diff --git a/02_coords.ipynb b/02_coords.ipynb index de3444c..54821b3 100644 --- a/02_coords.ipynb +++ b/02_coords.ipynb @@ -148,7 +148,7 @@ "data": { "text/html": [ "Table length=10\n", - "\n", + "
\n", "\n", "\n", "\n", @@ -1804,10 +1804,10 @@ " parallax float64 mas Parallax 0\n", " parallax_error float64 mas Standard error of parallax 0\n", "radial_velocity float64 km / s Radial velocity 139374\n", - "Jobid: 1602708843725O\n", + "Jobid: 1603114980658O\n", "Phase: COMPLETED\n", "Owner: None\n", - "Output file: async_20201014165403.vot\n", + "Output file: async_20201019094300.vot\n", "Results: None\n" ] } @@ -1895,7 +1895,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "-rw-rw-r-- 1 downey downey 8.6M Oct 14 16:54 gd1_results.fits\r\n" + "-rw-rw-r-- 1 downey downey 8.6M Oct 19 09:43 gd1_results.fits\r\n" ] } ], diff --git a/03_motion.ipynb b/03_motion.ipynb index a6c72ef..bfa12d9 100644 --- a/03_motion.ipynb +++ b/03_motion.ipynb @@ -10,9 +10,9 @@ "\n", "As a running example, we are replicating parts of the analysis in a recent paper, \"[Off the beaten path: Gaia reveals GD-1 stars outside of the main stream](https://arxiv.org/abs/1805.00425)\" by Adrian M. Price-Whelan and Ana Bonaca.\n", "\n", - "In the first notebook, we wrote ADQL queries and used them to select and download data from the Gaia server.\n", + "In the first lesson, we wrote ADQL queries and used them to select and download data from the Gaia server.\n", "\n", - "In the second notebook, we wrote a query to select stars from the region of the sky where we expect GD-1 to be, and saved the results in a FITS file.\n", + "In the second lesson, we wrote a query to select stars from the region of the sky where we expect GD-1 to be, and saved the results in a FITS file.\n", "\n", "Now we'll read that data back and implement the next step in the analysis, identifying stars with the proper motion we expect for GD-1." ] @@ -23,9 +23,9 @@ "source": [ "## Lesson 3\n", "\n", - "Here are the steps in this notebook:\n", + "Here are the steps in this lesson:\n", "\n", - "1. We'll read back the results from the previous notebook, which we saved in a FITS file.\n", + "1. We'll read back the results from the previous lesson, which we saved in a FITS file.\n", "\n", "2. Then we'll transform the coordinates and proper motion data from ICRS back to the coordinate frame of GD-1.\n", "\n", @@ -84,9 +84,9 @@ "source": [ "## Reload the data\n", "\n", - "In the previous notebook, we ran a query on the Gaia server and downloaded data for roughly 100,000 stars. We saved the data in a FITS file so that now, picking up where we left off, we can read the data from a local file rather than running the query again.\n", + "In the previous lesson, we ran a query on the Gaia server and downloaded data for roughly 100,000 stars. We saved the data in a FITS file so that now, picking up where we left off, we can read the data from a local file rather than running the query again.\n", "\n", - "If you ran the previous notebook successfully, you should already have a file called `gd1_results.fits` that contains the data we downloaded.\n", + "If you ran the previous lesson successfully, you should already have a file called `gd1_results.fits` that contains the data we downloaded.\n", "\n", "If not, you can run the following cell, which downloads the data from our repository." ] @@ -574,12 +574,32 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "From the `GaiaData` object we can get sky coordinates like this." + "Now we can extract sky coordinates from the `GaiaData` object, like this:" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "import astropy.units as u\n", + "\n", + "skycoord = gaia_data.get_skycoord(\n", + " distance=8*u.kpc, \n", + " radial_velocity=0*u.km/u.s)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We provide `distance` and `radial_velocity` to prepare the data for reflex correction, which we explain below." + ] + }, + { + "cell_type": "code", + "execution_count": 75, "metadata": {}, "outputs": [ { @@ -588,17 +608,12 @@ "astropy.coordinates.sky_coordinate.SkyCoord" ] }, - "execution_count": 15, + "execution_count": 75, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "import astropy.units as u\n", - "\n", - "skycoord = gaia_data.get_skycoord(\n", - " distance=8*u.kpc, \n", - " radial_velocity=0*u.km/u.s)\n", "type(skycoord)" ] }, @@ -606,98 +621,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We have to provide `distance` and `radial_velocity` because..." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "TODO: why do we have to provide these? They seem kinda arbitrary. Maybe we should be doing this instead:\n", - "\n", - "```\n", - "distance=g.get_distance(min_parallax=1e-3*u.mas,\n", - " parallax_fill_value=1e-5*u.mas)\n", - "radial_velocity=g.get_radial_velocity(fill_value=1e8*u.km/u.s)\n", - "c = g.get_skycoord(distance=distance, radial_velocity=radial_velocity)\n", - "```\n", - "\n", - "Rudy's comments:\n", - "\n", - ">By setting a radial velocity and distance to the get_skycoord function, you override the information in the Gaia table (your alternative solutions seem to do the same thing?). I presume this was done to ignore the Gaia determined values and assume a nominal distance of 8kpc (they use 7.8kpc scaled isochrone in the paper, so probably an estimate from that). At larger distances, Gaia parallaxes are wonky and error dominated, so I don't see a problem from the distance assumption. Assuming zero radial velocity is a safe bet is most of the motion of the stars are tangential to our line of sight, regardless, any non-zero radial velocity measurement by Gaia at these large distances would be error dominated and likely consistent with zero. Your alternative solutions could work. \n", - ">\n", - ">It might be the case that the 0,-8 phi0/phi1 position is related to the distance of GD1 when doing the transform. I don't know how sensitive that will be to the choice of distance in get_skycoord. You can try 9-10 kpc to see if that changes the locust or makes it less coherent. " + "The result is an Astropy `SkyCoord` object ([documentation here](https://docs.astropy.org/en/stable/api/astropy.coordinates.SkyCoord.html#astropy.coordinates.SkyCoord)), which provides `transform_to`, so we can transform the coordinates to other frames." ] }, { "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$[1 \\times 10^{8},~2365.5854,~9648.8101,~\\dots,~8617.6871,~1708.4958,~1045.7865] \\; \\mathrm{pc}$" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# alternative\n", - "\n", - "distance = gaia_data.get_distance(min_parallax=1e-3*u.mas,\n", - " parallax_fill_value=1e-5*u.mas)\n", - "distance" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "# alternative\n", - "\n", - "radial_velocity = gaia_data.get_radial_velocity(fill_value=1e8*u.km/u.s)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The result is an Astropy `SkyCoord` object ([documentation here](https://docs.astropy.org/en/stable/api/astropy.coordinates.SkyCoord.html#astropy.coordinates.SkyCoord)), which is useful because it provides `transform_to`, so we can transform the coordinates to other frames." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "import gala.coordinates as gc\n", - "\n", - "transformed = skycoord.transform_to(gc.GD1Koposov10)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Finally, we'll use `reflex_correct` from Gala ([documentation here](https://gala-astro.readthedocs.io/en/latest/api/gala.coordinates.reflex_correct.html)) to correct for solar reflex motion.