2024-07-12 14:55:20 +00:00
# -*- coding: utf-8 -*-
"""
Created on Fri Dec 22 15 : 10 : 10 2023
Lightfield + Positioner
@author : Serdar , adjusted by Lukas
"""
############################################
# Packages from Ryan
import re
import pyvisa
# from pyvisa import ResourceManager, constants
# B Field Limits (in T)
BX_MAX = 1.7
BY_MAX = 1.7
BZ_MAX = 4.0
############################################
import AMC
import csv
import time
import clr
import sys
import os
import spe2py as spe
import spe_loader as sl
import pandas as pd
import time
from System . IO import *
from System import String
import numpy as np
import matplotlib . pyplot as plt
import datetime
#First choose your controller
IP_AMC300 = " 192.168.1.1 "
IP_AMC100 = " 192.168.71.100 "
# IP = "192.168.1.1"
IP = IP_AMC100
# Import os module
import os , glob , string
# Import System.IO for saving and opening files
from System . IO import *
from System . Threading import AutoResetEvent
# Import C compatible List and String
from System import String
from System . Collections . Generic import List
# Add needed dll references
sys . path . append ( os . environ [ ' LIGHTFIELD_ROOT ' ] )
sys . path . append ( os . environ [ ' LIGHTFIELD_ROOT ' ] + " \\ AddInViews " )
sys . path . append ( r ' C: \ Program Files \ Princeton Instruments \ LightField \ AddInViews ' ) #I added them by hand -serdar
sys . path . append ( r ' C: \ Program Files \ Princeton Instruments \ LightField ' ) #this one also
clr . AddReference ( ' PrincetonInstruments.LightFieldViewV5 ' )
clr . AddReference ( ' PrincetonInstruments.LightField.AutomationV5 ' )
clr . AddReference ( ' PrincetonInstruments.LightFieldAddInSupportServices ' )
os . environ [ ' LIGHTFIELD_ROOT ' ] = r ' C: \ Program Files \ Princeton Instruments \ LightField '
# PI imports
from PrincetonInstruments . LightField . Automation import Automation
from PrincetonInstruments . LightField . AddIns import ExperimentSettings
from PrincetonInstruments . LightField . AddIns import CameraSettings
#from PrincetonInstruments.LightField.AddIns import DeviceType
from PrincetonInstruments . LightField . AddIns import SpectrometerSettings
from PrincetonInstruments . LightField . AddIns import RegionOfInterest
######################################################################################################### code begins from here #############################################
def set_custom_ROI ( ) :
# Get device full dimensions
dimensions = experiment . FullSensorRegion ( )
regions = [ ]
# Add two ROI to regions
regions . append (
RegionOfInterest (
int ( dimensions . X ) , int ( dimensions . Y ) ,
int ( dimensions . Width ) , int ( dimensions . Height / / 4 ) , # Use // for integer division
int ( dimensions . XBinning ) , int ( dimensions . Height / / 4 ) ) )
# Set both ROI
experiment . SetCustomRegions ( regions )
def experiment_completed ( sender , event_args ) : #callback function which is hooked to event completed, this is the listener
print ( " ... Acquisition Complete! " )
acquireCompleted . Set ( ) #set the event. This puts the autoresetevent false.(look at .NET library for furher info)
def InitializerFilenameParams ( ) :
experiment . SetValue ( ExperimentSettings . FileNameGenerationAttachIncrement , False )
experiment . SetValue ( ExperimentSettings . FileNameGenerationIncrementNumber , 1.0 )
experiment . SetValue ( ExperimentSettings . FileNameGenerationIncrementMinimumDigits , 2.0 )
experiment . SetValue ( ExperimentSettings . FileNameGenerationAttachDate , False )
experiment . SetValue ( ExperimentSettings . FileNameGenerationAttachTime , False )
def AcquireAndLock ( name ) :
print ( " Acquiring... " , end = " " )
# name += 'Exp{0:06.2f}ms.CWL{1:07.2f}nm'.format(\
# experiment.GetValue(CameraSettings.ShutterTimingExposureTime)\
# ,experiment.GetValue(SpectrometerSettings.GratingCenterWavelength))
experiment . SetValue ( ExperimentSettings . FileNameGenerationBaseFileName , name ) #this creates .spe file with the name
experiment . Acquire ( ) # this is an ashynrchronus func.
