{"title":"Gravitational waves","code":"# /// script\n# requires-python = \">=3.12\"\n# dependencies = [\"marimo>=0.25.1\", \"numpy\", \"matplotlib\"]\n# ///\n\nimport marimo\n\n__generated_with = \"0.25.1\"\napp = marimo.App(width=\"medium\")\n\n\n@app.cell(hide_code=True)\ndef _(mo):\n    mo.md(\n        r\"\"\"\n        # Listen to two black holes merge\n\n        On 14 September 2015 the two LIGO detectors recorded a signal that\n        rose in pitch and loudness for a fifth of a second and stopped: two\n        black holes, about 36 and 29 times the mass of the Sun, spiralling\n        into each other 1.3 billion light years away. It was the first direct\n        detection of gravitational waves.\n\n        Long before the merger, an orbiting pair loses energy to gravitational\n        waves at a rate set by one combination of the masses, the chirp mass\n        $\\mathcal{M} = (m_1 m_2)^{3/5} / (m_1 + m_2)^{1/5}$. To leading order\n        the wave's frequency $\\tau$ seconds before the merger is\n\n        $$f(\\tau) = \\frac{1}{\\pi}\\left(\\frac{5}{256\\,\\tau}\\right)^{3/8}\n        \\left(\\frac{G\\mathcal{M}}{c^3}\\right)^{-5/8}.$$\n\n        Choose the masses and the distance, look at the wave, and play it.\n        \"\"\"\n    )\n    return\n\n\n@app.cell\ndef _():\n    import io\n    import wave\n\n    import marimo as mo\n    import numpy as np\n    import matplotlib.pyplot as plt\n    return io, mo, np, plt, wave\n\n\n@app.cell\ndef _(mo):\n    m1 = mo.ui.slider(1.4, 80, step=0.1, value=36, label=\"Mass 1 (Suns)\")\n    m2 = mo.ui.slider(1.4, 80, step=0.1, value=29, label=\"Mass 2 (Suns)\")\n    distance = mo.ui.slider(40, 3000, step=10, value=410, label=\"Distance (megaparsecs)\")\n    mo.vstack([m1, m2, distance])\n    return distance, m1, m2\n\n\n@app.cell\ndef _(np):\n    G, C = 6.674e-11, 2.998e8\n    M_SUN, MPC = 1.989e30, 3.086e22\n\n    def chirp(m1, m2, distance_mpc, f_low=20.0, rate=4096):\n        \"\"\"Leading-order inspiral from f_low up to the innermost stable orbit.\n\n        Returns time (s, zero at the end), strain h(t) for a face-on source,\n        frequency f(t), and the stopping frequency.\n        \"\"\"\n        total = (m1 + m2) * M_SUN\n        mc = (m1 * m2) ** 0.6 / (m1 + m2) ** 0.2 * M_SUN\n        tc = G * mc / C**3\n        f_isco = C**3 / (6**1.5 * np.pi * G * total)\n        tau_low = 5 / 256 * tc ** (-5 / 3) * (np.pi * f_low) ** (-8 / 3)\n        tau_end = 5 / 256 * tc ** (-5 / 3) * (np.pi * f_isco) ** (-8 / 3)\n        tau = np.arange(tau_low, tau_end, -1 / rate)\n        f = (5 / (256 * tau)) ** 0.375 * tc ** (-0.625) / np.pi\n        phase = -2 * (5 * tc) ** (-0.625) * tau**0.625\n        amplitude = 4 / (distance_mpc * MPC) * (G * mc / C**2) ** (5 / 3) * (np.pi * f / C) ** (2 / 3)\n        return -(tau - tau_end), amplitude * np.cos(phase), f, f_isco\n\n    return (chirp,)\n\n\n@app.cell\ndef _(chirp, distance, m1, m2, mo, np, plt):\n    t, h, f, f_isco = chirp(m1.value, m2.value, distance.value)\n    cycles = np.sum(f) / 4096\n    last = t > -min(0.5, -t.min())\n\n    fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(7.2, 5), sharex=True)\n    ax1.plot(t[last], h[last] * 1e21, color=\"#0072B2\", lw=1)\n    ax1.set_ylabel(\"strain h (10⁻²¹)\")\n    ax2.plot(t[last], f[last], color=\"#D55E00\", lw=2)\n    ax2.set(xlabel=\"seconds before the end of the inspiral\", ylabel=\"frequency (Hz)\")\n    fig.tight_layout()\n\n    mo.vstack(\n        [\n            fig,\n            mo.md(\n                f\"From 20 Hz, where LIGO starts to hear it, the pair has **{-t.min():.2f} s** and \"\n                f\"**{cycles:,.0f} wave cycles** left. The inspiral ends near **{f_isco:.0f} Hz**, \"\n                f\"where the orbit can no longer stay stable. The peak strain here is \"\n                f\"**{np.abs(h).max():.1e}**: a 4 km detector arm changes length by \"\n                f\"{np.abs(h).max() * 4000:.1e} m, about 1/{1.7e-15 / (np.abs(h).max() * 4000):,.0f} \"\n                \"of the width of a proton.