remove more coding cookies
mainly from frappy_psi Change-Id: I192811459aebe97f3076888cd31a308a51e6aa49
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# -*- coding: utf-8 -*-
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# *****************************************************************************
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#
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# This program is free software; you can redistribute it and/or modify it under
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@ -1,5 +1,3 @@
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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# *****************************************************************************
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# This program is free software; you can redistribute it and/or modify it under
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# the terms of the GNU General Public License as published by the Free Software
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@ -1,5 +1,3 @@
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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# *****************************************************************************
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# This program is free software; you can redistribute it and/or modify it under
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# the terms of the GNU General Public License as published by the Free Software
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@ -1,5 +1,3 @@
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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# *****************************************************************************
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# This program is free software; you can redistribute it and/or modify it under
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# the terms of the GNU General Public License as published by the Free Software
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@ -1,5 +1,3 @@
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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# *****************************************************************************
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# This program is free software; you can redistribute it and/or modify it under
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# the terms of the GNU General Public License as published by the Free Software
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@ -1,294 +1,293 @@
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# -*- coding: utf-8 -*-
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"""
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Created on Tue Nov 26 15:42:43 2019
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@author: tartarotti_d-adm
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"""
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import numpy as np
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import ctypes as ct
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import time
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from numpy import sqrt, arctan2, sin, cos
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#from pylab import *
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from scipy import signal
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#ADQAPI = ct.cdll.LoadLibrary("ADQAPI.dll")
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ADQAPI = ct.cdll.LoadLibrary("libadq.so.0")
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#For different trigger modes
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SW_TRIG = 1
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EXT_TRIG_1 = 2 #This external trigger does not work if the level of the trigger is very close to 0.5V. Now we have it close to 3V, and it works
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EXT_TRIG_2 = 7
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EXT_TRIG_3 = 8
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LVL_TRIG = 3
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INT_TRIG = 4
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LVL_FALLING = 0
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LVL_RISING = 1
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#samples_per_record=16384
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ADQ_TRANSFER_MODE_NORMAL = 0x00
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ADQ_CHANNELS_MASK = 0x3
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#f_LO = 40
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def butter_lowpass(cutoff, sr, order=5):
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nyq = 0.5 * sr
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normal_cutoff = cutoff / nyq
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b, a = signal.butter(order, normal_cutoff, btype = 'low', analog = False)
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return b, a
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class Adq(object):
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max_number_of_channels = 2
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samp_freq = 2
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#ndecimate = 50 # decimation ratio (2GHz / 40 MHz)
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ndecimate = 50
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def __init__(self, number_of_records, samples_per_record, bw_cutoff):
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self.number_of_records = number_of_records
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self.samples_per_record = samples_per_record
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self.bw_cutoff = bw_cutoff
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ADQAPI.ADQAPI_GetRevision()
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# Manually set return type from some ADQAPI functions
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ADQAPI.CreateADQControlUnit.restype = ct.c_void_p
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ADQAPI.ADQ_GetRevision.restype = ct.c_void_p
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ADQAPI.ADQ_GetPtrStream.restype = ct.POINTER(ct.c_int16)
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ADQAPI.ADQControlUnit_FindDevices.argtypes = [ct.c_void_p]
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# Create ADQControlUnit
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self.adq_cu = ct.c_void_p(ADQAPI.CreateADQControlUnit())
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ADQAPI.ADQControlUnit_EnableErrorTrace(self.adq_cu, 3, '.')
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self.adq_num = 1
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# Find ADQ devices
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ADQAPI.ADQControlUnit_FindDevices(self.adq_cu)
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n_of_ADQ = ADQAPI.ADQControlUnit_NofADQ(self.adq_cu)
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if n_of_ADQ != 1:
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raise ValueError('number of ADQs must be 1, not %d' % n_of_ADQ)
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rev = ADQAPI.ADQ_GetRevision(self.adq_cu, self.adq_num)
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revision = ct.cast(rev,ct.POINTER(ct.c_int))
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print('\nConnected to ADQ #1')
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# Print revision information
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print('FPGA Revision: {}'.format(revision[0]))
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if (revision[1]):
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print('Local copy')
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else :
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print('SVN Managed')
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if (revision[2]):
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print('Mixed Revision')
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else :
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print('SVN Updated')
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print('')
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ADQ_CLOCK_INT_INTREF = 0 #internal clock source
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ADQ_CLOCK_EXT_REF = 1 #internal clock source, external reference
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ADQ_CLOCK_EXT_CLOCK = 2 #External clock source
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ADQAPI.ADQ_SetClockSource(self.adq_cu, self.adq_num, ADQ_CLOCK_EXT_REF);
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##########################
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# Test pattern
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#ADQAPI.ADQ_SetTestPatternMode(self.adq_cu, self.adq_num, 4)
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##########################
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# Sample skip
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#ADQAPI.ADQ_SetSampleSkip(self.adq_cu, self.adq_num, 1)
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##########################
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# Set trig mode
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self.trigger = EXT_TRIG_1
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#trigger = LVL_TRIG
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success = ADQAPI.ADQ_SetTriggerMode(self.adq_cu, self.adq_num, self.trigger)
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if (success == 0):
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print('ADQ_SetTriggerMode failed.')
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if (self.trigger == LVL_TRIG):
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success = ADQAPI.ADQ_SetLvlTrigLevel(self.adq_cu, self.adq_num, -100)
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if (success == 0):
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print('ADQ_SetLvlTrigLevel failed.')
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success = ADQAPI.ADQ_SetTrigLevelResetValue(self.adq_cu, self.adq_num, 1000)
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if (success == 0):
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print('ADQ_SetTrigLevelResetValue failed.')
