<?xml version="1.0" encoding="UTF-8"?>
<data_container_examples>
    <!-- samples of various data containers currently implemented in GND.

       Start with simple example: 1-D list of x,y pairs, used to store cross section and multpilicity.
       This is called an 'XYs' dataset. It is shown here used inside a cross section element.
       Note that I'm using '...' rather than printing all 113 x-y pairs:
       -->
    <crossSection nativeData="pointwise">
      <pointwise xData="XYs" length="113" accuracy="0.001">
        <axes>
          <axis index="0" label="energy_in" unit="eV" interpolation="log,log" frame="lab"/>
          <axis index="1" label="crossSection" unit="b" frame="lab"/></axes>
        <data> 1e-5 3.31 1e-4 3.31 1e-3 3.31 ... 1.9e7 0.745 2e7 0.713</data></pointwise></crossSection>

    <!-- the example above uses the same interpolation throughout. To use multiple interpolations, use the
         'regionsXYs' container instead, specifying interpolation for each region: -->
    <crossSection nativeData="piecewise">
      <piecewise xData="regionsXYs">
        <axes>
          <axis index="0" label="energy_in" unit="eV" interpolation="byRegion,byRegion" frame="lab"/>
          <axis index="1" label="crossSection" unit="b" frame="lab"/></axes>
        <region index="0" length="30" accuracy="0.001">
          <interpolationAxes index="0" interpolation="log,log"/>
          <data> 1e-5 37.13628 2e-5 32.24498 ... 8e3 19.42096 1e4 19.18468</data></region>
        <region index="1" length="67" accuracy="0.001">
          <interpolationAxes index="0" interpolation="linear,linear"/>
          <data> 1e4 19.18468 1.5e4 18.62195 ... 1.95e7 0.4954905 2e7 0.4827735</data></region></piecewise></crossSection>


    <!-- now on to 2-D containers. The simplest are implemented as nested XYs, or "W_XYs":
         each 'W' value (usually incident energy) has an XYs list, usually describing the outgoing distribution
         for that incident energy: -->
    <distributions nativeData="angular">
      <angular nativeData="pointwise">
        <pointwise xData="W_XYs">
          <axes>
            <axis index="0" label="energy_in" unit="eV" interpolation="linear,linear" frame="lab"/>
            <axis index="1" label="mu" unit="" interpolation="linear,linear" frame="centerOfMass"/>
            <axis index="2" label="P(mu|energy_in)" unit="" frame="centerOfMass"/></axes>
          <energy_in value="1e-05" index="0" length="2" accuracy="0.001"> -1 0.5 1 0.5</energy_in>
          <energy_in value="100.0" index="1" length="41" accuracy="0.001"> -1 0.5000872 -0.95 0.5000829 -0.9 0.5000785 -0.85 0.5000742 -0.8 0.5000698 -0.75 0.5000654 -0.7 0.5000611 -0.65 0.5000567 -0.6 0.5000523 -0.55 0.500048 -0.5 0.5000436 -0.45 0.5000393 -0.4 0.5000349 -0.35 0.5000305 -0.3 0.5000262 -0.25 0.5000218 -0.2 0.5000174 -0.15 0.5000131 -0.1 0.5000087 -5e-2 0.5000044 0 0.5 5e-2 0.4999956 0.1 0.4999913 0.15 0.4999869 0.2 0.4999826 0.25 0.4999782 0.3 0.4999738 0.35 0.4999695 0.4 0.4999651 0.45 0.4999607 0.5 0.4999564 0.55 0.499952 0.6 0.4999477 0.65 0.4999433 0.7 0.4999389 0.75 0.4999346 0.8 0.4999302 0.85 0.4999259 0.9 0.4999215 0.95 0.4999171 1 0.4999128</energy_in>
          <energy_in value="1000.0" index="2" length="41" accuracy="0.001"> -1 0.5008725 -0.95 0.5008288 -0.9 0.5007852 -0.85 0.5007415 -0.8 0.5006979 -0.75 0.5006542 -0.7 0.5006106 -0.65 0.500567 -0.6 0.5005233 -0.55 0.5004797 -0.5 0.500436 -0.45 0.5003924 -0.4 0.5003488 -0.35 0.5003052 -0.3 0.5002615 -0.25 0.5002179 -0.2 0.5001743 -0.15 0.5001307 -0.1 0.5000871 -5e-2 0.5000435 0 0.4999998 5e-2 0.4999562 0.1 0.4999126 0.15 0.499869 0.2 0.4998254 0.25 0.4997818 0.3 0.4997382 0.35 0.4996946 0.4 0.499651 0.45 0.4996075 0.5 0.4995639 0.55 0.4995203 0.6 0.4994767 0.65 0.4994331 0.7 0.4993896 0.75 0.499346 0.8 0.4993024 0.85 0.4992588 0.9 0.4992153 0.95 0.4991717 1 0.4991281</energy_in>
          ...
