lambcount / SFGAnalysis.jl

spectral and orientational analysis in sum frequency generation spectroscopy

SFGAnalysis

Effective Susceptibilities

Let us replicate the data in Figure 4 from https://doi.org/10.1021/jp067062h (J. Phys. Chem. C 2007, 111, 8716-8725).

First we have to define the correct experimental settings. Internally the package works with frequencies ω. We can convert wavelengths to frequencies easily with wl2freq. Converting the other way around works with freq2wl.

using SFGAnalysis

ω1 = wl2freq(532)
ω2 = wl2freq(3333)
β1 = deg2rad(62)
β2 = deg2rad(53)
n1  = 1
n11 = 1
n12 = 1
n2  = 1.33
n21 = 1.33
n22 = 1.33
R = 1.7

In the next step we put these parameter into a Setup object so that we can handle these parameters more easily. The wavelength of the sum frequency as well as the reflected angle and the refractive index of the boundary layer are calculated automatically via ω = ω1 + ω2, the sfangle function and the ninterface function respectively.

s = Setup((ω1, ω2), (β1[1], β2[1]), (n1, n11, n12), (n2, n21, n22))

SFGAnalysis.Setup
===== ========= ====================== ========= ===== ====== ========
        λ (nm)                ω (1/s)   β (deg)    n₁     n₂      n′  
===== ========= ====================== ========= ===== ====== ========
   Ω   458.773   6.534663899679439e14    60.615   1.0   1.33   1.149  
  Ω1     532.0   5.635196578947368e14      62.0   1.0   1.33   1.149  
  Ω2    3333.0   8.994673207320731e13      53.0   1.0   1.33   1.149  
===== ========= ====================== ========= ===== ====== ========

In the next step we are calculating the effective susceptibilities of the methyl group for tilt angles between 0 and 90 degrees. Note that we append a factor of sec(β) to the effective susceptibilities just like in the reference paper.

θ = range(0, π/2, length=91)

χ_eff_ssp_ss = effective_susceptibility.(θ, s, :ssp; pointgroup=:c3v, mode=:ss, R=R) * sec(s.Ω.β)
χ_eff_ssp_as = effective_susceptibility.(θ, s, :ssp; pointgroup=:c3v, mode=:as) * sec(s.Ω.β)
χ_eff_ppp_ss = effective_susceptibility.(θ, s, :ppp; pointgroup=:c3v, mode=:ss, R=R) * sec(s.Ω.β)
χ_eff_ppp_as = effective_susceptibility.(θ, s, :ppp; pointgroup=:c3v, mode=:as) * sec(s.Ω.β)

Finally, we can plot the effective susceptibilities and we should be able to see the expected result.

using Plots

θdeg = rad2deg.(θ)
plt = plot(xlabel="Tilt Angle (deg)", ylabel="Effective Susceptibility")
plot!(θdeg, χ_eff_ssp_ss, label="ssp ss")
plot!(θdeg, χ_eff_ssp_as, label="ssp as")
plot!(θdeg, χ_eff_ppp_ss, label="ppp ss")
plot!(θdeg, χ_eff_ppp_as, label="ppp as")

Angle Distributions

To input a distribution of tilt angles instead of a fixed angle we can use the Distributions.jl package. In this example we use a distribution of the tilt angle with the central angle being 0 radians and a standard deviation of π/4.

using Distributions

dist = Normal(0, π/4)
χ_eff = effective_susceptibility(dist, s, :ssp; pointgroup=:c3v, mode=:as)