コード例 #1
0
    def __init__(
            self,
            awgparam='Z:/Tweezer/Experimental/AOD/2D AOD/Array normalisation/6x1array.txt',
            image_dir='Z:/Tweezer/Experimental/AOD/2D AOD/Array normalisation/Normalised',
            cam_roi=None,
            fit_roi_size=50,
            freq_amp_max=[1, 1]):
        ### set up AWG
        self.awg = AWG([0, 1], sample_rate=int(1024e6))
        fdir = 'Z:/Tweezer/Experimental/Setup and characterisation/Settings and calibrations/tweezer calibrations/AWG calibrations'
        self.awg.setCalibration(0,
                                fdir + '/814_H_calFile_17.02.2022.txt',
                                freqs=np.linspace(85, 110, 100),
                                powers=np.linspace(0, 1, 200))
        self.awg.setCalibration(1,
                                fdir + '/814_V_calFile_17.02.2022.txt',
                                freqs=np.linspace(85, 115, 100),
                                powers=np.linspace(0, 1, 200))
        self.awg.load(awgparam)
        self.awg.param_file = awgparam
        self.awg.setTrigger(0)  # 0 software, 1 ext0
        seg = self.awg.filedata["segments"]["segment_0"]
        self.f0 = eval(seg["channel_0"]["freqs_input_[MHz]"])
        self.f1 = eval(seg["channel_1"]["freqs_input_[MHz]"])
        self.ncols = len(self.f0)
        self.nrows = len(self.f1)
        self.a0 = np.array(eval(seg["channel_0"]["freq_amp"]), dtype=float)
        self.a1 = np.array(eval(seg["channel_1"]["freq_amp"]), dtype=float)
        self.ulim = freq_amp_max
        self.amp = int(seg["channel_0"]["tot_amp_[mV]"])

        #### set up camera
        self.cam = Camera(exposure=7, gain=1, roi=cam_roi)
        self.awg.start()
        time.sleep(0.5)
        self.cam.auto_gain_exposure()
        self.cam.update_exposure(self.cam.exposure * 0.6)  # saturating is bad

        #### image handler saves images
        self.imhand = ImageHandler(image_dir=image_dir,
                                   measure_params={
                                       'rows': self.nrows,
                                       'columns': self.ncols,
                                       'AWGparam_file': awgparam
                                   })
        self.imhand.create_dirs()

        #### fitr extracts trap positions and intensities from an image
        self.fitr = imageArray(dims=(self.ncols, self.nrows),
                               roi_size=fit_roi_size,
                               fitmode='sum')
        self.fitr.setRef(self.get_image(-1, -1, auto_exposure=False))
コード例 #2
0
ファイル: DE_optimise.py プロジェクト: ssquantum/PyDex
    def __init__(self,
                 f0=135,
                 f1=185,
                 nfreqs=50,
                 fset=166,
                 pwr=1,
                 tol=1e-3,
                 sleep=0.5):
        self.status = 'checking'
        # parameters
        self.f0 = f0  # lower bound
        self.f1 = f1  # upper bound
        self.nfreqs = nfreqs  # number of frequencies
        self.fset = fset  # setpoint
        self.pwr = pwr  # amplitude
        self.tol = tol  # tolerance
        self.sleep = sleep  # sleep duration

        #
        self.fs = np.linspace(f0, f1, nfreqs)  # frequencies to test
        self.vs = np.ones(nfreqs) * 200  # amplitude mV at those freqs
        self.v = 200  # current amplitude being tried
        self.i = 0  # current index being set
        self.setpoint = 1  # DAQ measurement to match to
        self.n = 0  # counter for number of measurements

        # setup
        self.s = PyServer(host='', port=8622)  # server for DAQ
        self.s.textin.connect(self.respond)
        self.s.start()
        self.dxs = PyServer(host='', port=8620)  # server for DExTer
        # self.dxs.textin.connect(self.respond)
        self.dxs.start()

        self.t = AWG([0, 1])
        self.t.setNumSegments(128)
        self.t.setTrigger(0)  # software trigger
        self.t.setSegDur(0.002)

        # segment, action, duration, freqs, numTraps, separation, freqAdjust, ampAdjust
        # self.t.setSegment(0, 1, 0.02, [fset], 1, 9, amp, [1], [0], False, False) # single trap
        # # step, segment, numLoops, nextStep, triggerCondition
        # self.t.setStep(0,0,1,0,1) # infinite loop
        # self.t.start()
        # self.t.setSegment(0, self.t.dataGen(0,0,'static',1,[fset],1,9, amp,[1],[0],False,False))
        # self.t.setStep(0,0,1,0,1)
        self.t.load(
            r'Z:\Tweezer\Code\Python 3.5\PyDex\awg\AWG template sequences\2channel_swap_static.txt'
        )
コード例 #3
0
ファイル: rearrHandler.py プロジェクト: ssquantum/PyDex
    def __init__(self, AWG_channels=[0]):

