Preprints
https://doi.org/10.5194/ar-2026-31
https://doi.org/10.5194/ar-2026-31
16 Sep 2026
 | 16 Sep 2026
Status: this preprint is currently under review for the journal AR.

Complex refractive indices of flame soot from different combustion conditions retrieved using Mie and RDG-FA theories: a simulation chamber study

Johannes Heuser, Claudia Di Biagio, Jérôme Yon, Mathieu Cazaunau, Antonin Bergé, Edouard Pangui, Marco Zanatta, Laura Renzi, Angela Marinoni, Chenjie Yu, Servanne Chevaillier, Daniel Ferry, Michel Maillé, Paola Formenti, Benedicte Picquet-Varrault, and Jean-François Doussin

Abstract. Soot aerosol generated from incomplete combustion of biomasses, fossil fuels and biofuels is a major light-absorber, however its spectral complex refractive index (m=n-ik) remains uncertain. In this study, fractal soot aerosols with varying maturity and physico-chemical properties were studied systematically in a large simulation chamber to determine their complex refractive index. The real (n) and imaginary (k) parts of m were retrieved through optical calculations using the measured size, morphology, density and particles’ scattering, absorption and extinction coefficients as input parameters. Optical calculations were performed using Mie theory, which represents soot as homogeneous spheres, and the Rayleigh–Debye–Gans for fractal aggregate (RDG-FA) theory, which accounts for soot aggregate morphology. Monte Carlo simulations were used to quantify how uncertainties in input parameters affect the retrievals. Results from the analysis show that both Mie and RDG-FA theories can reproduce the measured absorption and scattering of soot, but that the retrieved n and k values differ substantially between the two approaches, underscoring the need for theory-consistent use of refractive index values in optical modelling. For soot with elemental-to-total carbon ratios of 0.79 (BC-dominated) to 0 (BrC-dominated), retrieved values span 1.35–2.68 (n) and 0.38–0.31 (k) using Mie theory, and 1.68–2.07 (n) and 0.20–0.09 (k) using RDG-FA. Mie-based refractive indices are weakly sensitive to uncertainties in input parameters but strongly affected by particle coagulation and size growth, reflecting limitations of the spherical approximation. The RDG-FA complex refractive index retrievals remain stable during coagulation but depend strongly on the uncertainty of the assumed particle morphology.

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Johannes Heuser, Claudia Di Biagio, Jérôme Yon, Mathieu Cazaunau, Antonin Bergé, Edouard Pangui, Marco Zanatta, Laura Renzi, Angela Marinoni, Chenjie Yu, Servanne Chevaillier, Daniel Ferry, Michel Maillé, Paola Formenti, Benedicte Picquet-Varrault, and Jean-François Doussin

Status: open (until 28 Oct 2026)

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Johannes Heuser, Claudia Di Biagio, Jérôme Yon, Mathieu Cazaunau, Antonin Bergé, Edouard Pangui, Marco Zanatta, Laura Renzi, Angela Marinoni, Chenjie Yu, Servanne Chevaillier, Daniel Ferry, Michel Maillé, Paola Formenti, Benedicte Picquet-Varrault, and Jean-François Doussin

Data sets

Complex refractive index: Soot from miniCAST 6204 Type C soot Generator - 19.5:881.7 nm (size) - 450:630 nm (wavelength) (Version 1.0) J. Heuser et al. https://doi.org/10.25326/3ZMC-XK24

Model code and software

Complex refractive index: Soot from miniCAST 6204 Type C soot Generator - 19.5:881.7 nm (size) - 450:630 nm (wavelength) (Version 1.0) J. Heuser et al. https://doi.org/10.25326/FB9J-9770

Johannes Heuser, Claudia Di Biagio, Jérôme Yon, Mathieu Cazaunau, Antonin Bergé, Edouard Pangui, Marco Zanatta, Laura Renzi, Angela Marinoni, Chenjie Yu, Servanne Chevaillier, Daniel Ferry, Michel Maillé, Paola Formenti, Benedicte Picquet-Varrault, and Jean-François Doussin
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Short summary
We retrieve refractive indices of laboratory-generated soot from measured particle properties using Mie and RDG-FA optical calculations, and quantify uncertainties via Monte Carlo simulations. The inferred refractive indices strongly depend on the theory employed, highlighting the need for consistency between optical theory and refractive index. Mie retrievals are sensitive to coagulation and size growth, while RDG-FA retrievals depend strongly on the uncertainty of assumed particle morphology.
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