arpes.analysis.derivative.minimum_gradient

arpes.analysis.derivative.minimum_gradient(data, *, smooth_fn=None, delta=1)

Implements the minimum gradient approach to defining the band in a diffuse spectrum.

Parameters:

• data (DataType) – ARPES data (xr.DataArray is prefarable)

• smooth_fn (Callable| None) –

  Smoothing function before applying the minimum graident method. Define like:

  def warpped_filter(arr: xr.DataArray):
      return gaussian_filtter_arr(arr, {"eV": 0.05, "phi": np.pi/180})
  

• delta (DELTA) – should not set. Use default 1

Returns:

The gradient of the original intensity, which enhances the peak position.