        # Rearrangement variables

        self.awg = AWG(AWG_channels)  # opens AWG card and initiates
        self.awg.setNumSegments(32)
        self.activate_rearr(False)

        self.movesDict = {
        }  # dictionary will be populated when segments are calculated
        self.segmentCounter = 0  # Rearranging: increments by 1 each time calculateAllMoves uploaded a new segment
        self.rr_config = r'Z:\Tweezer\Code\Python 3.5\PyDex\awg\rearr_config_files\rearr_config.txt'  # default location of rearrange config file
        self.loadRearrParams(
        )  # Load rearrangment parameters from a config file
        self.lastRearrStep = 0  # Tells AWG what segment to go to at end of rearrangement
        self.OGfile = None
        self.set_functions()
コード例 #4
0
 def renewAWG(self, cmd="chans=[0]"):
     try:
         eval(cmd.split('=')[1])
     except Exception as e:
         self.set_status('Invalid renew command: ' + cmd)
         logger.error('Could not renew AWG.\n' + str(e))
         return 0
     self.rr.awg.restart()
     self.rr.awg.newCard()
     self.rr.awg = None
     self.rr.awg = AWG(eval(cmd.split('=')[1]))  #
     self.rr.awg.setNumSegments(8)
     # self.awg.setTrigger(0) # 0 software, 1 ext0
     self.rr.awg.setSegDur(0.005)
     self.set_status('New instance of AWG created.')
コード例 #5
0
ファイル: rearrHandler.py プロジェクト: ssquantum/PyDex
class rearrange():
    ### Rearrangement ###
    def __init__(self, AWG_channels=[0]):

        # Rearrangement variables

        self.awg = AWG(AWG_channels)  # opens AWG card and initiates
        self.awg.setNumSegments(32)
        self.activate_rearr(False)

        self.movesDict = {
        }  # dictionary will be populated when segments are calculated
        self.segmentCounter = 0  # Rearranging: increments by 1 each time calculateAllMoves uploaded a new segment
        self.rr_config = r'Z:\Tweezer\Code\Python 3.5\PyDex\awg\rearr_config_files\rearr_config.txt'  # default location of rearrange config file
        self.loadRearrParams(
        )  # Load rearrangment parameters from a config file
        self.lastRearrStep = 0  # Tells AWG what segment to go to at end of rearrangement
        self.OGfile = None
        self.set_functions()

    def activate_rearr(self, toggle=False):
        """Turn rearranging ON or OFF. Calls set_functions whenever rearrToggle is changed so that there 
           is no mixup.
           Args: 
               - toggle: True or False.
        """
        self.rearrToggle = toggle
        self.set_functions()

    def calculateAllMoves(self):
        """Given the initial and target frequencies, calculate all the possible moves
            from start array to target array
            
            There are 2 modes: if self.rearrMode = 
                - use_exact: segments are for a fixed number (e.g. 5) initial sites sweeping to a 
                             fixed number of target sites (e.g. 2). If not enough atoms, do nothing,
                             if too many atoms, throw away extra
                - use_all  : segements are for a fixed number of of initial sites. The number of target
                             sites depends on how many atoms were loaded. Target array fills up as many 
                             sites as there are atoms.
            If self.rParam["power_ramp"] is True, then after rearrangment, traps will ramp up to new freq_amp.
            
            
            """
        t0 = time.time()
        # reinitialise values
        self.segmentCounter = 0  # RESET the segment counter when recalculating segments
        self.movesDict = {}
        self.loadRearrParams()
        self.lastRearrStep = 0

        req_n_segs = self.rParam[
            'headroom_segs']  #  Add 10 to required num of rearr segs for appending auxilliary moves afterwards
        #self.awg.setNumSegments(req_n_segs)
        start_key = self.fstring(
            self.initial_freqs)  # Static array at initial trap freqs
        self.createRearrSegment(start_key + 'si', seg=0)

        # rearrMode = use_exact: rearrangement only occurs if AT LEAST the target number of atoms is loaded
        if self.rearrMode == 'use_exact':

            end_key = self.fstring(
                self.target_freqs)  # Static array at target trap freqs
            if self.rParam['power_ramp'] == False:
                self.createRearrSegment(end_key + 'st', seg=2)
                self.segmentCounter = 3
            if self.rParam['power_ramp'] == True:
                self.createRearrSegment(
                    end_key + 'r',
                    seg=2)  # ramp target sites up to a freq_amp value.
                self.createRearrSegment(end_key + 'st', seg=3)
                self.segmentCounter = 4

            if len(self.initial_freqs) < len(self.target_freqs):
                print(
                    'WARNING: more target frequencies than initial frequencies! \n '
                    'Moves not calculated.')

            else:  # proceed if fewer target traps than initial traps
                for m in range(
                        len(self.target_freqs)
                ):  # loop over m means we can deal with cases nLoaded < nTarget
                    for x in combinations(start_key,
                                          len(self.target_freqs) - m):
                        nloaded = "".join(x)
                        self.createRearrSegment(
                            nloaded + 'm' + ''.join(
                                self.fstring(
                                    self.target_freqs[:len(nloaded)])),
                            seg=1
                        )  # dont supply seg arg here so that data is not set
            #self.r_setStep(0,0,1,0,1)

        # rearrMode = use_all: ANY atom which is loaded will be rearranged to make as large a complete array as possible.
        elif self.rearrMode == 'use_all':

            # Generate each segment
            for j in range(len(start_key)):
                nloaded = len(start_key) - j
                end_key = self.fstring(
                    [1] * nloaded
                )  # Creat segment: static array at target trap freqs

                self.createRearrSegment(end_key + 'st', seg=2)
                self.segmentCounter = 3

                for x in combinations(
                        start_key, nloaded
                ):  #  for each of the possible number of traps being loaded
                    self.createRearrSegment(
                        ''.join(x) + 'm' +
                        ''.join(self.fstring([1] * nloaded)),
                        seg=1)

        self.setBaseRearrangeSteps(
        )  # Once all moves calculated, set the base segments which are constant during rearrangement

        t1 = time.time()
        print('All move data calculated in ' + str(round(t1 - t0, 3)) +
              ' seconds.')

    def createRearrSegment(self, key, seg=None):
        """
        Pass a key to this function which will:
            1. Parse the key to determine if static or moving or ramping
            2. Using default inputs from rParams dictionary, generate data
            3. Assign the data to movesDict with the given key. 
        
