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beam_center.py
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beam_center.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Object calculates the position of direct beam on the detector as function of distance of the wavelength and position of the detector support translational motors
'''
try:
import PyTango
except:
print 'failed to import PyTango'
import logging
from detector import detector
import numpy as np
class beam_center_mockup:
def __init__(self):
self.beam_center_x = 1500
self.beam_center_y = 1600
self.pixel_size = 75e-6
def get_beam_center(self):
return self.beam_center_x, self.beam_center_y
def get_beam_center_x(self):
return self.beam_center_x
def get_beam_center_y(self):
return self.beam_center_y
def get_theoric_beam_center(self, distance, wavelength, tx=36.0, tz=-19.65):
coef = np.array([[-107.48524431, -1.61648582, 0.63448967],
[ 4.19204684, -1.25690816, 2.58600155]]).T
intercept = np.array([ 1634.36239262, 1583.7138641])
q = 0.075
tx -= 36.0
tz -= -19.65
X = np.array([distance, wavelength, wavelength**2])
return np.dot(X, coef) + intercept + np.array([tx, tz])/q
def get_detector_distance(self):
return 100
class beam_center(object):
def __init__(self, pixel_size=0.075):
try:
self.wavelength_motor = PyTango.DeviceProxy('i11-ma-c03/op/mono1')
self.detector = detector()
except:
pass
self.pixel_size = pixel_size
def get_beam_center_x(self, X):
logging.info('beam_center_x calculation')
beam_center_vertical = self.get_beam_center()[0]
return beam_center_vertical
def get_beam_center_y(self, X):
logging.info('beam_center_y calculation')
beam_center_horizontal = self.get_beam_center()[1]
return beam_center_horizontal
#def get_beam_center(self):
# 2017-07-22 After tomography experiment; Modeling tx and tz explicitly
#coef = np.array([[ -1.10004820e-01, 1.33236212e+01, -1.46088461e-02, -6.30332471e+00, 2.05455735e+00],
#[ 3.42366488e-03, 5.55270943e-03, 1.33149106e+01, -2.28146910e+00, 2.87948678e+00]]).T
#intercept = np.array([ 1166.84721073, 1256.11220109])
#wavelength = self.wavelength_motor.read_attribute('lambda').value
#ts = self.distance_motor.read_attribute('position').value
#tx = self.det_mt_tx.read_attribute('position').value
#tz = self.det_mt_tz.read_attribute('position').value
#X = np.array([ts, tx, tz, wavelength, wavelength**2])
#return np.dot(X, coef) + intercept
def get_beam_center(self, wavelength=None, ts=None, tx=None, tz=None, ts_offset=0, tx_offset=20.5, tz_offset=44.5):
# 2017-07-22 after tomography experiment focussing geometry changes
# Not modeling tx and tz explicitly
#coef = np.array([[-0.11502292, -0.89947339, 0.2325305 ],
#[ 0.00351967, -0.60952873, 2.22645446]]).T
#intercept = np.array([ 1449.1722701, 1510.20208357]) - np.array([ 2.58, 0.31])
# 2017-08-31
# 220
#coef = np.array([[-0.11118513, -3.68898678, 1.22657328],
#[ 0.00413426, -1.01159419, 2.40788137]]).T
#intercept = np.array([ 1450.04096305, 1509.55992981])
# 68
#coef = np.array([[-0.1111972, -2.96418675, 0.94843247],
#[ 0.00395438 -2.27778223 2.92793563]]).T
#intercept = np.array([ 1449.62923794, 1510.29356759])
# 118
#coef = np.array([[-0.11119599, -3.42681679, 1.10552128],
#[ 0.00397335, -3.6318981, 3.42825926]]).T
#intercept = np.array([1449.92271935, 1511.13875886])
# 2017-08-31 beam_center3
#coef = np.array([[ -1.07784484e-01, -3.80411705e+00, 1.27896512e+00],
#[ 3.14271272e-03, -2.37131414e+00, 2.89300818e+00]]).T
#intercept = np.array([ 1450.07192347, 1510.35162089])
# 2017-09-13 1M prediction
#tx_offset = 19.0
#tz_offset = 135.0
#coef = np.array([[-0.10702542, 3.06434418, -1.11765958],
#[ 0.00354367, 3.3434966, 0.78202923]]).T
#intercept = np.array([ 488.95185709, 452.32962912])
