Use species to group particles

pmd_beamphysics/particles.py

@@ -1,4 +1,4 @@
-from pmd_beamphysics.units import dimension, dimension_name, SI_symbol, pg_units, c_light, parse_bunching_str
+from pmd_beamphysics.units import pg_units, c_light, parse_bunching_str
 
 from pmd_beamphysics.interfaces.astra import write_astra
 import pmd_beamphysics.interfaces.bmad as bmad
@@ -678,7 +678,7 @@ def average_current(self):
         return self.charge / dt
 
     def bunching(self, wavelength):
-        """
+        r"""
         Calculate the normalized bunching parameter, which is the magnitude of the 
         complex sum of weighted exponentials at a given point.
     
@@ -910,7 +910,8 @@ def write(self, h5, name=None):
         if isinstance(h5, str):
             fname = os.path.expandvars(h5)
             g = File(fname, 'w')
-            pmd_init(g, basePath='/', particlesPath='.' )
+            pmd_init(g, basePath='/', particlesPath='particles' )
+            g = g.create_group('particles')
         else:
             g = h5
 
@@ -1158,6 +1159,14 @@ def load_bunch_data(h5):
     """
     Load particles into structured numpy array.
     """
+
+    # Legacy-style particles with no species
+    if 'position' not in h5:
+        species = list(h5)
+        if len(species) != 1:
+            raise NotImplementedError(f"multiple species in particle paths: {species}")
+        h5 = h5[species[0]]
+
     n = len(h5['position/x'])
 
     attrs = dict(h5.attrs)
@@ -1257,9 +1266,10 @@ def split_particles(particle_group, n_chunks = 100, key='z'):
     # Split particles into chunks
     plist = []
     for chunk in np.array_split(iz, n_chunks):
+
         # Prepare data
         data = {}
-        #keys = ['x', 'px', 'y', 'py', 'z', 'pz', 't', 'status', 'weight'] 
+
         for k in particle_group._settable_array_keys:
             data[k] = getattr(particle_group, k)[chunk]
         # These should be scalars

pmd_beamphysics/writers.py

@@ -57,9 +57,13 @@ def write_pmd_bunch(h5, data, name=None):
         g = h5.create_group(name)
     else:
         g = h5
+
+    # Write into species group
+    species = data['species']
+    g = g.create_group(species)
 
     # Attributes
-    g.attrs['speciesType'] = fstr( data['species'] )
+    g.attrs['speciesType'] = fstr( species )
     g.attrs['numParticles'] = data['n_particle']
     g.attrs['totalCharge'] = data['charge']
     g.attrs['chargeUnitSI'] = 1.0