        Args:
            key - of the form:
                        - 0123si (static, use initial array freqs)
                        - 0123st (static, use target array freqs)
                        - 0134m012 (moving, from initial array (sites 0134) -> target array (sites01)
                        - 012r   (power ramping, use target array freqs)               
        """
        if seg == None:  # specify the exact segment in the card, else it will default to 1 (the rearranging moving seg is 1)
            seg = 1
        # STATIC TRAP
        if 's' in key:
            fa = self.rearr_freq_amp
            duration = self.rParam['static_duration_[ms]']
            if 'si' in key:  # Initial array of static traps
                f1 = self.flist(key.partition('s')[0], self.initial_freqs)
            elif 'st' in key:  # Target array of static traps
                if self.rearrMode == 'use_exact':
                    f1 = self.flist(key.partition('s')[0], self.target_freqs)
                elif self.rearrMode == 'use_all':
                    f1 = self.flist(key.partition('s')[0], self.initial_freqs)

                if self.rParam['power_ramp'] == True:
                    fa = self.rParam['final_freq_amp']
            if self.rParam['phase_adjust'] == True and len(f1) > 1:
                phase = list(
                    phase_minimise(freqs=f1,
                                   dur=duration,
                                   sampleRate=self.awg.sample_rate.value / 1e6,
                                   freqAmps=[fa] * len(f1)))
            else:
                phase = [0] * len(f1)
            data = self.awg.dataGen(
                seg,
                self.rParam['channel'],
                'static',  # action
                self.rParam['static_duration_[ms]'],
                f1,
                1,
                9,  # pointless legacy arguments 
                self.rParam['tot_amp_[mV]'],
                [fa] * len(f1),  # tone freq. amps
                phase,  #  tone phases
                self.rParam['freq_adjust'],
                self.rParam['amp_adjust'])
        # MOVING TRAP
        elif 'm' in key:  # Move from initial array to target array of static traps
            f1 = self.flist(key.partition('m')[0], self.initial_freqs)
            if self.rearrMode == 'use_exact':
                f2 = self.flist(key.partition('m')[2], self.target_freqs)
                fa = self.rearr_freq_amp
            elif self.rearrMode == 'use_all':
                f2 = self.flist(key.partition('m')[2], self.initial_freqs)

            data = self.awg.dataGen(
                seg,
                self.rParam['channel'],
                'moving',
                self.rParam['moving_duration_[ms]'],
                f1,
                f2,
                self.rParam['hybridicity'],
                self.rParam['tot_amp_[mV]'],
                [self.rearr_freq_amp] * len(
                    f1
                ),  # start freq amps divide by n initial traps for consistent trap depth
                [self.rearr_freq_amp] * len(f1),  # end freq amps
                [0] * len(f1),  # freq phases
                self.rParam['freq_adjust'],
                self.rParam['amp_adjust'])
            duration = self.rParam['moving_duration_[ms]']
        # RAMPING TRAP
        elif 'r' in key:  # Ramp target array frequency amplitudes up to make use of freed-up RF power.
            f2 = self.flist(key.partition('r')[0], self.target_freqs)
            if self.rParam[
                    'final_freq_amp'] == 'default':  # If you say final freq amp is default it will divide through by n target sites
                ffa = 1 / len(
                    f2)  # else it will go to the value you have specified.
            else:
                ffa = self.rParam['final_freq_amp']
            data = self.awg.dataGen(
                seg,
                self.rParam['channel'],
                'ramp',
                self.rParam['ramp_duration_[ms]'],
                f2,
                1,
                9,  # pointless legacy arguments
                self.rParam['tot_amp_[mV]'],
                [self.rearr_freq_amp] * len(f2),  # start freq amps
                [ffa] * len(f2),  # end freq amps
                [0] * len(f2),  # freq phases
                self.rParam['freq_adjust'],
                self.rParam['amp_adjust'])
            duration = self.rParam['ramp_duration_[ms]']

        self.movesDict[key] = [
            data
        ]  # List of data saves to movesDict, can be inserted to setSegment during rearrangement.

        if len(self.awg.channel_enable) == 2:
            # assume active channels are either 0 or 1
            chan2 = 1 - self.rParam['channel']
            f3 = self.rParam['alt_freqs']
            if self.rParam['phase_adjust'] == True and len(f3) > 1:
                phase = list(
                    phase_minimise(freqs=f3,
                                   dur=duration,
                                   sampleRate=self.awg.sample_rate.value / 1e6,
                                   freqAmps=[1] * len(f3)))
            else:
                phase = [0] * len(f3)