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success = ADQAPI.ADQ_SetLvlTrigChannel(self.adq_cu, self.adq_num, 1)
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if (success == 0):
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print('ADQ_SetLvlTrigChannel failed.')
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success = ADQAPI.ADQ_SetLvlTrigEdge(self.adq_cu, self.adq_num, LVL_RISING)
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if (success == 0):
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print('ADQ_SetLvlTrigEdge failed.')
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elif (self.trigger == EXT_TRIG_1) :
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success = ADQAPI.ADQ_SetExternTrigEdge(self.adq_cu, self.adq_num,2)
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if (success == 0):
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print('ADQ_SetLvlTrigEdge failed.')
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# success = ADQAPI.ADQ_SetTriggerThresholdVoltage(self.adq_cu, self.adq_num, trigger, ct.c_double(0.2))
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# if (success == 0):
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# print('SetTriggerThresholdVoltage failed.')
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print("CHANNEL:"+str(ct.c_int(ADQAPI.ADQ_GetLvlTrigChannel(self.adq_cu, self.adq_num))))
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self.setup_target_buffers()
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def setup_target_buffers(self):
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# Setup target buffers for data
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self.target_buffers=(ct.POINTER(ct.c_int16 * self.samples_per_record * self.number_of_records)
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* self.max_number_of_channels)()
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for bufp in self.target_buffers:
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bufp.contents = (ct.c_int16 * self.samples_per_record * self.number_of_records)()
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def deletecu(self):
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# Only disarm trigger after data is collected
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ADQAPI.ADQ_DisarmTrigger(self.adq_cu, self.adq_num)
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ADQAPI.ADQ_MultiRecordClose(self.adq_cu, self.adq_num);
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# Delete ADQControlunit
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ADQAPI.DeleteADQControlUnit(self.adq_cu)
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def start(self):
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"""start datat acquisition"""
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# samples_per_records = samples_per_record/number_of_records
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# Change number of pulses to be acquired acording to how many records are taken
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# Start acquisition
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ADQAPI.ADQ_MultiRecordSetup(self.adq_cu, self.adq_num,
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self.number_of_records,
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self.samples_per_record)
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ADQAPI.ADQ_DisarmTrigger(self.adq_cu, self.adq_num)
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ADQAPI.ADQ_ArmTrigger(self.adq_cu, self.adq_num)
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def getdata(self):
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"""wait for aquisition to be finished and get data"""
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#start = time.time()
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while(ADQAPI.ADQ_GetAcquiredAll(self.adq_cu,self.adq_num) == 0):
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time.sleep(0.001)
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#if (self.trigger == SW_TRIG):
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# ADQAPI.ADQ_SWTrig(self.adq_cu, self.adq_num)
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#mid = time.time()
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status = ADQAPI.ADQ_GetData(self.adq_cu, self.adq_num, self.target_buffers,
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self.samples_per_record * self.number_of_records, 2,
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0, self.number_of_records, ADQ_CHANNELS_MASK,
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0, self.samples_per_record, ADQ_TRANSFER_MODE_NORMAL);
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#print(time.time()-mid,mid-start)
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if not status:
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raise ValueError('no succesS from ADQ_GetDATA')
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# Now this is an array with all records, but the time is artificial
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data = []
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for ch in range(2):
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onedim = np.frombuffer(self.target_buffers[ch].contents, dtype=np.int16)
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data.append(onedim.reshape(self.number_of_records, self.samples_per_record) / float(2**14)) # 14 bits ADC
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return data
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def acquire(self):
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self.start()
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return self.getdata()
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'''
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def average(self, data):
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#Average over records
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return [data[ch].sum(axis=0) / self.number_of_records for ch in range(2)]
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def iq(self, channel, f_LO):
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newx = np.linspace(0, self.samples_per_record /2, self.samples_per_record)
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s0 = channel /((2**16)/2)*0.5*np.exp(1j*2*np.pi*f_LO/(1e3)*newx)
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I0 = s0.real
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Q0 = s0.imag
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return I0, Q0
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def fitting(self, data, f_LO, ti, tf):
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# As long as data[0] is the pulse
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si = 2*ti #Those are for fitting the pulse
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sf = 2*tf
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phase = np.zeros(self.number_of_records)
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amplitude = np.zeros(self.number_of_records)
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offset = np.zeros(self.number_of_records)
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for i in range(self.number_of_records):
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phase[i], amplitude[i] = sineW(data[0][i][si:sf],f_LO*1e-9,ti,tf)
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offset[i] = np.average(data[0][i][si:sf])
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return phase, amplitude, offset
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def waveIQ(self, channel,ti,f_LO):
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#channel is not the sample data
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t = np.linspace(0, self.samples_per_record /2, self.samples_per_record + 1)[:-1]
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si = 2*ti # Again that is where the wave pulse starts
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cwi = np.zeros((self.number_of_records,self.samples_per_record))
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cwq = np.zeros((self.number_of_records,self.samples_per_record))
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iq = np.zeros((self.number_of_records,self.samples_per_record))
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q = np.zeros((self.number_of_records,self.samples_per_record))
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for i in range(self.number_of_records):
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cwi[i] = np.zeros(self.samples_per_record)
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cwq[i] = np.zeros(self.samples_per_record)
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cwi[i] = amplitude[i]*sin(t[si:]*f_LO*1e-9*2*np.pi+phase[i]*np.pi/180)+bias[i]
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cwq[i] = amplitude[i]*sin(t[si:]*f_LO*1e-9*(2*np.pi+(phase[i]+90)*np.pi/180))+bias[i]
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iq[i] = channel[i]*cwi[i]
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q[i] = channel[i]*cwq[i]
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return iq,q
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'''
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def sinW(self,sig,freq,ti,tf):
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# sig: signal array