\"\n            ),\n        ]\n    )\n    return h, t\n\n\n@app.cell\ndef _(mo):\n    speed = mo.ui.dropdown({\"real time\": 1, \"4 × faster, two octaves higher\": 4}, value=\"real time\", label=\"Playback\")\n    speed\n    return (speed,)\n\n\n@app.cell\ndef _(h, io, mo, np, speed, wave):\n    rate = 4096 * speed.value\n    pcm = (h / np.abs(h).max() * 0.9 * 32767).astype(np.int16)\n    pcm = np.concatenate([np.zeros(rate // 4, np.int16), pcm, np.zeros(rate // 4, np.int16)])\n    buffer = io.BytesIO()\n    with wave.open(buffer, \"wb\") as out:\n        out.setnchannels(1)\n        out.setsampwidth(2)\n        out.setframerate(rate)\n        out.writeframes(pcm.tobytes())\n    mo.vstack(\n        [\n            mo.audio(buffer.getvalue()),\n            mo.md(\n                \"The sound is the strain itself, scaled to full volume. Heavy pairs chirp \"\n                \"low, below what laptop speakers play well; try the faster playback or \"\n                \"two neutron stars (1.4 and 1.4 Suns), whose chirp lasts much longer.\"\n            ),\n        ]\n    )\n    return\n\n\n@app.cell(hide_code=True)\ndef _(mo):\n    mo.md(\n        r\"\"\"\n        ---\n        **Model and limits.** Leading (quadrupole, Newtonian) order in the\n        orbital speed, circular orbits, a face-on source, and no detector\n        response. The waveform stops at the innermost stable circular orbit;\n        the merger and ringdown that follow need numerical relativity, and the\n        real GW150914 signal peaked near 150 Hz. Masses here are as measured\n        at the source, without the redshift correction.\n        **References.** B. P. Abbott et al. (LIGO and Virgo), *Phys. Rev. Lett.*\n        116 (2016) 061102; P. C. Peters and J. Mathews, *Phys. Rev.* 131 (1963)\n        435; M. Maggiore, *Gravitational Waves*, vol. 1 (2008), ch. 4.\n        Fork it to add the next post-Newtonian term or a detector's noise curve.\n        \"\"\"\n    )\n    return\n\n\nif __name__ == \"__main__\":\n    app.run()\n","revision":"2026-10-13T02:22:06.505Z","appConfig":{"width":"medium"},"firstPaint":{"notebook":{"cells":[{"code":"mo.md(\n    r\"\"\"\n    # Listen to two black holes merge\n\n    On 14 September 2015 the two LIGO detectors recorded a signal that\n    rose in pitch and loudness for a fifth of a second and stopped: two\n    black holes, about 36 and 29 times the mass of the Sun, spiralling\n    into each other 1.3 billion light years away. It was the first direct\n    detection of gravitational waves.\n\n    Long before the merger, an orbiting pair loses energy to gravitational\n    waves at a rate set by one combination of the masses, the chirp mass\n    $\\mathcal{M} = (m_1 m_2)^{3/5} / (m_1 + m_2)^{1/5}$. To leading order\n    the wave's frequency $\\tau$ seconds before the merger is\n\n    $$f(\\tau) = \\frac{1}{\\pi}\\left(\\frac{5}{256\\,\\tau}\\right)^{3/8}\n    \\left(\\frac{G\\mathcal{M}}{c^3}\\right)^{-5/8}.$$\n\n    Choose the masses and the distance, look at the wave, and play it.