acquireCompleted . WaitOne ( )
def calculate_distance ( x1 , y1 , x2 , y2 ) :
return np . sqrt ( ( x2 - x1 ) * * 2 + ( y2 - y1 ) * * 2 )
def generate_scan_positions ( center , range_val , resolution ) :
positive_range = np . arange ( center , center + range_val + resolution , resolution )
return positive_range
def save_as_csv ( filename , position_x , position_y ) :
file_existance = os . path . isfile ( filename )
with open ( filename , ' a ' , newline = ' ' ) as csvfile :
writer = csv . writer ( csvfile )
if not file_existance :
writer . writerow ( [ ' x_coordinates ' , ' y_coordinates ' ] )
writer . writerow ( [ position_x , position_y ] )
def move_axis ( axis , target ) :
"""
This function moves an axis to the specified target and stop moving after it is in the really closed
vicinity ( + - 25 nm ) of the target ( listener hooked to it ) .
"""
amc . move . setControlTargetPosition ( axis , target )
amc . control . setControlMove ( axis , True )
while not ( target - 25 ) < amc . move . getPosition ( axis ) < ( target + 25 ) :
time . sleep ( 0.1 )
time . sleep ( 0.15 )
while not ( target - 25 ) < amc . move . getPosition ( axis ) < ( target + 25 ) :
time . sleep ( 0.1 )
amc . control . setControlMove ( axis , False )
def move_xy ( target_x , target_y ) : # moving in x and y direction closed to desired position
amc . move . setControlTargetPosition ( 0 , target_x )
amc . control . setControlMove ( 0 , True )
amc . move . setControlTargetPosition ( 1 , target_y )
amc . control . setControlMove ( 1 , True )
while not ( target_x - 25 ) < amc . move . getPosition ( 0 ) < ( target_x + 25 ) and ( target_y - 25 ) < amc . move . getPosition ( 1 ) < ( target_y + 25 ) :
time . sleep ( 0.1 )
time . sleep ( 0.15 )
while not ( target_x - 25 ) < amc . move . getPosition ( 0 ) < ( target_x + 25 ) and ( target_y - 25 ) < amc . move . getPosition ( 1 ) < ( target_y + 25 ) :
time . sleep ( 0.1 )
amc . control . setControlOutput ( 0 , False )
amc . control . setControlOutput ( 1 , False )
# intensity_data = [] # To store data from each scan
# data_list = []
def move_scan_xy ( range_x , range_y , resolution , Settings , baseFileName ) :
"""
This function moves the positioners to scan the sample with desired ranges and resolution in 2 dimensions .
At the end it saves a csv file
Parameters
- - - - - - - - - -
range_x : integer in nm . max value is 5 um
Scan range in x direction .
range_y : integer in nm . max value is 5 um
Scan range in y direction .
resolution : integer in nm .
Room temprature max res is 50 nm . In cyrostat ( 4 K ) it is 10 nm ( check the Attocube manual )
baseFileName : string . At the end the saved file will be : baseFileName_scan_data . csv and it will be saved to the current directory
Returns
- - - - - - -
None .
"""
start_time = time . time ( )
axis_x = 0 #first axis
axis_y = 1 #second axis
center_x = amc . move . getPosition ( axis_x )
center_y = amc . move . getPosition ( axis_y )
# #check if the intput range is reasonable
# if amc.move.getPosition(axis_x) + range_x >= 5000 or amc.move.getPosition(axis_x)- range_x <= 0 or amc.move.getPosition(axis_y) + range_y >=5000 or amc.move.getPosition(axis_y) - range_y <= 5000 :
# print("scan range is out of range!")
# return
# +- range from current positions for x and y directions
array_x = generate_scan_positions ( center_x , range_x , resolution )
array_y = generate_scan_positions ( center_y , range_y , resolution )
total_points = len ( array_x ) * len ( array_y )
len_y = len ( array_y )
intensity_data = [ ] # To store data from each scan
data_list = [ ]
cwd = os . getcwd ( ) # save original directory
#This gives a directory, in which the script will save the spectrum of each spot as spe
#However, it will open the spectrum, convert it to txt, add it to the intensity_data and delete the spe file
Path_save = " C:/Users/localadmin/Desktop/Users/Lukas/2024_02_08_Map_test "
#scanning loop
for i , x_positions in enumerate ( array_x ) :
move_axis ( axis_x , x_positions )
y = False
for j , y_positions in enumerate ( array_y ) :
move_axis ( axis_y , y_positions )
#each time when the positioner comes to the beggining of a new line
#this if will make the positioner wait a bit longer to really go to the target.
if y == False :
move_axis ( axis_y , y_positions )
y = True
#we acquire with the LF
acquire_name_spe = f ' { baseFileName } _X { x_positions } _Y { y_positions } '
AcquireAndLock ( acquire_name_spe ) #this creates a .spe file with the scan name.