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# freq
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# ti, tf: initial and end time
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si = int(ti * self.samp_freq)
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nperiods = freq * (tf - ti)
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n = int(round(max(2, int(nperiods)) / nperiods * (tf-ti) * self.samp_freq))
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self.nperiods = n
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t = np.arange(si, len(sig)) / self.samp_freq
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t = t[:n]
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self.pulselen = n / self.samp_freq
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sig = sig[si:si+n]
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a = 2*np.sum(sig*np.cos(2*np.pi*freq*t))/len(sig)
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b = 2*np.sum(sig*np.sin(2*np.pi*freq*t))/len(sig)
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return a, b
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def mix(self, sigin, sigout, freq, ti, tf):
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# sigin, sigout: signal array, incomping, output
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# freq
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# ti, tf: initial and end time if sigin
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a, b = self.sinW(sigin, freq, ti, tf)
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phase = arctan2(a,b) * 180 / np.pi
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amp = sqrt(a**2 + b**2)
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a, b = a/amp, b/amp
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#si = int(ti * self.samp_freq)
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t = np.arange(len(sigout)) / self.samp_freq
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wave1 = sigout * (a * cos(2*np.pi*freq*t) + b * sin(2*np.pi*freq*t))
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wave2 = sigout * (a * sin(2*np.pi*freq*t) - b * cos(2*np.pi*freq*t))
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return wave1, wave2
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def averageiq(self, data, freq, ti, tf):
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'''Average over records'''
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iorq = np.array([self.mix(data[0][i], data[1][i], freq, ti, tf) for i in range(self.number_of_records)])
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# iorq = np.array([self.mix(data[0][:], data[1][:], freq, ti, tf)])
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return iorq.sum(axis=0) / self.number_of_records
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def filtro(self, iorq, cutoff):
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b, a = butter_lowpass(cutoff, self.samp_freq*1e9)
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#ifi = np.array(signal.filtfilt(b,a,iorq[0]))
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#qf = np.array(signal.filtfilt(b,a,iorq[1]))
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iqf = [signal.filtfilt(b,a,iorq[i]) for i in np.arange(len(iorq))]
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return iqf
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def box(self, iorq, ti, tf):
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si = int(self.samp_freq * ti)
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sf = int(self.samp_freq * tf)
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bxa = [sum(iorq[i][si:sf])/(sf-si) for i in np.arange(len(iorq))]
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return bxa
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def gates_and_curves(self, data, freq, pulse, roi):
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"""return iq values of rois and prepare plottable curves for iq"""
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times = []
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times.append(('aviq', time.time()))
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iq = self.averageiq(data,freq*1e-9,*pulse)
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times.append(('filtro', time.time()))
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iqf = self.filtro(iq,self.bw_cutoff)
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m = len(iqf[0]) // self.ndecimate
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times.append(('iqdec', time.time()))
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iqd = np.average(np.resize(iqf, (2, m, self.ndecimate)), axis=2)
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t_axis = np.arange(m) * self.ndecimate / self.samp_freq
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pulsig = np.abs(data[0][0])
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times.append(('pulsig', time.time()))
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pulsig = np.average(np.resize(pulsig, (m, self.ndecimate)), axis=1)
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self.curves = (t_axis, iqd[0], iqd[1], pulsig)
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#print(times)
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return [self.box(iqf,*r) for r in roi]
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"""
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Created on Tue Nov 26 15:42:43 2019
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@author: tartarotti_d-adm
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"""
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import numpy as np
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import ctypes as ct
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import time
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from numpy import sqrt, arctan2, sin, cos
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#from pylab import *
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from scipy import signal
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#ADQAPI = ct.cdll.LoadLibrary("ADQAPI.dll")
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ADQAPI = ct.cdll.LoadLibrary("libadq.so.0")
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#For different trigger modes
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SW_TRIG = 1
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EXT_TRIG_1 = 2 #This external trigger does not work if the level of the trigger is very close to 0.5V. Now we have it close to 3V, and it works
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EXT_TRIG_2 = 7
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EXT_TRIG_3 = 8
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LVL_TRIG = 3
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INT_TRIG = 4
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LVL_FALLING = 0
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LVL_RISING = 1
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#samples_per_record=16384
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ADQ_TRANSFER_MODE_NORMAL = 0x00
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ADQ_CHANNELS_MASK = 0x3
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#f_LO = 40
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def butter_lowpass(cutoff, sr, order=5):
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nyq = 0.5 * sr
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normal_cutoff = cutoff / nyq
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b, a = signal.butter(order, normal_cutoff, btype = 'low', analog = False)
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return b, a
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class Adq(object):
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max_number_of_channels = 2
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samp_freq = 2
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#ndecimate = 50 # decimation ratio (2GHz / 40 MHz)
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ndecimate = 50
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def __init__(self, number_of_records, samples_per_record, bw_cutoff):
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self.number_of_records = number_of_records
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self.samples_per_record = samples_per_record
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self.bw_cutoff = bw_cutoff
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ADQAPI.ADQAPI_GetRevision()
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# Manually set return type from some ADQAPI functions
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ADQAPI.CreateADQControlUnit.restype = ct.c_void_p
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ADQAPI.ADQ_GetRevision.restype = ct.c_void_p
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ADQAPI.ADQ_GetPtrStream.restype = ct.POINTER(ct.c_int16)
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ADQAPI.ADQControlUnit_FindDevices.argtypes = [ct.c_void_p]
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# Create ADQControlUnit
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self.adq_cu = ct.c_void_p(ADQAPI.CreateADQControlUnit())
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ADQAPI.ADQControlUnit_EnableErrorTrace(self.adq_cu, 3, '.')
