def cor_IAdep_2D(self, mask=None, corCode=3, invert=False):
""" if invert==True, the data is mulitplied by the correction factor, instead of being divided by
this is useful for obtaining the correction factor itself for each pixel
"""
dm = np.ones((self.height, self.width), np.int32)
if mask is not None:
dm *= (1 - mask.map) * self.data
else:
dm *= self.data
RQconv.cor_IAdep_2D(dm, self.exp, corCode, invert)
self.data = dm