          <energy_in value="12170000.0" index="21" length="21" accuracy="0.001"> -1 1.2468 -0.9 0.6147 -0.8 0.3074 -0.7 0.1706 -0.6 0.1126 -0.5 0.1048 -0.4 0.1281 -0.3 0.1619 -0.2 0.2009 -0.1 0.2511 0 0.3074 0.1 0.368 0.2 0.4372 0.3 0.5108 0.4 0.5887 0.5 0.6753 0.6 0.7749 0.7 0.8831 0.8 1.0043 0.9 1.1342 1 1.2814</energy_in>
          <energy_in value="14170000.0" index="22" length="21" accuracy="0.001"> -1 1.2315 -0.9 0.5419 -0.8 0.2394 -0.7 0.1212 -0.6 0.0837 -0.5 0.0897 -0.4 0.1113 -0.3 0.1429 -0.2 0.1852 -0.1 0.2335 0 0.2877 0.1 0.3478 0.2 0.4187 0.3 0.4926 0.4 0.5862 0.5 0.6897 0.6 0.803 0.7 0.936 0.8 1.0837 0.9 1.2611 1 1.4581</energy_in>
          <energy_in value="20000000.0" index="23" length="21" accuracy="0.001"> -1 0.9204 -0.9 0.3585 -0.8 0.1437 -0.7 0.0565 -0.6 0.0409 -0.5 0.0654 -0.4 0.0985 -0.3 0.134 -0.2 0.1728 -0.1 0.218 0 0.2664 0.1 0.3262 0.2 0.3924 0.3 0.4764 0.4 0.5765 0.5 0.6992 0.6 0.8478 0.7 1.0254 0.8 1.2434 0.9 1.5017 1 1.7924</energy_in></pointwise></angular></distributions>

    <!-- multiple interpolation regions are more complicated here, since we could have multiple regions along
         the 'W' direction, or along 'X', or both. In practice, however, the ENDF-6 formatted libraries make
         limited use of multiple interpolations. We do have an example where only the incident energy ('W') uses
         multiple interpolations: -->

    <distributions nativeData="angular">
      <angular nativeData="LegendrePiecewise">
        <LegendrePiecewise xData="regionsW_XYs_LegendreSeries">
          <axes>
            <axis index="0" label="energy_in" unit="eV" interpolation="byRegion,byRegion" frame="lab"/>
            <axis index="1" label="C_l" unit="" frame="centerOfMass"/></axes>
          <region index="0">
            <interpolationAxes index="0" interpolation="log,linear"/>
            <energy_in value="1e-05" index="0" length="3"> 1 0 0</energy_in>
            ...
            <energy_in value="7000.0" index="54" length="3"> 1 0 0</energy_in>
            <energy_in value="10000.0" index="55" length="5"> 1 0.015002 2.1475e-4 -2.3981e-7 7.8654e-10</energy_in>
            <energy_in value="20000.0" index="56" length="5"> 1 0.034736 9.7857e-4 -2.2144e-6 1.4664e-8</energy_in></region>
          <region index="1">
            <interpolationAxes index="0" interpolation="linear,linear"/>
            <energy_in value="20000.0" index="0" length="5"> 1 0.034736 9.7857e-4 -2.2144e-6 1.4664e-8</energy_in>
            <energy_in value="40000.0" index="1" length="5"> 1 0.074353 4.0531e-3 -1.8755e-5 2.5167e-7</energy_in>
            ...
