Open Access

Table 1

Some previous scattering studies of rough particles.

Reference Nature of data Refractive index (m = n ± ik) Size parameter (X = 2πR/λ)
Escobar-Cerezo et al. (2017) Laboratory and numerical simulations m = 3 + 0.01i inside a weakly absorbing host m = 1.5 + 10–5i X = 100

Frattin et al. (2019) Laboratory simulations m = 1.65 + 0.001i X = 29
m = 1.65 + 0.001i X = 105
m = 1.65 + 0.001i X = 43
m = 1.65 + 0.001i X = 47
m = 1.65 + 0.001i X = 71
m = 1.65 + 0.001i X = 44
m = 1.62 + 0.00001i X = 37
m = 1.58 + 0.00001i X = 45
m = 1.35 + 0.023i X = 37

Frattin et al. (2022) Laboratory simulations m = 1.62 + 0.00001i X = 29, 79, 45 916
m = 1.72 + 0.0003i X = 32,88,41082
Kahnert et al. (2011) Numerical simulations m = 3.0 + 0.1i X = 0.2 to 14

Liu et al. (2014) Numerical simulations m = 1.31 X = 100 and X = 1000

Liu et al. (2015) Numerical simulations m = 1.50 + 0.001i X = 0.1 and X = 1 to 1000

Muinonen et al. (2007) Numerical simulations m = 1.313 X = 1 to 7
m = 1.6 + 0.0005i

Muinonen et al. (2009) Numerical simulations m = 1.542 + 0.00000001i X = 1000

Muñoz et al. (2017) Laboratory simulations m = 1.58 + 0.00002i X =39 344
m = 1.54 + 0i X =45 902
m = 1.59 + 0.01i X = 51 267

Muñoz et al. (2020) Laboratory simulations m = (1.8 to 2.3) + (0.5 to 0.9)i X = 25 979
m = 1.58 + 0.00002i X =19 333
m = (1.6 to 1.7) + (0.002 to 0.03)i X =32 926
X =30 208

Nousiainen & Muinonen (2007) Numerical simulations m = 1.2 + 0.0i X = 1, 2, 3 and 9
m = 1.4 + 0.2i

Renard et al. (2014) Laboratory simulations m = (1.54 to 1.55) + 0i X = 419, 993, 1155
m = (1.63 to 1.66)+(0.005 to 0.0000004)i X = 628, 1489, 1732
m = 1.53 + (0.006 to 0.01)i X = 314, 744, 866
m = 2.66, 2.63, 2.57 X = 73, 94, 174, 184, 202, 223, 260, 314, 437, 508, 744, 866
m = (1.64 to 1.68) X = 105, 248, 289

Sun et al. (2003) Numerical simulations m = 1.311 X = 3.1

Zerull (1985) Laboratory and numerical simulations m = 1.57−0.006i X = 5.3–14
m = 1.5−0.005i X = 1.9–17.8
m = 1.54 X = 150
m = 1.45−0.05i X = 27
m = 1.55−0.01i X = 190

Zhang et al. (2016) Numerical simulations m = 1.31 X = 20 to 50

Zubko et al. (2015) Numerical simulations m = 1.313 + 0i X = 1 to 50
m = 1.5 + 0.1i X = 1 to 32
m = 1.6 + 0.0005i X = 1 to 26
m = 1.855 + 0.45i X = 1 to 32

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