docs: def ximshow_rectified(self, slitlet2d_rect):
          """Display rectified image with spectrails and frontiers.
  
          Parameters
          ----------
          slitlet2d_rect : numpy array
              Array containing the rectified slitlet image
  
          """
  
          title = "Slitlet#" + str(self.islitlet) + " (rectify)"
          ax = ximshow(slitlet2d_rect, title=title,
                       first_pixel=(self.bb_nc1_orig, self.bb_ns1_orig),
                       show=False)
          # grid with fitted transformation: spectrum trails
          xx = np.arange(0, self.bb_nc2_orig - self.bb_nc1_orig + 1,
                         dtype=np.float)
          for spectrail in self.list_spectrails:
              yy0 = self.corr_yrect_a + \
                    self.corr_yrect_b * spectrail(self.x0_reference)
              yy = np.tile([yy0 - self.bb_ns1_orig], xx.size)
              ax.plot(xx + self.bb_nc1_orig, yy + self.bb_ns1_orig, "b")
          for spectrail in self.list_frontiers:
              yy0 = self.corr_yrect_a +\
                    self.corr_yrect_b * spectrail(self.x0_reference)
              yy = np.tile([yy0 - self.bb_ns1_orig], xx.size)
              ax.plot(xx + self.bb_nc1_orig, yy + self.bb_ns1_orig, "b:")
          # show plot
          pause_debugplot(self.debugplot, pltshow=True)