Exemple #1
0
def multiScan(detX, detX_name, detTh, detTh_name, 
			  motorX, mX_name, motorTh, mTh_name, motorTTh, mTTh_name, 
			  iterations = 1, alignCriteria = {}, theta_kws = None, 
			  x_kws = None, SimAlign = False, xPlot = [], thPlot = [],
			  sumPlot = None, sumAxes = None, verbose = False):
	"""
	multiScan:  
		-set tthMotor to 0 degrees
		-set thMotor to 0 degrees
		-scan x-direction for transition from no-beam to full-beam
		-scan theta direction with detector at 2theta = 10 degrees
		-plot summary (if flagged) of x(half-max), theta(peak)

	Parameters
    ----------
	detX				: X detector object (in real alignment, same as detTh)
	detX_name			: X detector object's name (in real alignment, same as 
						  detTh_name)
	detTh				: Theta detector object (in real alignment, same as 
						  detX)
	detTh_name			: Theta detector object's name (in real alignment, same 
						  as detX_name)
	motorX				: X motor object
	motorX_name			: X motor object's name
	motorTh				: Theta motor object
	mTh_name			: Theta motor object's name
	motorTTh			: 2theta motor object
	mTTh_name			: 2theta motor object's name
	iterations			: Number of iterations of the X, Theta alignment scans
						  to run through
	alignCriteria		: dict of criteria for ending alignment
						  Default value is None,
	theta_kws 			: dict for arguments to be passed to theta-alignment
					      Default value is None,
	x_kws 				: dict for arguments to be passed to x-alignment
						  Default value is None

	xPlot				: axes object for x-alignment plot
	thPlot				: axes object for theta-alignment plot
	sumPlot				: plot object for usmmary plot
	sumAxes				: axes for the x-/theta-alignment summaries
	SimAlign  			: boolean flag for simulation/testing 
						  Default value is False,
	verbose 			: boolean for showing alignment process using LiveTable
						  callbacks. Default value is False
	"""
	if not SimAlign:
		motorTh.move(0)
		try:
			motorTTh.move(theta_kws['det40ffset'])
		except:
			d4offset =  EpicsSignalRO('29idd:userCalcOut2.VAL', 
									  name = 'd4offset')
			det4offset = d4offset.get()
			motorTTh.move(det4offset)

	for i in range(iterations):
		asd.sequence = np.arange(i+1)+1
		yield from xScanAndCenter(i+1, detX, detX_name, 
								  motorX, mX_name, plotter = xPlot,
								  SimAlign = SimAlign, verbose = verbose,
								  **x_kws)
		yield from thetaScanAndCenter(i+1, detTh, detTh_name, 
									  motorTh, mTh_name, 
									  motorTTh, mTTh_name,
									  plotter = thPlot,
									  SimAlign = SimAlign, verbose = verbose,
									   **theta_kws)
				
		if sumPlot is not None:
			if i == 0:
				xLine, = sumAxes[0].plot(asd.sequence, asd.x0, 
										markeredgecolor = 'r', 
										markerfacecolor = 'none', 
										marker = '^', linestyle='none', 
										label = 'x_offset')
				thetaLine, = sumAxes[1].plot(asd.sequence, asd.theta5, 
											markeredgecolor = 'b', 
											markerfacecolor = 'none', 
											marker = 'o', linestyle='none', 
											label = 'theta_offset')
			else:
				xLine.set_data(asd.sequence, asd.x0)
				thetaLine.set_data(asd.sequence, asd.theta5)
			cleanAxes(sumPlot, xLine, thetaLine, sumAxes[0], sumAxes[1], 
					  'r', 'b', 'x offset (mm)', 'theta @ 2theta = 10', 
					  'Iteration')
Exemple #2
0
						  Default value is None which later creates new object
	det4offset			: Detector's offset from 0 (for 2theta motor), defaults
					      to None leading to attempt to get it from PV
					      29idd:userCalcOut2.VAL
	SimAlign  			: boolean flag for simulation/testing 
						  Default value is False,
	verbose 			: boolean for showing alignment process using LiveTable
						  callbacks. Default value is False
	"""

	
	# detector offset angle PV: 29idd:userCalcOut2.VAL
	# motor2 move to offset + 10 degrees
	if det4offset is None:
		d4offset =  EpicsSignalRO('29idd:userCalcOut2.VAL', name = 'd4offset')
		det4offset = d4offset.get()
		
	if not SimAlign:
		motor2.move(det4offset+10.0)
		motor.move(alignRange[0])
	    
	if plotter is None:
		figTh, thAx = plt.subplots()
	else:
		thAx = plotter	
		
	cur_color = fit_colors[iteration % len(fit_colors)]
	   
	coarsePlot = LivePlot(detector_name,x=motor_name, linestyle = 'none', 
						  marker = '^', markerfacecolor = 'none',
						  markeredgecolor = cur_color, ax = thAx,