old_contents: # -*- coding: utf-8 -*-
  """
  Created on Wed Sep 23 15:23:58 2015
  
  @author: jensv
  """
  
  import skin_core_scanner_simple as scss
  reload(scss)
  import equil_solver as es
  reload(es)
  import newcomb_simple as new
  reload(new)
  
  (lambda_a_mesh, k_a_mesh,
   stability_maps) = scss.scan_lambda_k_space([0.01, 3.0, 10.], [0.01, 1.5, 10],
                                              epsilon=0.11, core_radius_norm=0.9,
  								 transition_width_norm=0.033,
  								 skin_width_norm=0.034,
  								 method='lsoda',
  								 max_step=1E-2, nsteps=1000)
new_contents: # -*- coding: utf-8 -*-
  """
  Created on Wed Sep 23 15:23:58 2015
  
  @author: jensv
  """
  
  import skin_core_scanner_simple as scss
  reload(scss)
  import equil_solver as es
  reload(es)
  import newcomb_simple as new
  reload(new)
  
  (lambda_a_mesh, k_a_mesh,
   stability_maps) = scss.scan_lambda_k_space([0.01, 3.0, 25.], [0.01, 1.5, 25],
                                              epsilon=0.11, core_radius_norm=0.9,
  								 transition_width_norm=0.033,
  								 skin_width_norm=0.034,
  								 method='lsoda',
  								 max_step=1E-2, nsteps=1000)
subject: Increase lambda-k space to better differentiate bottlenecks from startup cost.