markdown documentation for stop_when_dft_decayed

doc/docs/Python_User_Interface.md

@@ -2685,18 +2685,18 @@ In particular, a useful value for `until_after_sources` or `until` is often `sto
 <a id="stop_when_fields_decayed"></a>
 
 ```python
-def stop_when_fields_decayed(dt, c, pt, decay_by):
+def stop_when_fields_decayed(dt=None, c=None, pt=None, decay_by=None):
 ```
 
 <div class="function_docstring" markdown="1">
 
 Return a `condition` function, suitable for passing to `Simulation.run` as the `until`
-or `until_after_sources` parameter, that examines the component `c` (e.g. `Ex`, etc.)
+or `until_after_sources` parameter, that examines the component `c` (e.g. `meep.Ex`, etc.)
 at the point `pt` (a `Vector3`) and keeps running until its absolute value *squared*
 has decayed by at least `decay_by` from its maximum previous value. In particular, it
-keeps incrementing the run time by `dT` (in Meep units) and checks the maximum value
+keeps incrementing the run time by `dt` (in Meep units) and checks the maximum value
 over that time period &mdash; in this way, it won't be fooled just because the field
-happens to go through 0 at some instant.
+happens to go through zero at some instant.
 
 Note that, if you make `decay_by` very small, you may need to increase the `cutoff`
 property of your source(s), to decrease the amplitude of the small high-frequency
@@ -2706,6 +2706,26 @@ slow group velocities and are absorbed poorly by [PML](Perfectly_Matched_Layer.m
 
 </div>
 
+<a id="stop_when_dft_decayed"></a>
+
+```python
+def stop_when_dft_decayed(tol=None,
+                      minimum_run_time=0,
+                      maximum_run_time=None):
+```
+
+<div class="function_docstring" markdown="1">
+
+Return a `condition` function, suitable for passing to `Simulation.run` as the `until`
+or `until_after_sources` parameter, that checks the `Simulation`'s dft objects every `dt`
+timesteps, and stops the simulation once all the field components and frequencies of *every*
+dft object have decayed by at least some tolerance `tol` (no default value). The time interval
+`dt` is determined automatically based on the frequency content in the DFT monitors.
+There are two optional parameters: a minimum run time `minimum_run_time` (default: 0) or a
+maximum run time `maximum_run_time` (no default).
+
+</div>
+
 <a id="stop_after_walltime"></a>
 
 ```python
@@ -2734,7 +2754,6 @@ follows the `run` function (e.g., outputting fields).
 
 </div>
 
-
 Finally, another run function, useful for computing ω(**k**) band diagrams, is available via these `Simulation` methods:
 
 
@@ -7491,18 +7510,18 @@ fr = mp.FluxRegion(volume=mp.GDSII_vol(fname, layer, zmin, zmax))
 <a id="stop_when_fields_decayed"></a>
 