#read the .spe file and get the data as loaded_files
cwd = os . getcwd ( ) # save original directory
os . chdir ( Path_save ) #change directory
loaded_files = sl . load_from_files ( [ acquire_name_spe + ' .spe ' ] ) # get the .spe file as a variable
os . chdir ( cwd ) # go back to original directory
# Delete the created .spe file from acquiring after getting necessary info
spe_file_path = os . path . join ( Path_save , acquire_name_spe + ' .spe ' )
os . remove ( spe_file_path )
distance = calculate_distance ( x_positions , y_positions , amc . move . getPosition ( axis_x ) , amc . move . getPosition ( axis_y ) )
points_left = total_points - ( i * len_y + ( j + 1 ) ) + 1
print ( ' Points left in the scan: ' , points_left )
#append the intensity data as it is (so after every #of_wl_points, the spectrum of the next point begins)
intensity_data . append ( loaded_files . data [ 0 ] [ 0 ] [ 0 ] )
data_list . append ( {
' position_x ' : x_positions ,
' position_y ' : y_positions ,
' actual_x ' : amc . move . getPosition ( axis_x ) ,
' actual_y ' : amc . move . getPosition ( axis_y ) ,
' distance ' : distance ,
} )
#moves back to starting position
move_axis ( axis_x , center_x )
move_axis ( axis_y , center_y )
#prints total time the mapping lasted
end_time = time . time ( )
elapsed_time = ( end_time - start_time ) / 60
print ( ' Scan time: ' , elapsed_time , ' minutes ' )
# df = pd.DataFrame(data_list)
#save intensity & WL data as .txt
os . chdir ( ' C:/Users/localadmin/Desktop/Users/Lukas ' )
# creates new folder for MAP data
new_folder_name = " Test_Map_ " + f " { datetime . datetime . now ( ) . strftime ( ' % Y_ % m_ %d _ % H. % M ' ) } "
os . mkdir ( new_folder_name )
# Here the things will be saved in a new folder under user Lukas !
# IMPORTANT last / has to be there, otherwise data cannot be saved and will be lost!!!!!!!!!!!!!!!!
os . chdir ( ' C:/Users/localadmin/Desktop/Users/Lukas/ ' + new_folder_name )
intensity_data = np . array ( intensity_data )
np . savetxt ( Settings + str ( center_x ) + ' _ ' + str ( center_y ) + experiment_name + ' .txt ' , intensity_data )
wl = np . array ( loaded_files . wavelength )
np . savetxt ( " Wavelength.txt " , wl )
################################################################# RYAN'S FUNCTIONS HERE ##########################################################################################
def sep_num_from_units ( powerbox_output : str ) - > list :
'''
Receives a string as input and separates the numberic value and unit and returns it as a list .
Parameters
- - - - - - - - - -
powerbox_output : str
string output from the attocube powerbox , e . g . 1.35325 kG
Returns
- - - - - - -
list
list of float value and string ( b value and it ' s units). If string is purely alphabets, then return a single element list
'''
match = re . match ( r ' \ s*([+-]? \ d* \ .? \ d+)([A-Za-z]+) ' , powerbox_output )
if match :
numeric_part = float ( match . group ( 1 ) ) # Convert the numeric part to a float
alphabetic_part = match . group ( 2 ) # Get the alphabetic part
return [ numeric_part , alphabetic_part ]
else :
return [ powerbox_output , ]
def query_no_echo ( instr : pyvisa . resources . Resource , command : str , sleeptime = 0.01 ) - > str :
""" helper function for the Attocube APS100 that queries a function to the device, removing the echo.
Args :
instr ( pyvisa . resources . Resource ) :
command ( str ) : commands , can be stringed in series with ; between commands
sleeptime ( float , optional ) : delay time between commands . Defaults to 0.01 .
Returns :
str : _description_
""" ' ' ' ' ' '
try :
print ( f " Sending command: { command } " )
instr . write ( command )
time . sleep ( sleeptime )
echo_response = instr . read ( ) # Read and discard the echo
# print(f"Echo response: {echo_response}")
actual_response = instr . read ( ) # Read the actual response
print ( f " Actual response: { actual_response } " )
return actual_response
except pyvisa . VisaIOError as e :
print ( f " Error communicating with instrument: { e } " )
return None
def write_no_echo ( instr : pyvisa . resources . Resource , command : str , sleeptime = 0.01 ) - > str :
""" helper function for the Attocube APS100 that writes a function to the device, removing the echo.