\n", - "\n", - "TODO: Can we explain what that is?" - ] - }, - { - "cell_type": "code", - "execution_count": 19, + "execution_count": 76, "metadata": {}, "outputs": [ { @@ -706,7 +635,63 @@ "astropy.coordinates.sky_coordinate.SkyCoord" ] }, - "execution_count": 19, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import gala.coordinates as gc\n", + "\n", + "transformed = skycoord.transform_to(gc.GD1Koposov10)\n", + "type(transformed)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The result is another `SkyCoord` object, now in the `GD1Koposov10` frame." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The next step is to correct the proper motion measurements from Gaia for reflex due to the motion of our solar system around the Galactic center.\n", + "\n", + "When we created `skycoord`, we provided `distance` and `radial_velocity` as arguments, which means we ignore the measurements provided by Gaia and replace them with these fixed values.\n", + "\n", + "That might seem like a strange thing to do, but here's the motivation:\n", + "\n", + "* Because the stars in GD-1 are so far away, the distance estimates we get from Gaia, which are based on parallax, are not very precise. So we replace them with our current best estimate of the mean distance to GD-1, about 8 kpc. [Koposov, Rix, and Hogg, 2010](https://ui.adsabs.harvard.edu/abs/2010ApJ...712..260K/abstract)\n", + "\n", + "* For the other stars in the table, this distance estimate will be inaccurate, so reflect correction will not be correct. But that should have only a small effect on our ability to identify stars with the proper motion we expect for GD-1.\n", + "\n", + "* The measurement of radial velocity has no effect on the correction for proper motion; the value we provide is arbitrary, but we have to provide a value to avoid errors in the reflex correction calculation.\n", + "\n", + "We are grateful to Adrian Price-Whelen for his help explaining this step in the analysis." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "With this preparation, we can use `reflex_correct` from Gala ([documentation here](https://gala-astro.readthedocs.io/en/latest/api/gala.coordinates.reflex_correct.html)) to correct for solar reflex motion." + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "astropy.coordinates.sky_coordinate.SkyCoord" + ] + }, + "execution_count": 77, "metadata": {}, "output_type": "execute_result" } @@ -721,14 +706,18 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The result is a `SkyCoord` object that contains the transformed coordinates as attributes named `phi1` and `phi2`, which represent right ascension and declination in the `GD1Koposov10` frame.\n", + "The result is a `SkyCoord` object that contains \n", "\n", - "We can select them like this:" + "* The transformed coordinates as attributes named `phi1` and `phi2`, which represent right ascension and declination in the `GD1Koposov10` frame.\n", + "\n", + "* The transformed and corrected proper motions as `pm_phi1_cosphi2` and `pm_phi2`.\n", + "\n", + "We can select the coordinates like this:" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 78, "metadata": { "scrolled": true }, @@ -747,7 +736,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 79, "metadata": {}, "outputs": [ { @@ -788,7 +777,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 80, "metadata": {}, "outputs": [ { @@ -797,7 +786,7 @@ "astropy.table.table.Table" ] }, - "execution_count": 22, + "execution_count": 80, "metadata": {}, "output_type": "execute_result" } @@ -808,7 +797,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 81, "metadata": {}, "outputs": [ { @@ -817,7 +806,7 @@ "pyia.data.GaiaData" ] }, - "execution_count": 23, + "execution_count": 81, "metadata": {}, "output_type": "execute_result" } @@ -828,7 +817,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 82, "metadata": {}, "outputs": [ { @@ -837,7 +826,7 @@ "astropy.coordinates.sky_coordinate.SkyCoord" ] }, - "execution_count": 24, + "execution_count": 82, "metadata": {}, "output_type": "execute_result" } @@ -870,7 +859,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 83, "metadata": {}, "outputs": [ { @@ -879,7 +868,7 @@ "(140340, 8)" ] }, - "execution_count": 25, + "execution_count": 83, "metadata": {}, "output_type": "execute_result" } @@ -902,7 +891,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 84, "metadata": {}, "outputs": [ { @@ -1012,7 +1001,7 @@ "4 0.486224 1.000000e+20 " ] }, - "execution_count": 26, + "execution_count": 84, "metadata": {}, "output_type": "execute_result" } @@ -1037,7 +1026,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 85, "metadata": {}, "outputs": [ { @@ -1046,7 +1035,7 @@ "(140340, 10)" ] }, - "execution_count": 27, + "execution_count": 85, "metadata": {}, "output_type": "execute_result" } @@ -1066,7 +1055,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 86, "metadata": {}, "outputs": [ { @@ -1075,7 +1064,7 @@ "(140340, 12)" ] }, - "execution_count": 28, + "execution_count": 86, "metadata": {}, "output_type": "execute_result" } @@ -1105,7 +1094,13 @@ "\n", "\n", "\n", - "In this figure, the shaded area is a high-density region of stars with the proper motion we expect for stars in GD-1. After replicating this figure, we will select stars in this region as GD-1 candidates." + "In this figure, the shaded area is a high-density region of stars with the proper motion we expect for stars in GD-1. \n", + "\n", + "* Due to the nature of tidal streams, we expect the proper motion for most stars to be along the axis of the stream; that is, we expect motion in the direction of `phi2` to be near 0.\n", + "\n", + "* In the direction of `phi1`, we don't have a prior expectation for proper motion, except that it should form a cluster at a non-zero value. \n", + "\n", + "To locate this cluster, we'll select stars near the centerline of GD-1 and plot their proper motion." ] }, { @@ -1114,8 +1109,6 @@ "source": [ "## Selecting the centerline\n", "\n", - "Following the analysis in the paper, we'll start by selecting stars near the centerline of GD-1.\n", - "\n", "As we can see in the following figure, many stars in GD-1 are less than 1 degree of declination from the line `phi2=0`.