Radiative transfer and spectroscopic databases: A line-sampling Monte Carlo approach-Reference-Cited by-同舟云学术

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Radiative transfer and spectroscopic databases: A line-sampling Monte Carlo approach

Published:2016-03 Issue: Volume:172 Page:83-97
ISSN:0022-4073
Container-title:Journal of Quantitative Spectroscopy and Radiative Transfer
language:en
Short-container-title:Journal of Quantitative Spectroscopy and Radiative Transfer

Author:

Galtier Mathieu,Blanco Stéphane,Dauchet Jérémi,El Hafi Mouna,Eymet Vincent,Fournier Richard,Roger Maxime,Spiesser Christophe,Terrée Guillaume

Publisher

Elsevier BV

Subject

Spectroscopy,Atomic and Molecular Physics, and Optics,Radiation

Reference39 articles.

1. Integral formulation of null-collision Monte Carlo algorithms;Galtier;J Quant Spectrosc Radiat Transf,2013

2. Null-collision meshless Monte-Carlo—application to the validation of fast radiative transfer solvers embedded in combustion simulators;Eymet;J Quant Spectrosc Radiat Transf,2013

3. The 2009 edition of the GEISA spectroscopic database;Jacquinet-Husson;J Quant Spectrosc Radiat Transf,2011

4. HITEMP, the high-temperature molecular spectroscopic database;Rothman;J Quant Spectrosc Radiat Transf,2010

5. The HITRAN2012 molecular spectroscopic database;Rothman;J Quant Spectrosc Radiat Transf,2013

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1. Monte Carlo simulation of atmospheric radiative forcings using a path-integral formulation approach for spectro-radiative sensitivities;Journal of Quantitative Spectroscopy and Radiative Transfer;2024-11

2. Three approaches on estimating geometric sensitivities in radiative transfer with Monte Carlo;Journal of Quantitative Spectroscopy and Radiative Transfer;2024-11

3. Coupling Conduction, Convection and Radiative Transfer in a Single Path-Space: Application to Infrared Rendering;ACM Transactions on Graphics;2023-07-26

4. Progressive null-tracking for volumetric rendering;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings;2023-07-23

5. Accurate estimation of the optical properties of nanofluids for solar energy harvesting using the null-collision forward Monte Carlo method;Renewable Energy;2023-07

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