A quant calibrates a single volatility parameter θ by minimizing the sum-of-squared pricing error E(θ) via Newton's method for optimization, which uses both the first and second derivatives of the loss. At the current guess θ_0=0.22, E'(θ_0)=0.048 and E''(θ_0)=0.320.