 ```python
-def stop_when_fields_decayed(dt, c, pt, decay_by):
+def stop_when_fields_decayed(dt=None, c=None, pt=None, decay_by=None):
 ```
 
 <div class="function_docstring" markdown="1">
 
 Return a `condition` function, suitable for passing to `Simulation.run` as the `until`
-or `until_after_sources` parameter, that examines the component `c` (e.g. `Ex`, etc.)
+or `until_after_sources` parameter, that examines the component `c` (e.g. `meep.Ex`, etc.)
 at the point `pt` (a `Vector3`) and keeps running until its absolute value *squared*
 has decayed by at least `decay_by` from its maximum previous value. In particular, it
-keeps incrementing the run time by `dT` (in Meep units) and checks the maximum value
+keeps incrementing the run time by `dt` (in Meep units) and checks the maximum value
 over that time period &mdash; in this way, it won't be fooled just because the field
-happens to go through 0 at some instant.
+happens to go through zero at some instant.
 
 Note that, if you make `decay_by` very small, you may need to increase the `cutoff`
 property of your source(s), to decrease the amplitude of the small high-frequency

doc/docs/Python_User_Interface.md.in

@@ -450,10 +450,10 @@ A common point of confusion is described in [The Run Function Is Not A Loop](The
 In particular, a useful value for `until_after_sources` or `until` is often `stop_when_field_decayed`, which is demonstrated in [Tutorial/Basics](Python_Tutorials/Basics.md#transmittance-spectrum-of-a-waveguide-bend). These top-level functions are available:
 
 @@ stop_when_fields_decayed @@
+@@ stop_when_dft_decayed @@
 @@ stop_after_walltime @@
 @@ stop_on_interrupt @@
 
-
 Finally, another run function, useful for computing ω(**k**) band diagrams, is available via these `Simulation` methods:
 
 @@ Simulation.run_k_points @@

python/simulation.py

@@ -4354,22 +4354,25 @@ def _to_appended(sim, todo):
     return _to_appended
 
 
-def stop_when_fields_decayed(dt, c, pt, decay_by):
+def stop_when_fields_decayed(dt=None, c=None, pt=None, decay_by=None):
     """
     Return a `condition` function, suitable for passing to `Simulation.run` as the `until`
-    or `until_after_sources` parameter, that examines the component `c` (e.g. `Ex`, etc.)
+    or `until_after_sources` parameter, that examines the component `c` (e.g. `meep.Ex`, etc.)
     at the point `pt` (a `Vector3`) and keeps running until its absolute value *squared*
     has decayed by at least `decay_by` from its maximum previous value. In particular, it
-    keeps incrementing the run time by `dT` (in Meep units) and checks the maximum value
+    keeps incrementing the run time by `dt` (in Meep units) and checks the maximum value
     over that time period — in this way, it won't be fooled just because the field
-    happens to go through 0 at some instant.
+    happens to go through zero at some instant.
 
     Note that, if you make `decay_by` very small, you may need to increase the `cutoff`
     property of your source(s), to decrease the amplitude of the small high-frequency
     components that are excited when the source turns off. High frequencies near the
     [Nyquist frequency](https://en.wikipedia.org/wiki/Nyquist_frequency) of the grid have
     slow group velocities and are absorbed poorly by [PML](Perfectly_Matched_Layer.md).
     """
+    if (dt is None) or (c is None) or (pt is None) or (decay_by is None):
+        raise ValueError("dt, c, pt, and decay_by are all required.")
+
     closure = {
         'max_abs': 0,
         'cur_max': 0,
@@ -4428,18 +4431,20 @@ def _stop(sim):
 
     return _stop
 
-def stop_when_dft_decayed(tol, minimum_run_time=0, maximum_run_time=None):
+def stop_when_dft_decayed(tol=None, minimum_run_time=0, maximum_run_time=None):
     """
-    Return a `condition` function, suitable for passing to `sim.run()` as the `until`
-    or `until_after_sources` parameter, that checks all of the Simulation's dft objects
-    every `dt` timesteps, and stops the simulation once all the components and frequencies
-    of *every* dft object have decayed by at least some tolerance, `tol`. The routine 
-    calculates the optimal `dt` to use based on the frequency content in the DFT monitors.
-
-    Optionally the user can specify a minimum run time (`minimum_run_time`) or a maximum
-    run time (`maximum_run_time`).
+    Return a `condition` function, suitable for passing to `Simulation.run` as the `until`
+    or `until_after_sources` parameter, that checks the `Simulation`'s dft objects every `dt`
+    timesteps, and stops the simulation once all the field components and frequencies of *every*
+    dft object have decayed by at least some tolerance `tol` (no default value). The time interval
+    `dt` is determined automatically based on the frequency content in the DFT monitors.
+    There are two optional parameters: a minimum run time `minimum_run_time` (default: 0) or a
+    maximum run time `maximum_run_time` (no default).
     """
-    # Record data in closure so that we can persitently edit
+    if tol is None:
+        raise ValueError("tol is required.")
+
+    # Record data in closure so that we can persistently edit
     closure = {'previous_fields':0, 't0':0, 'dt':0, 'maxchange':0}
     def _stop(_sim):
         if _sim.fields.t == 0:
@@ -4457,11 +4462,11 @@ def _stop(_sim):
             if previous_fields == 0:
                 closure['previous_fields'] = current_fields
                 return False
-            
+
             closure['previous_fields'] = current_fields
             closure['t0'] = _sim.fields.t
-            if mp.verbosity > 0:
-                fmt = "DFT decay(t = {0:1.1f}): {1:0.4e}"
+            if mp.verbosity > 1:
+                fmt = "DFT fields decay(t = {0:0.2f}): {1:0.4e}"
                 print(fmt.format(_sim.meep_time(), np.real(change/closure['maxchange'])))
             return (change/closure['maxchange']) <= tol and _sim.round_time() >= minimum_run_time