Re-implemented scan methods
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1 changed files with 44 additions and 4 deletions
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@ -21,6 +21,7 @@ class SangaStage(BaseStage):
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self.board = Sangaboard(port, **kwargs)
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self.board = Sangaboard(port, **kwargs)
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self._backlash = None
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self._backlash = None
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self.axis_names = ['x', 'y', 'z']
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@property
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@property
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def state(self):
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def state(self):
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@ -61,7 +62,10 @@ class SangaStage(BaseStage):
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back by ``backlash[i]``. This is computed per-axis, so if some axes are moving
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back by ``backlash[i]``. This is computed per-axis, so if some axes are moving
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in the same direction as ``backlash``, they won't do two moves.
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in the same direction as ``backlash``, they won't do two moves.
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"""
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"""
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return self._backlash if self._backlash else np.array([0]*self.n_axes)
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if self._backlash is not None:
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return self._backlash
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else:
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return np.array([0] * self.n_axes)
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@backlash.setter
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@backlash.setter
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def backlash(self, blsh):
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def backlash(self, blsh):
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@ -98,7 +102,7 @@ class SangaStage(BaseStage):
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# For each axis where we're moving in the *opposite*
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# For each axis where we're moving in the *opposite*
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# direction to self.backlash, we deliberately overshoot:
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# direction to self.backlash, we deliberately overshoot:
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initial_move -= np.where(
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initial_move -= np.where(
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self.backlash*displacement < 0,
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self.backlash * displacement < 0,
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self.backlash,
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self.backlash,
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np.zeros(self.n_axes, dtype=self.backlash.dtype)
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np.zeros(self.n_axes, dtype=self.backlash.dtype)
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)
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)
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@ -114,6 +118,42 @@ class SangaStage(BaseStage):
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with self.lock:
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with self.lock:
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self.board.move_abs(final, **kwargs)
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self.board.move_abs(final, **kwargs)
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def scan_linear(self, rel_positions, backlash=True, return_to_start=True):
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"""
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Scan through a list of (relative) positions (generator fn)
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rel_positions should be an nx3-element array (or list of 3 element arrays).
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Positions should be relative to the starting position - not a list of relative moves.
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backlash argument is passed to move_rel
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if return_to_start is True (default) we return to the starting position after a
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successful scan. NB we always attempt to return to the starting position if an
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exception occurs during the scan..
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"""
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starting_position = self.position
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rel_positions = np.array(rel_positions)
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assert rel_positions.shape[1] == 3, ValueError("Positions should be 3 elements long.")
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try:
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self.move_rel(rel_positions[0], backlash=backlash)
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yield 0
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for i, step in enumerate(np.diff(rel_positions, axis=0)):
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self.move_rel(step, backlash=backlash)
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yield i + 1
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except Exception as e:
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return_to_start = True # always return to start if it went wrong.
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raise e
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finally:
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if return_to_start:
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self.move_abs(starting_position, backlash=backlash)
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def scan_z(self, dz, **kwargs):
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"""Scan through a list of (relative) z positions (generator fn)
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This function takes a 1D numpy array of Z positions, relative to
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the position at the start of the scan, and converts it into an
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array of 3D positions with x=y=0. This, along with all the
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keyword arguments, is then passed to ``scan_linear``.
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"""
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return self.scan_linear([[0, 0, z] for z in dz], **kwargs)
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def close(self):
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def close(self):
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"""Cleanly close communication with the stage"""
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"""Cleanly close communication with the stage"""
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self.board.close()
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self.board.close()
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@ -141,8 +181,8 @@ class SangaStage(BaseStage):
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need to worry about that here.
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need to worry about that here.
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"""
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"""
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if type is not None:
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if type is not None:
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print("An exception occurred inside a with block, resetting " +
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print("An exception occurred inside a with block, resetting position \
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"position to its value at the start of the with block")
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to its value at the start of the with block")
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try:
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try:
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time.sleep(0.5)
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time.sleep(0.5)
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self.move_abs(self._position_on_enter)
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self.move_abs(self._position_on_enter)
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