            <energy_in value="19750000.0" index="97" length="21"> 1 0.87022 0.78369 0.71123 0.64987 0.57611 0.4994 0.41596 0.33437 0.25737 0.18854 0.14131 0.10623 0.073176 0.038181 0.015867 5.7091e-3 1.9568e-3 7.2482e-4 2.9898e-4 1.2912e-4</energy_in>
            <energy_in value="20000000.0" index="98" length="21"> 1 0.8693 0.782 0.70953 0.64858 0.57618 0.50056 0.41822 0.33735 0.26103 0.19258 0.14498 0.10993 0.076872 0.041001 0.017365 6.3176e-3 2.1642e-3 7.9434e-4 3.2594e-4 1.4136e-4</energy_in></region></LegendrePiecewise></angular></distributions>

    <!-- and another example where the outgoing interpolation varies with incident energy. We call this 'semiPiecewise': -->
    <distributions nativeData="energy">
      <energy nativeData="semiPiecewise">
        <semiPiecewise>
          <axes>
            <axis index="0" label="energy_in" unit="eV" interpolation="linear,linear" frame="lab"/>
            <axis index="1" label="energy_out" unit="eV" interpolation="byRegion,byRegion" frame="lab"/>
            <axis index="2" label="P(energy_out|energy_in)" unit="1/eV" frame="lab"/></axes>
          <energy_in value="10459100." index="0">
            <regions>
              <region index="0" length="3" accuracy="0.001">
                <interpolationAxes index="1" interpolation="linear,linear"/>
                <data> 7.5e-3 0 149300 0 149400 2e-2</data></region></regions></energy_in>
          <energy_in value="1.1e+07" index="1">
            <regions>
              <region index="0" length="33" accuracy="0.001">
                <interpolationAxes index="1" interpolation="linear,flat"/>
                <data> 7.5e-3 0 0.0133371 3.95235e-13 0.0237171 7.02835e-13 0.0421756 1.24983e-12 0.0749999 2.22257e-12 0.133371 3.95234e-12 0.237171 7.02835e-12 0.421756 1.24983e-11 0.75 2.22256e-11 1.33371 3.9523e-11 2.37171 7.02827e-11 4.21756 1.24981e-10 7.49999 2.22247e-10 13.3371 3.95204e-10 23.717 7.02743e-10 42.1755 1.24954e-9 74.9999 2.22163e-9 133.371 3.9494e-9 237.17 7.0191e-9 421.755 1.24691e-8 749.998 2.21332e-8 1333.71 3.92316e-8 2371.7 6.93633e-8 4217.55 1.22089e-7 7499.98 2.13184e-7 13337.1 3.67002e-7 23717 6.16056e-7 42175.5 9.88726e-7 74999.8 1.46509e-6 133370 1.88368e-6 237170 1.88157e-6 421755 1.19972e-6 690300 0</data></region></regions></energy_in>
          ...
    </semiPiecewise></energy></distributions>


    <!-- 3-D data container used for double-differential distribution. At the moment, I don't see any
        examples in ENDF using multiple interpolation regions. -->
    <distributions nativeData="angularEnergy">
      <angularEnergy nativeData="pointwise">
        <pointwise xData="V_W_XYs">
          <axes>
            <axis index="0" label="energy_in" unit="eV" interpolation="linear,linear" frame="lab"/>
            <axis index="1" label="mu" unit="" interpolation="linear,linear" frame="lab"/>
            <axis index="2" label="energy_out" unit="eV" interpolation="linear,linear" frame="lab"/>
            <axis index="3" label="P(mu,energy_out|energy_in)" unit="1/eV" frame="lab"/></axes>
          <energy_in value="1748830.0" index="0">
            <mu value="-1.0" index="0" length="15" accuracy="0.001"> 1092.99 0 1093 7.40674e-7 3278.9 1.16614e-6 7650.8 1.46654e-6 12023 1.58588e-6 20766 1.61094e-6 29510 1.54624e-6 55741 1.07195e-6 71043 7.0971e-7 81973 4.02172e-7 90716 1.79581e-7 95088 9.52648e-8 99460 2.86776e-8 101650 4.69275e-9 101651 0</mu>
            <mu value="-0.9" index="1" length="17" accuracy="0.001"> 1092.99 0 1093 7.38646e-7 3278.9 1.15311e-6 5464.8 1.39486e-6 7650.8 1.48836e-6 15302 1.63758e-6 19673 1.66334e-6 40440 1.43782e-6 62299 1.00592e-6 77601 6.50788e-7 88530 3.63248e-7 97274 1.54451e-7 101650 7.13801e-8 103830 4.29192e-8 106020 1.71928e-8 108200 2.30254e-9 108201 0</mu>
            ...
