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Copy pathMirrorScanDAC.py
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260 lines (214 loc) · 8.52 KB
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# -*- coding: utf-8 -*-
"""
Created on Fri Sep 9 20:01:38 2022
@author: AKN
"""
import time
import yaml
import os
import labrad
import numpy as np
import scipy.io as sio
from datetime import datetime
from threading import Thread
from scipy.ndimage import gaussian_filter
class Scan(Thread):
def __init__(self,
params,
spot,
dac_d,
dac_m,
save_data=False):
Thread.__init__(self)
self.daemon = True
self.params = params
self.rootdir = params['ROOTDIR'][2:-1]
self.datadir = params['DATADIR']
self.datapath = self.rootdir+"\\"+self.datadir+".dir"
self.save_data = save_data
self.spot = spot
self.dac_d = dac_d
self.dac_m = dac_m
self.dac_d_dummy_ch = params['DAC_OUTPUT_CH_DUMMY']
if self.spot=='E':
self.dac_m_ch = params['DAC_M_CH'][0:2]
else:
self.dac_m_ch = params['DAC_M_CH'][2:4]
self.dac_d_ch = params[spot]['DAC_D_IN_CH']
self.delay = params['DELAY']
self.max_I = 0
self.max_x = 0
self.max_y = 0
def voltage_ramp(self,dac_ch,v_initial,v_final):
if v_initial == v_final:
print('[{}] No voltage ramp needed.'.format(self.current_time()))
return
step = 10
v_steps = np.linspace(v_initial, v_final, step)
print('[{}] Ramping voltage...'.format(self.current_time()))
for i in range(step):
self.dac_d.set_voltage(dac_ch,v_steps[i])
time.sleep(self.delay)
print('[{}] Voltage ramp completed.'.format(self.current_time()))
time.sleep(self.delay*5)
def current_time(self):
now = datetime.now()
val = now.strftime("%H:%M:%S")
return val
def set_scan_range(self,x_center,y_center,scan_range,scan_step):
self.x_center = x_center
self.y_center = y_center
self.scan_range = scan_range
self.scan_step = scan_step
def set_datafile(self,dv):
self.dv = dv
def save_to_datavault(self,s,x,y,I):
Ns = np.arange(np.size(s))
Nx = np.arange(np.size(x,1))
Ny = np.arange(np.size(y,2))
if self.save_data:
print('[{}] Saving to datavault...'.format(self.current_time()))
mesh = np.meshgrid(Ns,Nx,Ny,indexing='ij')
data = np.column_stack((np.ndarray.flatten(mesh[0]),
np.ndarray.flatten(mesh[1]),
np.ndarray.flatten(mesh[2]),
np.ndarray.flatten(x),
np.ndarray.flatten(y),
np.ndarray.flatten(I)))
self.dv.add(data)
def save_to_mat(self,s,x,y,I):
Ns = np.arange(np.size(s))
Nx = np.arange(np.size(x,1))
Ny = np.arange(np.size(y,2))
if self.save_data:
print('[{}] Saving to *.mat...'.format(self.current_time()))
mesh = np.meshgrid(Ns,Nx,Ny,indexing='ij')
data = np.column_stack((
np.ndarray.flatten(mesh[0]),
np.ndarray.flatten(mesh[1]),
np.ndarray.flatten(mesh[2]),
np.ndarray.flatten(x),
np.ndarray.flatten(y),
np.ndarray.flatten(I)))
sio.savemat(self.datapath+"\\"+self.dv.get_name()+".mat",
{'data':data})
def run(self):
# Sweeps
N = self.params['MSWEEPS']
swp = np.arange(N)
# Scan range
x_rng = np.linspace((self.x_center-self.scan_range/2),(self.x_center+self.scan_range/2),
int(self.scan_range/self.scan_step)+1)
y_rng = np.linspace((self.y_center-self.scan_range/2),(self.y_center+self.scan_range/2),
int(self.scan_range/self.scan_step)+1)
currentRead = np.zeros((N,len(x_rng),len(y_rng)),dtype=float)
xv = np.zeros((N,len(x_rng),len(y_rng)),dtype=float)
yv = np.zeros((N,len(x_rng),len(y_rng)),dtype=float)