\n    \"\"\"\n)","code_hash":"ab1748a76e4a7c526500eb05ae21b1e7","config":{"column":null,"disabled":false,"expand_output":false,"hide_code":true},"id":"Hbol","name":"_"},{"code":"import io\nimport wave\n\nimport marimo as mo\nimport numpy as np\nimport matplotlib.pyplot as plt","code_hash":"504b81865ddf52b1128ae0ec1549c0b6","config":{"column":null,"disabled":false,"expand_output":false,"hide_code":false},"id":"MJUe","name":"_"},{"code":"m1 = mo.ui.slider(1.4, 80, step=0.1, value=36, label=\"Mass 1 (Suns)\")\nm2 = mo.ui.slider(1.4, 80, step=0.1, value=29, label=\"Mass 2 (Suns)\")\ndistance = mo.ui.slider(40, 3000, step=10, value=410, label=\"Distance (megaparsecs)\")\nmo.vstack([m1, m2, distance])","code_hash":"310968c0a1fafb43526780f2c9e1020c","config":{"column":null,"disabled":false,"expand_output":false,"hide_code":false},"id":"vblA","name":"_"},{"code":"G, C = 6.674e-11, 2.998e8\nM_SUN, MPC = 1.989e30, 3.086e22\n\ndef chirp(m1, m2, distance_mpc, f_low=20.0, rate=4096):\n    \"\"\"Leading-order inspiral from f_low up to the innermost stable orbit.\n\n    Returns time (s, zero at the end), strain h(t) for a face-on source,\n    frequency f(t), and the stopping frequency.\n    \"\"\"\n    total = (m1 + m2) * M_SUN\n    mc = (m1 * m2) ** 0.6 / (m1 + m2) ** 0.2 * M_SUN\n    tc = G * mc / C**3\n    f_isco = C**3 / (6**1.5 * np.pi * G * total)\n    tau_low = 5 / 256 * tc ** (-5 / 3) * (np.pi * f_low) ** (-8 / 3)\n    tau_end = 5 / 256 * tc ** (-5 / 3) * (np.pi * f_isco) ** (-8 / 3)\n    tau = np.arange(tau_low, tau_end, -1 / rate)\n    f = (5 / (256 * tau)) ** 0.375 * tc ** (-0.625) / np.pi\n    phase = -2 * (5 * tc) ** (-0.625) * tau**0.625\n    amplitude = 4 / (distance_mpc * MPC) * (G * mc / C**2) ** (5 / 3) * (np.pi * f / C) ** (2 / 3)\n    return -(tau - tau_end), amplitude * np.cos(phase), f, f_isco","code_hash":"78caed4c26fee3ba512b791a1355cb62","config":{"column":null,"disabled":false,"expand_output":false,"hide_code":false},"id":"bkHC","name":"_"},{"code":"t, h, f, f_isco = chirp(m1.value, m2.value, distance.value)\ncycles = np.sum(f) / 4096\nlast = t > -min(0.5, -t.min())\n\nfig, (ax1, ax2) = plt.subplots(2, 1, figsize=(7.2, 5), sharex=True)\nax1.plot(t[last], h[last] * 1e21, color=\"#0072B2\", lw=1)\nax1.set_ylabel(\"strain h (10⁻²¹)\")\nax2.plot(t[last], f[last], color=\"#D55E00\", lw=2)\nax2.set(xlabel=\"seconds before the end of the inspiral\", ylabel=\"frequency (Hz)\")\nfig.tight_layout()\n\nmo.vstack(\n    [\n        fig,\n        mo.md(\n            f\"From 20 Hz, where LIGO starts to hear it, the pair has **{-t.min():.2f} s** and \"\n            f\"**{cycles:,.0f} wave cycles** left. The inspiral ends near **{f_isco:.0f} Hz**, \"\n            f\"where the orbit can no longer stay stable. The peak strain here is \"\n            f\"**{np.abs(h).max():.1e}**: a 4 km detector arm changes length by \"\n            f\"{np.abs(h).max() * 4000:.1e} m, about 1/{1.7e-15 / (np.abs(h).max() * 4000):,.0f} \"\n            \"of the width of a proton.\"\n        ),\n    ]\n)","code_hash":"82510530e918e19763b779e3d6a3273d","config":{"column":null,"disabled":false,"expand_output":false,"hide_code":false},"id":"lEQa","name":"_"},{"code":"speed = mo.ui.dropdown({\"real time\": 1, \"4 × faster, two octaves higher\": 4}, value=\"real time\", label=\"Playback\")\nspeed","code_hash":"6f9d40052550ca647f447aad7eaccf9a","config":{"column":null,"disabled":false,"expand_output":false,"hide_code":false},"id":"PKri","name":"_"},{"code":"rate = 4096 * speed.value\npcm = (h / np.abs(h).max() * 0.9 * 32767).astype(np.int16)\npcm = np.concatenate([np.zeros(rate // 4, np.int16), pcm, np.zeros(rate // 4, np.int16)])\nbuffer = io.BytesIO()\nwith wave.open(buffer, \"wb\") as out:\n    out.setnchannels(1)\n    out.setsampwidth(2)\n    out.setframerate(rate)\n    out.writeframes(pcm.tobytes())\nmo.vstack(\n    [\n        mo.audio(buffer.getvalue()),\n        mo.md(\n            \"The sound is the strain itself, scaled to full volume. Heavy pairs chirp \"\n            \"low, below what laptop speakers play well; try the faster playback or \"\n            \"two neutron stars (1.4 and 1.4 Suns), whose chirp lasts much longer.