            <mu value="0.9" index="19" length="26" accuracy="0.001"> 1092.99 0 1093 1.19615e-6 2185.9 1.80882e-6 4371.8 2.86755e-6 8743.703 4.52946e-6 17487 6.76058e-6 30603 8.18593e-6 40440 8.46161e-6 42626 8.45504e-6 44812 8.46332e-6 66671 7.90112e-6 88530 6.83939e-6 125690 5.51196e-6 175970 4.08775e-6 254660 2.08907e-6 315870 4.25536e-7 322430 2.77846e-7 326800 1.95315e-7 333350 9.74306e-8 335540 7.2534e-8 339910 3.61364e-8 342100 2.45039e-8 344280 1.00631e-8 346470 2.7445e-9 348660 1.82966e-9 348661 0</mu>
            <mu value="1.0" index="20" length="23" accuracy="0.001"> 1092.99 0 1093 1.15308e-6 2185.9 1.85982e-6 4371.8 3.02158e-6 8743.703 4.86601e-6 13116 6.54048e-6 17487 7.75918e-6 26231 9.33352e-6 33882 9.73137e-6 38254 9.64232e-6 44812 9.7782e-6 57927 9.50298e-6 106020 6.9744e-6 160670 5.01826e-6 278710 1.89656e-6 328980 4.98732e-7 342100 2.07413e-7 346470 1.34149e-7 350840 7.2996e-8 355210 2.45924e-8 357400 1.09295e-8 359590 1.82158e-9 359591 0</mu></energy_in>
          <energy_in value="2010000.0" index="1">
            <mu value="-1.0" index="0" length="15" accuracy="0.001"> 1092.99 0 1093 7.40674e-7 3278.9 1.16614e-6 7650.8 1.46654e-6 12023 1.58588e-6 20766 1.61094e-6 29510 1.54624e-6 55741 1.07195e-6 71043 7.0971e-7 81973 4.02172e-7 90716 1.79581e-7 95088 9.52648e-8 99460 2.86776e-8 101650 4.69275e-9 101651 0</mu>
            <mu value="-0.9" index="1" length="17" accuracy="0.001"> 1092.99 0 1093 7.38646e-7 3278.9 1.15311e-6 5464.8 1.39486e-6 7650.8 1.48836e-6 15302 1.63758e-6 19673 1.66334e-6 40440 1.43782e-6 62299 1.00592e-6 77601 6.50788e-7 88530 3.63248e-7 97274 1.54451e-7 101650 7.13801e-8 103830 4.29192e-8 106020 1.71928e-8 108200 2.30254e-9 108201 0</mu>
            ...