\n", "\n", "\n", @@ -1127,7 +1120,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 99, "metadata": {}, "outputs": [ { @@ -1136,7 +1129,7 @@ "pandas.core.series.Series" ] }, - "execution_count": 29, + "execution_count": 99, "metadata": {}, "output_type": "execute_result" } @@ -1157,7 +1150,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 100, "metadata": {}, "outputs": [ { @@ -1166,7 +1159,7 @@ "pandas.core.series.Series" ] }, - "execution_count": 30, + "execution_count": 100, "metadata": {}, "output_type": "execute_result" } @@ -1181,7 +1174,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 101, "metadata": {}, "outputs": [ { @@ -1190,7 +1183,7 @@ "dtype('bool')" ] }, - "execution_count": 31, + "execution_count": 101, "metadata": {}, "output_type": "execute_result" } @@ -1208,7 +1201,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 102, "metadata": {}, "outputs": [ { @@ -1222,7 +1215,7 @@ "Name: phi2, dtype: bool" ] }, - "execution_count": 32, + "execution_count": 102, "metadata": {}, "output_type": "execute_result" } @@ -1240,7 +1233,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 103, "metadata": {}, "outputs": [ { @@ -1249,7 +1242,7 @@ "pandas.core.frame.DataFrame" ] }, - "execution_count": 33, + "execution_count": 103, "metadata": {}, "output_type": "execute_result" } @@ -1270,7 +1263,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 104, "metadata": {}, "outputs": [], "source": [ @@ -1289,7 +1282,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 105, "metadata": {}, "outputs": [ { @@ -1298,7 +1291,7 @@ "25084" ] }, - "execution_count": 35, + "execution_count": 105, "metadata": {}, "output_type": "execute_result" } @@ -1316,7 +1309,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 106, "metadata": {}, "outputs": [ { @@ -1325,7 +1318,7 @@ "25084" ] }, - "execution_count": 36, + "execution_count": 106, "metadata": {}, "output_type": "execute_result" } @@ -1344,7 +1337,44 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 112, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "pm1 = centerline['pm_phi1']\n", + "pm2 = centerline['pm_phi2']\n", + "\n", + "plt.plot(pm1, pm2, 'ko', markersize=0.1, alpha=0.1)\n", + " \n", + "plt.xlabel('Proper motion phi1 (GD1 frame)')\n", + "plt.ylabel('Proper motion phi2 (GD1 frame)');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Looking at these results, we see a large cluster around (0, 0), and a smaller cluster near (0, -10).\n", + "\n", + "We can use `xlim` and `ylim` to set the limits on the axes and zoom in on the region near (0, 0)." + ] + }, + { + "cell_type": "code", + "execution_count": 113, "metadata": {}, "outputs": [ { @@ -1377,11 +1407,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "`xlim` and `ylim` set the bounds of the x and y axis, so we can zoom in on stars near (-8, 0), which is the proper motion we expect for stars in GD-1.\n", + "Now we can see the smaller cluster more clearly.\n", "\n", - "You might notice that our figure is less dense than the one in the paper. That's because we're using stars from a relatively small region. Their figure is based on a region about 10 times bigger.\n", + "You might notice that our figure is less dense than the one in the paper. That's because we started with a set of stars from a relatively small region. The figure in the paper is based on a region about 10 times bigger.\n", "\n", - "Soon we'll go back and select stars from a larger region. But first we'll use the proper motion data to identify stars likely to be in GD-1." + "In the next lesson we'll go back and select stars from a larger region. But first we'll use the proper motion data to identify stars likely to be in GD-1." ] }, { @@ -1403,7 +1433,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 96, "metadata": {}, "outputs": [], "source": [ @@ -1422,7 +1452,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 114, "metadata": {}, "outputs": [], "source": [ @@ -1439,7 +1469,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 118, "metadata": {}, "outputs": [ { @@ -1475,7 +1505,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 119, "metadata": {}, "outputs": [], "source": [ @@ -1500,7 +1530,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 120, "metadata": {}, "outputs": [], "source": [ @@ -1517,7 +1547,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 121, "metadata": {}, "outputs": [ { @@ -1526,7 +1556,7 @@ "1049" ] }, - "execution_count": 43, + "execution_count": 121, "metadata": {}, "output_type": "execute_result" } @@ -1544,7 +1574,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 122, "metadata": {}, "outputs": [ { @@ -1553,7 +1583,7 @@ "1049" ] }, - "execution_count": 44, + "execution_count": 122, "metadata": {}, "output_type": "execute_result" } @@ -1572,7 +1602,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 123, "metadata": {}, "outputs": [ { @@ -1618,7 +1648,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 124, "metadata": {}, "outputs": [ { @@ -1627,7 +1657,7 @@ "astropy.table.table.Table" ] }, - "execution_count": 46, + "execution_count": 124, "metadata": {}, "output_type": "execute_result" } @@ -1641,7 +1671,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Then we could write the `Table` to a FITS file, as we did in the previous notebook. \n", + "Then we could write the `Table` to a FITS file, as we did in the previous lesson. \n", "\n", "But Pandas provides functions to write DataFrames in other formats; to see what they are [find the functions here that begin with `to_`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html).\n", "\n", @@ -1665,7 +1695,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 125, "metadata": {}, "outputs": [], "source": [ @@ -1681,7 +1711,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 126, "metadata": {}, "outputs": [], "source": [ @@ -1708,7 +1738,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 127, "metadata": {}, "outputs": [], "source": [ @@ -1744,14 +1774,14 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 128, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "-rw-rw-r-- 1 downey downey 17M Oct 14 16:54 gd1_dataframe.hdf5\r\n" + "-rw-rw-r-- 1 downey downey 17M Oct 19 12:05 gd1_dataframe.hdf5\r\n" ] } ], @@ -1774,7 +1804,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 129, "metadata": {}, "outputs": [ { @@ -1783,7 +1813,7 @@ "(140340, 12)" ] }, - "execution_count": 51, + "execution_count": 129, "metadata": {}, "output_type": "execute_result" } @@ -1806,19 +1836,19 @@ "source": [ "## Summary\n", "\n", - "In this notebook, we re-loaded the Gaia data we saved from a previous query.\n", + "In this lesson, we re-loaded the Gaia data we saved from a previous query.\n", "\n", "We transformed the coordinates and proper motion from ICRS to a frame aligned with GD-1, and stored the results in a Pandas `DataFrame`.\n", "\n", - "The we replicated the selection process from the Price-Whelan and Bonaca paper:\n", + "Then we replicated the selection process from the Price-Whelan and Bonaca paper:\n", "\n", "* We selected stars near the centerline of GD-1 and made a scatter plot of their proper motion.\n", "\n", - "* We identified a rectangular region of proper motion that contains stars likely to be in GD-1.\n", + "* We identified a region of proper motion that contains stars likely to be in GD-1.\n", "\n", "* We used a Boolean `Series` as a mask to select stars whose proper motion is in that region.\n", "\n", - "So far, we have used data from a relatively small region of the sky. In the next notebook, we'll write a query that selects stars based on proper motion, which will allow us to explore a larger region." + "So far, we have used data from a relatively small region of the sky. In the next lesson, we'll write a query that selects stars based on proper motion, which will allow us to explore a larger region." ] }, { diff --git a/04_select.ipynb b/04_select.ipynb index aefe0ba..9e7ae1d 100644 --- a/04_select.ipynb +++ b/04_select.ipynb @@ -10,20 +10,20 @@ "\n", "As a running example, we are replicating parts of the analysis in a recent paper, \"[Off the beaten path: Gaia reveals GD-1 stars outside of the main stream](https://arxiv.org/abs/1805.00425)\" by Adrian M. Price-Whelan and Ana Bonaca.\n", "\n", - "In the first notebook, we wrote ADQL queries and used them to select and download data from the Gaia server.\n", + "In the first lesson, we wrote ADQL queries and used them to select and download data from the Gaia server.