\"\n        ),\n    ]\n)","code_hash":"63b1172f73d078a68d10a15ebd75cfe0","config":{"column":null,"disabled":false,"expand_output":false,"hide_code":false},"id":"Xref","name":"_"},{"code":"mo.md(\n    r\"\"\"\n    ---\n    **Model and limits.** Leading (quadrupole, Newtonian) order in the\n    orbital speed, circular orbits, a face-on source, and no detector\n    response. The waveform stops at the innermost stable circular orbit;\n    the merger and ringdown that follow need numerical relativity, and the\n    real GW150914 signal peaked near 150 Hz. Masses here are as measured\n    at the source, without the redshift correction.\n    **References.** B. P. Abbott et al. (LIGO and Virgo), *Phys. Rev. Lett.*\n    116 (2016) 061102; P. C. Peters and J. Mathews, *Phys. Rev.* 131 (1963)\n    435; M. Maggiore, *Gravitational Waves*, vol. 1 (2008), ch. 4.\n    Fork it to add the next post-Newtonian term or a detector's noise curve.\n    \"\"\"\n)","code_hash":"c2155b20fd5c9ca812a94f7203fe9ebd","config":{"column":null,"disabled":false,"expand_output":false,"hide_code":true},"id":"SFPL","name":"_"}],"metadata":{"marimo_version":"0.25.1"},"version":"1"},"session":{"cells":[{"code_hash":"ab1748a76e4a7c526500eb05ae21b1e7","console":[],"id":"Hbol","outputs":[{"data":{"text/markdown":"<span class=\"markdown prose dark:prose-invert contents\"><h1 id=\"listen-to-two-black-holes-merge\">Listen to two black holes merge</h1>\n<span class=\"paragraph\">On 14 September 2015 the two LIGO detectors recorded a signal that\nrose in pitch and loudness for a fifth of a second and stopped: two\nblack holes, about 36 and 29 times the mass of the Sun, spiralling\ninto each other 1.3 billion light years away. It was the first direct\ndetection of gravitational waves.</span>\n<span class=\"paragraph\">Long before the merger, an orbiting pair loses energy to gravitational\nwaves at a rate set by one combination of the masses, the chirp mass\n<marimo-tex class=\"arithmatex\">||(\\mathcal{M} = (m_1 m_2)^{3/5} / (m_1 + m_2)^{1/5}||)</marimo-tex>. To leading order\nthe wave's frequency <marimo-tex class=\"arithmatex\">||(\\tau||)</marimo-tex> seconds before the merger is</span>\n<marimo-tex class=\"arithmatex\">||[f(\\tau) = \\frac{1}{\\pi}\\left(\\frac{5}{256\\,\\tau}\\right)^{3/8}\n\\left(\\frac{G\\mathcal{M}}{c^3}\\right)^{-5/8}.||]</marimo-tex><span class=\"paragraph\">Choose the masses and the distance, look at the wave, and play it.</span></span>"},"type":"data"}]},{"code_hash":"504b81865ddf52b1128ae0ec1549c0b6","console":[],"id":"MJUe","outputs":[{"data":{"text/plain":""},"type":"data"}]},{"code_hash":"310968c0a1fafb43526780f2c9e1020c","console":[],"id":"vblA","outputs":[{"data":{"text/html":"<div style='display: flex;flex: 1;flex-direction: column;justify-content: flex-start;align-items: normal;flex-wrap: nowrap;gap: 0.5rem'><marimo-ui-element object-id='vblA-0' random-id='41458281-6e92-66c8-b3e6-ba55a94535e5'><marimo-slider data-initial-value='36' data-label='&quot;&#92;u003cspan class=&#92;&quot;markdown prose dark:prose-invert contents&#92;&quot;&#92;u003e&#92;u003cspan class=&#92;&quot;paragraph&#92;&quot;&#92;u003eMass 