Example #1
0
def truncate_with_roots(m,
                        fmodel,
                        c1,
                        c2,
                        cutoff,
                        scale,
                        zero_all_interblob_region=True,
                        as_int=False,
                        average_peak_volume=None,
                        selection=None):
    assert c1 >= c2
    if (average_peak_volume is None):
        sites_cart = fmodel.xray_structure.sites_cart()
        if (selection is not None):
            sites_cart = sites_cart.select(selection)
        average_peak_volume = maptbx.peak_volume_estimate(
            map_data=m,
            sites_cart=sites_cart,
            crystal_symmetry=fmodel.xray_structure.crystal_symmetry(),
            cutoff=cutoff)
    if (average_peak_volume is None
            or int(average_peak_volume * scale) - 1 == 0):
        return None
    average_peak_volume = int(
        average_peak_volume * scale /
        2) - 1  # XXX "/2" is ad hoc and I don't know why!
    co1 = maptbx.connectivity(map_data=m, threshold=c1)
    co2 = maptbx.connectivity(map_data=m, threshold=c2)
    result = co2.noise_elimination_two_cutoffs(
        connectivity_object_at_t1=co1,
        elimination_volume_threshold_at_t1=average_peak_volume,
        zero_all_interblob_region=zero_all_interblob_region)
    if (as_int): return result
    else: return result.as_double()
def run_group(symbol):
    group = space_group_info(symbol)
    elements = ('C', ) * 10
    xrs = random_structure.xray_structure(space_group_info=group,
                                          volume_per_atom=50.,
                                          general_positions_only=True,
                                          elements=elements,
                                          min_distance=2.0,
                                          u_iso=0.1)
    d_min = 2.
    fc = xrs.structure_factors(d_min=d_min).f_calc()
    symmetry_flags = None  #maptbx.use_space_group_symmetry
    fft_map = fc.fft_map(symmetry_flags=symmetry_flags,
                         resolution_factor=1. / 5)
    fft_map.apply_volume_scaling()
    map_data = fft_map.real_map_unpadded()
    #
    r = maptbx.peak_volume_estimate(map_data=map_data,
                                    sites_cart=xrs.sites_cart(),
                                    crystal_symmetry=xrs.crystal_symmetry(),
                                    cutoff=0.3,
                                    atom_radius=1.5)
    result.append(r)
def run_group(symbol):
  group = space_group_info(symbol);
  elements = ('C',)*10
  xrs = random_structure.xray_structure(
    space_group_info = group,
    volume_per_atom = 50.,
    general_positions_only = True,
    elements = elements,
    min_distance = 2.0,
    u_iso=0.1)
  d_min = 2.
  fc = xrs.structure_factors(d_min=d_min).f_calc()
  symmetry_flags = None#maptbx.use_space_group_symmetry
  fft_map = fc.fft_map(symmetry_flags = symmetry_flags, resolution_factor=1./5)
  fft_map.apply_volume_scaling()
  map_data = fft_map.real_map_unpadded()
  #
  r = maptbx.peak_volume_estimate(
    map_data         = map_data,
    sites_cart       = xrs.sites_cart(),
    crystal_symmetry = xrs.crystal_symmetry(),
    cutoff           = 0.3,
    atom_radius      = 1.5)
  result.append(r)
Example #4
0
def truncate_with_roots(
      m, fmodel, c1, c2, cutoff, scale, zero_all_interblob_region=True,
      as_int=False, average_peak_volume=None, selection=None):
  assert c1>=c2
  if(average_peak_volume is None):
    sites_cart = fmodel.xray_structure.sites_cart()
    if(selection is not None):
      sites_cart = sites_cart.select(selection)
    average_peak_volume = maptbx.peak_volume_estimate(
      map_data         = m,
      sites_cart       = sites_cart,
      crystal_symmetry = fmodel.xray_structure.crystal_symmetry(),
      cutoff           = cutoff)
  if(average_peak_volume is None or int(average_peak_volume*scale)-1==0):
    return None
  average_peak_volume = int(average_peak_volume*scale/2)-1 # XXX "/2" is ad hoc and I don't know why!
  co1 = maptbx.connectivity(map_data=m, threshold=c1)
  co2 = maptbx.connectivity(map_data=m, threshold=c2)
  result = co2.noise_elimination_two_cutoffs(
    connectivity_object_at_t1=co1,
    elimination_volume_threshold_at_t1=average_peak_volume,
    zero_all_interblob_region=zero_all_interblob_region)
  if(as_int): return result
  else:       return result.as_double()