for k in swp:
# Sweep
print("[{}] Sweep # {} out of {}.".format(
self.current_time(),k+1,N))
# def sweep action
# scan in X
for i in range(len(x_rng)):
self.dac_m.set_voltage(self.dac_m_ch[0], x_rng[i])
percent = (x_rng[i] - np.min(x_rng))/(np.max(x_rng) - np.min(x_rng))
print("[{}] Scanning {} {:.2f} % complete".format(
self.current_time(),self.spot,100*percent))
# scan in Y
for j in range(len(y_rng)):
self.dac_m.set_voltage(self.dac_m_ch[1], y_rng[j])
time.sleep(self.params['LIA']['TIME_CONST'])
xv[k][i][j] = x_rng[i]
yv[k][i][j] = y_rng[j]
currentRead[k][i][j] = np.mean(self.dac_d.buffer_ramp(
self.dac_d_dummy_ch,
[self.dac_d_ch],
[0.0],
[0.0],
1,
0.1*self.params['LIA']['TIME_CONST']*1e6,
self.params['AVGS']))
# currentRead[k][i][j] = self.dac_d.read_voltage(self.dac_d_ch)
# Save to datavault
self.save_to_datavault(swp, xv, yv, currentRead)
# Save to *.mat format
self.save_to_mat(swp, xv, yv, currentRead)
currentRead = np.abs(currentRead)
currentRead = gaussian_filter(currentRead[-1], sigma=1)
self.max_I = np.max(currentRead)
[max_x_idx, max_y_idx] = np.unravel_index(np.argmax(currentRead),(len(x_rng),len(y_rng)))
self.max_x = x_rng[max_x_idx]
self.max_y = y_rng[max_y_idx]
print("[{}] Max signal {} {:.4f} V at X: {:.4f} V, Y: {:.4f} V".format(
self.current_time(),self.spot,self.max_I,self.max_x,self.max_y))
self.dac_m.set_voltage(self.dac_m_ch[0], self.max_x)
self.dac_m.set_voltage(self.dac_m_ch[1], self.max_y)
return
def scan_mirror(params,spot):
# Initialize labrad and servers
cxn_m = labrad.connect()
cxn_d = labrad.connect()
# DAC-ADC for mirrors
dac_m = cxn_m.dac_adc
dac_m.select_device(params['DAC_MIRROR'])
# DAC-ADC for switch
dac_d = cxn_d.dac_adc
dac_d.select_device(params['DAC_DATA'])
dac_d.initialize()
# Delay stage
ds = cxn_d.esp300()
ds.select_device()
ds.move_absolute(1,params['STAGE_POS'])
time.sleep(5)
# SR 830
if params['SPOT'] == 'A':
sr = cxn_d.sr860()
else:
sr = cxn_d.sr830()
sr.select_device()
sr.time_constant(params['LIA']['TIME_CONST'])
sr.sensitivity(params['LIA']['SENS'])
# Data vault
dv = cxn_m.data_vault()
# Change to data directory
dv.cd(params['DATADIR'])
# Create new data file
dv.new('{}_'.format(spot)+params['FILENAME'],
['IDX 0 [AU]', 'IDX 1 [AU]', 'IDX 2 [AU]', 'X Pos [V]', 'Y Pos [V]'],
['I Measure [A]'])
# Instatiate mirror scan object
scan = Scan(params,
spot,
dac_d,
dac_m,
True)
# DataVault File
scan.set_datafile(dv)
# Coarse
scan.set_scan_range(params[spot]['X_CENTER'],params[spot]['Y_CENTER'],
params[spot]['RANGE'],params[spot]['STEP'])
# Measurement
start = time.time()
print("[{}] Estimated total time: {:.0f} s"
.format(scan.current_time(),
0.04*(params[spot]['RANGE']**2)/(params[spot]['STEP']**2)))
# Voltage ramp
scan.voltage_ramp(params[spot]['DAC_D_OUT_CH'], 0, params['BIAS'])
# Scan the Mirror
scan.start()
# Wait to finish scan
scan.join()
# Voltage ramp doen
scan.voltage_ramp(params[spot]['DAC_D_OUT_CH'], params['BIAS'], 0)
# Measurements ended
end = time.time()
print("[{}] DONE! Time Consumption: {:.1f} s".format(scan.current_time(),end-start) )
def main():
# Load config file
CONFIG_FILENAME = 'MirrorScanDACConfig.yml'
with open(os.path.realpath(CONFIG_FILENAME),'r') as f:
params = yaml.safe_load(f)
scan_mirror(params,params['SPOT'])
if __name__ == '__main__':
main()