            # has to be moving so that the duration of data is right (static does loops)
            data2 = self.awg.dataGen(
                seg,
                chan2,
                'moving',
                duration,
                f3,
                f3,
                1,  # frequencies
                self.rParam['alt_amp_[mV]'],
                [1] * len(f3),
                [1] * len(f3),  # amps
                phase,  #phase
                self.rParam['freq_adjust'],
                self.rParam['amp_adjust'])
            self.movesDict[key].insert(chan2, data2)

        if seg is not None or 1:  # If you have specified the segment argument, it will set segment (used ininitial setup of rearr)
            self.awg.setSegment(
                seg, *self.movesDict[key]
            )  # because of garbage awgHandler code, need to call setSegment immediately after datagen

    def r_setStep(self, *args):
        """Calls the AWG set step function and also updates the filedata dictionary.
        Args same as setStep. 
        # NOTE this function might actually be unecessary... (regular setStep might already update filedata dictionary)
        """
        self.awg.setStep(*args)
        #keys = ['step_value','segment_value','num_of_loops','next_step','condition'] # order arguments correctly
        for i in range(len(self.awg.stepOrder)):
            self.awg.filedata['steps']['step_' + str(args[0])][
                self.awg.stepOrder[i]] = args[i]

    def setBaseRearrangeSteps(self):
        """ Set the steps to follow during the rearrangement (only segment 1 will be changed during routine)
        """

        # Setting the steps:  (probably a cleaner way to do this)

        self.r_setStep(0, 0, 1, 1, 1)  # Static traps until TTL received
        self.r_setStep(
            1, 1, 1, 2, 2
        )  # Moving traps for fixed duration, automatically moves to next step

        if self.rParam['power_ramp'] == False:
            self.r_setStep(
                2, 2, 1, self.lastRearrStep,
                1)  # Static traps on at target site until triggered.
        elif self.rParam['power_ramp'] == True:
            self.r_setStep(2, 2, 1, 3, 2)
            self.r_setStep(
                3, 3, 1, self.lastRearrStep,
                1)  # Static traps on at target site until triggered.

    def setRearrSeg(self, occupancyStr):
        """Calculate the  rearrangement step required. 
           Args: 
               - occupancyStr = string of 0's & 1's e.g. '0101010' 
           
            Basically then converts this to a key, which is used to look in movesDict for the correct
            data, which is then sent to card via awg.setSegment.
        
        """

        keyStr = self.convertBinaryOccupancy(occupancyStr)

        if len(keyStr) < len(
                self.target_freqs) and self.rearrMode == 'use_exact':
            moveKey = keyStr + 'm' + ''.join(self.fstring(keyStr))
            self.awg.setSegment(1, *self.movesDict[moveKey], verbosity=False)

        else:
            # WARNINGS to notify you there's a user error in setting # ROIs.
            if len(occupancyStr) > len(self.initial_freqs):
                print('WARNING: There are ' +
                      str(np.abs(len(occupancyStr) -
                                 len(self.initial_freqs))) +
                      ' fewer traps than PyDex ROIs')
                print(occupancyStr, self.initial_freqs)

            if len(occupancyStr) < len(self.initial_freqs):
                print('WARNING: There are ' +
                      str(np.abs(len(occupancyStr) -
                                 len(self.initial_freqs))) +
                      ' more traps than PyDex ROIs')

            if self.rearrMode == 'use_exact':
                moveKey = keyStr[-len(self.target_freqs):] + 'm' + ''.join(
                    self.fstring(self.target_freqs))
                self.awg.setSegment(
                    1, *self.movesDict[moveKey], verbosity=False
                )  # segment 1 is always the move segment (0 static, 1 move, 2 static //OR// 2 ramp, 3 static)

            elif self.rearrMode == 'use_all':
                moveKey = keyStr + 'm' + ''.join(
                    self.fstring([1] * len(keyStr)))
                self.awg.setSegment(
                    1, *self.movesDict[moveKey], verbosity=False
                )  # segment 1 is always the move segment (0 static, 1 move, 2 static //OR// 2 ramp, 3 static)

                endKey = self.fstring(['1'] * len(keyStr)) + 'st'
                self.awg.setSegment(
                    2, *self.movesDict[moveKey], verbosity=False
                )  # segment 1 is always the move segment (0 static, 1 move, 2 static //OR// 2 ramp, 3 static)

    def loadRearrParams(self):
        """Load rearrangement parameters from a config file, i.e. params like
        Amp adjust, phases, duration etc. For the moment just set the manually"""
        # self.rParam={"amp_adjust":True,
        #               "freq_adjust":False,
        #               "tot_amp_[mV]":280,
        #               "channel":0,
        #               "static_duration_[ms]":1, "moving_duration_[ms]":1, "ramp_duration_[ms]":5,
        #               "hybridicity":0,
        #               "initial_freqs":[190.,177.5,165.,152.5,140.],
        #               "target_freqs":[190.],
        #               "headroom_segs":10,
        #               "rearrMode":"use_all",
        #               "rearr_freq_amps":0.13,  # If default, rearr freq amps are 1/(n traps). else they are float
        #               "power_ramp":True,
        #               "final_freq_amp": 0.5,
        #               "phase_adjust" : False,
        #               }

        with open(self.rr_config) as json_file:
            self.rParam = json.load(json_file)
        self.rearrMode = self.rParam["rearrMode"]
        self.initial_freqs = self.rParam['initial_freqs']
        self.target_freqs = self.rParam['target_freqs']
        self.setRearrFreqAmps(
            self.rParam['rearr_freq_amps']
        )  # Initialises frequency amplitudes during rearrangment to default 1/len(initial_freqs)
        try:
            self.awg.setSegDur(self.rParam['static_duration_[ms]'])
        except AttributeError:
            print("Loading rearr params but couldn't set static trap duration")

