer: An <span class="search-highlight">Importance</span> <span class="search-highlight">Sampling</span> Approach
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Topics: Photons, Radiative heat transfer