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self.adq_num = 1
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# Find ADQ devices
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ADQAPI.ADQControlUnit_FindDevices(self.adq_cu)
|
||||
n_of_ADQ = ADQAPI.ADQControlUnit_NofADQ(self.adq_cu)
|
||||
if n_of_ADQ != 1:
|
||||
raise ValueError('number of ADQs must be 1, not %d' % n_of_ADQ)
|
||||
|
||||
rev = ADQAPI.ADQ_GetRevision(self.adq_cu, self.adq_num)
|
||||
revision = ct.cast(rev,ct.POINTER(ct.c_int))
|
||||
print('\nConnected to ADQ #1')
|
||||
# Print revision information
|
||||
print('FPGA Revision: {}'.format(revision[0]))
|
||||
if (revision[1]):
|
||||
print('Local copy')
|
||||
else :
|
||||
print('SVN Managed')
|
||||
if (revision[2]):
|
||||
print('Mixed Revision')
|
||||
else :
|
||||
print('SVN Updated')
|
||||
print('')
|
||||
|
||||
ADQ_CLOCK_INT_INTREF = 0 #internal clock source
|
||||
ADQ_CLOCK_EXT_REF = 1 #internal clock source, external reference
|
||||
ADQ_CLOCK_EXT_CLOCK = 2 #External clock source
|
||||
ADQAPI.ADQ_SetClockSource(self.adq_cu, self.adq_num, ADQ_CLOCK_EXT_REF);
|
||||
|
||||
##########################
|
||||
# Test pattern
|
||||
#ADQAPI.ADQ_SetTestPatternMode(self.adq_cu, self.adq_num, 4)
|
||||
##########################
|
||||
# Sample skip
|
||||
#ADQAPI.ADQ_SetSampleSkip(self.adq_cu, self.adq_num, 1)
|
||||
##########################
|
||||
|
||||
# Set trig mode
|
||||
self.trigger = EXT_TRIG_1
|
||||
#trigger = LVL_TRIG
|
||||
success = ADQAPI.ADQ_SetTriggerMode(self.adq_cu, self.adq_num, self.trigger)
|
||||
if (success == 0):
|
||||
print('ADQ_SetTriggerMode failed.')
|
||||
if (self.trigger == LVL_TRIG):
|
||||
success = ADQAPI.ADQ_SetLvlTrigLevel(self.adq_cu, self.adq_num, -100)
|
||||
if (success == 0):
|
||||
print('ADQ_SetLvlTrigLevel failed.')
|
||||
success = ADQAPI.ADQ_SetTrigLevelResetValue(self.adq_cu, self.adq_num, 1000)
|
||||
if (success == 0):
|
||||
print('ADQ_SetTrigLevelResetValue failed.')
|
||||
success = ADQAPI.ADQ_SetLvlTrigChannel(self.adq_cu, self.adq_num, 1)
|
||||
if (success == 0):
|
||||
print('ADQ_SetLvlTrigChannel failed.')
|
||||
success = ADQAPI.ADQ_SetLvlTrigEdge(self.adq_cu, self.adq_num, LVL_RISING)
|
||||
if (success == 0):
|
||||
print('ADQ_SetLvlTrigEdge failed.')
|
||||
elif (self.trigger == EXT_TRIG_1) :
|
||||
success = ADQAPI.ADQ_SetExternTrigEdge(self.adq_cu, self.adq_num,2)
|
||||
if (success == 0):
|
||||
print('ADQ_SetLvlTrigEdge failed.')
|
||||
# success = ADQAPI.ADQ_SetTriggerThresholdVoltage(self.adq_cu, self.adq_num, trigger, ct.c_double(0.2))
|
||||
# if (success == 0):
|
||||
# print('SetTriggerThresholdVoltage failed.')
|
||||
print("CHANNEL:"+str(ct.c_int(ADQAPI.ADQ_GetLvlTrigChannel(self.adq_cu, self.adq_num))))
|
||||
self.setup_target_buffers()
|
||||
|
||||
def setup_target_buffers(self):
|
||||
# Setup target buffers for data
|
||||
self.target_buffers=(ct.POINTER(ct.c_int16 * self.samples_per_record * self.number_of_records)
|
||||
* self.max_number_of_channels)()
|
||||
for bufp in self.target_buffers:
|
||||
bufp.contents = (ct.c_int16 * self.samples_per_record * self.number_of_records)()
|
||||
|
||||
def deletecu(self):
|
||||
# Only disarm trigger after data is collected
|
||||
ADQAPI.ADQ_DisarmTrigger(self.adq_cu, self.adq_num)
|
||||
ADQAPI.ADQ_MultiRecordClose(self.adq_cu, self.adq_num);
|
||||
# Delete ADQControlunit
|
||||
ADQAPI.DeleteADQControlUnit(self.adq_cu)
|
||||
|
||||
def start(self):
|
||||
"""start datat acquisition"""
|
||||
# samples_per_records = samples_per_record/number_of_records
|
||||
# Change number of pulses to be acquired acording to how many records are taken
|
||||
# Start acquisition
|
||||
ADQAPI.ADQ_MultiRecordSetup(self.adq_cu, self.adq_num,
|
||||
self.number_of_records,
|
||||
self.samples_per_record)
|
||||
|
||||
ADQAPI.ADQ_DisarmTrigger(self.adq_cu, self.adq_num)
|
||||
ADQAPI.ADQ_ArmTrigger(self.adq_cu, self.adq_num)
|
||||
|
||||
def getdata(self):
|
||||
"""wait for aquisition to be finished and get data"""
|
||||
#start = time.time()
|
||||
while(ADQAPI.ADQ_GetAcquiredAll(self.adq_cu,self.adq_num) == 0):
|
||||
time.sleep(0.001)
|
||||
#if (self.trigger == SW_TRIG):
|
||||
# ADQAPI.ADQ_SWTrig(self.adq_cu, self.adq_num)
|
||||
#mid = time.time()
|
||||
status = ADQAPI.ADQ_GetData(self.adq_cu, self.adq_num, self.target_buffers,
|
||||
self.samples_per_record * self.number_of_records, 2,