\n", "\n", - "In the second notebook, we write a query to select stars from the region of the sky where we expect GD-1 to be, and save the results in a FITS file.\n", + "In the second lesson, we write a query to select stars from the region of the sky where we expect GD-1 to be, and save the results in a FITS file.\n", "\n", - "In the third notebook, we read that data back and identified stars with the proper motion we expect for GD-1." + "In the third lesson, we read that data back and identified stars with the proper motion we expect for GD-1." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Here are the steps in this notebook:\n", + "Here are the steps in this lesson:\n", "\n", - "1. Using data from the previous notebook, we'll identify the values of proper motion for stars likely to be in GD-1.\n", + "1. Using data from the previous lesson, we'll identify the values of proper motion for stars likely to be in GD-1.\n", "\n", "2. Then we'll compose an ADQL query that selects stars based on proper motion, so we can download only the data we need.\n", "\n", @@ -74,7 +74,7 @@ "source": [ "## Reload the data\n", "\n", - "The following cells download the data from the previous notebook, if necessary, and load it into a Pandas `DataFrame`." + "The following cells download the data from the previous lesson, if necessary, and load it into a Pandas `DataFrame`." ] }, { @@ -95,7 +95,7 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -110,20 +110,20 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Transforming the rectangle\n", + "## Selection by proper motion\n", "\n", "At this point we have downloaded data for a relatively large number of stars (more than 100,000) and selected a relatively small number (around 1000).\n", "\n", "It would be more efficient to use ADQL to select only the stars we need. That would also make it possible to download data covering a larger region of the sky.\n", "\n", - "However, the selection we did was based on proper motion in the `GD1Koposov10` frame. In order to do the same selection in ADQL, we have to translate these motions into ICRS.\n", + "However, the selection we did was based on proper motion in the `GD1Koposov10` frame. In order to do the same selection in ADQL, we have to work with proper motions in ICRS.\n", "\n", - "We'll start by creating a `GD1Koposov10` object that contains the corners of the rectangle we just selected in proper motion." + "As a reminder, here's the rectangle we selected based on proper motion in the `GD1Koposov10` frame." ] }, { "cell_type": "code", - "execution_count": 96, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -135,7 +135,7 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -145,9 +145,22 @@ "pm2_rect = [pm2_min, pm2_max, pm2_max, pm2_min, pm2_min] * u.mas/u.yr" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The following figure shows:\n", + "\n", + "* Proper motion for the stars we selected along the center line of GD-1,\n", + "\n", + "* The rectangle we selected, and\n", + "\n", + "* The stars inside the rectangle highlighted in green." + ] + }, { "cell_type": "code", - "execution_count": 99, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -164,6 +177,8 @@ } ], "source": [ + "import matplotlib.pyplot as plt\n", + "\n", "pm1 = centerline['pm_phi1']\n", "pm2 = centerline['pm_phi2']\n", "plt.plot(pm1, pm2, 'ko', markersize=0.3, alpha=0.3)\n", @@ -181,14 +196,21 @@ "plt.ylim(-10, 10);" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now we'll make the same plot using proper motions in the ICRS frame, which are stored in columns `pmra` and `pmdec`." + ] + }, { "cell_type": "code", - "execution_count": 119, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -206,7 +228,7 @@ "\n", "pm1 = selected['pmra']\n", "pm2 = selected['pmdec']\n", - "plt.plot(pm1, pm2, 'gx', alpha=0.3)\n", + "plt.plot(pm1, pm2, 'gx', markersize=1, alpha=0.3)\n", " \n", "plt.xlabel('Proper motion phi1 (ICRS frame)')\n", "plt.ylabel('Proper motion phi2 (ICRS frame)')\n", @@ -215,9 +237,23 @@ "plt.ylim([-20, 5]);" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The proper motions of the selected stars are more spread out in this frame, which is why it was preferable to do the selection in the GD-1 frame.\n", + "\n", + "But now we can define a polygon that encloses the proper motions of these stars in ICRS, \n", + "and use the polygon as a selection criterion in an ADQL query.\n", + "\n", + "SciPy provides a function that computes the [convex hull](https://en.wikipedia.org/wiki/Convex_hull) of a set of points, which is the smallest convex polygon that contains all of the points.\n", + "\n", + "To use it, I'll select columns `pmra` and `pmdec` and convert them to a NumPy array." + ] + }, { "cell_type": "code", - "execution_count": 115, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -226,7 +262,7 @@ "(1049, 2)" ] }, - "execution_count": 115, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -238,18 +274,25 @@ "points.shape" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We'll pass the points to `ConvexHull`, which returns an object that contains the results. " + ] + }, { "cell_type": "code", - "execution_count": 128, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 128, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -261,9 +304,16 @@ "hull" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`hull.vertices` contains the indices of the points that fall on the perimeter of the hull." + ] + }, { "cell_type": "code", - "execution_count": 130, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -273,7 +323,7 @@ " 971, 967, 1001, 969, 940], dtype=int32)" ] }, - "execution_count": 130, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -282,9 +332,16 @@ "hull.vertices" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can use them as an index into the original array to select the corresponding rows." + ] + }, { "cell_type": "code", - "execution_count": 143, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -308,7 +365,7 @@ " [ -4.42442296, -14.74641176]])" ] }, - "execution_count": 143, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -318,9 +375,77 @@ "pm_vertices" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To plot the resulting polygon, we have to pull out the x and y coordinates." + ] + }, { "cell_type": "code", - "execution_count": 157, + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "pmra_poly, pmdec_poly = np.transpose(pm_vertices)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The following figure shows proper motion in ICRS again, along with the convex hull we just computed." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "pm1 = centerline['pmra']\n", + "pm2 = centerline['pmdec']\n", + "plt.plot(pm1, pm2, 'ko', markersize=0.3, alpha=0.3)\n", + "\n", + "pm1 = selected['pmra']\n", + "pm2 = selected['pmdec']\n", + "plt.plot(pm1, pm2, 'gx', markersize=0.3, alpha=0.3)\n", + "\n", + "plt.plot(pmra_poly, pmdec_poly)\n", + " \n", + "plt.xlabel('Proper motion phi1 (ICRS frame)')\n", + "plt.ylabel('Proper motion phi2 (ICRS frame)')\n", + "\n", + "plt.xlim([-10, 5])\n", + "plt.ylim([-20, 5]);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To use `pm_vertices` as part of an ADQL query, we have to convert it to a string.