    # self.saveRearrParams()

    def printRearrInfo(self):
        """Print out the current status of the card, after changes have been applied by rearrangement functions."""
        if self.rearrToggle == True:
            print('Rearranging is ON')
            print('Rearrange mode is: ' + self.rearrMode)
        elif self.rearrToggle == False:
            print('Rearranging is OFF')
        print('  - Config file used is: ' + self.rr_config)
        print('  - Current active channels =' + str(self.awg.channel_enable))
        print('  - Card is partitioned into ' + str(self.awg.num_segment) +
              ' segments')
        print('  - Sample rate is = ' + str(self.awg.sample_rate.value))
        print(
            '  - Max duration / segment = ',
            4e9 / (2 * self.awg.num_segment * self.awg.sample_rate.value *
                   len(self.awg.channel_enable)) * 1e3, ' ms')
        print('  - Initial frequencies = ' + str(self.initial_freqs))
        print('  - Target frequencies = ' + str(self.target_freqs))
        #print('  - Segment keys = '+str(self.movesDict))
        print('  - Rearranging freq_amps are = ', self.rearr_freq_amp)
        print('')

    def setRearrFreqAmps(self, value='default'):
        """Set the frequency amplitudes during rearrangment either to default or to some fixed amplitude.
            When rearr is initialised, default freq amps are 1/(# initial traps)
            From python command terminal can set value to something fixed, applied globally across all rearr freq amps.
            e.g. set freq_amp = 0.2 and in all steps it will be 2.
            """

        if value == 'default':
            self.rearr_freq_amp = round(1 / len(self.initial_freqs), 3)
        else:
            self.rearr_freq_amp = float(value)

    def rearr_load(
        self,
        file_dir='Z:\Tweezer\Experimental\AOD\m4i.6622 - python codes\Sequence Replay tests\metadata_bin\\20200819\\20200819_165335.txt'
    ):
        """
        A method that receives as a single input a metadata file as generated by the self.save() method.
        It assumes no user input other than the full path to the file, so no checks are performed.
        Potential errors will be flagged as the dataGen and setSegment methods
        
        Rearrangment: this is a modified version of the load function copied for awgHandler. If rearrangment is active, 
        loaded files segments will be appended to rearrangmeent segments & re-indexed
        Steps will be reindexed to start after rearrangement is complete.
        """

        if self.OGfile is None:
            self.OGfile = file_dir  #  save the file directory when we load so that we can copy the untampered file

        with open(file_dir) as json_file:
            filedata = json.load(
                json_file
            )  # rearr: this and following used to be self.filedata, but that i think was wrong.

        lsegments = filedata['segments']  # segments to be loaded
        lsteps = filedata['steps']  # steps to be loaded
        lprop = filedata['properties'][
            'card_settings']  # card properties to be loaded
        lchannels = eval(lprop["active_channels"])
        lchannels.sort()  # Ensuring that channels are read in ascending order.
        segNumber = len(lsegments)  # number of segments to be loaded
        stepNumber = len(lsteps)  # number of steps to be loaded

        for i in range(segNumber):
            """
            For each segment stored, go through all available channels
            and generate the data.
            
            Then, send the buffer to the card.
            
            """
            tempData = []

            for j in lchannels:
                # Finds what action_val was used for this segment and channel
                actionUsed = lsegments['segment_' +
                                       str(i)]['channel_' +
                                               str(j)]['action_val']
                # Load the relevant parameters in the given order
                arguments = [
                    lsegments['segment_' + str(i)]['channel_' + str(j)][x]
                    for x in AWG.loadOrder[actionUsed]
                ]
                # Generate the data and append them to the tempData variable.

                if self.rearrToggle == True:  # if rearranging is ON, then add segmentCounter to segment, arguments[0], to
                    arguments[0] = arguments[0] + self.segmentCounter

                tempData.append(self.awg.dataGen(*arguments))

            # If rearranging on, then index loaded segments starting from index of last rearr segment to avoid overwriting.
            self.awg.setSegment(i + self.segmentCounter, *tempData)

        if self.rParam[
                'power_ramp'] == False:  # this if statement is duplicated in setBaseREarrangeSteps()
            self.lastRearrStep = 3
        else:
            self.lastRearrStep = 4
        self.setBaseRearrangeSteps(
        )  # Call this again to reset the base card segments, (to update lastRearrStep)
        for i in range(stepNumber):
            # If rearrToggle is true, then here we want last rearr step to move onto 1st loaded step.
            stepArguments = [
                lsteps['step_' + str(i)][x] for x in AWG.stepOrder
            ]

            stepArguments[
                0] += self.lastRearrStep  # reindex step number starting from last rearrange step.
            stepArguments[
                1] += self.lastRearrStep  # reindex segments starting from last segment
            if stepArguments[
                    3] != 0:  # reindex NEXT step number starting from last rearrange step
                stepArguments[3] += self.lastRearrStep  # unless next step is 0
            # stepArguments[4]=2 # set all trigs to 2 --- don't change this!
            if i == stepNumber - 1:
                stepArguments[4] = 1  # last trigger should be 1
            #print(stepArguments)

            self.awg.setStep(*stepArguments)

        #self.calculateSteps('1'*len(self.initial_freqs))   #  after load, run calculateSteps to set triggers correctly.

    def printMovesDict(self):
        for key in self.movesDict:
            #if 'ru' in key:
            print(key)

    def rearr_loadSeg(self, cmd):
        """If rearrangement is active, and we're multirunning, we need to reindex the multirun set_data commands starting
           from segment counter so that we change the right steps.
           
           awgHandler.loadSeg(listChanges)
           listChanges expects a list of lists in the following format:
            [[channel,segment,key_word1,new_value1,index],[channel,segment,key_word2,new_value2,index], ...]
            
            loop though and add self.segmentCounter to the segment in each command.
            
