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Matplotlib DPL94 R1rho R2eff

29 bytes added, 14:26, 3 November 2015
→‎Figures: Switched to parameter templates and cleaned up the maths.
Ref [2], Equation 27.
Here the calculated value is noted as: $R_{eff{:Reff}$. : Equation 27: $ R_{eff} = R_{1\rho{:R1rho}} / sin^<sup>2</sup>(\thetaθ) - R_1 {{:R1}} / tan^<sup>2</sup>(\thetaθ) = R^{0{:R2zero}}_2 + R_{ex{:Rex}} $. <br>Where $R^, where {{0:R2zero}}_2$ refers to $R_{1\rho '{:R1rhoprime}}$ as seen at [[DPL94]]
Ref [3], Equation 20.
Here the calculated value is noted as: $R_2${{: $R_2 R2}} = R_{1\rho{:R1rho}} / sin^<sup>2</sup>(\thetaθ) - R_1 {{:R1}} / tan^<sup>2</sup>(\thetaθ)$ <br>. Figure 11+16, would be the reference.
Ref [4], Equation 43. $R_{eff{:Reff}} = R_{1\rho{:R1rho}} / sin^<sup>2</sup>(\thetaθ) - R_1 {{:R1}} / tan^<sup>2</sup>(\thetaθ)$.
Ref [5], Material and Methods, page 740. Here the calculated value is noted as: $R_2{{:R2}}: {{: R_2 R2}} = R^{0{:R2zero}}_2 + R_{ex{:Rex}}$. <br> Figure 4 would be the wished graphs.
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