# 2017-09-19
# tx_offset = 20.3
# tz_offset = 20.5
# coef = np.array([[-0.10779414, -2.59970090, 0.8257945 ],
# [ 0.00380687, -2.07844815, 2.76835243]]).T
#
# intercept = np.array([ 1462.95205539, 1497.0729601 ])
# 2017-11-08
# tx_offset = 20.50
# tz_offset = 44.50
#coef = np.array([[ -1.06708151e-01, -2.85800345e+00, 9.87774089e-01],
#[ 2.61584487e-03, -7.09149543e-01, 2.18903245e+00]]).T
#intercept = np.array([ 1478.04730873, 1728.45302422])
# 2017-11-23
#coef = np.array([[-0.10596661, -1.72860865, 0.53923195],
#[ 0.00291639, -1.38650557, 2.4999531 ]]).T
#intercept = np.array([ 1477.45980118, 1728.69652014])
# 2017-12-14
#coef = np.array([[-0.1108826, -1.06395447, 0.27716588],
#[ 0.00414124, -1.58808647, 2.69409456]]).T
#intercept = np.array([ 1477.06896683, 1728.40462094])
# 2017-12-17
coef = np.array([[-0.11034, -0.85557917, 0.25766557],
[ 0.00514605, -1.2018129, 2.42307962]]).T
intercept = np.array([ 1476.81628958, 1728.71530404])
print 'beam_center'
print 'wavelength, ts, tz, tx', wavelength, ts, tz, tx
if wavelength == None:
wavelength = self.wavelength_motor.read_attribute('lambda').value
if ts == None:
ts = self.detector.position.ts.get_position()
if tx == None:
tx = self.detector.position.tx.get_position()
if tz == None:
tz = self.detector.position.tz.get_position()
ts -= ts_offset
tx -= tx_offset
tz -= tz_offset
X = np.array([ts, wavelength, wavelength**2])
_beam_center = np.dot(X, coef) + intercept + np.array([tx, tz])/self.pixel_size
try:
if self.detector.get_roi_mode() == '4M':
_beam_center[0] -= 550
except:
pass
return _beam_center
def get_theoric_beam_center(self, distance, wavelength, tx=36.0, tz=-19.65, tx_offset=26.0, tz_offset=20.206, q=0.075):
coef = np.array([[-110.49463429, -3.49210741, 1.3543519],
[ 2.08750452, -3.20462697, 3.61623166]]).T
intercept = np.array([ 1510.13453675, 1526.25811839])
tx -= tx_offset
tz -= tz_offset
X = np.array([distance, wavelength, wavelength**2])
return np.dot(X, coef) + intercept + np.array([tx, tz])/q
def get_old_beam_center(self):
#Theta = np.matrix([[ 1.54776707e+03, 1.65113065e+03], [ 3.65108709e-01, 5.63662370e+00], [ -1.12769165e-01, 3.49706731e-03]])
#X = np.matrix([1., self.wavelength_motor.read_attribute('lambda').value, self.distance_motor.position])
#X = X.T
#beam_center = Theta.T * X
#beam_center_x = beam_center[0, 0]
#beam_center_y = beam_center[1, 0]
#beam_center_x -= 26.9
#beam_center_y -= 5.7
q = 0.075 #0.102592
wavelength = self.wavelength_motor.read_attribute('lambda').value
distance = self.distance_motor.read_attribute('position').value
tx = self.det_mt_tx.read_attribute('position').value - 30.0
tz = self.det_mt_tz.read_attribute('position').value + 14.3
logging.info('wavelength %s' % wavelength)
logging.info('mt_ts %s' % distance)
logging.info('mt_tx %s' % tx)
logging.info('mt_tz %s' % tz)
print('wavelength %s' % wavelength)
print('mt_ts %s' % distance)
print('mt_tx %s' % tx)
print('mt_tz %s' % tz)
#wavelength = self.mono1.read_attribute('lambda').value
#distance = self.detector_mt_ts.read_attribute('position').value
#tx = self.detector_mt_tx.position
#tz = self.detector_mt_tz.position
X = np.matrix([1., wavelength, distance, 0, 0 ]) #tx, tz])
beam_center_y = self.get_beam_center_x(X[:, [0, 1, 2, 4]])
beam_center_x = self.get_beam_center_y(X[:, [0, 1, 2, 3]])
beam_center_x += tx / q
beam_center_y += tz / q
beam_center_x += 0.58
beam_center_y += -1.36
#2016-09-06 adjusting table
beam_center_x += -16.3
beam_center_y += 2.0
#2016-09-07 adjusting table
#ORGX= 1534.19470215 ORGY= 1652.97814941
#1544.05 1652.87
beam_center_x += 10.15
#beam_center_y += 2.0
return beam_center_x, beam_center_y
def get_detector_distance(self):
return self.distance_motor.position