Ejemplo n.º 1
0
def plotscans_overlay_lu(autofit):
    for f in autofit:
        plt.plot(
            autofit[f][4][: len(autofit[f][4].Field) // 4].Field,
            ap.model(autofit[f][3][2][0], autofit[f][4][: len(autofit[f][4].Field) // 4].Field, f),
            autofit[f][4][: len(autofit[f][4].Field) // 4].Field,
            autofit[f][4][: len(autofit[f][4].Field) // 4].X,
        )

    plt.ylabel("Vmix ($\mu$V)")
    plt.xlabel("Field (T)")
    plt.title("Negative field sweep and fit")
    plt.show()
    for f in autofit:
        plt.plot(
            autofit[f][4][len(autofit[f][4].Field) // 2 : len(autofit[f][4].Field) // 4 * 3].Field,
            ap.model(
                autofit[f][3][1][0],
                autofit[f][4][len(autofit[f][4].Field) // 2 : len(autofit[f][4].Field) // 4 * 3].Field,
                f,
            ),
            autofit[f][4][len(autofit[f][4].Field) // 2 : len(autofit[f][4].Field) // 4 * 3].Field,
            autofit[f][4][len(autofit[f][4].Field) // 2 : len(autofit[f][4].Field) // 4 * 3].X,
        )
    plt.ylabel("Vmix ($\mu$V)")
    plt.xlabel("Field (T)")
    plt.title("Positive field sweep and fit")
    plt.show()
Ejemplo n.º 2
0
def plotscans(autofit, f):
    plt.plot(
        autofit[f][4][: len(autofit[f][4].Field) // 2].Field,
        ap.model(autofit[f][3][2][0], autofit[f][4][: len(autofit[f][4].Field) // 2].Field, f),
        autofit[f][4][: len(autofit[f][4].Field) // 2].Field,
        autofit[f][4][: len(autofit[f][4].Field) // 2].X,
    )
    plt.ylabel("Vmix ($\mu$V)")
    plt.xlabel("Field (T)")
    plt.title("Negative field sweep and fit")
    plt.show()
    r = (
        ap.model(autofit[f][3][2][0], autofit[f][4].Field, f)[: len(autofit[f][4].Field) // 2]
        - autofit[f][4][: len(autofit[f][4].Field) // 2].X
    )
    plt.hist(r.values, bins=25, histtype="stepfilled")
    plt.title("Fit Residuals")
    plt.show()
    plt.plot(
        autofit[f][4][len(autofit[f][4].Field) // 2 :].Field,
        ap.model(autofit[f][3][1][0], autofit[f][4][len(autofit[f][4].Field) // 2 :].Field, f),
        autofit[f][4][len(autofit[f][4].Field) // 2 :].Field,
        autofit[f][4][len(autofit[f][4].Field) // 2 :].X,
    )
    plt.ylabel("Vmix ($\mu$V)")
    plt.xlabel("Field (T)")
    plt.title("Positive field sweep and fit")
    plt.show()
    r = (
        ap.model(autofit[f][3][1][0], autofit[f][4][len(autofit[f][4].Field) // 2 :].Field, f)
        - autofit[f][4][len(autofit[f][4].Field) // 2 :].X
    )
    plt.hist(r.values, bins=25, histtype="stepfilled")
    plt.title("Fit Residuals")
    plt.show()