Fig. 2: Comparison between the Ferris MOKE and light-modulated MOKE measurements in Py.

a \({{{\boldsymbol{V}}}}_{{{\boldsymbol{PD}}},{{{\boldsymbol{B}}}}_{{{\boldsymbol{mod}}}}}\) (solid blue) and \({{{\boldsymbol{V}}}}_{{{\boldsymbol{PD}}},{{{\boldsymbol{L}}}}_{{{\boldsymbol{mod}}}}}\) (solid red) vs. \({{{\boldsymbol{B}}}}_{{{\boldsymbol{AC}}}}\) and \({{{\boldsymbol{B}}}}_{{{\boldsymbol{DC}}}}\), respectively. Dashed black lines represent the parabolic fit. b \({\sqrt{\widetilde{{{\boldsymbol{V}}}}}}_{{{\boldsymbol{PD}}},{{{\boldsymbol{B}}}}_{{{\boldsymbol{mod}}}}}^{{{\boldsymbol{Py}}}}\) and \({\sqrt{\widetilde{{{\boldsymbol{V}}}}}}_{{{\boldsymbol{PD}}},{{{\boldsymbol{L}}}}_{{{\boldsymbol{mod}}}}}^{{{\boldsymbol{Py}}}}\) vs. \({{{\boldsymbol{B}}}}_{{{\boldsymbol{AC}}}}\) and \({{{\boldsymbol{B}}}}_{{{\boldsymbol{DC}}}}\), respectively, and the corresponding magnitude of the complex Kerr angle \(\left|{{{\boldsymbol{\Phi }}}}_{{{\boldsymbol{K}}}}\right|\). Dashed lines represent linear fit for data in the range of \({{{\boldsymbol{B}}}}_{{{\boldsymbol{AC}}}}\), \({{{\boldsymbol{B}}}}_{{{\boldsymbol{DC}}}} > {{\boldsymbol{200}}}{{\boldsymbol{mT}}}\).