|
||||
0, self.number_of_records, ADQ_CHANNELS_MASK,
|
||||
0, self.samples_per_record, ADQ_TRANSFER_MODE_NORMAL);
|
||||
#print(time.time()-mid,mid-start)
|
||||
if not status:
|
||||
raise ValueError('no succesS from ADQ_GetDATA')
|
||||
# Now this is an array with all records, but the time is artificial
|
||||
data = []
|
||||
for ch in range(2):
|
||||
onedim = np.frombuffer(self.target_buffers[ch].contents, dtype=np.int16)
|
||||
data.append(onedim.reshape(self.number_of_records, self.samples_per_record) / float(2**14)) # 14 bits ADC
|
||||
return data
|
||||
|
||||
def acquire(self):
|
||||
self.start()
|
||||
return self.getdata()
|
||||
'''
|
||||
def average(self, data):
|
||||
#Average over records
|
||||
return [data[ch].sum(axis=0) / self.number_of_records for ch in range(2)]
|
||||
|
||||
def iq(self, channel, f_LO):
|
||||
newx = np.linspace(0, self.samples_per_record /2, self.samples_per_record)
|
||||
s0 = channel /((2**16)/2)*0.5*np.exp(1j*2*np.pi*f_LO/(1e3)*newx)
|
||||
I0 = s0.real
|
||||
Q0 = s0.imag
|
||||
return I0, Q0
|
||||
|
||||
|
||||
def fitting(self, data, f_LO, ti, tf):
|
||||
# As long as data[0] is the pulse
|
||||
si = 2*ti #Those are for fitting the pulse
|
||||
sf = 2*tf
|
||||
phase = np.zeros(self.number_of_records)
|
||||
amplitude = np.zeros(self.number_of_records)
|
||||
offset = np.zeros(self.number_of_records)
|
||||
|
||||
for i in range(self.number_of_records):
|
||||
phase[i], amplitude[i] = sineW(data[0][i][si:sf],f_LO*1e-9,ti,tf)
|
||||
offset[i] = np.average(data[0][i][si:sf])
|
||||
return phase, amplitude, offset
|
||||
|
||||
|
||||
def waveIQ(self, channel,ti,f_LO):
|
||||
#channel is not the sample data
|
||||
t = np.linspace(0, self.samples_per_record /2, self.samples_per_record + 1)[:-1]
|
||||
si = 2*ti # Again that is where the wave pulse starts
|
||||
cwi = np.zeros((self.number_of_records,self.samples_per_record))
|
||||
cwq = np.zeros((self.number_of_records,self.samples_per_record))
|
||||
iq = np.zeros((self.number_of_records,self.samples_per_record))
|
||||
q = np.zeros((self.number_of_records,self.samples_per_record))
|
||||
for i in range(self.number_of_records):
|
||||
cwi[i] = np.zeros(self.samples_per_record)
|
||||
cwq[i] = np.zeros(self.samples_per_record)
|
||||
cwi[i] = amplitude[i]*sin(t[si:]*f_LO*1e-9*2*np.pi+phase[i]*np.pi/180)+bias[i]
|
||||
cwq[i] = amplitude[i]*sin(t[si:]*f_LO*1e-9*(2*np.pi+(phase[i]+90)*np.pi/180))+bias[i]
|
||||
|
||||
iq[i] = channel[i]*cwi[i]
|
||||
q[i] = channel[i]*cwq[i]
|
||||
|
||||
return iq,q
|
||||
'''
|
||||
def sinW(self,sig,freq,ti,tf):
|
||||
# sig: signal array
|
||||
# freq
|
||||
# ti, tf: initial and end time
|
||||
si = int(ti * self.samp_freq)
|
||||
nperiods = freq * (tf - ti)
|
||||
n = int(round(max(2, int(nperiods)) / nperiods * (tf-ti) * self.samp_freq))
|
||||
self.nperiods = n
|
||||
t = np.arange(si, len(sig)) / self.samp_freq
|
||||
t = t[:n]
|
||||
self.pulselen = n / self.samp_freq
|
||||
sig = sig[si:si+n]
|
||||
a = 2*np.sum(sig*np.cos(2*np.pi*freq*t))/len(sig)
|
||||
b = 2*np.sum(sig*np.sin(2*np.pi*freq*t))/len(sig)
|
||||
return a, b
|
||||
|
||||
def mix(self, sigin, sigout, freq, ti, tf):
|
||||
# sigin, sigout: signal array, incomping, output
|
||||
# freq
|
||||
# ti, tf: initial and end time if sigin
|
||||
a, b = self.sinW(sigin, freq, ti, tf)
|
||||
phase = arctan2(a,b) * 180 / np.pi
|
||||
amp = sqrt(a**2 + b**2)
|
||||
a, b = a/amp, b/amp
|
||||
#si = int(ti * self.samp_freq)
|
||||
t = np.arange(len(sigout)) / self.samp_freq
|
||||
wave1 = sigout * (a * cos(2*np.pi*freq*t) + b * sin(2*np.pi*freq*t))
|
||||
wave2 = sigout * (a * sin(2*np.pi*freq*t) - b * cos(2*np.pi*freq*t))
|
||||
return wave1, wave2
|
||||
|
||||
def averageiq(self, data, freq, ti, tf):
|
||||
'''Average over records'''
|
||||
iorq = np.array([self.mix(data[0][i], data[1][i], freq, ti, tf) for i in range(self.number_of_records)])
|
||||
# iorq = np.array([self.mix(data[0][:], data[1][:], freq, ti, tf)])
|
||||
return iorq.sum(axis=0) / self.number_of_records
|
||||
|
||||
def filtro(self, iorq, cutoff):
|
||||
b, a = butter_lowpass(cutoff, self.samp_freq*1e9)
|
||||
|
||||
#ifi = np.array(signal.filtfilt(b,a,iorq[0]))
|
||||
#qf = np.array(signal.filtfilt(b,a,iorq[1]))
|
||||
iqf = [signal.filtfilt(b,a,iorq[i]) for i in np.arange(len(iorq))]
|
||||
|
||||
return iqf
|
||||
|
||||
def box(self, iorq, ti, tf):
|