1 (Suns)&#92;u003c/span&#92;u003e&#92;u003c/span&#92;u003e&quot;' data-start='1.4' data-stop='80' data-step='0.1' data-steps='[]' data-debounce='false' data-disabled='false' data-orientation='&quot;horizontal&quot;' data-show-value='false' data-include-input='false' data-full-width='false'></marimo-slider></marimo-ui-element><marimo-ui-element object-id='vblA-1' random-id='30dcbe59-bfd0-9af7-7dd8-8f5dfdd2c9a7'><marimo-slider data-initial-value='29' data-label='&quot;&#92;u003cspan class=&#92;&quot;markdown prose dark:prose-invert contents&#92;&quot;&#92;u003e&#92;u003cspan class=&#92;&quot;paragraph&#92;&quot;&#92;u003eMass 2 (Suns)&#92;u003c/span&#92;u003e&#92;u003c/span&#92;u003e&quot;' data-start='1.4' data-stop='80' data-step='0.1' data-steps='[]' data-debounce='false' data-disabled='false' data-orientation='&quot;horizontal&quot;' data-show-value='false' 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style='display: flex;flex: 1;flex-direction: column;justify-content: flex-start;align-items: normal;flex-wrap: nowrap;gap: 0.5rem'><marimo-mime-renderer data-mime='&quot;application/vnd.marimo+mimebundle&quot;' data-data='&quot;{&#92;&quot;image/png&#92;&quot;: 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&#92;&quot;, &#92;&quot;__metadata__&#92;&quot;: {&#92;&quot;image/png&#92;&quot;: {&#92;&quot;width&#92;&quot;: 710, &#92;&quot;height&#92;&quot;: 490}}}&quot;'></marimo-mime-renderer><span class=\"markdown prose dark:prose-invert contents\"><span class=\"paragraph\">From 20 Hz, where LIGO starts to hear it, the pair has <strong>0.81 s</strong> and <strong>23 wave cycles</strong> left. The inspiral ends near <strong>68 Hz</strong>, where the orbit can no longer stay stable. The peak strain here is <strong>1.2e-21</strong>: a 4 km detector arm changes length by 4.8e-18 m, about 1/357 of the width of a proton.</span></span></div>"},"type":"data"}]},{"code_hash":"6f9d40052550ca647f447aad7eaccf9a","console":[],"id":"PKri","outputs":[{"data":{"text/html":"<marimo-ui-element object-id='PKri-0' random-id='bb24ac3c-3ee0-00db-07e0-b7cbbe0b8133'><marimo-dropdown data-initial-value='[&quot;real time&quot;]' data-label='&quot;&#92;u003cspan class=&#92;&quot;markdown prose dark:prose-invert contents&#92;&quot;&#92;u003e&#92;u003cspan class=&#92;&quot;paragraph&#92;&quot;&#92;u003ePlayback&#92;u003c/span&#92;u003e&#92;u003c/span&#92;u003e&quot;' data-options='[&quot;real time&quot;,&quot;4 × faster, two octaves higher&quot;]' data-allow-select-none='false' data-searchable='false' data-full-width='false' 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controls></audio><span class=\"markdown prose dark:prose-invert contents\"><span class=\"paragraph\">The sound is the strain itself, scaled to full volume. Heavy pairs chirp low, below what laptop speakers play well; try the faster playback or two neutron stars (1.4 and 1.4 Suns), whose chirp lasts much longer.</span></span></div>"},"type":"data"}]},{"code_hash":"c2155b20fd5c9ca812a94f7203fe9ebd","console":[],"id":"SFPL","outputs":[{"data":{"text/markdown":"<span class=\"markdown prose dark:prose-invert contents\"><hr />\n<span class=\"paragraph\"><strong>Model and limits.</strong> Leading (quadrupole, Newtonian) order in the\norbital speed, circular orbits, a face-on source, and no detector\nresponse. The waveform stops at the innermost stable circular orbit;\nthe merger and ringdown that follow need numerical relativity, and the\nreal GW150914 signal peaked near 150 Hz. Masses here are as measured\nat the source, without the redshift correction.\n<strong>References.