Update time simulation parameters z

Author: fuodorov

redpic/core/config.py

@@ -6,7 +6,7 @@
 
 NAME = "redpic"
 
-VERSION = "0.11.7"
+VERSION = "0.11.8"
 
 AUTHOR = "Vyacheslav Fedorov"
 

redpic/solver/base.py

@@ -18,13 +18,19 @@ def __init__(
         t_start: float = 0.0e0,
         t_stop: float = 0.0e0,
         dt: float = 0.0e0,
+        z_start: float = 0.0e0,
+        z_stop: float = 0.0e0,
+        dz: float = 0.0e0,
     ):
         self.beams = beam if isinstance(beam, Iterable) else [beam]
         self.acc = accelerator
         self.result = {}
         self.t_start = t_start
         self.t_stop = t_stop if t_stop else (self.acc.z_stop - self.acc.z_start) / const.c
         self.dt = dt if dt else self.acc.dz / const.c
+        self.z_start = z_start if z_start else self.acc.z_start
+        self.z_stop = z_stop if z_stop else self.acc.z_stop
+        self.dz = dz if dz else const.c * self.dt
 
     @abstractmethod
     def _track(self, *, n_files: int) -> None:

redpic/solver/red.py

@@ -158,7 +158,7 @@ def _second_step_red_cuda(
 
     def _track(self, *, n_files: int = cfg.DEFAULT_TRACK_SAVE_N_FILES) -> None:
         # Init parameters
-        z_start, z_stop, dz = self.acc.z_start, self.acc.z_stop, self.acc.dz
+        z_start, z_stop, dz = self.z_start, self.z_stop, self.dz
         t_start, t_stop, dt = self.t_start, self.t_stop, self.dt
 
         Y = np.transpose(np.concatenate([beam.df.to_numpy() for beam in self.beams]))
@@ -224,16 +224,16 @@ def _track(self, *, n_files: int = cfg.DEFAULT_TRACK_SAVE_N_FILES) -> None:
             Bx, By, Bz = Bx * gamma * B0, By * gamma * B0, Bz * gamma * B0
             Ex, Ey, Ez = Ex * E0, Ey * E0, Ez * E0
 
-            progress, meters = t / t_stop * 100, z_start + t * const.c
+            progress = t / t_stop * 100
             if progress % (100 // n_files) < 2 * dt / t_stop * 100:
                 self.result.update(
                     {
-                        round(meters, 3): pd.DataFrame(
+                        round(progress, 3): pd.DataFrame(
                             np.transpose(
                                 np.vstack((Y[0], Y[1], Y[2], Y[3], Y[4], Y[5], Bx, By, Bz, Ex, Ey, Ez, macro_q))
                             ),
                             columns=["x", "y", "z", "px", "py", "pz", "Bx", "By", "Bz", "Ex", "Ey", "Ez", "charge"],
                         )
                     }
                 )
-            print("\rz = %.2f m (%.1f %%) " % (meters, progress), end="")
+            print("\r%.1f %% " % progress, end="")