Args :
instr ( pyvisa . resources . Resource ) :
command ( str ) : commands , can be stringed in series with ; between commands
sleeptime ( float , optional ) : delay time between commands . Defaults to 0.01 .
Returns :
str : _description_
""" ' ' ' ' ' '
try :
print ( f " Sending command: { command } " )
instr . write ( command )
time . sleep ( sleeptime ) # Give the device some time to process
try :
while True :
echo_response = instr . read ( ) # Read and discard the echo
# print(f"Echo response: {echo_response}")
except pyvisa . VisaIOError as e :
# Expected timeout after all echoed responses are read
if e . error_code != pyvisa . constants . VI_ERROR_TMO :
raise
except pyvisa . VisaIOError as e :
print ( f " Error communicating with instrument: { e } " )
# TODO: implement the reverse scan and zero when finish functionality
# receive values in units of T, rescale in kg to talk with the power supplyy. 1T = 10kG
def sweep_b_val ( instr : pyvisa . resources . Resource , min_bval : float , max_bval : float ,
res : float , Settings : str , base_file_name = ' ' , path_save = " C:/Users/localadmin/Desktop/Users/Lukas/2024_02_08_Map_test " ,
singlepowersupply_bool = False , reversescan_bool = False , zerowhenfin_bool = False ) - > None :
""" this function performs a sweep of the B field of the chosen magnet coil. It creates a list o B values from the given min and max values, with the given resolution. For each value, a measurement of the spectrum
of the probe in the cryostat is made , using the LightField spectrometer .
Args :
instr ( pyvisa . resources . Resource ) : chosen power supply device to connect to
min_bval ( float ) : min B value of the scan ( please input in units of Tesla )
max_bval ( float ) : max B value of the scan ( please input in units of Tesla )
res ( float ) : resolution of the list of B values ( please input in units of Tesla )
Settings ( str ) : experiment settings , included in file name .
base_file_name ( str , optional ) : base file name . Defaults to ' ' .
path_save ( str , optional ) : file path where the file will be saved . Defaults to " C:/Users/localadmin/Desktop/Users/Lukas/2024_02_08_Map_test " .
singlepowersupply_bool ( bool , optional ) : _description_ . Defaults to False .
reversescan_bool ( bool , optional ) : _description_ . Defaults to False .
zerowhenfin_bool ( bool , optional ) : _description_ . Defaults to False .
Raises :
ValueError : when By limit is exceeded .
ValueError : when Bz limit is exceeded .
ValueError : when Bx limit is exceeded .
""" ' ' ' ' ' '
if base_file_name == ' ' :
base_file_name = datetime . datetime . now ( ) . strftime ( ' % Y_ % m_ %d _ % H. % M ' )
start_time = time . time ( )
instr_bsettings = list ( sep_num_from_units ( el ) for el in query_no_echo ( instr , ' UNITS?;LLIM?;ULIM? ' ) . split ( ' ; ' ) ) # deliver a 3 element tuple of tuples containing the set unit, llim and ulim
if instr_bsettings [ 0 ] [ 0 ] == ' T ' :
instr_bsettings [ 1 ] [ 0 ] = instr_bsettings [ 1 ] [ 0 ] * 0.1 # rescale kG to T, device accepts values only in kG or A, eventho we set it to T
instr_bsettings [ 2 ] [ 0 ] = instr_bsettings [ 2 ] [ 0 ] * 0.1
2024-07-12 15:10:17 +00:00
if singlepowersupply_bool : # checks limits of By
2024-07-12 14:55:20 +00:00
if ( min_bval < - BY_MAX ) or ( max_bval > BY_MAX ) :
raise ValueError ( ' Input limits exceed that of the magnet By! Please input smaller limits. ' )
elif ' 1 ' in query_no_echo ( instr , ' CHAN? ' ) : # check if its the coils for Bz
if ( min_bval < - BZ_MAX ) or ( max_bval > BZ_MAX ) :
raise ValueError ( ' Input limits exceed that of the magnet (Bz)! Please input smaller limits. ' )
else : # checks limits of Bx
if ( min_bval < - BX_MAX ) or ( max_bval > BX_MAX ) :
raise ValueError ( ' Input limits exceed that of the magnet Bx! Please input smaller limits. ' )
write_no_echo ( instr , f ' LLIM { min_bval * 10 } ;ULIM { max_bval * 10 } ' ) # sets the given limits, must convert to kG for the device to read
bval_lst = np . arange ( min_bval , max_bval + res , res ) # creates list of B values to measure at, with given resolution, in T