</strong> B. P. Abbott et al. (LIGO and Virgo), <em>Phys. Rev. Lett.</em>\n116 (2016) 061102; P. C. Peters and J. Mathews, <em>Phys. Rev.</em> 131 (1963)\n435; M. Maggiore, <em>Gravitational Waves</em>, vol. 1 (2008), ch. 4.\nFork it to add the next post-Newtonian term or a detector's noise curve.</span></span>"},"type":"data"}]}],"metadata":{"marimo_version":"0.25.1","script_metadata_hash":null},"version":"1"},"appConfig":{"sql_output":"auto","width":"medium"},"layout":null,"renderedOn":"browser","formulas":{"||(\\mathcal{M} = (m_1 m_2)^{3/5} / (m_1 + m_2)^{1/5}||)":"<span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"katex-base\"><span class=\"katex-strut\" style=\"height:0.6833em;\"></span><span class=\"mord mathcal\">M</span><span class=\"mspace\" style=\"margin-right:0.2778em;\"></span><span class=\"mrel\">=</span><span class=\"mspace\" style=\"margin-right:0.2778em;\"></span></span><span class=\"katex-base\"><span class=\"katex-strut\" style=\"height:1.138em;vertical-align:-0.25em;\"></span><span class=\"mopen\">(</span><span class=\"mord\"><span class=\"mord mathnormal\">m</span><span class=\"msupsub\"><span class=\"vlist-t vlist-t2\"><span class=\"vlist-r\"><span class=\"vlist\" style=\"height:0.3011em;\"><span style=\"top:-2.55em;margin-left:0em;margin-right:0.05em;\"><span class=\"pstrut\" style=\"height:2.7em;\"></span><span class=\"katex-sizing reset-size6 size3 mtight\"><span class=\"mord mtight\">1</span></span></span></span><span class=\"vlist-s\">​</span></span><span class=\"vlist-r\"><span class=\"vlist\" style=\"height:0.15em;\"><span></span></span></span></span></span></span><span class=\"mord\"><span class=\"mord mathnormal\">m</span><span class=\"msupsub\"><span class=\"vlist-t vlist-t2\"><span class=\"vlist-r\"><span class=\"vlist\" style=\"height:0.3011em;\"><span style=\"top:-2.55em;margin-left:0em;margin-right:0.05em;\"><span class=\"pstrut\" style=\"height:2.7em;\"></span><span class=\"katex-sizing reset-size6 size3 mtight\"><span class=\"mord mtight\">2</span></span></span></span><span class=\"vlist-s\">​</span></span><span class=\"vlist-r\"><span class=\"vlist\" style=\"height:0.15em;\"><span></span></span></span></span></span></span><span class=\"mclose\"><span class=\"mclose\">)</span><span class=\"msupsub\"><span class=\"vlist-t\"><span class=\"vlist-r\"><span class=\"vlist\" style=\"height:0.888em;\"><span style=\"top:-3.063em;margin-right:0.05em;\"><span class=\"pstrut\" style=\"height:2.7em;\"></span><span class=\"katex-sizing reset-size6 size3 mtight\"><span class=\"mord mtight\"><span class=\"mord mtight\">3/5</span></span></span></span></span></span></span></span></span><span class=\"mord\">/</span><span class=\"mopen\">(</span><span class=\"mord\"><span class=\"mord mathnormal\">m</span><span class=\"msupsub\"><span class=\"vlist-t vlist-t2\"><span class=\"vlist-r\"><span class=\"vlist\" style=\"height:0.3011em;\"><span style=\"top:-2.55em;margin-left:0em;margin-right:0.05em;\"><span class=\"pstrut\" style=\"height:2.7em;\"></span><span class=\"katex-sizing reset-size6 size3 mtight\"><span class=\"mord mtight\">1</span></span></span></span><span class=\"vlist-s\">​</span></span><span class=\"vlist-r\"><span class=\"vlist\" style=\"height:0.15em;\"><span></span></span></span></span></span></span><span class=\"mspace\" style=\"margin-right:0.2222em;\"></span><span class=\"mbin\">+</span><span class=\"mspace\" style=\"margin-right:0.2222em;\"></span></span><span class=\"katex-base\"><span class=\"katex-strut\" style=\"height:1.138em;vertical-align:-0.25em;\"></span><span