            """
        #set_data=[[0,1,"freqs_input_[MHz]",160.0,0]]
        for i in range(len(cmd)):
            cmd[i][1] += self.segmentCounter
        self.awg.loadSeg(cmd)

    def saveRearrParams(
            self,
            savedir=r'Z:\Tweezer\Code\Python 3.5\PyDex\awg\rearr_config_files'
    ):
        """Save the rearrangement parameters used to a metadata file. """
        with open(savedir + r'\rearr_config.txt', 'w') as fp:
            json.dump(self.rParam, fp, indent=1, separators=(',', ':'))

    def rearr_saveData(self, path):
        """If rearranging is ON, replace awgHandler.save method with THIS method.
            - We no longer save the curent filedata, instead a COPY of the original file loaded in. 
        """

        #print('save path = ' + path)
        self.saveRearrParams(
            path.rpartition('\\')[0])  # saves rearr_config.txt to measure file
        if self.OGfile is not None:  # avoid error if you haven't loaded in a file after rearranging.
            self.copyOriginal(
                path
            )  # saves AWGparams_base (the base AWG file without rearr segs)

    def copyOriginal(self, save_path):
        """This function serves to COPY the loaded in file, which gets saved to the relevant Measure folder. 
           It copies the unmodified AWGparam file and saves it (to avoid saving all the rearrangement steps too)"""
        shutil.copy(self.OGfile, save_path)

    def fstring(self, freqs):
        """Convert a list [150, 160, 170]~MHz to '012' """
        return ("".join(str(i) for i in range(len(freqs))))

    def flist(self, fstring, freq_list):
        """Given a string of e.g. '0123' and an array (initial/target), convert this to a list of freqs
            Args: 
                fstring   - string of integer numbers from 0 to 9 in ascending order.
                freq_list - array of freqs (either initial or target) which get sliced depending on fstring supplied
                    
            e.g. if fstring = 0134 and freq_list = [190.,180.,170.,160.,150.],
                will return [190.,180.,160.,150.]
            
            """
        return [freq_list[int(k)]
                for k in list(fstring)]  #   returns list of frequencies

    def convertBinaryOccupancy(self, occupancyStr='11010'):
        """Convert the string of e.g 010101 received from pyDex image analysis to 
        a string of occupied sites """
        occupied = ''
        j = 0
        for _ in range(
                len(occupancyStr)
        ):  # unless they're all occupied, we won't need every iteration
            try:
                i = occupancyStr.index('1', j)
                occupied += str(i)
                j = i + 1
            except ValueError:
                break

        if occupied == '':  # deal with the case of zero atoms being loaded
            occupied = '0'

        return occupied

    def set_functions(self):
        """
        WARNING: ISSUES WITH THIS WAY OF DOING IT. ALTHOUGH SEEMS LIKE IT SHOULD BE FIND, WE HAVE SEEN
        THAT IT CAUSES ISSUES FOR SOME REASON AND DOESN'T WORK
        Depending if rearrangement is on or off, redefine certain functions to behave differently.      
        By setting the function as soon as rearrangement is ON/OFF, avoids lots of IF statements in other
        functions which is cleaner and makes faster.
        """
        if self.rearrToggle == False:  # If rearrangement is OFF
            pass
        # self.load = self.awg.load
        # self.loadSeg = self.awg.loadSeg
        #  self.save = self.awg.saveData
        #  print('using regular functions')

        elif self.rearrToggle == True:  # If rearrangement is ON
            pass
        # self.load = self.rearr_load
        #self.loadSeg = self.rearr_loadSeg
        # self.save = self.rearr_saveData
        #print('using rearr version of functions')

    def phase_adjust(self, N):
        """Analytic expression (Schroeder paper) to adjust phases to give a lower crest factor
           - Args = N : number of traps 
           Returns array of phases in degrees """
        phi = np.zeros(N)
        for i in range(N):
            phi[i] = -np.pi / 2 - np.pi * (i + 1)**2 / N
        phi = phi / np.pi * 180
        return (phi)
コード例 #6
0
ファイル: DE_optimise.py プロジェクト: ssquantum/PyDex
class Optimiser():
    """Take measurements from the DAQ of the output optical power at different
    frequencies and use them to flatten the diffraction efficiency curve of 
    the AWG. Communicate with the DAQ by TCP.
    Take a measurement of the setpoint between every trial since the setpoint
    will probably vary over time.
    
    Arguments:
    f0    : bottom of frequency range, MHz
    f1    : top of frequency range, MHz
    nfreqs: number of frequencies to test in the range
    fset  : setpoint frequency, match the diffraction efficiency at this point, MHz
    pwr   : output power desired as a fraction of the setpoint
    tol   : tolerance to match to setpoint
    sleep : time to sleep betewen setting AWG freq and taking measurement, seconds
    """
    def __init__(self,
                 f0=135,
                 f1=185,
                 nfreqs=50,
                 fset=166,
                 pwr=1,
                 tol=1e-3,
                 sleep=0.5):
        self.status = 'checking'
        # parameters
        self.f0 = f0  # lower bound
        self.f1 = f1  # upper bound
        self.nfreqs = nfreqs  # number of frequencies
        self.fset = fset  # setpoint
        self.pwr = pwr  # amplitude
        self.tol = tol  # tolerance
        self.sleep = sleep  # sleep duration