||||
si = int(self.samp_freq * ti)
|
||||
sf = int(self.samp_freq * tf)
|
||||
bxa = [sum(iorq[i][si:sf])/(sf-si) for i in np.arange(len(iorq))]
|
||||
return bxa
|
||||
|
||||
def gates_and_curves(self, data, freq, pulse, roi):
|
||||
"""return iq values of rois and prepare plottable curves for iq"""
|
||||
times = []
|
||||
times.append(('aviq', time.time()))
|
||||
iq = self.averageiq(data,freq*1e-9,*pulse)
|
||||
times.append(('filtro', time.time()))
|
||||
iqf = self.filtro(iq,self.bw_cutoff)
|
||||
m = len(iqf[0]) // self.ndecimate
|
||||
times.append(('iqdec', time.time()))
|
||||
iqd = np.average(np.resize(iqf, (2, m, self.ndecimate)), axis=2)
|
||||
t_axis = np.arange(m) * self.ndecimate / self.samp_freq
|
||||
pulsig = np.abs(data[0][0])
|
||||
times.append(('pulsig', time.time()))
|
||||
pulsig = np.average(np.resize(pulsig, (m, self.ndecimate)), axis=1)
|
||||
self.curves = (t_axis, iqd[0], iqd[1], pulsig)
|
||||
#print(times)
|
||||
return [self.box(iqf,*r) for r in roi]
|
||||
|
||||
|
||||
@ -1,4 +1,3 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
# *****************************************************************************
|
||||
# This program is free software; you can redistribute it and/or modify it under
|
||||
# the terms of the GNU General Public License as published by the Free Software
|
||||
|
||||
@ -1,4 +1,3 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
# *****************************************************************************
|
||||
#
|
||||
# This program is free software; you can redistribute it and/or modify it under
|
||||
|
||||
@ -1,5 +1,3 @@
|
||||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
# *****************************************************************************
|
||||
# This program is free software; you can redistribute it and/or modify it under
|
||||
# the terms of the GNU General Public License as published by the Free Software
|
||||
|
||||
@ -1,4 +1,3 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
# *****************************************************************************
|
||||
# This program is free software; you can redistribute it and/or modify it under
|
||||
# the terms of the GNU General Public License as published by the Free Software
|
||||
|
||||
@ -1,4 +1,3 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
# *****************************************************************************
|
||||
#
|
||||
# This program is free software; you can redistribute it and/or modify it under
|
||||
|
||||
@ -1,5 +1,3 @@
|
||||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
# *****************************************************************************
|
||||
# This program is free software; you can redistribute it and/or modify it under
|
||||
# the terms of the GNU General Public License as published by the Free Software
|
||||
|
||||
@ -1,102 +1,101 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
Created on Tue Feb 4 11:07:56 2020
|
||||
|
||||
@author: tartarotti_d-adm
|
||||
"""
|
||||
|
||||
import numpy as np
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
def rect(x1, x2, y1, y2):
|
||||
return np.array([[x1,x2,x2,x1,x1],[y1,y1,y2,y2,y1]])
|
||||
|
||||
NAN = float('nan')
|
||||
|
||||
def rects(intervals, y12):
|
||||
result = [rect(*intervals[0], *y12)]
|
||||
for x12 in intervals[1:]:
|
||||
result.append([[NAN],[NAN]])
|
||||
result.append(rect(*x12, *y12))
|
||||
return np.concatenate(result, axis=1)
|
||||
|
||||
class Plot:
|
||||
def __init__(self, maxy):
|
||||
self.lines = {}
|
||||
self.yaxis = ((-2 * maxy, maxy), (-maxy, 2 * maxy))
|
||||
self.first = True
|
||||
self.fig = None
|
||||
|
||||
def set_line(self, iax, name, data, fmt, **kwds):
|
||||
"""
|
||||
plot or update a line
|
||||
|
||||
when called with self.first = True: plot the line
|
||||
when called with self.first = False: update the line
|
||||
|
||||
iax: 0: left, 1: right yaxis
|
||||
name: the name of the line. used also as label for legend, if not starting with underscore
|
||||
data: data[0] and data[1] are used for x/y data respectively
|
||||
fmt, other keywords: forwarded to <axis>.plot
|
||||
"""
|
||||
# ax: 0: left, 1: right
|
||||
if self.first:
|
||||
if name.startswith('_'):
|
||||
label = '_nolegend_'
|
||||
else:
|
||||
label = name
|
||||
self.lines[name], = self.ax[iax].plot(data[0], data[1], fmt, label=label, **kwds)
|