            <mu value="0.9" index="19" length="26" accuracy="0.001"> 1092.99 0 1093 1.19615e-6 2185.9 1.80882e-6 4371.8 2.86755e-6 8743.703 4.52946e-6 17487 6.76058e-6 30603 8.18593e-6 40440 8.46161e-6 42626 8.45504e-6 44812 8.46332e-6 66671 7.90112e-6 88530 6.83939e-6 125690 5.51196e-6 175970 4.08775e-6 254660 2.08907e-6 315870 4.25536e-7 322430 2.77846e-7 326800 1.95315e-7 333350 9.74306e-8 335540 7.2534e-8 339910 3.61364e-8 342100 2.45039e-8 344280 1.00631e-8 346470 2.7445e-9 348660 1.82966e-9 348661 0</mu>
            <mu value="1.0" index="20" length="23" accuracy="0.001"> 1092.99 0 1093 1.15308e-6 2185.9 1.85982e-6 4371.8 3.02158e-6 8743.703 4.86601e-6 13116 6.54048e-6 17487 7.75918e-6 26231 9.33352e-6 33882 9.73137e-6 38254 9.64232e-6 44812 9.7782e-6 57927 9.50298e-6 106020 6.9744e-6 160670 5.01826e-6 278710 1.89656e-6 328980 4.98732e-7 342100 2.07413e-7 346470 1.34149e-7 350840 7.2996e-8 355210 2.45924e-8 357400 1.09295e-8 359590 1.82158e-9 359591 0</mu></energy_in>
          ...
          <energy_in value="20000000.0" index="17">
            <mu value="-1.0" index="0" length="76" accuracy="0.001"> 46067.9 0 46068 3.83714e-8 92134 4.39305e-8 184270 4.97766e-8 276410 4.80682e-8 368540 4.38554e-8 644950 2.69592e-8 737090 2.25545e-8 1105600 2.00033e-8 1.336e6 2.32448e-8 1520200 2.47157e-8 1704500 3.12716e-8 1796700 3.69726e-8 1888800 4.55983e-8 1980900 6.29424e-8 2073100 9.30325e-8 2165200 1.3284e-7 2257300 1.56395e-7 2349500 1.32258e-7 2441600 9.37592e-8 2533700 6.42311e-8 2625900 4.64902e-8 2.718e6 3.4141e-8 2810100 2.69493e-8 2994400 1.747e-8 3086600 1.72702e-8 3270800 1.44735e-8 3455100 1.40256e-8 3639400 1.52726e-8 3731500 1.66952e-8 4007900 2.35231e-8 4.1e6 2.48124e-8 4376500 2.13622e-8 4468600 2.11806e-8 4837100 2.46251e-8 5205700 3.05101e-8 5666400 3.4752e-8 5758500 3.41295e-8 5850600 3.46737e-8 5942800 3.44855e-8 6034900 3.47459e-8 6219200 3.35964e-8 6311300 3.37645e-8 6495600 3.2919e-8 6.772e6 2.89534e-8 7048400 2.76637e-8 7416900 2.40197e-8 7785500 1.75667e-8 8061900 1.19492e-8 8430400 7.48199e-9 8614700 5.55096e-9 8.799e6 4.29201e-9 8891100 3.85596e-9 8983300 3.15985e-9 9259700 2.23368e-9 9351800 2.12472e-9 9628200 1.5557e-9 9720300 1.27119e-9 9904600 1.24093e-9 1.0089e7 1.01696e-9 1.0181e7 7.99045e-10 1.0273e7 7.74809e-10 1.0365e7 6.77953e-10 1.0457e7 6.59798e-10 1.0642e7 5.08481e-10 1.0734e7 6.53749e-10 1.0918e7 8.02314e-8 1.101e7 1.76698e-8 1.1102e7 3.63213e-10 1.1195e7 3.99522e-10 1.1241e7 4.81232e-10 1.1333e7 5.08481e-10 1.1425e7 3.99494e-10 1.1609e7 6.35591e-11 1.1655e7 1.816e-11 11655100 0</mu>