        #
        self.fs = np.linspace(f0, f1, nfreqs)  # frequencies to test
        self.vs = np.ones(nfreqs) * 200  # amplitude mV at those freqs
        self.v = 200  # current amplitude being tried
        self.i = 0  # current index being set
        self.setpoint = 1  # DAQ measurement to match to
        self.n = 0  # counter for number of measurements

        # setup
        self.s = PyServer(host='', port=8622)  # server for DAQ
        self.s.textin.connect(self.respond)
        self.s.start()
        self.dxs = PyServer(host='', port=8620)  # server for DExTer
        # self.dxs.textin.connect(self.respond)
        self.dxs.start()

        self.t = AWG([0, 1])
        self.t.setNumSegments(128)
        self.t.setTrigger(0)  # software trigger
        self.t.setSegDur(0.002)

        # segment, action, duration, freqs, numTraps, separation, freqAdjust, ampAdjust
        # self.t.setSegment(0, 1, 0.02, [fset], 1, 9, amp, [1], [0], False, False) # single trap
        # # step, segment, numLoops, nextStep, triggerCondition
        # self.t.setStep(0,0,1,0,1) # infinite loop
        # self.t.start()
        # self.t.setSegment(0, self.t.dataGen(0,0,'static',1,[fset],1,9, amp,[1],[0],False,False))
        # self.t.setStep(0,0,1,0,1)
        self.t.load(
            r'Z:\Tweezer\Code\Python 3.5\PyDex\awg\AWG template sequences\2channel_swap_static.txt'
        )
        # self.t.start()

    def respond(self, msg=''):
        """TCP message can contain the measurement from the DAQ"""
        try:
            val = float(msg)
            if self.status == 'checking':
                self.setpoint = val
                self.status = 'comparing'
                f, v = self.fs[self.i], self.v
            elif self.status == 'comparing':
                self.status = 'checking'
                self.modify(val)
                f, v = self.fset, 1
            elif self.status == 'finished':
                return 0

            print('f:%.4g, v:%.4g' % (f, v), val, self.setpoint)
            self.t.setSegment(
                0,
                self.t.dataGen(0, 0, 'static', 1, [f], 1, 9, v, [self.pwr],
                               [0], False, False))
            self.measure()

            self.n += 1
        except Exception as e:
            pass  # print(msg, '\n', str(e)) # the command was probably 'start'

    def modify(self, newval):
        """Compare newval to setpoint. If within tolerance, move on to the next frequency.
        If not, try a new amplitude"""
        v = (newval - self.setpoint) / self.setpoint
        if abs(v) < self.tol:  # store value
            self.vs[self.i] = self.v
            self.i += 1
            if self.i == self.nfreqs:
                self.status = 'finished'
                self.plot()
        else:  # try new amplitude
            print(self.fs[self.i], v, -0.4 * v)
            self.v -= 0.4 * v
            if self.v < 0 or self.v > 1:
                self.v = 0.8

    def measure(self):
        """Request a measurement from the DAQ"""
        time.sleep(self.sleep)
        self.dxs.add_message(TCPENUM['Run sequence'],
                             'run the sequence\n' + '0' * 1600)
        time.sleep(self.sleep)
        # self.s.add_message(self.n, 'measure') # tells DAQ to add the measurement to the next message
        # self.s.add_message(self.n, 'readout') # reads the measurement

    def restart(self):
        self.i = 0
        self.status = 'checking'
        self.measure()

    def check(self, i=0):
        try:
            self.status = 'finished'
            self.t.setSegment(
                0,
                self.t.dataGen(0, 0, 'static', 1, [self.fset], 1, 9, 220,
                               [self.pwr], [0], False, False))
            self.measure()
            time.sleep(self.sleep)
            self.t.setSegment(
                0,
                self.t.dataGen(0, 0, 'static', 1, [self.fs[i]], 1, 9,
                               self.vs[i], [self.pwr], [0], False, False))
            self.measure()
        except IndexError as e:
            print(e)

    def plot(self):
        plt.figure()
        plt.plot(self.fs, self.vs)
        plt.xlabel('Frequency (MHz)')
        plt.ylabel('RF amplitude to flatten (mV)')
        plt.show()
コード例 #7
0
class normaliser:
    """Class to iteratively normalise an array of trap intensities using a CCD.
    awgparam:     str path to file to load awg segment data from
    image_dir:    str directory to save images in
    cam_roi:      list roi in pixel coordinates: [xmin,ymin,xmax,ymax]
    freq_amp_max: [CH0,CH1] cap the fractional optical power to avoid saturation
     """
    def __init__(
            self,
            awgparam='Z:/Tweezer/Experimental/AOD/2D AOD/Array normalisation/6x1array.txt',
            image_dir='Z:/Tweezer/Experimental/AOD/2D AOD/Array normalisation/Normalised',
            cam_roi=None,
            fit_roi_size=50,
            freq_amp_max=[1, 1]):
        ### set up AWG
        self.awg = AWG([0, 1], sample_rate=int(1024e6))
        fdir = 'Z:/Tweezer/Experimental/Setup and characterisation/Settings and calibrations/tweezer calibrations/AWG calibrations'
        self.awg.setCalibration(0,
                                fdir + '/814_H_calFile_17.02.2022.txt',
                                freqs=np.linspace(85, 110, 100),
                                powers=np.linspace(0, 1, 200))
        self.awg.setCalibration(1,
                                fdir + '/814_V_calFile_17.02.2022.txt',
                                freqs=np.linspace(85, 115, 100),
                                powers=np.linspace(0, 1, 200))
        self.awg.load(awgparam)
        self.awg.param_file = awgparam
        self.awg.setTrigger(0)  # 0 software, 1 ext0
        seg = self.awg.filedata["segments"]["segment_0"]
        self.f0 = eval(seg["channel_0"]["freqs_input_[MHz]"])
        self.f1 = eval(seg["channel_1"]["freqs_input_[MHz]"])
        self.ncols = len(self.f0)
        self.nrows = len(self.f1)
        self.a0 = np.array(eval(seg["channel_0"]["freq_amp"]), dtype=float)
        self.a1 = np.array(eval(seg["channel_1"]["freq_amp"]), dtype=float)
        self.ulim = freq_amp_max
        self.amp = int(seg["channel_0"]["tot_amp_[mV]"])