\n", + "\n", + "We'll use `flatten` to convert from a 2-D array to a 1-D array, and `str` to convert each element to a string." + ] + }, + { + "cell_type": "code", + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -360,7 +485,7 @@ " '-14.7464117578883']" ] }, - "execution_count": 157, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -370,9 +495,16 @@ "t" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now `t` is a list of strings; we can use `join` to make a single string with commas between the elements." + ] + }, { "cell_type": "code", - "execution_count": 158, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -381,7 +513,7 @@ "'-4.050371212154984, -14.75623260987968, -3.4198108491382455, -14.723655456335619, -3.035219883740934, -14.443571352854612, -2.268479190206636, -13.714023598831554, -2.611722027231764, -13.247974712069263, -2.7347140078529106, -13.090544709622938, -3.199231461993783, -12.594265302440828, -3.34082545787549, -12.476119260818695, -5.674894125178565, -11.160833381392624, -5.95159272432137, -11.105478836426514, -6.423940229776128, -11.05981294804957, -7.096310230579248, -11.951878058650085, -7.306415190921692, -12.245599765990594, -7.040166963232815, -12.885807024935527, -6.0034770546523735, -13.759120984106968, -4.42442296194263, -14.7464117578883'" ] }, - "execution_count": 158, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -417,64 +549,67 @@ "\n", "* `bp_rp BETWEEN -0.75 AND 2`\n", "\n", - "* Coordinates within the transformed polygon\n", + "* Coordinates within a rectangle in the GD-1 frame, transformed to ICRS.\n", "\n", - "* Proper motion with the rectangle we just defined.\n", + "* Proper motion with the polygon we just computed.\n", "\n", - "The first three conditions are the same as in `query4`. Only the last one is new.\n", + "The first three conditions are the same as in the previous query. Only the last one is new.\n", "\n", - "Now, we have code in the previous notebook than transforms the polygon and constructs an ADQL string. We could copy it from the previous notebook, but when you find yourself using the same code more than once, you might consider putting it in a function.\n", - "\n", - "For example, here's the code from the previous notebook that takes the boundaries of a rectangle in the GD1 frame and returns the coordinates of the corners tranformed to the ICRS frame." + "Here's the rectangle in the GD-1 frame we'll select." ] }, { "cell_type": "code", - "execution_count": 159, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ - "def transform_rectangle(phi1_min, phi1_max, phi2_min, phi2_max):\n", - " \"\"\"Transform a rectange in GD1 to a polygon in ICRS.\n", - " \n", - " phi1_min, phi1_max: lower and upper bound of ra\n", - " phi2_min, phi2_max: lower and upper bound of dec\n", - " \n", - " returns: astropy.coordinates.builtin_frames.icrs.ICRS\n", - " \"\"\"\n", - " phi1_rect = [phi1_min, phi1_min, phi1_max, phi1_max] * u.deg\n", - " phi2_rect = [phi2_min, phi2_max, phi2_max, phi2_min] * u.deg\n", - " corners = gc.GD1Koposov10(phi1=phi1_rect, phi2=phi2_rect)\n", - " corners_icrs = corners.transform_to(coord.ICRS)\n", - " return corners_icrs" + "phi1_min = -70\n", + "phi1_max = -20\n", + "phi2_min = -5\n", + "phi2_max = 5" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "phi1_rect = [phi1_min, phi1_min, phi1_max, phi1_max] * u.deg\n", + "phi2_rect = [phi2_min, phi2_max, phi2_max, phi2_min] * u.deg" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We can call it like this:" + "Here's how we transform it to ICRS, as we saw in the previous lesson." ] }, { "cell_type": "code", - "execution_count": 160, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ - "corners_icrs = transform_rectangle(-70, -20, -5, 5)" + "import gala.coordinates as gc\n", + "import astropy.coordinates as coord\n", + "\n", + "corners = gc.GD1Koposov10(phi1=phi1_rect, phi2=phi2_rect)\n", + "corners_icrs = corners.transform_to(coord.ICRS)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "**Exercise:** Here's the code we used in a previous notebook to take a list of coordinates and write a string that represents a polygon in ADQL." + "To use `corners_icrs` as part of an ADQL query, we have to convert it to a string. Here's how we do that, as we saw in the previous lesson." ] }, { "cell_type": "code", - "execution_count": 161, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -483,7 +618,7 @@ "'135.30559858565638, 8.398623940157561, 126.50951508623503, 13.44494195652069, 163.0173655836748, 54.24242734020255, 172.9328536286811, 46.47260492416258'" ] }, - "execution_count": 161, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -502,67 +637,21 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Wrap this code in a function that takes a list of coordinates, like `corner_icrs`, as a parameter and returns a string like `point_list`." - ] - }, - { - "cell_type": "code", - "execution_count": 162, - "metadata": {}, - "outputs": [], - "source": [ - "# Solution\n", - "\n", - "def make_adql_point_list(coords):\n", - " \"\"\"Make an ADQL string of coordinates.\n", - " \n", - " coords: object that behaves like a list of coordinates\n", - " \n", - " returns: string\n", - " \"\"\"\n", - " point_base = \"{point.ra.value}, {point.dec.value}\"\n", - "\n", - " t = [point_base.format(point=point)\n", - " for point in coords]\n", - "\n", - " return ', '.join(t)" - ] - }, - { - "cell_type": "code", - "execution_count": 163, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'135.30559858565638, 8.398623940157561, 126.50951508623503, 13.44494195652069, 163.0173655836748, 54.24242734020255, 172.9328536286811, 46.47260492416258'" - ] - }, - "execution_count": 163, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Solution\n", - "\n", - "point_list = make_adql_point_list(corners_icrs)\n", - "point_list" + "Now we have everything we need to assemble the query." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Add WHERE clause for proper motion\n", + "## Assemble the query\n", "\n", - "Now let's assemble the query. Here's the base string we used for the query in the previous notebook." + "Here's the base string we used for the query in the previous lesson." ] }, { "cell_type": "code", - "execution_count": 164, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -580,12 +669,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**Exercise:** Modify `query_base` by adding new clauses to select `pmra` between `pmra_min` and `pmra_max` and `pmdec` between `pmdec_min` and pmdec_max." + "**Exercise:** Modify `query_base` by adding a new clause to select stars whose coordinates of proper motion, `pmra` and `pmdec`, fall within the polygon defined by `pm_point_list`." ] }, { "cell_type": "code", - "execution_count": 165, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -607,12 +696,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Here again are the variables we want to select." + "Here again are the columns we want to select." ] }, { "cell_type": "code", - "execution_count": 166, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -623,12 +712,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**Exercise:** Use `format` to format `query_base` and define `query`, filling in the values of `columns`, `point_list`, and the boundaries of proper motion." + "**Exercise:** Use `format` to format `query_base` and define `query`, filling in the values of `columns`, `point_list`, and `pm_point_list`." ] }, { "cell_type": "code", - "execution_count": 167, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -666,7 +755,7 @@ }, { "cell_type": "code", - "execution_count": 168, + "execution_count": 24, "metadata": { "scrolled": true }, @@ -697,10 +786,10 @@ " parallax float64 mas Parallax 0\n", " parallax_error float64 mas Standard error of parallax 0\n", "radial_velocity float64 km / s Radial velocity 7295\n", - "Jobid: 1602786752402O\n", + "Jobid: 1603132746237O\n", "Phase: COMPLETED\n", "Owner: None\n", - "Output file: async_20201015143232.vot\n", + "Output file: async_20201019143906.vot\n", "Results: None\n" ] } @@ -721,7 +810,7 @@ }, { "cell_type": "code", - "execution_count": 169, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -730,7 +819,7 @@ "7346" ] }, - "execution_count": 169, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -751,7 +840,7 @@ }, { "cell_type": "code", - "execution_count": 170, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -780,14 +869,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Here we can see more clearly the effect of transforming the coordinates. In ICRS, it would be more difficulty to identity the stars near the centerline of GD-1.\n", + "Here we can see why it was useful to transform these coordinates. In ICRS, it is more difficult to identity the stars near the centerline of GD-1.\n", "\n", "So, before we move on to the next step, let's collect the code we used to transform the coordinates and make a Pandas `DataFrame`:" ] }, { "cell_type": "code", - "execution_count": 171, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ @@ -824,7 +913,7 @@ }, { "cell_type": "code", - "execution_count": 172, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -840,14 +929,14 @@ }, { "cell_type": "code", - "execution_count": 174, + "execution_count": 44, "metadata": {}, "outputs": [ { "data": { - "image/png": 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LdSX6lf4WbazlKqSGr9SAJQB2zHbQfP94fgat3JP97Nmz7n7itH2sttUy3x6XyqPn8pnc+lduy+uBtS0ttevTn/702D7rcgvhubm50Xa8Ej8OdFzf008/Paq3dGIXPTt58iROnjw51l5r+2Wrf86ePYtut6v2Nd9amNrAz1Pw2lVqN9+SeN++fWN9xXGUz7T2WQe+03741tbd0S2D6ShNrQ+1NpXaob2jMyzOnz8/2q+fz5nSVtvyuaRHjYauvvpq3HnnnaPzG7QtuIHBNuCEF5W1tLQ0NrdpHF/60pfi5ptv3rTlNLVBozN53CjBzMwM7rrrLuzevXvTO5pjvC56zseaz3mtDp5vy0CTCpfrNa0VAA83szRpfm+VV6rDMhOVHJzR9kgg7UGLYInk12B1dTW///3v3+Rc9srq9cajTaivS3slyVWat/z22tB02RypRytba19ppanRmbYSjNAiz2+tKLSyPPMLr1+zn1vtLpVttUMr24uak5FgXt969cq2RttggTfmGm7TqDMCuFxNQAC+CsAnAHyolHYaYaAak/HSN7F5RyahRYzSCVhTrydcZFrtv4UXMX/NmetNcrlkjvSjNSGmxcyt9167vD7iTJvnLZ3rIGmE8nBHvmy/ZyLgTFpzAMsdP+m51bYIQ/Xe1c4ZL5qr19u8O6eMRLJMQNH6a597wkQKcIsuSsJhmnA5C4B3APiN50MAENQ4QCNCIvI88ll8r2eH6UXqKQkX+rUiN6yJpDmm6Fc6lC0cI0LDyjttzcjCx+sji/FaETdaJJDEXzIKuceSFJqecO/1em7ILWdG2vhb/Vxi7pG54dnxvXK4D4g+RJTtkfmJyXofSXoMuAQkjDw/IcdPbmAnd4GN8KKm/iEOl6UAAPCNAB4C8N3PlwCIaAuSsLxJF3HAkTajRSrIOmTImMcAow5PbaLTc8vJK4nVKpdMPSVcmkYd8T6YJlDbS8KAcC+FsHrMJmIOkW206rQEUUlQWfeaINCe8/SacLTw5wfZRM2AWl9FTpiTZWhtscJ4rXHSBI11/oDVt9Z7KbCteRP5rqUEl6sAOALgZgB/0RIAAN4OYBnA8nXXXTdRJxB4DF4jBI9JRuN7oxtjyfIt+6ScfKXoDG2ia7scltqmMSS+FC/5PrQytPLlhK0VAqX00sSg4WnhpZVdalNJeFjMR96XGLJVdomBWIzfwzvn8X2pvBBLrR+0uVf68lfD12oPrU4j0X/WveXbsejTWl3LcrX5a7XlilwBAHgTgPcO/5sCgF9buRuodS8ZoRysmsFpwiSs0DSZniai9RGS9kw60konQ2khh5RPm/gcIhpc6eOlqBmp1xs/wcmrz8LBiv8nZuedXyvxizBuj5F59/RMMllJoxGaLQkTeU+//LhND0+vfXKsS3kkc5cgaTuKh4aXNc7ar+e4lmWU+ivahxG4HAXAPwfwFIDPAngawJcB/JqXZzuOhOQMjj/LuS5u3yqbfjXbv8U4PGYhidXTMDQitLQX0vS1fWQihBxZoZQ0VY/hyjZYzvTIWJGg86LESn1QsqV7fc3TRIICeEw6pbfqK5kUtHzcPMnHiZt4ZJ01AkBjrKX+9Zh7iZa8NtJ9SZHSyox+MxIVSNFglQhcdgJgDIltXAE00Q7ombX/TbRezhTlNrGaucTSHix8uYDyVhJeGfSf8JukvZ4gknVauMjySv1TYsxWfZawitJLaXwiUSukGET9TDROluCyaCHSHi445KlZUsmIzA1JD5L5eqtuXrdXvvVcK0uL4qqJeqN+iJz1HMGV07dnFotCKwAUkJK+Nq+3qx//tUAyaD6hvNOLPA3HYi4RG7PXVun44mVr6b2ytLZ4QsF6b20PQKCZlEq4WeVquGj11ggZ+pWMQ76voU8vfXRcrLS0WR2tNiRwm78liKhszy6vtUFLp+EaFdD8P61s5e6fGo6lsZVCJEIHnnmQ7idh/jlf5gIgek1LAEQHqTTQmpbDbcjRT/Q1IpC2RFmOFyXiTSCtfAsvrVyp5dVsAW0RubU6sZyHvI3e2Fl7HkWYUonByPRRLVHDUduaY5Jzh2shEhHD01jbH8goG48xe3m9MS05Xmu37ej1nju4R+Kk4VzjTJ/kzIppjS1BKwCGYE1WLWKhZG6xJg4RU2Tf9dJAc0ZrTSreBm1/Eo2Za1ocZ35yKauFhFp9Y0UCaQesW2fCapN8Y2PwkZM8scqaQJpW7WlxJcFgpY8IXI+GtH6N7ChKNvia8Eitfi1CS2PQ3PTjMchac6Ost5TOokN+pkIEKF/kS2ZK55m2JlEErP/RKMMS7HgB4GkjxBBp2wMrokIjeGuiW0xTpi3FRRN+WpQPpedEIhmKNfk0IcEFjaWRNiFqXgbv28XFxXz48OFN2/BqZVjmslqG7j2PtCXC3DRGYLUvIlxKkVXeORa8PO3cCsn8vagaLnA0IU/CmR+FKdsj26bhKdtbw5xXV1dDdFqan9Zcj6xSSvXKe2s1o/GHprCjBUBEAyGCs7aM1ia1Nzh8EK0veyXzLjETS+DUhCTKvBbOJe3ZY9YWaCsmS/O0JqX2fhoTRANNaGq+GYthyjQ1Qoq/15z59MwSnho+hw4d2rSNs/xvRRDxOr3VAikrnmCjMqxtrOmjMc3saNEe4U67cJb2+ZIKiQdyTtWsMOR9aSUt55kWDNIEdrQAyDnGMDxNTSsj4uQirchbVVjEUMI3mj4SWuk9l9pYxGZsleeNA5VjmbA485hEEFlCRhO8UjuWETAebURWKqU+4wxDmvgs85kFhI9lXiN/hKdQWGPm0bBGj3xeSDxo62Z5ipbmnLcc/RqeVC4XoiVTGz2PrJIi/cL3e/JoQxubSYTAjhcABKUBjBC4TOu9y9n3K/BBlsKhaVtk3U2Ps9PyS8ao1Rmpx8KdiN2acJqmVDM5Lc1Zq0ebqLIPNHNIr/dc2Gxp868SLWoMT+JSA9r4WcwzWoc3rt69puFrePCyPRNWCdbW1jatguTXy5rw0sJStTGx+kUThlZfy/zU5kl9Aa0AYOB1ZImZa+8ijh/vvbTv1wy0x5wIvJPQIvbjGmZv1WMJIC29F9qplWH1v5ykNJnJ12MdjWkxAyuthiOfvB7I/KQdW0xQtj2qKHj3Vh5r3GoEQs29Nx4cJ482eJ9ZfhOLeUtBoJUp8dDMglpabQ6RYNG+q5DKRWSeetAKgAB4E9+7L2mgEcK1JrOVR2oPHG9tiW8JnloHaumdl97TFJvWbTFJPvG46YSEi9ffJcYbbb/XRi0daagHDx4cM4FowB2uHm2WcPCeaxFGkVWjVV6pLjrXl9fjCXitHM5UuYmJ3ked8yXgqxe5S6nXZ3Js+GZ5VBZFucm+qO1zDq0AGEJkMspBlM4vbpPTiMoqk9/XRolwhtbr2ZtUWU6maH9wwtYcUBFhppUf0axK+FnjYvW55jwt4WN9BOa1X0sjxyXaTrkC8PrDcthGxkfSrtYPFDUk+yyqjfJ81jYJHAeuCUuzqFe+1q5e77n4fh6VVKNAeO3RzFYEGt4ar+DpeRmaI30S5p9zKwByzrGlPU/L83CHmzyI29MgIlqGnGT0KwmstH1sr7c54qhE4BIPWs5aGpjWPi1ENCIcvfGwJgwvS/uAh9qhHVou+8Myb5QmXYkpycNKSkIlClH6LdXDx1YKSp5Gc1hGGJM2drRPkTWWWn5P2EYc4NS2Q4cOmd/kWDTG+4eeWQ5jqWiUIpGs/tKeTwtaATAE6XiywCPUEgOo0ZD5EpATnvz4S95bBCOdVRoh8nq0iS//lxihtu0uN7XIPDI/x4fq9RgdjyLRIoYWFxfzoUOHVPsu9UdpWS1x0t5ZY6xFl3gC1AKLBkuCsVSOVGg0bdsThPy559yX6UqmEu25RoOkqFy4cCFkGiF6scCiMemXs7ZDkSGrpZULz8vn9iRCvQStAMh1GpS1NI7WE3lO9Wjn7UrNjF81e6aXdsXUJnlJ++K4a4zCEgoyj2Vm8xivXKVY/WpFi8iP0TyI+EhKDLnUb175Wjp+ae3zGLKGO28D/9K1iS/MS1NaSeZsf8SomWDlCkCrUxNU3tzX8JEKkWZ6lffail7DLYKTxL8ptAJgCBqjs9JFJ2upHrr3TEFRoizhHcmvpeHttKKRIpOfgE9Mzwkmf622cRxLNugSw7bSavk8zbG0UrHKtfpAE1y8Ls6ka+goSi+ScUma9WjDAklbXt1kquGMnvJwJ6l1kA+/93xklslSlqHtxGr5XegZrUzJf1LjEC714yTQCgABGpFY6bT/pbKbRhdo6T0casqMlENaTlSAWfVozmsrreVQJ3z4fw8PPsk9xu3hWWIK8l2pnggDJFpcWFhQ97KRZXgCTnseGTvCoWSys1YIEWXAw5kYrsXo5QrAK4u3W77nfeitjDQ68ua19HfU0Eyvp/vurLY1gVYAZJtIItK3hvlrddUCJxZuV7Q0MgklJqIxNo1AawmxJLS0MbDMMtzcU2KkHHeuuZVwtiYr3cu+aaoQRHwOlM56J5/x/1Z0SU3QgzzW0UrHceKmNW9c5FwrMWDCX2tvLXiMu4Sv9p7/j8yhUp1yEzuJQ+0OpxrseAEQld5avuiBDBFNqwZfPhGsZaPm4JWMk7+T/y1h0KQ9pYlWYlTapJGOQ69uyZxK+JPZwQtPnEQYemVF8vC8GuP18KnZJqK232ReSxHh5Vr2862AEuOuTWulsSJ9SsJeliMd5LzO2h1OLdjxAiBnmwgiy3j5BWFtHRGo1TalxsjzWSuGKM5c+NQyO3lvrTY4eHvMlzRYj2GVtFnrlDPqQ2vJXqNR8vIi4PVZxH5MCoAmPDVBqfV7pG1WelkuF4BNhagGlsKgCUwL74hpzBprTjulMfGghN+kXwHn3AqAnLM+SBFpTY6dmv39m+Cmhb9puFD60olY/F5jHhrj4GkpnLEUwx5h0F5bez17Z0auPXqCzJtEtYf+8PZHnXYWI+UC2TvlTZYZxdeiXy8KimzbEWcoPbP8KlrIq2XyKfWXBVoarT+54Ov1eqNvDyzaioRrynbwZ7z/LCtBDa169U8KO14AyEHi956E5Qy5NClriJrn88rhaSTRl7Qb7RlnBlLgyLLp1wubJE2o5kMnXibda5OH+pw+rCo5ga32ys3lJGhmHmJsJAQ0oeWVI8vz6rFCOGvbVkrP81l9rrWj1+ttOrWMnsuPImVdJfMq/9X+W2UQg9dwJ5qk70Rk33KBrH2gxuuQY2PNTW0uWqGvNXtdlRSYKOx4AZBz/QrAGmwrTc51G3RFnIIa4UbLLjmi5HtLS/IYFBFoxIzG05cOwpF+jBqHJpVHdXht0KJNqA5ievKr4tKRiJE+oKU9bU5Hz0ttk0K8ljmUGI8l6KSmL/GpqYODHFe5O6c2nyIrUykgZN+TYOdnD1jl1LaJ1yOFFFcsKF1pz6dpHArTCgAHShLYGiRJHJSu5LX3tEitbvpfM9kjUSdR+2dpqVzCSdvCItI/pZBE7R0vXzMbaUzbcjQTE5EnrnmHokeUCUp7/PjxfPTo0bFNy6