init_bval = sep_num_from_units ( query_no_echo ( instr , ' IMAG? ' ) ) [ 0 ] * 0.1 # queries the initial B value of the coil, rescale from kG to T
init_lim , subsequent_lim = ' LLIM ' , ' ULIM '
init_sweep , subsequent_sweep = ' DOWN ' , ' UP '
####################################################
# TODO: decide whether to start at min b val or max b val, depending on which one is nearer, IMPLEMENT THIS LATER
# nearest_bval = (abs(init_bval - min_bval), abs(init_bval - max_bval))
# if nearest_bval[0] <= nearest_bval[1]:
# reversescan_bool = True
####################################################
# if reverse scan, then flip the values in the b list, and swap the initial limit and sweep conditions
if reversescan_bool :
bval_lst = bval_lst [ : : - 1 ]
init_lim , subsequent_lim = subsequent_lim , init_lim
init_sweep , subsequent_sweep = subsequent_sweep , init_sweep
total_points = len ( bval_lst )
intensity_data = [ ] # To store data from each scan
cwd = os . getcwd ( ) # save original directory
#This gives a directory, in which the script will save the spectrum of each spot as spe
#However, it will open the spectrum, convert it to txt, add it to the intensity_data and delete the spe file
#scanning loop
for i , bval in enumerate ( bval_lst ) :
# if init_bval == bval:
# # if initial bval is equal to the element of the given iteration from the bval_lst, then commence measuring the spectrum
# pass
# else:
# TODO: improve the conditional block later on... try to shorten the number of conditionals needed/flatten the nested conditionals
# else, travel to the lower or higher limit, depending on how far the init val is to each bound, and commence the measurement from there on
# if not reversescan_bool:
if i == 0 : # for first iteration, sweep to one of the limits
write_no_echo ( instr , f ' { init_lim } { bval * 10 } ' ) # convert back to kG
write_no_echo ( instr , f ' SWEEP { init_sweep } ' )
else :
write_no_echo ( instr , f ' { subsequent_lim } { bval * 10 } ' ) # convert back to kG
write_no_echo ( instr , f ' SWEEP { subsequent_sweep } ' )
actual_bval = sep_num_from_units ( query_no_echo ( instr , ' IMAG? ' ) ) [ 0 ] * 0.1 # convert kG to T
print ( f ' Actual magnet strength: { actual_bval } T, ' , f ' Target magnet strength: { bval } T ' )
while abs ( actual_bval - bval ) > 0.0001 :
time . sleep ( 5 ) # little break
actual_bval = sep_num_from_units ( query_no_echo ( instr , ' IMAG? ' ) ) [ 0 ] * 0.1
# update the actual bval
print ( f ' Actual magnet strength: { actual_bval } T, ' , f ' Target magnet strength: { bval } T ' )
time . sleep ( 5 )
# we acquire with the LF
acquire_name_spe = f ' { base_file_name } _ { bval } T '
AcquireAndLock ( acquire_name_spe ) #this creates a .spe file with the scan name.
# read the .spe file and get the data as loaded_files
cwd = os . getcwd ( ) # save original directory
os . chdir ( path_save ) #change directory
loaded_files = sl . load_from_files ( [ acquire_name_spe + ' .spe ' ] ) # get the .spe file as a variable
os . chdir ( cwd ) # go back to original directory
# Delete the created .spe file from acquiring after getting necessary info
spe_file_path = os . path . join ( path_save , acquire_name_spe + ' .spe ' )
os . remove ( spe_file_path )
points_left = total_points - i - 1 # TODO: SEE IF THIS IS CORRECT
print ( ' Points left in the scan: ' , points_left )
#append the intensity data as it is (so after every #of_wl_points, the spectrum of the next point begins)
intensity_data . append ( loaded_files . data [ 0 ] [ 0 ] [ 0 ] )
#prints total time the mapping lasted
end_time = time . time ( )
elapsed_time = ( end_time - start_time ) / 60
print ( ' Scan time: ' , elapsed_time , ' minutes ' )
if zerowhenfin_bool :
write_no_echo ( instr , ' SWEEP ZERO ' ) # if switched on, discharges the magnet after performing the measurement loop above
#save intensity & WL data as .txt
os . chdir ( ' C:/Users/localadmin/Desktop/Users/Lukas ' )
# creates new folder for MAP data
new_folder_name = " Test_Map_ " + f " { datetime . datetime . now ( ) . strftime ( ' % Y_ % m_ %d _ % H. % M ' ) } "
os . mkdir ( new_folder_name )
