/
beam_center.py
executable file
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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
'''
import logging
from detector import detector
from energy import energy
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 = energy()
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_beamstop_position(self, wavelength=None, ts=None, tx=None, tz=None, ts_offset=0, tx_offset=20.5, tz_offset=46.5, beam_center_x_reference=1432.09, beam_center_y_reference=1731.95):
beam_center_x, beam_center_y = self.get_beam_center(wavelength=wavelength, ts=ts, tx=tx, tz=tz, ts_offset=ts_offset, tx_offset=tx_offset, tz_offset=tz_offset)
beamstop_x = -(beam_center_x - beam_center_x_reference)*self.pixel_size
beamstop_y = -(beam_center_y - beam_center_y_reference)*self.pixel_size
if tx == None:
tx = self.detector.position.tx.get_position()
beamstop_x -= tx - tx_offset
return beamstop_x, beamstop_y
def get_beam_center(self, wavelength=None, ts=None, tx=None, tz=None, ts_offset=0, tx_offset=20.5, tz_offset=46.5):
# 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 ts_offset=0, tx_offset=20.5, tz_offset=44.5
#coef = np.array([[-0.11034, -0.85557917, 0.25766557],
#[ 0.00514605, -1.2018129, 2.42307962]]).T
#intercept = np.array([ 1476.81628958, 1728.71530404])
# 2019-09-16 ts_offset=0, tx_offset=20.5, tz_offset=46.5
coef = np.array([[-0.10803942, -1.58868791, 0.53607582],
[ 0.00534036, -0.95457896, 2.31875217]]).T
print('coef', coef)
#intercept = np.array([1476.5555115464613, 1755.3498075722898])
# 2022-02
#intercept = np.array([1475.0555115464613, 1755.3498075722898])
# 2022-04-20
intercept = np.array([1475.0555115464613+2.52, 1755.3498075722898])
print('intercept', intercept)
if wavelength == None:
wavelength = self.wavelength_motor.get_wavelength()
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
print('ts, tx, tz', ts, tx, tz)
X = np.array([ts, wavelength, wavelength**2])
print('X', X)
_beam_center = np.dot(X, coef) + intercept + np.array([tx, tz])/self.pixel_size
print('_beam_center 1', _beam_center)
try:
if self.detector.get_roi_mode() == '4M':
_beam_center[0] -= 550
except:
pass
print('_beam_center', _beam_center)
return _beam_center
def get_theoric_beam_center(self, distance, wavelength, tx=36.0, tz=-19.65, tx_offset=20.5, tz_offset=46.5, 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])
# 2019-09-16 ts_offset=0, tx_offset=20.5, tz_offset=46.5
coef = np.array([[-0.10803942, -1.58868791, 0.53607582],
[ 0.00534036, -0.95457896, 2.31875217]]).T
#intercept = np.array([1476.5555115464613, 1755.3498075722898])
intercept = np.array([1475.0555115464613, 1755.3498075722898])
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.get_wavelength()
distance = self.detector.position.ts.get_position()
tx = self.detector.position.tx.get_position() - 30.0
tz = self.detector.position.tz.get_position() + 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)
#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.detector.ts.get_position()