JjFqUhnje6ypDMsqYuqw1Wn3DmK5kdv5fzoORP8PqS+oEcrJET6TTcLeDtkf1H9VpCT2vDpA7gnFsBMBFog6RNxpzH4+gt4otqHJJ4IuFgNZpKVAA10b4JpF22qdPNS8MnSu222qV6+Ha99Cyi5UfeUVmcmdWOb0SYUjtK5iINvygjL+FoMVg+VlrcvfzuQNOIS0LHatfGhr9nVFSYc5DbQ9P4WjjxMYwESzSFVgAYUMMotEHSiIGISzvMg7Q+a9dOLyQz4oyNMM8ISG0lan/X0mgTwIMam7a8jzLFSNkkdL0P1SKg4cTLi2jmGmPQTvCSeTSHLC9HS6vdW2mijNJqGy+r9IUz7y+rHA8Hfs9XAV6fWOC1l+9qSr4Iy7yqfQMjyynhEoFWACgQjXLhYDFnrVx5sDoNqnbeKaXRmIRVj4ef9a5mSc9t57U4RJms9r8Jk5Vll5b/3gqsNCa1uEhGrTFGr1yOs3YyVVNGJev3aE+WF2HupXbVpo3UZY25Vo9cWUxKd7xsjo/mxyDhsLCwoPIfyzfVFCYWAACuAfBV0fRbcU1zLyCuCdQSaUkT4bt2WnXLZ5q9cJJthCMaV0Tr9JiAVU+pbP7eipTQ6piEmfBx05y4Xt7a91r6WkFi0WlkE8AanLg2zDXRprQxCXjjbuHE02jBBZb5UivbUnSi7bQUGQ33Xm98O/OS4Jq0r6sFAIAXAfghAB8G8AUAnxv+/g6AdwP4s1berbqmuRso3dfklYxL+6qRCLGGuVgCpekki2oMpQkesdt6y/9S3ZwhW3VLJjVpf1hjXzPJvagMjR6sNCV8tdDVGoEbaZOngFhCeZJ55OEh/TdaCKbMYwUXyDK0/1a/WvRn4S3ngtYvGl1wRdFbsU4DmgiAjwO4F8BeAC9iz3cD+EEA/wnAD1v5t+KaVhholLFqBK8xeo0QrfJKDLPpZJqEodWUIQWcx1AjtlqL8XiTp4SjBk2EnQaab0cyUf4bdVhKHCOOd4+BeYwrMjaSpuVqlGuutQoPf+4JGU0AauVoAokragRaVJGFpzYWmoKmndMRdR7LaCAJGxsbm461bApNBMBV1ruaNNO8prEXUNTubzE6mYZ+S4PP05VwjAonjeAtXEv1aUJOttO71yKWtENZtPbxie59VKYJhmnZoT1mKuvT2qSZUSzmqN1raT3tUHsux9Eyr3mOSQ1PKZT5HPLi1D3znreqs+aoRRMy0ibnrEadeePhaflWW+i55pvR8JS/pZUFRSlNwz8xVScwgJkm+UQZ3wTgGIDHh2alnyzlmdZeQJZElcQW2bgqynwjDDbKyAg3SxOvIRYpSDxtqlQOBx5i56WT/eJ9tq+dK2sxOq18XpbXjpLt1mp7RGhZ9WkmRU+4RYWh5YvikSoeWPTAy+Uhj1q7LBylYKEyNN+cNRakaMhzBEj50OZHVFhpfcHbqY2dRgueELf+y7DdSZh/ztMXABeb5BNlfB2A1w7/fzWA3wUw6+WZlhNYizf2JrulOch0kbrlBJLakDXg2kTU0miMwcO3xORKDKzU3tpnHhPnH2VpDCmCB32X4C2rp9V+jl9UsHOIRirJcvi9PACF05y2cVoEP01hkPHvVnnauNXY27VnpIVTOWtra2OrTz5/PcHqtZ8zf2vLFKtNXtm8L2TYpzafm0ITE9A7jOunAKxb+ZpeAD4I4C95aaYlAObn582QPEs7aPI5tpWetFmOAxGytzQuEZG2KpCEaC3LrTInWXqWhFiTsng/aRpZBA8vBHcaONeMm/VeE3Y1ZfJ0dC0sLIxWUETTXGsumS9lf0mtt8ZhaTHH2r7jaaRA4u/lXIuOqzavIspGTR05b/6AjMqIbkVfgiYC4I8B/AKAn1OuP7DyNbkAXA/gIoCvUd69HcAygOXrrrtuok7I2V4B0K93gLpML//LekoTWCNGS2OIaAJafk0zidh+tXJqwCL+SZgZL5czfXn+MAdP4ElmJj+qatIH2lh6bdX6ibYoWFhYGGPUtdogH2fSio8ePToqR9t3p9Q2b654+eR9JG+EgUbmDsfdW/GU5mqkbRJqTDiWY35S5p9zMwHwMICbjXefs/LVXgBmAJwCcGcp7bQ+BPMGs7SlK58sHoFajEkrqzTImhZSap/lfGui8dRoMrK+Jrh6IBkh9zXI9lqOWUswSSZi+UKiglgbg4gt+NFHH82rq6ujcmhDOktAWf0kPyRaXV0d27lTE4qlNtXapS0B7JUjlZfS3CiNq3fPn3vatoZHRNhrJqEoTtOEJgLgVQBebrz7M1a+mgvAVQA+CuAdkfRbLQC8dzKcTG5I5Wl7HiONTkIt0sHDX5ZVY8Yi5qmVy++9yVTriPbuCWiZTJt3WY5hbmKTKwWtbTV4ldqmCV35XgokCVpUiXaVFALNzxU92U7eU38vLCwUd3LV8ml9YPm+uOK0sbFhnsMh26P1fdTcyfNY9VgRRJYg0MZaCvFSAENE4YiAJQBeBANyzk/knJ8x3v1XK18UUkoJwL8D8HjO+V9NWl4U+v0+Tp8+jW63q77vdDqbnnW7XRw5cmSUp9Pp4Nlnn8XZs2dHZS4vL6Pf77t1dzod7N+/f6wO+k94aWX0+32cPXsWZ86ccevgbeN19Pt9nDlzBl/5ylfUPBqsrKyg3++P3svylpeXsbS0pOaX7ZRp5L0sW+uHfr+Pc+fO4Y1vfCMuXryI2dlZzMzM4MCBA7j11lvH6lpZWcG+ffuwd+9ezMzMjMrKOY/el8aK48X7QBtDD3dJa/1+H0eOHMHTTz896sNutzvqa0o7mB6b+4fK7Pf7ozSSlqn+mZmZTe2Zm5tTcffawNt81VVXYe/evWN9Q3RAeXh/7d+/fwwPKp+/m52dHRuTnDM6nQ5mZ2cBAOfPnzfHa8Dbxvup2+1iaWkJAEZ4E34azcrx1WBubg4HDhwYlcXr7Pf72L9//1jfUV2nTp1Cv98flZtSGvUf0eLs7Oymein/yZMnQ7ylMWhSIT+nob8FwGMA/mh4LQP4W16e6AXgOwBkAGcBnB5e3+vlmdYKoIlTV2r7chMnLzrFkvAlLVu+i2jllsnJ0ka9Pd49bVe21cJLlhFZHVj1lQ4s13DXlt81416Lr7by0mz8hBudCXDs2LG8sLCwKaSRt10LNdSiUmo+PrNwttJpPrLFxcWxVZlHM1p98plcrZTi8zUc5T5c/JsFLzRVw8szBW5sbIwOniHnM6VdXV0d66+1tTU1jNmC52MF4DHovwXgEwC+C8CfAvC1AL4bA3v9VIRA7TVNE1CTgzRo4DVzjMYwPeYrJ24UZxmDbBGmlobjpPWDZJyyDbKtVpvlstwTEKU21+Tz+l9rb7Tc6HcDXhpt/CkvMQ2iLU8ga/howqIklC0asWz2lgDt9XqjMw3ktwU8nRfZVhL4Flj0reEoDwfS8ni+Og1nbhajsslUROZK6hNy7M/PzxcF4FZAEwHwCIDrlefXA3jEyreV1zR3A23S4VziW3vza8+8CJUIHkRw8ivZCCOThGxFNEkBpwkXwpc0Vsv5qsVc83Z47ZS4Wm212lwqv8le8iU8mggmq69LeSOKQwnX0keEmkAh2tNo49ixY2OaryxLK5fS8O22rXZ44AkzLY3XL7ycCE6UR1Oict78wRg59rV+KK2aJoUmAmClybutvLbrQBgJnpYmwSJ+/i6q5ZQYaBT3CLFpworjsbq6Gp4kOeexA7q9ftLyWtqgFtZaKzDomWUWkGVGndslwVRiSBwk7Uhma9Vfa77zaJj3Ec9LUVgaXUWiX7Qvv2to3Zof0THThLDG1L2yZL3a2FIdWrw/T2e1bVJoIgBONXm3ldekewE16cho5E0phKy2fItB1GpF0To1YrfSkBZaYkRW+hrmTM81+zdpVZwBlOzQWj0cP6s/SjjK8krRJ969F7ZKfRGNoy+9l31n5dGYJJ15QWYNjflZzNNLbx104+GmtYWHDFs0z/c00vrOUga0fuTRZ9bYEb5em3i/RE3EJWgiAL48dNDK65MA/sjKt5VXUwHAGXSp8/nzGju9pVWV8tR8vBTRCKitZJeM1CkZZ4mBEo5y0nn1WL6LKGjt5/haGiDP79XPHbNeX3n48TwybNhzhPN7Lows57XV31GoVS60NlG7uGNV0oNk4CRgtfBdmVcTDt6ckKtyHrIq7fFaeKzXV5H3lmDzhI/VJjKLReZhFJoIgFd6l5VvK69JVwBySRphsnLZG6nHM/lIsOyBUhv1IhUkkMMpsrqge8k4owzGE0wl7aaEl3xuMT4u4CNCz2qjdlBMafJr5WtCxFvyy3Zpppaa9ln1lNJq7ZI4aeXIeUXp5YHvxITJSapFznk4SXxK9XPHNI/SiSh1EbomISdXEJZAJ7y8+UxjHd2sLwrVAuByvKZ5Ipj2nyZqjZNGA0uDt7aZkM88E0INDpH0EeYRYfBR5u/VpWly/HlpMkaYGr+Xm6RZgltrqydUPNOFxDNKWxxPq/1ankhEl5WHz4ea8acy+PGnOT/H/OS+PDV+MK1dvH885Y0/j9YXGXdthcfzasLHE64RE2ItNFkB/B0A/zO7/zyALwHYAPDjVr6tvLbaCSxteBxqB0AjHmmCkuk0TUb+rxFENcxFw8kj6ggz1955DJaH0WnEr03optET5MTW+txrj/yvMQjP0R3d5157ZzFCC4+cx81k2nha+XN+bkM67YhTD2cSGr3ec9tYSIYnGajXbn6vzYtSPsvkGRVoMo83h6UAlXQiFUzLzGyNU1NoIgCWAPwP7P4Tw9+XAPgtK99WXtNeAVjvJbE1LUcOmmZikBNUajVWyJ7Ew5oMtYLMYwpyuVvbPxYhl6JFeN6atDyNHId77703r66uhvpEprEYcMRM5+HttUPDg+5ln3hhnhqulsbJVwBcsHl4kemF7zpK+fgKgD5203bF5XVbjJv+y+NErf6WeMp5HqUr2XarL7S+pv6RAQeeUlRj+vVg4iggAPew/0tWvq28JhUAnlMlojlE3lll9nq9UbicLMdjqFJ70PDwJnDpWQlv+VzTJGvLsNpQAjl5vbZQGnI2Wg5JD1cPD41RSKbi5a+hQy+N7D/uELfS8veW85t+uWLi7btjHRfJyyFNlzuOpYChOi5cuDCmcGj9XbLna8xXChAuhLiA8j6m0557tCnTl46C9OpqCk0EwHnj+YsAfMbKt5XXtI6EtN7VTL4oA+QTTTpmLe1Eg+hSMYp/CUoMzGPCNQyuFs9Sf1mT0ysvKoAovRWmGImi8uiG42IxWkuwU/1yWwhvBWFpo/Kr2dKKb2Nj8+lvWt08bJhHApFiRO3jKzRKt7CwoG4K5znX+X1J0FmC3GuPfBcxJ/K+bDJ/mkITAfBeAP9Uef5PAfwbK99WXtM6ElJ7FulsTbJbAyh3NJTLVa8si8g9JjVNoimV5eHK08j7qKDVzGGUrnQymyfkLYg4ObW2SM3P2uK4RC8SF66R1pqYNAejR+OSIRFTJjxK+blA9PqPyubmno2NjdH+OPKrcimU5ufni1/fW33EBV1U0GtQoveSsqEJXKs9JYFUC00EwDUA/j2A8wD+0/A6D+A+TOFM4CbXtJ3AUYbEn5U0DkoTCXHzmCRn+jXfItS8q03vvS/1mebc5u+k1nrhwgXVaSntxRKkqYKXWdPeaB7eLu9rZY0OvP8yPTFML5+FkxdTrgkX3tdcebFWExxfz1nMGT83zdGmaXzeSBwXFxdVe78cJ0vRIFNTdBsN650X3FBa/eWs+wFL7ZnGqWCNw0AB3ADg+4bXjaX0W3lNYwVQYlzaIHOmHIkeqDUpSJAMswnzl8QviapEqBE86Xmkz7Slr8Vc+L7/FoOSdn05YbTnXtssBl0SnBpj5r8Rs6PVfwTWqsBbKXH8rT7Q+lVrV/QjOekA9uiCzEG8DVzAS3rRTG5aX3nPCEcrXVToa88m8eVFcJyE+ec8gQC4nK5JfQCliBqe1nrmRSbQfQ1T9eyK1nttsnrmJEmc1ufvNXhqjFnLJ3+tlYDMTyGI3oZz/GMZbQxK/cvLsk5vK2mX0hGp5bHAs0dr46elWV1dVU0jJeGj1cvr5DRSY1YjTbuURjpneXpuKuFtj8yrSL/ztBY9evh79VrvZH9q9REetTsVR2DHC4CcN2t6GvPyCE0yC/5cllmLj5dG/mqCzCNcrYxaArMETikMzyvHS0OMwJoM0q/C2yYZh1a+JbStfrSYhfTtWG2k9lg4WHXI8vj/tbW1fOzYsXzo0CGVQdeu/KwAhej8oPfRcxusfuC4RFaqUvjWrG49RYHmmqdAREHrT0vQT+MQeAmtAFBA07C8D3UoPe1saRFGRAvxhIWlzcmJ7BGvVd8kTjBZXo1/gvKU3kkh6+XRtO/FxcV8+PDhTT4ED5da7dJ7Zgljwov3lcW0rbo1pzA5Uj186Nfb+Mxjgvy/toePTE/779Qw4Zr3vI/J7GSZ4aLlWmMrHeH0fJoBF/L/tOYoh4kEwPD0rr89/P9yAN8cyTftayu+BOYTiwZa09R4Ghn1oBGHt9TjabVnkYnIBVWEyeU8ICzrfFULHwtqibUk8KTPIxqZI+vf2NgYO53KSkuCXGNqWj2R9lkKBNUdWQFYDFr7CE8ybk1RkOVIZubFpGvaqAxwsLT3qLIR7XNNQSAcas7m4O8i2v3GxsamczhKZTcFq0+nUdckTuCfA/D/Avjd4f3XAzhRyrcV16Q+AO0ZEar04lsmHvrl/y1zgmUXLuFV0nz55PfSyDq9TeJqtBpPSEUmsfVOm9w1OHpaLl+t9Hq9PD8/n++5555RaKA0qdWa8rhJLMoQtfbxQ9clEyj5GSy65PTId4qlPqEvonlZmqLD20NgmQA1/K3xpDHxbOOen82aQ54CQbSm4SjrohXNJFCiJW285PNJYBIBcBpAoq0ghs/OlvJtxTXJdtCelqNNFE078JbnWj2Wo0urm/ITwWkrDJq0TZbWhE90wkbLlhNlUgdWSbhZEz/CHLQVgJZH5ovirW32Rf1OX7Z69fR6vdEWCZw50jueXzNLyO8QKA0/sGV1dXVMCZD+EqkEaUKLRyFZJkCOr0cb2vwj5lxyJntjoUXlSKZvMVoPR1mPVo6FT6kNVj9OyvxztgXAi1CG/rCADAAppWsCeS4r6HQ62L9/PwDg9OnT6Pf7o3czMzOjd51OZ/Q7aPJz0O12ceTIETz99NNq+byeTqcz9r/f72NlZWWsXno2Ozs7SnP69GkAwN69e0dl0vNut4vl5WWcOXNmlEcClc/r4bB//37s3r1bzUd1R4Hj3O/30el0MDc3hwMHDph4RcsFxseJ55f90u/3N+HB05w8eXKUf2ZmZqyc3bt3j+WdFM6fP4877rgDnU5nDJ89e/Zgfn4eX/ziF0dpJd70jPDvdDqYnZ0doxv+e+bMGSwvL4/h/cUvfhFnz55Ft