diff --git a/examples/acoustics_example.ipynb b/examples/acoustics_example.ipynb
index 41104f23..fe73e44c 100644
--- a/examples/acoustics_example.ipynb
+++ b/examples/acoustics_example.ipynb
@@ -14,6 +14,7 @@
"2. Calibrate data\n",
"3. Calculate spectral density\n",
"4. Calculate other parameters\n",
+ "5. Create plots\n",
"\n",
"We'll import a couple plotting tools and the acoustics module:"
]
@@ -26,6 +27,7 @@
"source": [
"import numpy as np\n",
"import matplotlib.dates as mdates\n",
+ "import matplotlib.pyplot as plt\n",
"\n",
"from mhkit import acoustics"
]
@@ -40,7 +42,7 @@
"\n",
"The `read_hydrophone` function scales and transforms raw measurements given a few input parameters. Most parameters needed to convert the raw data are stored in the native .wav format header blocks, but two, the peak voltage (\"peak_voltage\") of the sensor's analog-to-digital converter (ADC) and file \"start_time\" (usually stored in the filename) are required. \n",
"\n",
- "Two other inputs, the hydrophone \"sensitivity\" and an amplifier \"gain\" (typically for custom hydrophone builds) can also be input. If a sensitivity value is provided, the function will convert voltage to pressure; otherwise the sensitivity(ies) can be provided later using a calibration curve. Gain should be provided if the instrument utilizes an amplifier gain, which is then added to the sensitivity."
+ "Two other inputs, the hydrophone sensitivity (\"sensitivity\") and an amplifier gain (\"gain\") can also be input. If a sensitivity value is provided, the function will convert voltage to pressure; otherwise the sensitivity(ies) can be provided later using a calibration curve. Gain should be provided if the instrument utilizes an amplifier gain (typically for custom hydrophone builds), which is then added to the sensitivity."
]
},
{
@@ -87,7 +89,7 @@
"source": [
"\"Smart\" hydrophones are those where the hydrophone element, pre-amplifier board, ADC, motherboard and memory card are sold in a single package. Companies that sell these often store metadata in the .wav file header, and MHKiT has a couple of wrapper functions for these hydrophones.\n",
"\n",
- "OceanSonics icListens and OceanInstruments Soundtraps are two common smart hydrophones datafiles with examples as follows.\n",
+ "OceanSonics icListen and OceanInstruments Soundtrap are two common smart hydrophone models, with examples as follows.\n",
"\n",
"For icListen datafiles, only the filename is necessary to provide to return file contents in units of pressure. The stored sensitivity calibration value can be overridden by setting the \"sensitivity\" input, and to return measurements in units of voltage, set `sensitivity` to None and `use_metadata` to False."
]
@@ -129,9 +131,9 @@
"source": [
"### Mean Square Sound Pressure Spectral Density\n",
"\n",
- "After the .wav file is read in, either in units of pressure or voltage, we calculate the mean square sound pressure spectral density (SPSD) of the timeseries using `sound_pressure_spectral_density`. This splits the timeseries into windows and uses fast Fourier transforms to convert the raw measurements into the frequency domain, with units of $Pa^2/Hz$ or $V^2/Hz$, depending on the input. The function takes the original datafile, the hydrophone's sampling rate, which is stored as an attribute of the measurement timeseries, and a window size in seconds as input.\n",
+ "After the .wav file is read in, either in units of pressure or voltage, we calculate the mean square sound pressure spectral density (SPSD) of the timeseries using `sound_pressure_spectral_density`. This splits the timeseries into windows and uses fast Fourier transforms to convert the raw measurements into the frequency domain, with units of $Pa^2/Hz$ or $V^2/Hz$, depending on the input. The function takes the original datafile, the hydrophone's sampling rate (\"fs\"), which is stored as an attribute of the measurement timeseries, and a window size (\"bin_length\") in seconds as input.\n",
"\n",
- "The IEC-40 considers an acoustic sample to have a length of 1 second, so we'll set the window size as such here."
+ "The IEC-40 considers an acoustic sample to have a length of 1 second, so we'll set the bin length as such here."
]
},
{
@@ -152,14 +154,14 @@
"\n",
"For conducting scientific-grade analysis, it is critical to use calibration curves to correct the SPSD calculations. Hydrophones should be calibrated (i.e., a sensitivity calibration curve should be generated for a hydrophone) every few years. The IEC-40 asks that a hydrophone be calibrated both before and after the test deployment.\n",
"\n",
- "A calibration curve consists of the hydrophone's sensitivity (in units of dB rel $1 V^2/uPa^2$) vs frequency and should be applied to the spectral density we just calculated.\n",
+ "A calibration curve consists of the hydrophone's sensitivity (in units of $dB$ rel $1$ $V^2/uPa^2$) vs frequency and should be applied to the spectral density we just calculated.\n",
"\n",
"The easiest way to apply a sensitivity calibration curve in MHKiT is to first copy the calibration data into a CSV file, where the left column contains the calibrated frequencies and the right column contains the sensitivity values. Here we use the function in the following codeblock to read in a CSV file created with the column headers \"Frequency\" and \"Analog Sensitivity\"."
