Lab05_Simple_Harmonic_Oscillator.ipynb

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    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.rcParams.update({'font.size': 14})\n",
    "plt.rcParams['lines.linewidth'] = 3\n",
    "pi=np.pi\n"
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    "# ME 3263 - Sensors and Data Analysis\n",
    "\n",
    "## Lab #5 -  Simple Harmonic Oscillator                                                                        \n",
    "### What are simple harmonic oscillators?\n",
    "\n",
    "In classical mechanics, a harmonic oscillator is a system that, when displaced from its equilibrium\n",
    "position, experiences a restoring force proportional to the displacement. If restoring force  is the\n",
    "only force acting on the system, the system is called a simple harmonic oscillator, and it undergoes\n",
    "simple harmonic motion: sinusoidal oscillations about the equilibrium point, with a constant\n",
    "amplitude and a constant frequency (which does not depend on the\n",
    "amplitude).[\\[1\\]](https://en.wikipedia.org/wiki/Harmonic_oscillator)\n",
    "\n",
    "Harmonic oscillators occur widely in nature and are exploited in many manmade devices, such as\n",
    "clocks and radio circuits. They are the source of virtually all sinusoidal vibrations and waves. In\n",
    "this lab, we will build spring-mass simple harmonic oscillator using common materials, and\n",
    "determine the stiffness of the spring based on governing equations of the system.\n"
   ]
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    "### 1-DOF spring-mass system \n",
    "\n",
    "Figure 1 shows the schematic of spring-mass simple harmonic oscillator.  In this system with 1 mass\n",
    "and 1 spring, we have 1 degree of freedom.  So, there is 1 differential equation that describes the\n",
    "motion of mass.  Employing Newton's law, $ F = ma = m \\ddot{x}$ and Hook's law for spring restoring\n",
    "force , $F = -kx$, to this sytem, the governing differential is obtained as:  \n",
    "\n",
    "$m \\ddot{x} = -kx$    (1)\n",
    "\n",
    "where  $m$ and $k$ denote the mass and spring stiffness respectively. The differential equations\n",
    "relate acceleration of mass $\\ddot{x}$ to displacement, $x$. \n",
    "\n",
    "\n",
    "<center><img src=\"./spring_mass_animation.gif\" alt=\"Drawing\" style=\"width: 100px;\"/></center>\n",
    "<center>Figure 1: Simple harmonic spring-mass oscillator</center>\n",
    "\n",
    "\n",
    "                              "
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    "The solution for ${x}$ will be a combination of sine and cosine functions, at\n",
    "natural frequency of the system, depending upon initial conditions. Substituting\n",
    "\n",
    "${x}=A\\sin(\\omega t) + B \\cos(\\omega t)$    (2)\n",
    "\n",
    "Eqn 1 gives\n",
    "\n",
    "$m  \\omega^2 = k$    (3)\n",
    "\n",
    "where $A$ is amplitude of the sine function, $B$ is the amplitude of the cosine function, and\n",
    "$\\omega$ is the natural frequency. Eqn 3 can also be rearranged as \n",
    "\n",
    "$\\omega^2 = k \\frac{1}{m} $    (4)\n"
   ]
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    "## Lab procedure\n",
    "\n",
    "This Lab requires simple materials to explore the physics of periodic motion. You need a spring and some weights, such as small fishing sinkers. A example is shown in Figure 2 which uses spring removed from spiral notebook. The spring has much smaller mass than added masses, and can be neglected. \n",
    "\n",
    "<center><img src=\"./spring_mass_smartphone.jpg\" alt=\"Drawing\" style=\"width: 300px;\"/></center>\n",
    "<center>Figure 2: Simple harmonic spring-mass oscillator using smartphone</center>\n",
    "\n",
    "When a spring is displaced from its equilibrium position, it experiences a restoring force proportional to the displacement from equilibrium and the spring constant. When you add a weight to a spring and stretch it, then release it, the spring will oscillate before it returns to rest at its equilibrium position as shown in Figure 1. As you add more weight to the spring, the frequncy of oscillation, $\\omega$,  changes. With increase in added mass, $\\omega$ decreases as suggested by Eqn 4. In this lab, we will measure the frequncy of oscillation, $\\omega$, by adding different masses, $m$ , to the spring, and fit the data using linear regression to determine the spring constant, $k$. \n",
    "\n",
    "The lab procedure is briefly described below:\n",
    "\n",
    "1. Download the phyphox app and have your spring experiment ready to measure  $\\omega$\n",
    "2. Build your spring mass oscillator similar to example in Figure 2. Initially, in this syestem added mass is mass of the smartphone,$m_p$. You can check your phone specification for the mass or weigh the phone using the scale.\n",
    "3. Verify the smartphone measurements of $\\omega$ by comparing with alternative method. Example is provided in verification section below. Afer the verfication, proceed to the next phase of adding masses.\n",
    "\n",
    "4. Measure the mass of one of your weights, using the scale. If your scale does not measure small weights, you can weigh all five of your weights and divide by five. Then measure the mass of the spring.\n",
    "5. Perform the following steps to collect your data:\n",
    "    - Add additional mass, $m_i$ , to the spring. Total mass is ($m_p$ + $m_i$)\n",
    "    - Start the \"timed run\" spring experiment \n",
    "    - Hold one end of the spring in your hand and let it bounce gently down and then back up. \n",
    "    - Note the  $\\omega$ once the run is over.\n",
    "    - Perform at least three trials for each weight.\n",
    "    - Repeat previous 5 steps for a series of different weights (at the least 5).\n",
    "\n",