        #### set up camera
        self.cam = Camera(exposure=7, gain=1, roi=cam_roi)
        self.awg.start()
        time.sleep(0.5)
        self.cam.auto_gain_exposure()
        self.cam.update_exposure(self.cam.exposure * 0.6)  # saturating is bad

        #### image handler saves images
        self.imhand = ImageHandler(image_dir=image_dir,
                                   measure_params={
                                       'rows': self.nrows,
                                       'columns': self.ncols,
                                       'AWGparam_file': awgparam
                                   })
        self.imhand.create_dirs()

        #### fitr extracts trap positions and intensities from an image
        self.fitr = imageArray(dims=(self.ncols, self.nrows),
                               roi_size=fit_roi_size,
                               fitmode='sum')
        self.fitr.setRef(self.get_image(-1, -1, auto_exposure=False))

    def process(self, arr):
        self.fitr._imvals = arr
        self.fitr.fitImage()
        return self.fitr.getScaleFactors()

    def get_image(self,
                  repetition,
                  iteration=0,
                  sleep=0.3,
                  auto_exposure=False):
        """Take and save an image and a background image"""
        self.awg.start()  # show array
        time.sleep(sleep)
        if auto_exposure:
            self.cam.auto_gain_exposure(
            )  # adjust exposure to avoid saturation
        image = self.cam.take_image()
        self.awg.stop()  # awg off gives background image
        time.sleep(sleep)
        bgnd = self.cam.take_image()
        image.add_background(bgnd)
        array = image.get_bgnd_corrected_array()
        image.add_property('intensity_correction_iteration', iteration)
        image.add_property('rep', repetition)
        self.imhand.save(image)
        return array

    def get_images(self, reps=100, iteration=0, sleep=0.3):
        """Take images in a loop"""
        ave_im = np.zeros(self.cam.acquire().shape)
        self.awg.stop()  # awg might crash if it's started twice
        time.sleep(sleep)
        for i in range(reps):
            ave_im += self.get_image(i, iteration, sleep)
        return ave_im / reps

    def normalise(self, num_ims=24, num_ave=3, precision=0.005, max_iter=7):
        """Take images and then produce corrections factors until desired precision
        or max iterations are reached.
        num_ims:     int number of images to take for each iteration of normalisation
        num_ave:     int number of sets to split the images into to take averages
        max_iter:    int stop the normalisation after this many iterations
        precision:   float stop the normalisation when stdv/mean is this value"""
        base_dir = self.imhand.image_dir
        history = [[1, self.a0, self.a1]]
        for i in range(max_iter):
            # take images and calculate correction factors
            self.imhand.image_dir = os.path.join(base_dir,
                                                 'Iteration' + str(i))
            self.imhand.create_dirs()
            c0 = np.zeros(self.ncols)
            c1 = np.zeros(self.nrows)
            for j in range(num_ave):
                ave_im = self.get_images(round(num_ims / num_ave), iteration=i)
                c = self.process(ave_im)
                c0 += c[1]
                c1 += c[0]
            # take new scale factors but don't let them go above the original
            self.a0 = limit(self.a0 * c0 / num_ave, ulim=self.ulim[0])
            self.a1 = limit(self.a1 * c1 / num_ave, ulim=self.ulim[1])
            self.awg.arrayGen(self.ncols,
                              self.nrows,
                              0,
                              freqs=[self.f0, self.f1],
                              amps=[self.a0, self.a1],
                              AmV=self.amp,
                              duration=1,
                              freqAdjust=True,
                              ampAdjust=True,
                              phaseAdjust=True)
            c = self.fitr.df['I0']
            if any([I0 < 0 for I0 in c]):
                print('\nCamera saturated, aborting optimisation...')
                return history
            pack = [c.std() / c.mean(), self.a0, self.a1]
            history.append(pack)
            print(
                i, *[
                    x + str(y) for x, y in zip(
                        ['\n Relative Error:  ', '\nCH1: ', '\nCH2: '], pack)
                ])
            if pack[0] < precision:
                break
        # find min relative error and set values
        h = history[np.argmin([vals[0] for vals in history])]
        self.awg.arrayGen(self.ncols,
                          self.nrows,
                          0,
                          freqs=[self.f0, self.f1],
                          amps=[h[1], h[2]],
                          AmV=self.amp,
                          duration=1,
                          freqAdjust=True,
                          ampAdjust=True,
                          phaseAdjust=True)
        self.awg.filedata = eval(str(self.awg.filedata))
        self.awg.saveData(
            os.path.splitext(self.awg.param_file)[0] + '_normalised.txt')
        return history