            <mu value="-0.9" index="1" length="75" accuracy="0.001"> 46067.9 0 46068 3.88276e-8 92134 4.51739e-8 184270 5.19367e-8 368540 4.80362e-8 737090 2.44499e-8 829220 2.26363e-8 1013500 2.14075e-8 1.336e6 2.23305e-8 1428100 2.34232e-8 1520200 2.58264e-8 1612400 2.65367e-8 1796700 3.3626e-8 1888800 4.01613e-8 1980900 5.12151e-8 2073100 7.05965e-8 2165200 1.00236e-7 2257300 1.35633e-7 2349500 1.55559e-7 2441600 1.34519e-7 2533700 9.54633e-8 2625900 6.64121e-8 2.718e6 4.56233e-8 2810100 3.55601e-8 2902300 2.79133e-8 2994400 2.25053e-8 3086600 1.92606e-8 3270800 1.55317e-8 3.363e6 1.4439e-8 3547200 1.40312e-8 3823600 1.65294e-8 3915800 1.83176e-8 4.1e6 2.34885e-8 4192200 2.48796e-8 4284300 2.45812e-8 4468600 2.12162e-8 4652900 2.02365e-8 5758500 3.30051e-8 5942800 3.22747e-8 6.127e6 3.25553e-8 6219200 3.21238e-8 6403400 3.21534e-8 7140500 2.57102e-8 7601200 2.29935e-8 7785500 2.05716e-8 8246200 1.18136e-8 8338300 1.04589e-8 8522600 7.88058e-9 8.799e6 5.50979e-9 8983300 4.24976e-9 9167500 3.36466e-9 9536100 2.13037e-9 9720300 1.68609e-9 9812500 1.61689e-9 9904600 1.39111e-9 9996700 1.32555e-9 1.0089e7 1.13984e-9 1.0273e7 1.08886e-9 1.0365e7 9.17698e-10 1.055e7 7.72028e-10 1.0642e7 7.64753e-10 1.0734e7 6.11809e-10 1.0826e7 7.75666e-10 1.0918e7 7.53812e-10 1.101e7 3.84019e-8 1.1102e7 4.97513e-8 1.1195e7 4.96982e-8 1.1287e7 6.87187e-9 1.1379e7 3.49597e-10 1.1517e7 4.53394e-10 1.1609e7 4.58864e-10 1.1701e7 3.11362e-10 1.1793e7 1.36562e-10 1.1839e7 9.8326e-11 11839100 0</mu>
            ...
            <mu value="0.9" index="19" length="80" accuracy="0.001"> 46067.9 0 46068 6.65201e-8 92134 9.11905e-8 184270 1.27345e-7 368540 1.55062e-7 552810 1.69276e-7 644950 1.64432e-7 1105600 1.0695e-7 1474200 8.06685e-8 1842800 6.45114e-8 2395600 4.93727e-8 2.764e6 4.34908e-8 3685400 4.81487e-8 4284300 5.43737e-8 4560700 6.12852e-8 4.745e6 7.22664e-8 4929300 9.27382e-8 5021400 1.10121e-7 5113500 1.3607e-7 5.39e6 2.31153e-7 5482100 2.40644e-7 5666400 1.87455e-7 5850600 1.15656e-7 6034900 7.30285e-8 6.127e6 6.11215e-8 6311300 4.5779e-8 6495600 3.64521e-8 6679900 3.04159e-8 6864100 2.67445e-8 7048400 2.46293e-8 7324800 2.34174e-8 7693400 2.65922e-8 7969800 3.33727e-8 8.154e6 3.53646e-8 8706800 2.64182e-8 8891100 2.56561e-8 9259700 2.7934e-8 1.0273e7 3.88684e-8 1.1102e7 4.11614e-8 1.1379e7 4.01561e-8 1.1471e7 4.01561e-8 1.2761e7 3.08797e-8 1.3129e7 2.43787e-8 1.3498e7 1.65648e-8 1.3774e7 1.26429e-8 1.4235e7 7.37177e-9 1.4419e7 5.97507e-9 1.4696e7 4.6255e-9 1.488e7 4.04862e-9 1.4972e7 3.45005e-9 1.5064e7 3.4392e-9 1.5156e7 2.6882e-9 1.5248e7 2.30733e-9 1.5341e7 2.29639e-9 1.5433e7 2.0352e-9 1.5525e7 2.05699e-9 1.5801e7 1.53454e-9 1.5893e7 1.26251e-9 1.5986e7 1.48011e-9 1.6078e7 1.33863e-9 1.617e7 1.34957e-9 1.6262e7 1.30599e-9 1.6354e7 9.68605e-10 1.6446e7 9.46911e-10 1.6631e7 1.15366e-9 1.6723e7 9.0333e-10 1.6815e7 1.0666e-9 1.6907e7 4.41547e-8 1.6999e7 2.71598e-7 1.7275e7 2.90505e-7 1.7368e7 9.78232e-8 1.746e7 7.72731e-10 1.7552e7 5.55062e-10 1.7644e7 6.53007e-10 1.7736e7 6.53007e-10 1.7828e7 3.80923e-10 1.792e7 2.39439e-10 1.8013e7 1.19715e-10 1.8105e7 4.35338e-11 18105100 0</mu>
            <mu value="1.0" index="20" length="91" accuracy="0.001"> 46067.9 0 46068 6.6604e-8 92134 9.1417e-8 184270 1.29085e-7 276410 1.46954e-7 644950 1.7361e-7 737090 1.70725e-7 1013500 1.26109e-7 1.382e6 9.11568e-8 1566300 8.07626e-8 1842800 6.83777e-8 1934800 6.7856e-8 2487600 5.20428e-8 2948300 4.63724e-8 3132600 4.61767e-8 3224800 4.70474e-8 3316900 4.65359e-8 3777500 5.05727e-8 3869700 5.01822e-8 4.1e6 5.09329e-8 4376500 5.52421e-8 4468600 5.8943e-8 4560700 5.91599e-8 4929300 7.2242e-8 5113500 9.32897e-8 5297800 1.34453e-7 5574200 2.37123e-7 5666400 2.52682e-7 5850600 1.98572e-7 5942800 1.53693e-7 6034900 1.18774e-7 6.127e6 9.69895e-8 6311300 6.58351e-8 6403400 5.52643e-8 6587700 4.23356e-8 6.772e6 3.36354e-8 7140500 2.65909e-8 7324800 2.49585e-8 7601200 2.45952e-8 7877600 2.77078e-8 8246200 3.69377e-8 8338300 3.80113e-8 8430400 3.80031e-8 8706800 3.14591e-8 9075400 2.91376e-8 9351800 3.08063e-8 9996700 4.05861e-8 1.0826e7 4.60788e-8 1.101e7 4.55421e-8 1.1287e7 4.62453e-8 1.1379e7 4.62453e-8 1.2024e7 4.27917e-8 1.23e7 3.91928e-8 1.2484e7 3.87144e-8 1.2761e7 3.38392e-8 1.2945e7 3.33893e-8 1.3314e7 2.74758e-8 1.3774e7 1.76012e-8 1.4235e7 1.0927e-8 1.4419e7 9.06927e-9 1.4696e7 7.20452e-9 1.4972e7 4.94821e-9 1.5156e7 4.25889e-9 1.5341e7 3.17063e-9 1.5525e7 2.59018e-9 1.5617e7 2.47405e-9 1.5801e7 1.93719e-9 1.617e7 1.71229e-9 1.6354e7 1.45107e-9 1.6446e7 1.24071e-9 1.6538e7 1.21165e-9 1.6631e7 1.2842e-9 1.6723e7 1.06656e-9 1.6907e7 9.35944e-10 1.6999e7 1.02298e-9 1.7091e7 9.57707e-10 1.7183e7 1.13184e-9 1.7275e7 1.54541e-9 1.7368e7 4.02481e-7 1.746e7 6.03858e-7 1.7552e7 3.73706e-7 1.7644e7 1.52362e-9 1.7736e7 1.02298e-9 1.7828e7 1.11005e-9 1.792e7 5.87684e-10 1.8013e7 4.78859e-10 1.8105e7 7.18283e-10 1.8197e7 3.48259e-10 1.8289e7 1.52362e-10 1.8381e7 2.17661e-11 18381100 0</mu></energy_in></pointwise></angularEnergy></distributions>


    <!-- the remaining containers are used for storing uniform grids: table and matrix. The table is used for
         resonance parameters only right now. It requires a description of each column: -->
    <resonanceParameters>
      <table rows="187" columns="6">
        <columnHeaders>
          <column index="0" name="energy" units="eV"/>
          <column index="1" name="L"/>
          <column index="2" name="J"/>
          <column index="3" name="channelSpin"/>
          <column index="4" name="neutronWidth" units="eV"/>
          <column index="5" name="captureWidth" units="eV"/></columnHeaders>
        <data>
     <!--   energy | L |   J | channelSpin | neutronWidth | captureWidth  -->
          -110000.0   0   2.0           2.0       26286.24            1.0
          -100000.0   0   3.0           3.0       65984.88            1.0
          -759.8076   0   2.0           2.0       33.22168      0.4531165
           340.7875   0   2.0           2.0       23.67655      0.4096677
           1098.439   0   3.0           3.0       15.27089      0.3965884
           ...