]
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 6,
"metadata": {},
"outputs": [
{
@@ -200,428 +202,12 @@
},
{
"cell_type": "code",
- "execution_count": 8,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "
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- ],
- "text/plain": [
- " Size: 320B\n",
- "array([-223.49, -220.8 , -218.13, -215.41, -212.68, -209.91, -207.12,\n",
- " -204.29, -201.45, -198.58, -195.69, -192.79, -189.85, -186.9 ,\n",
- " -183.93, -180.93, -177.92, -174.97, -172.16, -169.61, -167.69,\n",
- " -166.52, -165.96, -165.81, -165.85, -165.95, -166.05, -166.13,\n",
- " -166.2 , -166.25, -166.28, -166.29, -166.29, -166.27, -166.24,\n",
- " -166.17, -166.03, -165.79, -165.47, -164.87])\n",
- "Coordinates:\n",
- " * Frequency (Frequency) float64 320B 1.0 1.183 1.399 ... 500.3 591.8 700.0"
- ]
- },
- "execution_count": 8,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "sensitivity_curve"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 9,
+ "execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"# Use last value in calibration curve for higher frequencies\n",
- "fill_Sf = sensitivity_curve[-1].values.item()\n",
+ "fill_Sf = sensitivity_curve[-1].values\n",
"spsd = acoustics.apply_calibration(spsd, sensitivity_curve, fill_value=fill_Sf)"
]
},
@@ -631,14 +217,14 @@
"source": [
"### Mean Square Sound Pressure Spectral Density Level\n",
"\n",
- "We can use the function `sound_pressure_spectral_density_level` to calculate the mean square sound pressure spectral density levels (SPSDLs) from the calibrated SPSD. This function converts absolute pressure into relative pressure in log-space, the traditional means with which we measure sound, in units of decibels relative to 1 uPa (dB rel 1 uPa), the standard for underwater sound. \n",
+ "We can use the function `sound_pressure_spectral_density_level` to calculate the mean square sound pressure spectral density levels (SPSDLs) from the calibrated SPSD. This function converts absolute pressure into relative pressure in log-space, the traditional means with which we measure sound, in units of decibels relative to 1 uPa ($dB$ rel $1$ $uPa$), the standard for underwater sound. \n",
" \n",
- "Sidenote: Sound in air is measured in decibels relative to 20 uPa, the minimum pressure level humans can hear. To convert between dB rel 1 uPa and dB rel 20 uPa, one simply needs to subtract 26 dB from the dB rel 1 uPa value."
+ "Sidenote: Sound in air is measured in decibels relative to 20 uPa, the minimum sound pressure humans can hear. To convert between \"$dB$ rel $1$ $uPa$\" and \"$dB$ rel $20$ $uPa$\", one simply needs to subtract 26 dB from the \"$dB$ rel $1$ $uPa$\" value."
]
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
@@ -651,35 +237,33 @@
"source": [
"Now that the SPSDL is calculated, we can create spectrograms, or waterfall plots, using the `plot_spectrogram` function in the graphics submodule. While spectrograms aren't required by the IEC-40, they are useful to do quality control so we can avoid using contaminated soundbytes in further analysis (like the boat noise shown in this one).\n",
"\n",
- "To do this, we'll give the function the minimum and maximum frequencies to plot, as well as keyword arguments supplied to the matplotlib pcolormesh function. For these measurements, we're setting fmin = 10 Hz, the minimum specified by the IEC-40, and fmax = 48,000 Hz, the Nyquist frequency for these data. \n",
+ "To do this, we'll give the function the minimum and maximum frequencies to plot, as well as keyword arguments supplied to the matplotlib `pcolormesh` function. For these measurements, we're setting fmin = 10 Hz, the minimum specified by the IEC-40, and fmax = 48,000 Hz, the Nyquist frequency for these data. \n",
"\n",
"Note, the IEC-40 requires a maximum frequency of 100,000 Hz, so a hydrophone capable of sampling faster than 200,000 Hz should be used for IEC testing."
]
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 9,
"metadata": {},
"outputs": [
{
- "data": {
- "text/plain": [
- "48000.0"
- ]
- },
- "execution_count": 11,
- "metadata": {},
- "output_type": "execute_result"
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " Size: 8B\n",
+ "array(48000.)\n"
+ ]
}
],
"source": [
"# Show Nyquist frequency (maximum in frequency vector)\n",
- "spsdl[\"freq\"].max().item()"
+ "print(spsdl[\"freq\"].max())"
]
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 10,
"metadata": {},
"outputs": [
{
@@ -718,7 +302,7 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
@@ -731,16 +315,74 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "### Window Averaging\n",
+ "### IEC-40 Stats\n",
"\n",
"The IEC-40 requires a few aggregate statistics for characterizing the sound of marine energy devices. For the first, the IEC-40 asks for plots showing the 25%, 50%, and 75% quantiles of the SPSDL during specific marine energy device states. For current energy devices, the IEC-40 requires 10 SPSDL samples at a series of turbine states (braked, freewheel, 25% power, 50% power, 75% power, 100% power). For wave energy devices, the spec requires 30 SPSDL samples in each wave height and period bin observed.\n",
"\n",
- "In the following code block, we'll take our 5 minutes of measurements, `time_aggregate` them into 30 second intervals, and find the median, 25% and 75% quantiles of each interval. For the IEC-40, the sets 10 or 30 samples can either be continuous timeseries or pieced together from individual 1 s measurements. For this example notebook we'll keep it simple and just use the first 30 s interval."
+ "For this example notebook we'll keep it simple and use a random set of 30 samples and collate them together. Otherwise one can pick and choose which to use. Then we can find the median and quantiles of those 30 samples."
]
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Text(0.5, 1.0, 'Median and Quantile Sound Pressure Spectral Density Level')"
+ ]
+ },
+ "execution_count": 12,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "