resistors.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pylab as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "Rs = np.logspace(0.1, 6, 1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [],
   "source": [
    "def minbits(RL, k=1.02):\n",
    "    return -np.log2(k*Rs/(k*Rs+RL) - Rs/(Rs+RL))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
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       "\n",
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       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
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       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
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       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
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       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
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       "    this._init_toolbar(this);\n",
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       "    var fig = this;\n",
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       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
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       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
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       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
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       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
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       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
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       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
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       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
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       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
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       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"700\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,4), dpi=100)\n",
    "\n",
    "plt.axvspan(1, 10, color=\"gray\", alpha=0.2)\n",
    "plt.axvspan(50e3, 1000e3, color=\"gray\", alpha=0.2)\n",
    "plt.xlim((2, 300e3))\n",
    "plt.ylim((7,16))\n",
    "\n",
    "def plot_R(R, **kwargs):\n",
    "    s = \"%d\\,\" % R if R < 1000 else \"%.1f\\, \\mathrm{k}\" % (R/1000)\n",
    "    plt.plot(Rs, minbits(R), label=\"$R_L = %s\\Omega$\" % s, lw=1.5, **kwargs)\n",
    "    \n",
    "plot_R(100, c=\"b\")\n",
    "plot_R(680, c=\"k\")\n",
    "plot_R(5.6e3, c=\"g\")\n",
    "\n",
    "\n",
    "plt.semilogx()\n",
    "plt.grid(True, which=\"major\", ls=\"-\", c=\"k\", alpha=0.4)\n",
    "plt.grid(True, which=\"minor\", ls=\":\", c=\"k\", alpha=0.4)\n",
    "plt.legend()\n",
    "plt.xlabel(\"$R_S\\, (\\Omega)$\")\n",
    "plt.ylabel(\"min. noise-free bits\\nfor 2% resolution\")\n",
    "plt.show()\n",
    "plt.savefig(\"bits_2pct.png\", dpi=300, bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "hide_input": false,
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}