class=\"mord\"><span class=\"mord mathnormal\">m</span><span class=\"msupsub\"><span class=\"vlist-t vlist-t2\"><span class=\"vlist-r\"><span class=\"vlist\" style=\"height:0.3011em;\"><span style=\"top:-2.55em;margin-left:0em;margin-right:0.05em;\"><span class=\"pstrut\" style=\"height:2.7em;\"></span><span class=\"katex-sizing reset-size6 size3 mtight\"><span class=\"mord mtight\">2</span></span></span></span><span class=\"vlist-s\">​</span></span><span class=\"vlist-r\"><span class=\"vlist\" style=\"height:0.15em;\"><span></span></span></span></span></span></span><span class=\"mclose\"><span class=\"mclose\">)</span><span class=\"msupsub\"><span class=\"vlist-t\"><span class=\"vlist-r\"><span class=\"vlist\" style=\"height:0.888em;\"><span style=\"top:-3.063em;margin-right:0.05em;\"><span class=\"pstrut\" style=\"height:2.7em;\"></span><span class=\"katex-sizing reset-size6 size3 mtight\"><span class=\"mord mtight\"><span class=\"mord mtight\">1/5</span></span></span></span></span></span></span></span></span></span></span></span>","||(\\tau||)":"<span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"katex-base\"><span class=\"katex-strut\" style=\"height:0.4306em;\"></span><span class=\"mord mathnormal\" style=\"margin-right:0.1132em;\">τ</span></span></span></span>","||[f(\\tau) = \\frac{1}{\\pi}\\left(\\frac{5}{256\\,\\tau}\\right)^{3/8}\n\\left(\\frac{G\\mathcal{M}}{c^3}\\right)^{-5/8}.||]":"<span class=\"katex-display\"><span class=\"katex\"><span class=\"katex-html\" aria-hidden=\"true\"><span class=\"katex-base\"><span class=\"katex-strut\" style=\"height:1em;vertical-align:-0.25em;\"></span><span class=\"mord mathnormal\" style=\"margin-right:0.1076em;\">f</span><span class=\"mopen\">(</span><span class=\"mord mathnormal\" style=\"margin-right:0.1132em;\">τ</span><span class=\"mclose\">)</span><span class=\"mspace\" style=\"margin-right:0.2778em;\"></span><span class=\"mrel\">=</span><span class=\"mspace\" style=\"margin-right:0.2778em;\"></span></span><span class=\"katex-base\"><span class=\"katex-strut\" style=\"height:2.6779em;vertical-align:-0.95em;\"></span><span class=\"mord\"><span class=\"mopen nulldelimiter\"></span><span class=\"mfrac\"><span class=\"vlist-t vlist-t2\"><span class=\"vlist-r\"><span class=\"vlist\" style=\"height:1.3214em;\"><span style=\"top:-2.314em;\"><span class=\"pstrut\" style=\"height:3em;\"></span><span class=\"mord\"><span class=\"mord mathnormal\" style=\"margin-right:0.0359em;\">π</span></span></span><span style=\"top:-3.23em;\"><span class=\"pstrut\" style=\"height:3em;\"></span><span class=\"frac-line\" style=\"border-bottom-width:0.04em;\"></span></span><span style=\"top:-3.677em;\"><span class=\"pstrut\" style=\"height:3em;\"></span><span class=\"mord\"><span class=\"mord\">1</span></span></span></span><span class=\"vlist-s\">​</span></span><span class=\"vlist-r\"><span class=\"vlist\" style=\"height:0.686em;\"><span></span></span></span></span></span><span class=\"mclose nulldelimiter\"></span></span><span class=\"mspace\" style=\"margin-right:0.1667em;\"></span><span class=\"minner\"><span class=\"minner\"><span class=\"mopen delimcenter\" style=\"top:0em;\"><span class=\"delimsizing size3\">(</span></span><span class=\"mord\"><span class=\"mopen nulldelimiter\"></span><span class=\"mfrac\"><span class=\"vlist-t vlist-t2\"><span class=\"vlist-r\"><span class=\"vlist\" style=\"height:1.3214em;\"><span style=\"top:-2.314em;\"><span class=\"pstrut\" style=\"height:3em;\"></span><span class=\"mord\"><span class=\"mord\">256</span><span class=\"mspace\" style=\"margin-right:0.1667em;\"></span><span