    "Once you have the data, use linear least square regression to obtain siffness constant , $k$ , of the spring. Also, perform error progation in $k$ based on your lab set-up and measuring equipment. Refer to next few sections for details.  \n"
   ]
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    "### Verification\n",
    "    \n",
    "For the verification of frequency given by smartphone, we will compare the observed frequency with altenative method. This method is  estimating frequency from the decaying oscillation[4]. The time between the peaks is the oscillation period, relate this to the frequency as \n",
    "\n",
    "$\\omega=\\frac{1}{T}~Hz$  (5)\n",
    " "
   ]
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   "source": [
    "%matplotlib notebook\n"
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       "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",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\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",
       "    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",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\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",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\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,\n",
       "                             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",
       "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\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.get(0);\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",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\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).html('<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/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('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",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\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",
       "    // 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",
       "\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('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "data = pd.read_csv('Raw Data.csv')\n",
    "acc = data['Acceleration y (m/s^2)'].values  # Be careful with the directions\n",
    "time = data['Time (s)'].values\n",
    "\n",
    "plt.figure(3)\n",
    "plt.plot(time, acc,'.-')\n",
    "plt.xlabel('time (s)')\n",
    "\n",
    "plt.xlabel('time,s')\n",
    "plt.ylabel('acceleration (m/s^2)');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the graph above, I zoomed into the region around t=30s. The natural frequency is obtined by counting the cycles and dividing by the time, \n",
    "\n",
    "$\\omega = \\frac{\\#~cycles}{\\Delta t}$    (6)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "The frequncy of oscillation: 2.38 Hz\n",
      "\n",
      "The frequncy reported by smartphone: 2.39 Hz\n"
     ]
    }
   ],
   "source": [
    "# Verification of frequency of oscillation\n",
    "omega_smartphone  = 2.39\n",
    "t1 = 33.4313;\n",
    "t2 = 35.1133\n",
    "delta_t =(t2-t1)\n",
    "\n",
    "ncycles = 4;\n",
    "omega0 = ncycles/delta_t\n",
    "\n",
    "print(\"\\nThe frequncy of oscillation: %1.2f Hz\" % omega0)\n",
    "print(\"\\nThe frequncy reported by smartphone: %1.2f Hz\" % omega_smartphone)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Linear least square fit\n",
    "\n",
    "Once you have number of data points for $m$ and $\\omega$, you can use a linear regression to\n",
    "determine the slope of the data. Equation (4) predicts that the square of frequency of\n",
    "oscillation , $\\omega^2$, and inverse of mass, $1/m$, are related by a proportional constant, $k$,\n",
    "the stiffness constant of the spring. If we know $k$, the total squared error is as such\n",
    "\n",
    "$SSE=\\sum_i^N{(\\omega_i^2-k\\frac{1}{m_i})^2}$ (7)\n",
    "\n",
    "where SSE is the sum of squares error between the predicted moment and measured moment for the $i^{th}$ measurement with $N$ total measurements [\\[2\\]](https://www.amazon.com/Numerical-Methods-Engineers-Steven-Chapra/dp/0073401064). We can choose a of $k$ that minimizes $SSE$, but it will never be zero. Below is an example calculation for a linear least squares regression for spring-mass simple harmonic oscillatorr.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data collected from Phyphox\n",
    "\n",
    "phone_mass = 430  #in grams\n",
    "added_mass = np.array([phone_mass, phone_mass+50, phone_mass+100, phone_mass+150, phone_mass+200])   #in grams\n",
    "added_mass = np.array([0,0,0,50,50,50,60,60,60,100,100,100,150,150,150,200,200,200])\n",
    "mass= (phone_mass/1000)+(added_mass/1000)           # mass in kg\n",
    "#print(mass)\n",
    "omega = np.array([2.39,2.41,2.39,2.13,2.12,2.13,2.08,2.08,2.07,2.03,2.03,2.05,1.94,1.93,1.92,1.81,1.82,1.81]) # in Hz\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best fit for stiffness constant is 2.22 +/- 0.03 N/m\n"
     ]
    },
    {
     "data": {
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       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
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       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('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",
       "\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",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
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       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
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       "\n",
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       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
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       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
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       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