||||
else:
|
||||
self.lines[name].set_data(data[0:2])
|
||||
|
||||
def close(self):
|
||||
if self.fig:
|
||||
plt.close(self.fig)
|
||||
self.fig = None
|
||||
self.first = True
|
||||
|
||||
def plot(self, curves, rois=None, average=None):
|
||||
boxes = rects(rois[1:], self.yaxis[0])
|
||||
pbox = rect(*rois[0], *self.yaxis[1])
|
||||
rbox = rect(*rois[1], *self.yaxis[0])
|
||||
|
||||
pshift = self.yaxis[0][1] * 0.5
|
||||
pulse = curves[3] - pshift
|
||||
# normalized to 0.8 * pshift:
|
||||
#pulse = (curves[3] / np.max(curves[3]))* pshift * 0.8 - pshift
|
||||
|
||||
try:
|
||||
if self.first:
|
||||
plt.ion()
|
||||
self.fig, axleft = plt.subplots(figsize=(15,7))
|
||||
plt.title("I/Q", fontsize=14)
|
||||
axleft.set_xlim(0, curves[0][-1])
|
||||
self.ax = [axleft, axleft.twinx()]
|
||||
self.ax[0].axhline(y=0, color='#cccccc') # show x-axis line
|
||||
self.ax[1].axhline(y=0, color='#cccccc')
|
||||
self.ax[0].set_ylim(*self.yaxis[0])
|
||||
self.ax[1].set_ylim(*self.yaxis[1])
|
||||
|
||||
self.set_line(0, "I", curves, 'b-') # using curves [0] and [1]
|
||||
self.set_line(0, "_Iaverage", average, 'b.')
|
||||
|
||||
self.set_line(0, "Ampl", (curves[0],np.sqrt(curves[1]**2+curves[2]**2)), '#808080')
|
||||
|
||||
self.set_line(1, "Q", (curves[0], curves[2]), 'g-')
|
||||
self.set_line(1, "_Qaverage", (average[0], average[2]), 'g.')
|
||||
|
||||
self.set_line(0, "pulse", (curves[0], pulse), 'c-')
|
||||
|
||||
self.set_line(0, "roi's", boxes, 'm-')
|
||||
self.set_line(1, "pulse reg", pbox, 'k-')
|
||||
self.set_line(0, "ctrl reg", rbox, 'r-')
|
||||
|
||||
if self.first:
|
||||
self.fig.legend(fontsize=12)
|
||||
plt.tight_layout()
|
||||
finally:
|
||||
self.first = False
|
||||
|
||||
plt.draw()
|
||||
self.fig.canvas.draw()
|
||||
self.fig.canvas.flush_events()
|
||||
"""
|
||||
Created on Tue Feb 4 11:07:56 2020
|
||||
|
||||
@author: tartarotti_d-adm
|
||||
"""
|
||||
|
||||
import numpy as np
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
def rect(x1, x2, y1, y2):
|
||||
return np.array([[x1,x2,x2,x1,x1],[y1,y1,y2,y2,y1]])
|
||||
|
||||
NAN = float('nan')
|
||||
|
||||
def rects(intervals, y12):
|
||||
result = [rect(*intervals[0], *y12)]
|
||||
for x12 in intervals[1:]:
|
||||
result.append([[NAN],[NAN]])
|
||||
result.append(rect(*x12, *y12))
|
||||
return np.concatenate(result, axis=1)
|
||||
|
||||
class Plot:
|
||||
def __init__(self, maxy):
|
||||
self.lines = {}
|
||||
self.yaxis = ((-2 * maxy, maxy), (-maxy, 2 * maxy))
|
||||
self.first = True
|
||||
self.fig = None
|
||||
|
||||
def set_line(self, iax, name, data, fmt, **kwds):
|
||||
"""
|
||||
plot or update a line
|
||||
|
||||
when called with self.first = True: plot the line
|
||||
when called with self.first = False: update the line
|
||||
|
||||
iax: 0: left, 1: right yaxis
|
||||
name: the name of the line. used also as label for legend, if not starting with underscore
|
||||
data: data[0] and data[1] are used for x/y data respectively
|
||||
fmt, other keywords: forwarded to <axis>.plot
|
||||
"""
|
||||
# ax: 0: left, 1: right
|
||||
if self.first:
|
||||
if name.startswith('_'):
|
||||
label = '_nolegend_'
|
||||
else:
|
||||
label = name
|
||||
self.lines[name], = self.ax[iax].plot(data[0], data[1], fmt, label=label, **kwds)
|
||||
else:
|
||||
self.lines[name].set_data(data[0:2])
|
||||
|
||||
def close(self):
|
||||
if self.fig:
|
||||
plt.close(self.fig)
|
||||
self.fig = None
|
||||
self.first = True
|
||||
|
||||
def plot(self, curves, rois=None, average=None):
|
||||
boxes = rects(rois[1:], self.yaxis[0])
|
||||
pbox = rect(*rois[0], *self.yaxis[1])
|
||||
rbox = rect(*rois[1], *self.yaxis[0])
|
||||
|
||||
pshift = self.yaxis[0][1] * 0.5
|
||||
pulse = curves[3] - pshift
|
||||
# normalized to 0.8 * pshift:
|
||||
#pulse = (curves[3] / np.max(curves[3]))* pshift * 0.8 - pshift
|
||||
|
||||
try:
|
||||
if self.first:
|
||||
plt.ion()
|
||||
self.fig, axleft = plt.subplots(figsize=(15,7))
|
||||
plt.title("I/Q", fontsize=14)
|
||||
axleft.set_xlim(0, curves[0][-1])
|
||||
self.ax = [axleft, axleft.twinx()]
|
||||
self.ax[0].axhline(y=0, color='#cccccc') # show x-axis line
|
||||
self.ax[1].axhline(y=0, color='#cccccc')
|
||||
self.ax[0].set_ylim(*self.yaxis[0])
|
||||
self.ax[1].set_ylim(*self.yaxis[1])
|
||||
|
||||
self.set_line(0, "I", curves, 'b-') # using curves [0] and [1]
|
||||
self.set_line(0, "_Iaverage", average, 'b.')
