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| { |
| "cells": [ |
| { |
| "cell_type": "markdown", |
| "metadata": { |
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| }, |
| "source": [ |
| "# On trigger signal acquisition\n", |
| "\n", |
| "## Description\n", |
| "\n", |
| "This example shows how to acquire 16k samples of signal on fast analog inputs.\n", |
| "Signal will be acquired when the internal trigger condition is meet.\n", |
| "Time length of the acquired signal depends on the time scale of a buffer\n", |
| "that can be set with a decimation factor.\n", |
| "\n", |
| "TODO: describe some calculations\n", |
| "\n", |
| "## Required hardware\n", |
| "\n", |
| "- Red Pitaya\n", |
| "- Signal (function) generator\n", |
| "\n", |
| "" |
| ] |
| }, |
| { |
| "cell_type": "markdown", |
| "metadata": { |
| "deletable": true, |
| "editable": true |
| }, |
| "source": [ |
| "The `rp` object is an instance of the `redpitaya` class.\n", |
| "When the object is initialized, the FPGA bitstream is loaded and\n", |
| "memory mapped FPGA registers are mapped into software.\n", |
| "Repeating FPGA bitstream loading will cause all registers to reset,\n", |
| "while mapping the memory space multiple times will cause segmentation faults.\n", |
| "So untill this issues are handled by the driver\n", |
| "a `redpitaya` instance should be created only once." |
| ] |
| }, |
| { |
| "cell_type": "code", |
| "execution_count": null, |
| "metadata": { |
| "collapsed": false, |
| "deletable": true, |
| "editable": true |
| }, |
| "outputs": [], |
| "source": [ |
| "from redpitaya import redpitaya\n", |
| "rp = redpitaya()" |
| ] |
| }, |
| { |
| "cell_type": "code", |
| "execution_count": null, |
| "metadata": { |
| "collapsed": false, |
| "deletable": true, |
| "editable": true |
| }, |
| "outputs": [], |
| "source": [ |
| "# generator configuration\n", |
| "#rp.GenReset()\n", |
| "#rp.GenFreq(0, 100000.0)\n", |
| "#rp.GenAmp(0, 1.0)\n", |
| "#rp.GenWaveform(0, rp.WAVEFORM_SINE)\n", |
| "#rp.GenOutEnable(0)" |
| ] |
| }, |
| { |
| "cell_type": "code", |
| "execution_count": null, |
| "metadata": { |
| "collapsed": false, |
| "deletable": true, |
| "editable": true |
| }, |
| "outputs": [], |
| "source": [ |
| "# acquisition configuration\n", |
| "size = rp.AcqGetBufSize()\n", |
| "print(size)\n", |
| "rp.AcqReset()\n", |
| "rp.AcqSetDecimationFactor(1)\n", |
| "rp.AcqSetTriggerLevel(0, -0.05)\n", |
| "#rp.AcqSetPostTriggerDelay(size//2) # place trigger in the middle of the buffer\n", |
| "#rp.AcqSetPostTriggerDelay(size//2)\n", |
| "rp.AcqSetPostTriggerDelay(0)\n", |
| "\n", |
| "size = 1024\n", |
| "channels = (0,1)\n", |
| "\n", |
| "# start acquisition process\n", |
| "rp.AcqStart()\n", |
| "# set trigger source to start acquisition\n", |
| "rp.AcqSetTriggerSrc(rp.TRIG_SRC_CHA_PE)\n", |
| "# wait in a loop for trigger state to chage from TRIG_STATE_WAITING\n", |
| "while rp.AcqGetTriggerSrc():\n", |
| " pass\n", |
| "print('triggered')\n", |
| "\n", |
| "# read data from FPGA FIFO into memory and display it\n", |
| "buff = [rp.AcqGetOldestDataV(ch, size) for ch in channels];" |
| ] |
| }, |
| { |
| "cell_type": "code", |
| "execution_count": null, |
| "metadata": { |
| "collapsed": false, |
| "deletable": true, |
| "editable": true |
| }, |
| "outputs": [], |
| "source": [ |
| "import time\n", |
| "import numpy as np\n", |
| "\n", |
| "from bokeh.io import push_notebook, show, output_notebook\n", |
| "from bokeh.models import HoverTool, Range1d\n", |
| "from bokeh.plotting import figure\n", |
| "from bokeh.plotting import show, output_file, vplot\n", |
| "from bokeh.resources import INLINE \n", |
| "from bokeh.models import Column\n", |
| "output_notebook(resources=INLINE)" |
| ] |
| }, |
| { |
| "cell_type": "code", |
| "execution_count": null, |
| "metadata": { |
| "collapsed": false, |
| "deletable": true, |
| "editable": true |
| }, |