# Here the things will be saved in a new folder under user Lukas !
# IMPORTANT last / has to be there, otherwise data cannot be saved and will be lost!!!!!!!!!!!!!!!!
os . chdir ( ' C:/Users/localadmin/Desktop/Users/Lukas/ ' + new_folder_name )
intensity_data = np . array ( intensity_data )
np . savetxt ( Settings + str ( min_bval ) + ' T_to_ ' + str ( max_bval ) + ' T ' + experiment_name + ' .txt ' , intensity_data )
wl = np . array ( loaded_files . wavelength )
np . savetxt ( " Wavelength.txt " , wl )
################################################################# END OF FUNCTION DEFS ###########################################################################################
# NOTE: RYAN INTRODUCED SOME FUNCTIONS HERE TO PERFORM THE SCAN
# Initialise PYVISA ResourceManager
rm = pyvisa . ResourceManager ( )
# print(rm.list_resources()) # 'ASRL8::INSTR' for dual power supply, 'ASRL9::INSTR' for single power supply
# Open the connection with the APS100 dual power supply
powerbox_dualsupply = rm . open_resource ( ' ASRL8::INSTR ' ,
baud_rate = 9600 , # Example baud rate, adjust as needed
data_bits = 8 ,
parity = pyvisa . constants . Parity . none ,
stop_bits = pyvisa . constants . StopBits . one ,
timeout = 5000 ) # 5000 ms timeout
write_no_echo ( powerbox_dualsupply , ' REMOTE ' ) # turn on the remote mode
# select axis for the dual supply, either z-axis(CHAN 1 ^= Supply A) or x-axis(CHAN 2 ^= Supply B)
write_no_echo ( powerbox_dualsupply , ' CHAN 1 ' )
# Setup connection to AMC
amc = AMC . Device ( IP )
amc . connect ( )
# Internally, axes are numbered 0 to 2
amc . control . setControlOutput ( 0 , True )
amc . control . setControlOutput ( 1 , True )
auto = Automation ( True , List [ String ] ( ) )
experiment = auto . LightFieldApplication . Experiment
acquireCompleted = AutoResetEvent ( False )
experiment . Load ( " Lukas_experiment_2024_02_06 " )
experiment . ExperimentCompleted + = experiment_completed # we are hooking a listener.
# experiment.SetValue(SpectrometerSettings.GratingSelected, '[750nm,1200][0][0]')
# InitializerFilenameParams()
#set scan range and resolution in nanometers
range_x = 20000
range_y = 20000
resolution = 1000
# set B-field scan range and resolution (all in T)
set_llim_bval = - 0.01
set_ulim_bval = 0.01
set_res_bval = 0.01
#Here you can specify the filename of the map e.g. put experiment type, exposure time, used filters, etc....
experiment_settings = ' PL_SP_700_LP_700_HeNe_52muW_exp_2s_Start_ '
#The program adds the range of the scan as well as the resolution and the date and time of the measurement
experiment_name = f " { set_llim_bval } T_to_ { set_ulim_bval } T_ { set_res_bval } T_ { datetime . datetime . now ( ) . strftime ( ' % Y_ % m_ %d _ % H % M ' ) } "
# # TODO: write the bval scan here
# for idx, bval in enumerate(bval_lst):
# write_no_echo(powerbox_dualsupply, '')
# this moves the probe in xy-direction and measures spectrum there
# move_scan_xy(range_x, range_y, resolution, experiment_settings, experiment_name)
# perform the B-field measurement for selected axis above
# sweep_b_val(powerbox_dualsupply, set_llim_bval, set_ulim_bval, set_res_bval, experiment_settings, experiment_name)
sweep_b_val ( powerbox_dualsupply , set_llim_bval , set_ulim_bval , set_res_bval ,
experiment_settings , experiment_name , singlepowersupply_bool = False , zerowhenfin_bool = True , reversescan_bool = False )
# Internally, axes are numbered 0 to 2
write_no_echo ( powerbox_dualsupply , ' LOCAL ' ) # turn off the remote mode
# time.sleep(0.5)
powerbox_dualsupply . close ( )
2024-07-12 15:10:17 +00:00
# TEST COMMIT MAIN BRANCH