|
||||
|
||||
self.set_line(0, "Ampl", (curves[0],np.sqrt(curves[1]**2+curves[2]**2)), '#808080')
|
||||
|
||||
self.set_line(1, "Q", (curves[0], curves[2]), 'g-')
|
||||
self.set_line(1, "_Qaverage", (average[0], average[2]), 'g.')
|
||||
|
||||
self.set_line(0, "pulse", (curves[0], pulse), 'c-')
|
||||
|
||||
self.set_line(0, "roi's", boxes, 'm-')
|
||||
self.set_line(1, "pulse reg", pbox, 'k-')
|
||||
self.set_line(0, "ctrl reg", rbox, 'r-')
|
||||
|
||||
if self.first:
|
||||
self.fig.legend(fontsize=12)
|
||||
plt.tight_layout()
|
||||
finally:
|
||||
self.first = False
|
||||
|
||||
plt.draw()
|
||||
self.fig.canvas.draw()
|
||||
self.fig.canvas.flush_events()
|
||||
|
||||
@ -1,5 +1,3 @@
|
||||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
# *****************************************************************************
|
||||
# This program is free software; you can redistribute it and/or modify it under
|
||||
# the terms of the GNU General Public License as published by the Free Software
|
||||
|
||||
@ -1,5 +1,3 @@
|
||||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
# *****************************************************************************
|
||||
# This program is free software; you can redistribute it and/or modify it under
|
||||
# the terms of the GNU General Public License as published by the Free Software
|
||||
|
||||
@ -1,5 +1,3 @@
|
||||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
# *****************************************************************************
|
||||
# This program is free software; you can redistribute it and/or modify it under
|
||||
# the terms of the GNU General Public License as published by the Free Software
|
||||
|
||||
@ -1,5 +1,3 @@
|
||||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
# *****************************************************************************
|
||||
# This program is free software; you can redistribute it and/or modify it under
|
||||
# the terms of the GNU General Public License as published by the Free Software
|
||||
|
||||
@ -1,5 +1,3 @@
|
||||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
# *****************************************************************************
|
||||
# This program is free software; you can redistribute it and/or modify it under
|
||||
# the terms of the GNU General Public License as published by the Free Software
|
||||
|
||||
@ -1,4 +1,3 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
# *****************************************************************************
|
||||
#
|
||||
# This program is free software; you can redistribute it and/or modify it under
|
||||
|
||||
@ -1,4 +1,3 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
# *****************************************************************************
|
||||
#
|
||||
# This program is free software; you can redistribute it and/or modify it under
|
||||
|
||||
@ -1,5 +1,3 @@
|
||||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
# *****************************************************************************
|
||||
# This program is free software; you can redistribute it and/or modify it under
|
||||
# the terms of the GNU General Public License as published by the Free Software
|
||||
|
||||
@ -1,5 +1,3 @@
|
||||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
# *****************************************************************************
|
||||
# This program is free software; you can redistribute it and/or modify it under
|
||||
# the terms of the GNU General Public License as published by the Free Software
|
||||
|
||||
@ -1,4 +1,3 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
# *****************************************************************************
|
||||
#
|
||||
# This program is free software; you can redistribute it and/or modify it under
|
||||
|
||||
@ -1,5 +1,3 @@
|
||||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
# *****************************************************************************
|
||||
# This program is free software; you can redistribute it and/or modify it under
|
||||
# the terms of the GNU General Public License as published by the Free Software
|
||||
|
||||
@ -1,5 +1,3 @@
|
||||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
# *****************************************************************************
|
||||
# This program is free software; you can redistribute it and/or modify it under
|
||||
# the terms of the GNU General Public License as published by the Free Software
|
||||
|
||||
@ -1,4 +1,3 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
# *****************************************************************************
|
||||
#
|
||||
# This program is free software; you can redistribute it and/or modify it under
|
||||
|
||||
@ -1,4 +1,3 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
# *****************************************************************************
|
||||
# This program is free software; you can redistribute it and/or modify it under
|
||||
# the terms of the GNU General Public License as published by the Free Software
|
||||
@ -86,4 +85,4 @@ class Vector(Drivable, VectorRd):
|
||||
self.parameters['target'].datatype = TupleOf(*members)
|
||||
|
||||
def write_target(self, value):
|
||||
return tuple((c.write_target(v) for v, c in zip(value, self.components)))
|
||||
return tuple((c.write_target(v) for v, c in zip(value, self.components)))
|
||||
|
||||
@ -23,7 +23,7 @@ with open("sync_branches") as f:
|
||||
for line in f:
|
||||
if line.strip():
|
||||
info = line.split()
|
||||
if set(branches) & set(info[1:]) == set(branches):
|
||||
if set(branches) & set(info[1:3]) == set(branches):
|
||||
since_info.append(info[0])
|
||||
|
||||
gitlog = ['git', 'log', '--oneline']
|
||||
|
||||
@ -1,2 +1,2 @@
|
||||
2024-01-29 wip develop
|
||||
|
||||
2023-10-01 wip mlz # test wise
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user