| "outputs": [], |
| "source": [ |
| "def hfill(histogram, datum, weight=1):\n", |
| " for idx, b in enumerate(histogram[1]):\n", |
| " if idx > 0:\n", |
| " if (datum < b and datum >= histogram[1][0]) or (datum <= b and idx == len(histogram[1]) - 1):\n", |
| " histogram[0][idx - 1] += int(weight)\n", |
| " break\n", |
| " \n", |
| "def h1d(title, titlex, titley, nbins, xmin,xmax):\n", |
| " h = np.histogram([], bins=nbins, range= (xmin,xmax))\n", |
| " p = figure(title=title,tools=\"save\", background_fill_color=\"#E8DDCB\")\n", |
| " p.quad(top=h[0], bottom=0, left=h[1][:-1], right=h[1][1:])\n", |
| " p.xaxis.axis_label = 'p.h.(ADC)'\n", |
| " p.yaxis.axis_label = 'N'\n", |
| " return [h,p]" |
| ] |
| }, |
| { |
| "cell_type": "code", |
| "execution_count": null, |
| "metadata": { |
| "collapsed": false, |
| "deletable": true, |
| "editable": true, |
| "scrolled": false |
| }, |
| "outputs": [], |
| "source": [ |
| "hadc = np.histogram([], bins=40, range= (0,0.5))\n", |
| "p1 = figure(title=\"ADC distribution\",tools=\"save\", background_fill_color=\"#E8DDCB\")\n", |
| "p1.quad(top=hadc[0], bottom=0, left=hadc[1][:-1], right=hadc[1][1:], fill_color=\"#036564\", line_color=\"#033649\")\n", |
| "p1.xaxis.axis_label = 'p.h.(ADC)'\n", |
| "p1.yaxis.axis_label = 'N'\n", |
| "\n", |
| "\n", |
| "htdc = np.histogram([], bins=100, range= (0,size))\n", |
| "p2 = figure(title=\"TDC distribution\",tools=\"save\", background_fill_color=\"#E8DDCB\")\n", |
| "p2.quad(top=htdc[0], bottom=0, left=htdc[1][:-1], right=htdc[1][1:], fill_color=\"#036564\", line_color=\"#033649\")\n", |
| "p2.xaxis.axis_label = 'p.h.(ADC)'\n", |
| "p2.yaxis.axis_label = 'N'\n", |
| "\n", |
| "#print(hist)\n", |
| "#for event in [ 1,2,3,4,4,5,6,32,4,10]:\n", |
| "# hfill(hist,event)\n", |
| "\n", |
| "#adcplot = show(p1, notebook_handle=True)\n", |
| "N = size\n", |
| "x = np.arange(N) / rp.FS\n", |
| "\n", |
| "colors = ('red', 'blue')\n", |
| "hover = HoverTool(mode = 'vline', tooltips=[(\"T\", \"@x\"), (\"V\", \"@y\")])\n", |
| "tools = \"pan,wheel_zoom,box_zoom,reset,crosshair,save\"\n", |
| "p = figure(plot_height=500, plot_width=900, title=\"oscilloscope\", toolbar_location=\"above\", tools=(tools, hover))\n", |
| "p.xaxis.axis_label='time [s]'\n", |
| "p.yaxis.axis_label='voltage [V]'\n", |
| "p.y_range=Range1d(-0.1, 0.1)\n", |
| "r = [p.line(x, buff[i], line_width=1, line_alpha=0.7, color=colors[i]) for i in channels]\n", |
| "\n", |
| "target = show( Column(p, p1, p2), notebook_handle=True)" |
| ] |
| }, |
| { |
| "cell_type": "code", |
| "execution_count": null, |
| "metadata": { |
| "collapsed": false, |
| "deletable": true, |
| "editable": true |
| }, |
| "outputs": [], |
| "source": [ |
| "size = 1024\n", |
| "channels = (0,1)\n", |
| "\n", |
| "rp.AcqReset()\n", |
| "rp.AcqSetDecimationFactor(1)\n", |
| "threshold = -0.05\n", |
| "rp.AcqSetTriggerLevel(0, threshold)\n", |
| "rp.AcqSetPostTriggerDelay(size-80)\n", |
| "\n", |
| "neve = 0\n", |
| "while True:\n", |
| " rp.AcqStart()\n", |
| " rp.AcqSetTriggerSrc(rp.TRIG_SRC_CHA_NE) \n", |
| " while (rp.AcqSetTriggerSrc(rp.TRIG_SRC_CHA_NE)): pass\n", |
| " buff = [rp.AcqGetLatestDataV(ch, size) for ch in channels];\n", |
| "\n", |
| " adcdata = np.absolute(np.amin(buff[0]))\n", |
| " signal = np.array(buff[0])\n", |
| " tdcdata = np.where(signal < threshold)[0] # get item\n", |
| "# print (adcdata, tdcdata)\n", |
| " hfill(hadc,adcdata)\n", |
| " \n", |
| " for a in tdcdata:\n", |
| " if a - tdcdata[0] > 5:\n", |
| " hfill(htdc,a-tdcdata[0])\n", |
| " break \n", |
| " neve+=1\n", |
| " for i in channels:\n", |
| " r[i].data_source.data['y'] = buff[i]\n", |
| "# push updates to the plot continuously using the handle (intererrupt the notebook kernel to stop)\n", |
| " if (neve%10 == 0):\n", |
| " push_notebook(handle=target)\n", |
| "# time.sleep(0.05)" |
| ] |
| } |
| ], |
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