class=\"mord mathnormal\" style=\"margin-right:0.1132em;\">τ</span></span></span><span style=\"top:-3.23em;\"><span class=\"pstrut\" style=\"height:3em;\"></span><span class=\"frac-line\" style=\"border-bottom-width:0.04em;\"></span></span><span style=\"top:-3.677em;\"><span class=\"pstrut\" style=\"height:3em;\"></span><span class=\"mord\"><span class=\"mord\">5</span></span></span></span><span class=\"vlist-s\">​</span></span><span class=\"vlist-r\"><span class=\"vlist\" style=\"height:0.686em;\"><span></span></span></span></span></span><span class=\"mclose nulldelimiter\"></span></span><span class=\"mclose delimcenter\" style=\"top:0em;\"><span class=\"delimsizing size3\">)</span></span></span><span class=\"msupsub\"><span class=\"vlist-t\"><span class=\"vlist-r\"><span class=\"vlist\" style=\"height:1.7279em;\"><span style=\"top:-3.9029em;margin-right:0.05em;\"><span class=\"pstrut\" style=\"height:2.7em;\"></span><span class=\"katex-sizing reset-size6 size3 mtight\"><span class=\"mord mtight\"><span class=\"mord mtight\">3/8</span></span></span></span></span></span></span></span></span><span class=\"mspace\" style=\"margin-right:0.1667em;\"></span><span class=\"minner\"><span class=\"minner\"><span class=\"mopen delimcenter\" style=\"top:0em;\"><span class=\"delimsizing size3\">(</span></span><span class=\"mord\"><span class=\"mopen nulldelimiter\"></span><span class=\"mfrac\"><span class=\"vlist-t vlist-t2\"><span class=\"vlist-r\"><span class=\"vlist\" style=\"height:1.3603em;\"><span style=\"top:-2.314em;\"><span class=\"pstrut\" style=\"height:3em;\"></span><span class=\"mord\"><span class=\"mord\"><span class=\"mord mathnormal\">c</span><span class=\"msupsub\"><span class=\"vlist-t\"><span class=\"vlist-r\"><span class=\"vlist\" style=\"height:0.7401em;\"><span style=\"top:-2.989em;margin-right:0.05em;\"><span class=\"pstrut\" style=\"height:2.7em;\"></span><span class=\"katex-sizing reset-size6 size3 mtight\"><span class=\"mord mtight\">3</span></span></span></span></span></span></span></span></span></span><span style=\"top:-3.23em;\"><span class=\"pstrut\" style=\"height:3em;\"></span><span class=\"frac-line\" style=\"border-bottom-width:0.04em;\"></span></span><span style=\"top:-3.677em;\"><span class=\"pstrut\" style=\"height:3em;\"></span><span class=\"mord\"><span class=\"mord mathnormal\">G</span><span class=\"mord mathcal\">M</span></span></span></span><span class=\"vlist-s\">​</span></span><span class=\"vlist-r\"><span class=\"vlist\" style=\"height:0.686em;\"><span></span></span></span></span></span><span class=\"mclose nulldelimiter\"></span></span><span class=\"mclose delimcenter\" style=\"top:0em;\"><span class=\"delimsizing size3\">)</span></span></span><span class=\"msupsub\"><span class=\"vlist-t\"><span class=\"vlist-r\"><span class=\"vlist\" style=\"height:1.7279em;\"><span style=\"top:-3.9029em;margin-right:0.05em;\"><span class=\"pstrut\" style=\"height:2.7em;\"></span><span class=\"katex-sizing reset-size6 size3 mtight\"><span class=\"mord mtight\"><span class=\"mord mtight\">−</span><span class=\"mord mtight\">5/8</span></span></span></span></span></span></span></span></span><span class=\"mspace\" style=\"margin-right:0.1667em;\"></span><span class=\"mord\">.</span></span></span></span></span>"}},"discussions":{"cells":{},"newHref":"/sciencehub-team/gravitational-waves/discussions/new?notebook=gravitational-waves&version=ver_01M4SH2BM7GZKD1N7GWVT91941","listHref":"/sciencehub-team/gravitational-waves/discussions?notebook=gravitational-waves&version=ver_01M4SH2BM7GZKD1N7GWVT91941"}}