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       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
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       "        event['data'] = 'scroll'\n",
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       "            event.step = -1;\n",
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       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
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       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
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       "    this._resize_canvas(600, 600);\n",
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       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
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       "\n",
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       "        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 nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
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       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\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",
       "\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",
       "\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]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
       "    {\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.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",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\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",
       "    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",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\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",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\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,\n",
       "                             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",
       "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\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.get(0);\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",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\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).html('<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/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('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",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\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",
       "    // 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",
       "\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('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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width=\"640\">"
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      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '$\\\\omega^2$ (1/$Hz^2$)')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Linear least-square fit to determine stiffness of the springfrom scipy.optimize import curve_fit\n",
    "from scipy.optimize import curve_fit\n",
    "\n",
    "def func(x,K):\n",
    "    return K*x\n",
    "\n",
    "K,pcov = curve_fit(func, 1/mass, omega**2)  #independent variable on x-axis,1/m, dependent variable on y-axis,omega^2\n",
    "K_error =np.sqrt(pcov[0,0])\n",
    "\n",
    "print(\"Best fit for stiffness constant is %1.2f +/- %1.2f N/m\"%(K,K_error))\n",
    "\n",
    "plt.figure(4)\n",
    "plt.plot(1/mass,omega**2,'o',label='experiment')\n",
    "plt.plot(1/mass,func(1/mass,K),label='model')\n",
    "plt.legend()\n",
    "plt.xlabel(r'1/M (1/kg)')\n",
    "plt.ylabel(r'$\\omega^2$ ($Hz^2$)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Error Propagation in stiffness constant, $k$\n",
    "\n",
    "Eqn 4 can be rearranged as :\n",
    "\n",
    "$k = \\omega^2m$        (8)\n",
    "\n",
    "The propagation of error in $\\sigma_k$ from the variables $\\omega$ and  $m$ with unceratinties  $\\sigma_\\omega$ and  $\\sigma_m$ repectively can be calculates as:\n",
    "\n",
    "$\\sigma_k = \\sqrt{(\\frac{\\partial{k}}{\\partial \\omega})^2\\sigma_\\omega^2 + (\\frac{\\partial{k}}{\\partial m}^2)\\sigma_m^2}$    (9)\n",
    "\n",
    "Note : One way to account for $\\sigma_\\omega$ and  $\\sigma_m$ is to use estimates based on least significant digit of measurements. \n",
    "Typically, the minimum uncertainty of a single measurement made with an instrument incorporating a digital readout is equal to the value of the least significant digit (least-count) of the display. [\\[3\\]](http://www.phys.lsu.edu/classes/phys2108/2108_measA.pdf)\n",
    "\n",
    "For example, suppose you are sick and have a fever, and you take your temperature with a digital electronic thermometer. The display indicates reading of 101.4 F. The correct representation of the measurement, assuming that the least-counts of thermometer is 0.1 F, would be 101.4 ± 0.1 F \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### References\n",
    "\n",
    "1. Wikipedia contributors. (2020, October 20). Harmonic oscillator. In Wikipedia, The Free Encyclopedia. Retrieved 05:31, November 9, 2020, from https://en.wikipedia.org/w/index.php?title=Harmonic_oscillator&oldid=984564166\n",
    "2. S. Chapra, Numerical Methods for Engineers, ch. 14-15, 6th Edition, McGraw-Hill, 2009.\n",
    "3. [Introduction to Measurement and Data Analysis Notes](http://www.phys.lsu.edu/classes/phys2108/2108_measA.pdf)\n",
    "4. ME 3263 Lab 3 - Measuring Natural frequncies Jupyter notebook\n",
    "5. Science Buddies Staff. (2020, June 23). Simple Harmonic Motion in a Spring-Mass System. Retrieved from https://www.sciencebuddies.org/science-fair-projects/project-ideas/Phys_p064/physics/simple-harmonic-motion-springs?utm_source=googlesciencejournallanding&utm_campaign=GSJ&utm_"
   ]
  }
 ],
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