r""" This model calculates intensity using simple linear function Definition ---------- The scattering intensity $I(q)$ is calculated as .. math:: I(q) = \text{scale} (A + B \cdot q) + \text{background} .. note:: For 2D plots intensity has different definition than other shape independent models .. math:: I(q) = \text{scale} (I(qx) \cdot I(qy)) + \text{background} References ---------- None. """ from numpy import inf name = "line" title = "Line model" description = """\ I(q) = A + B*q List of default parameters: A = intercept B = slope """ category = "shape-independent" # pylint: disable=bad-whitespace, line-too-long # ["name", "units", default, [lower, upper], "type", "description"], parameters = [["intercept", "1/cm", 1.0, [-inf, inf], "", "intercept in linear model"], ["slope", "Ang/cm", 1.0, [-inf, inf], "", "slope in linear model"], ] # pylint: enable=bad-whitespace, line-too-long def Iq(q, intercept, slope): """ :param q: Input q-value :param intercept: Intrecept in linear model :param slope: Slope in linear model :return: Calculated Intensity """ inten = intercept + slope*q return inten Iq.vectorized = True # Iq accepts an array of q values def Iqxy(qx, qy, *args): """ :param qx: Input q_x-value :param qy: Input q_y-value :param args: Remaining arguments :return: 2D-Intensity """ # TODO: SasView documents 2D intensity as Iq(qx)*Iq(qy), but returns Iq(qy) # Note: SasView.run([r, theta]) does return Iq(qx)*Iq(qy) return Iq(qx, *args)*Iq(qy, *args) Iqxy.vectorized = True # Iqxy accepts an array of qx qy values tests = [ [{'intercept': 1.0, 'slope': 1.0, }, 1.0, 2.001], [{'intercept': 1.0, 'slope': 1.0, }, 0.0, 1.001], [{'intercept': 1.0, 'slope': 1.0, }, 0.4, 1.401], [{'intercept': 1.0, 'slope': 1.0, }, 1.3, 2.301], [{'intercept': 1.0, 'slope': 1.0, }, 0.5, 1.501], [{'intercept': 1.0, 'slope': 1.0, }, [0.4, 0.5], [1.401, 1.501]], [{'intercept': 1.0, 'slope': 1.0, 'background': 0.0, }, (1.3, 1.57), 5.911], ]