           203847.9   0   3.0           3.0         3115.0           0.75
           208163.1   0   2.0           2.0         2572.0           0.75
           300000.0   0   3.0           3.0       167307.5            1.0
           310000.0   0   2.0           2.0       92035.25            1.0</data></table></resonanceParameters>


    <!-- matrix examples: currently used for covariances. They include support for symmetric, sparse matrices -->
    <covarianceMatrix index="1" type="relative">
      <axes>
        <axis index="0" label="row_energy_bounds" unit="eV" interpolation="linear,flat" length="7"> 1e-5 1.4e6 2e6 4e6 8e6 1.6e7 6e7</axis>
        <axis index="1" label="column_energy_bounds" unit="eV" interpolation="linear,flat" mirror_row_energy_bounds="true"/>
        <axis index="2" label="matrix_elements" unit=""/></axes>
      <matrix rows="6" columns="6" form="symmetric" precision="6">
         3.671000e-05
         2.846000e-05  2.407000e-05
         1.920000e-05  1.914000e-05  1.907000e-05
         2.493000e-06  1.024000e-05  1.894000e-05  3.463000e-05
        -1.924000e-05 -1.325000e-06  1.877000e-05  5.504000e-05  1.022000e-04
        -3.276000e-05 -8.521000e-06  1.866000e-05  6.774000e-05  1.316000e-04  1.713000e-04</matrix></covarianceMatrix>
     
    <!-- For the sparse matrix, only need to list non-zero elements.
         Each row of the data follows the format x,y,n, data:
          row index 'x', column index 'y', number of non-zero elements 'n', followed by a list of n data points -->
    <resonanceParameterCovariance label="70" type="absolute"  endfConversionFlags="LCOMP=2,NDIGIT=2,sortByL">
      <inputParameters>
        <!-- Each row of this matrix corresponds to a model parameter. Parameters may be listed singly,
          as for scattering radii, or in the case of resonance parameters they may be given all together.
          In that case, rows of the matrix correspond to a loop over parameters for each resonance,
          with resonances sorted by energy. -->
        <loopOverResonanceParameters nResonances="927" parametersPerResonance="energy,neutronWidth,captureWidth" xlink:href="/reactionSuite/resonances/resolved/Reich_Moore/resonanceParameters"/></inputParameters>
      <matrix rows="2781" columns="2781" form="sparse_symmetric">
        0 0 1 15.70364
        1 0 2 -1.11068403564 0.4453302
        2 2 1 0.01237293
        3 3 1 0.01570043
        ...
        18 18 1 0.01870781
        19 7 13 -0.000737039661623 0.0 0.0 -0.000800490835411 0.0 0.0 -0.000804621051595 0.0 0.0 -0.00115108869505 0.0 0.0 0.002198777
        20 19 2 -0.00139072281138 0.003817838
        21 21 1 0.01272394
        22 19 4 -0.000341506120363 0.000228002169805 0.0 9.4296e-05
        23 19 5 0.00137495936272 -0.00131540966214 0.0 -0.00037835090695 0.00161344
        24 24 1 0.0002592223
        ...
        2775 2775 1 0.7103969
        2776 2776 1 0.03540563
        2777 2777 1 0.02439861
        2778 2778 1 26.11546
        2779 2778 2 2.68002246103 0.8465049
        2780 2780 1 0.02393313</matrix></resonanceParameterCovariance>

</data_container_examples>