9vFww8/jFOnTqHb7eLJJ58EAMzOzmL37t24++67MTMzg36/j927d4/qAQY0QnOi0+lsoltO1zMzM7jrrrvG+pW3j8+hubk57Nu3b1M6Xhen6UuXLuHMmTNV40JpCUdqI+/jlNJYX2vtknOL48jrOn36NNbX11U65MDL9nDXeETtvKwGTSrwC8BPA/i3AD4D4O8BOAngJ0r5tuLaqs3gSktMgtXV1eLeI7X1crCiMKTd1yqf+yikbdez/Ufxi+TT+rLJEtbLr8VbW2YA0nY97U1biTU5cYuPHzer0D1F6/CxkmYdK6KINHmLRtfW1vI73/nO0bcT/OtaMkvRCV5Wm7V2eSsWL8qKwnR5u+QHTdavbJ9GU1qdpZBq/t8LX7baKyFiLq6BpnMwAmi6Asg5/28AjmDwJfCrAPxszvngVgmkrQZNCktt3ZK611577UjjkVK+2+26mqRVL4GmAZDmT889DUK24dy5c2Ori/Pnz7srBErH8YloxhInqe1EtB8OXIvT8tNKrNvtbtLg+v0+ut3u6NnMzAzuvvtuABjTlmms6BfAplUV1xQtPKX2TuO0vr6O9773vVhfXx+l3717N2688cYx7f7UqVM4e/bsSHucnZ0dGyfZrl27do095zAzM4Pbb78du3fvRqfTwa233oqbb74ZwGBlAgxWlrt27RqtIHib5cqK4y7b3O120e128Wu/9mt4+OGHN/VRv9/HpUuX8Pjjj4/69vz583j1q1+Nubm5sXkmx4KPP8dJzk9Jy5L+JcgVomYR0NrhzQFaGdAKiGivZlWprW45ROdNY9CkgrwwOAXsDcP/LwXw1ZF80762Yi+gJumkj0DaHCNlRKS9piFFoitIw9PuLU3J07Qj7SnhY5Vh2WE9sGylCwsLY6dA0XPp+OR9SI5RbfuIUn972rHcd2ZjY2PsmE5u56aVCncgS83/8OHDm5y1XrQIx11rl7WzZ87PrXS1CCHefwsLC5tw0uqlfvfCqzU8qD5tE0WvD7S56K2c6bfpOSDUvsOHD49W2pHVdpTeJ1lVEKDpCiCl9PcwWAH82+GjbwDwwFYIo62Efr+PpaWlop0c8KVuv98faW08PdcEShqAtVqQKwKpnWl2YZ6eA6UhXDyNnOriKwau0cq+iwDv5+XlZbXNsp+itlLr/a5du/CmN71pTIvudDp49atfjauvvnrUpj179ozGamZmBvv27RvTTCkf9Ym0RctVioUXrVT6/T5OnTo1wotWLwcOHBjV84pXvALnzp0b6zMq89Zbb8Wdd96JT3/602GNV9KKxFlq4pSm3+/j4sWLuOOOO7B7925cd911AJ7TlKU9/IEHHsD6+vrYylmbC+vr66NVFcdR+5Vp9uzZs2m1x9so31G7aaVizUU5Zln4/SiNB3x+3X333bjttttUPwKfD3w1QisRaz7LldI0fFUcIk7gvw/g2zE4DQw55ycBvGKqWDxPwJf1HlFowCfQ3NzcaKA18BgZMSHObGUdHn6eQ0pjDhouWl4yNXGzCM8nJ6/VP9IZ1u8PnIEWHl4/SSDnpnR+8vK4U5/qP3/+/MgBSeYIMnHQeMi+oPtOpzPWdo1hckcgpSGH8MzMzIiJv/nNbwbwnGAAnjPzfeELX8BNN9006gvOjKhdEg+in6WlJXS73dEvwczMzEiAUZ9xRs3HgHChPpqZmcH6+joOHjyIbrc7SkN5Op0ObrnlFtx4440jwSVNdcvLywAGptP3ve99uOGGG6pNGp1OB7fddttYu7kpT1OGZmZmsGfPHpw5cwanTp3Cnj17TAcrnzMkkAm63S7uu+++kRCnfPSOgDvF+Zzmv6RAaUJreXl5k3Kqpa8xpYZBWxbwC8Cjw99PDH934QUWBkpgOdD4e77k5VfpAxvPfOLhEYmDLrUp4swqlaH9cii1h9phnbMbXUqTw5BCFnn9fO94DV/6QluadXq98RBN7Qti+pXfg1y4cGHMXMTbRqYlab7R+pCPrzSP8P6NmMt4v1K/WB8sUXppBrT6n9pF/Tg/P79pDshLmoHow7qFhYWx8FPehxxK30fwMZH7NvHy+Alv3PFM42+114JebxA8wUNlqVwykUlTGh8b3l+cFjWzFW8HNzHz8dgKE1BEAPxLAPcAOAfgLwH4zwD+WSnfVlzTigIq2U45EWvbOvOJrJVhxUdrA2h9iRkRBJb9uilY9k9LOMk2S0K3BKhWHyd+Yrz33nvviLEuLCzk+fn5Tb4MPikXFxdHNljJrDWBwn+1cX3yySfzj/zIj+SjR4+OPqLjm9NR2o2NjdEZw1YbJT7WdyaRr0Cp3uPHj+cPfvCDY5E9Fh1Yp2dxupPfEPD6peBbXFzM8/PzeXV1dTROGn68/LW1tXzo0KGxaCY+VyQDleMsceM0d+HChfy2t70tX7hwYfSO3ss6OJ4lGzynL94fVJb2VbTsM963vAyeRhNs2hg1hUkEQMIg/PM/YuAL+HsAUilf5ALwRgBPYHDOwD8qpZ+WAJCD5GlN3gT0mLw2gJbDSk4eTYuQ5fM0EeIopdGYvMX0NQ1HaodWyJ+sz1r99HrPaZbEOLgTlacj7Zc0Tg1H0qouXLgwyie/jKbn9DHWiRMn8gMPPDBiJpxJ8cm6urqa3/nOd47ScvwoHJJWCXRvKRYSF61f6NmFCxfyPffcM2qT93U2/5pVtuP48eNjIc7SYUvtINxWV1dHbaL/1hgTbGwMtiFZWFjYpI1T6CofK+vsaT5n5KrzwoULo3zz8/ObPnjjglejaw93K2zUE9bePObvNZ5kldkULAHg+gBSSi8C8Mmc8+Gc81/LOd81/L/ZW1IJKaWvAvB/AvgrAGYB/I2U0uyk5XrA7X7axyESNGcOPZ+ZmRl99KOVz0PDNJs6lcND/zRHGs8jnYOUhr/nv/Q/EpZWCt8k2yavV/Mz0HXgwIGRo5Hyc7spgE0fIPG+WVpawmc+8xmsr6/j3Llz+IEf+AG8/vWv3+Q3efjhh0f/c86b8OEf+T3zzDO455578JGPfAQnT57EJz/5SVx//fVjdmCy3wMDR+nrXvc6rK+vj2zBNKZf+cpXxsbptttuwzXXXLPJYXzp0iV0Oh288pWvRKfTGYVHkk+CPlTj/SrpgPAim/rs7GCaPP300/jRH/3R0ceJe/bsGetfPu4555Fd/7777sNHPvKRURv37ds3cvx2Oh0sLy/j2WefHSvn0qVLWF5exsWLF/He974XAPCmN71pVE6328XJkyfHxpgHFJw9exYpJfz5P//nx5z0Tz/9ND70oQ+h3++PbN3UT8vLy5vCUckp/Pjjj4/S79u3D51OB9dee+1oLl9zzTW48847R/3J55h0xMr5Ie+5X0nOI8+3ps0V2RY5b3g5kXk7KbgCIOf8JwDOpJSu24K6vw2Dc4c/k3PuY3DS2PdvQT0jsJgXZ1RArOP7/T4ef/zxMYekZJrS4UvPJEhGSmXxXwIuezWcL168OHIsSkYS6R/rXusTzyElhSdnojxyQvv6kib13r178dhjj+EP//APxyJkuBOWJvarXvUqXHPNcx+pc6coCYnbb78dP/RDP4Tv+I7vwK233opbb70Vr33ta/Hggw9ifX0d3W4XMzMzuPPOO0eM4Td+4zdw8OBBvOQlL8EDDzyAhx56CB/4wAfw5S9/eRQNdvbsWezatQu33HLLmCOx3++P4u5TSiNn8L59+0aM6ZOf/OSYY5Par/VLznnMab1/+GX3/v370e/3cf/99+PjH//4iGlyej9w4MCov2677TY8/PDDI2bN49mJ2fNxO3PmDF7zmtfg0qVLeOqpp/B3/+7fxczMDHbv3o077rgDjz/+OB555BEsLS3hkUce2cRIgcE3CDfffDMuXrw4mg/dbhcf+tCH8PVf//UAMApC6HQ6o/o+8IEPjOHa7w8iqr70pS8BGCgKPCqP5vLc3NxICdP6s6TsaNFF2vzWonc0AWPNFTnH5Dsv0msaEIkC+joAv5NSeiil9CBdU6j7GwB8jt0/NXw2Bimlt6eUllNKy88888zElWqM1ZPMgP3hlNRy+YDLckiD41rS+vo6jhw5sql8S/hokQr83XXXXYf3ve99uPbaa3HmzBkA2LTVRBNC4toMgE1ROJoGJfOfO3cO119/vSnoOPDoDtLG+SqNNOBOp4M777wTjz32GB544IFRlEm328X999+PtbU1nDp1CufOnRsx99e//vWjD5Q6nc6IiT322GO47777RiuOj33sY+h0OnjrW9+Kn/qpn8INN9yAN7/5zbj99tvxwz/8w3jd6143GvsbbrgBv//7vz/WHmLUr371q3H27NkxDZRHpJCAWFpaGqMN3i88bJQrL/1+fxRRRIIrpYT7779fLefMmTPYs2cPnnnmGXznd34nOp3O2LidPHlytMr4yle+MurHZ599Fp1OB1dffTVuuOEGPPXUUzh58iSWlpZGeL32ta/FS17ykpGCQmXSOK+srIwYKw/BvfPOO/GGN7wBAEbROt1uF+fPn8ctt9yCN7/5zZibmxs97/f7eOKJJ/DEE08AwGgOyg/KtKioTqeDvXv3qhFBfN7KMdKUnvX1dSwtLY1CnCkd9ScfI2tu8P9eaPiWrgQ0u1Aet9N/p3aV8gXK/WsA3sfufwTAQS/P8/UhmMwT/VhDbqQl8/NIDelc4uVE8dRshtzWKSNaIk7pkq1e+6CH5/Oc2vJe285a2pv50YEUdUG2ZLJrLy4u5g9+8IObon6oD3i0Bo+w4Hb9Y8eOjXwOZNPnTmP5kRa3P/Pzai1/DceDjwN3aMpjLqleeZA4B3lcI7Vdw4HqlpFU3O5PeJL9XEanEM1SPZI2uHPUipCROFF93D8g08vx5M548sfRNuDkYyEa4WPO28Hr0OatHGs+ZvyQeR6RRXXxfpP1Sr8X92twmKYvAJfbgTAAbgXwUXb/MwB+xssz6XbQ3k6ApbzROnIuHwQunT78XSlahoATmpZHI+RSXbKPeFnE6KzDuSkdD4n0HNicIfFQQ+moIyfr0aNHR2XTBKfDxIkhyInF+4A7dmniHjp0KB88eHCUn0/co0ePjgmKQ4cOje2nJBm35szmbaW+4ZFM9F46fnl/Uvutcnk6yTQ1J6McY8JLCjFiZtoY872miDFrzm0t8sWit9XV1bywsDC6l31y4sSJPD8/PzYmPL8XtaTRtfZfO/tY9i9/xv/T19p0Spt2ZjV3XltjLdNPyvgJGgsAABsYfATGr89hEA56Qym/U+4uDDaY+2YAHQBnAPw5L880zgS2mIwWcTAJaJOH42INbpRR85DHqCCJ1OUdkkGEbp0I1ev1NjFz/k5jEmtra/mee+4ZY3I8L22i9p73vGcs2oXOwj169KgatSKZHzF3mpykSVKcN+HC83CaoDwyyojeae2mNssVB92T4NG2OvDokpcr38uoMNl+bdwJLy3WXVs18lUsbxffcsMSRLx+zshpZUfjIo+55Gk5M42EQGu0qL2XDFqmKdUhhZbWXm2+enhF6y/BJALgnwD4UQBfDeBrALwdwM8C+OsAFkv5C2V/L4DfBfBpAO8qpZ/mh2BSC/LCtaLlEnhhX1YeiZ/3nPAvCZmIgCnVLYEYuKbxckajaZ4UqilPcOIfCUlzxOLiYl5dXd2k/Z04cSL/6q/+an73u9+dV1dX1b7gdXNmRZomMRt5ADnllYKOM0XOyK2dPi1BSOYmbkbg762QQw6cafM2agf+cKZdKpP3m0VfvF1SwHnKAdVB/XPs2DH1u5HFxcV88ODBTX0oVxcRs6Zm2vFMtFoZk4AnCD28rTKawiQC4FHl2SPD3zOl/NO8pnkkpMZUcy4f+qI915ZuGmF6g8/zlQ7O8PDkZWobnFn2+RLT4Tjyj568fuQMgjNNbk/nzH5hYWEU708mCVpWS832woUL+Qd/8Afz2972tvye97xn0zcCvA9I65dChdtuOe45bz49jWuIdE/lkebLzULWB3qcGUfi560+loyf2sLx0MbPAotRRZQRqZhY9UgbOPdFyDro+wJ+wpumXHCQ2jsfMzl3vO8rSlDLiHk9llnN86s1qVPCJALgJIA3YxAx9KLhfxIAp0v5p3lNWwBE7W7ac29wPCaqPeMaCDEtTSvUtBivLu8DN8umbOWRH1TJE8ukxs/v+QTUbMbECOgZb5dMwz9meve7350/+MEPugJJapG9Xm+keXJnIs/DBZ3sH23cZRtleq0/LY1UpiNcuaDUcOVMVRP8EZD9J+nEYqiyDKtcbYVlMcRDhw7lQ4cOmTukSrCc5VZeS7DSWHrzyvNtWaApBUQH1pnUlh+xCUwiAG7A4EzgLwJ4Zvh/D4CrAXxHKf80r2kJAGJ00ltP76w8/L81aZviw7UAzYQk8SJG7B0M7xGNVjY3a5TSW0xNamdcc+P9xqM6pOlBtp1s9UePHh2d40tlawxLmhksIchNJrJe2Ra+OtNoRhPIxOQ0B6SlwUsceR9Z/hdvbLT+tJiuxnQ0uuORQCWguabhxU1AMg+nC/lOe2ZF0Xj9Ls2+vd7Ah/XOd75z09bdsg+0uj2hqK02LR4k8Sc6mEQIXHZRQE2uaZ4IxjvXi9zQ8uYc/zzceibx4FpAlKETjp5W4gHVw8+MjZiWrOcaE9PaxZ9bmjMBZzh8BWDhJLUrzSbOQQoRr1zqKxkxxN/Ltli+Gsn4NYEjaZQc3xbdWiCFqXTubmxsbPJHeOVL+71Xn8e8NFr36i29k/fSUS7rlPXTfy3k17qn/tBoX2trScBa5U561vYkK4BvAfAQgE8N7/cC+MelfFtxTcMJXHLOksYq9xKRk5KeRQjESiNtot7E1iaSJYSI+C1BkvNz9lJuZ7cmhVaf1b/aM6ufqDzuBNYYnzxO0Opbrb0ln06Ekco+INw5E+RjWMrL66VQVq1dsh3SVFDLEHh/yjK4ac4TiNRWjbESnpEVB39XY1IptVnipJl5uV+hiYM2IvQmdfbysYq0uwSTCICPY7BtwyfYs0+V8m3FtZVnAtMvZ8jaCqBknrEYkXUfnTDE1CO2Y5qgPOSSg7SXcmFAkTrWBNGWq56gkXhJ0KJwNGHLGazEg55Ljc8y72nCiP/KdnFcOLPm5hm+U6jVdpmGmL+VT8MnahaxQPahpZFqdZOzW65qZHnaO20cvFWnxUQt/Gh16G3QWGrnpExWq7O2bEnz0zI1TyIAloa/n2DPTpfybcU1TScwgWSkJQnthV9aEytSrixDS69NWAuHtbW1PD8/v8nRRu9p21xeNjF/isfWcONMkPeJ/NJS5vNWD9IHwJ9pfSL9H7wcEiSrq6ubjujzmL72XlvxWRq4plVr7eTKBQk+S2HworisZ1bdlnCzGKE2VjwE2CrfoknZrxHmJvvFml9cuFofKXrzqgYi+bW+rjHXWb6oSWASAfCbAG4E8Njw/i4Av1nKtxXXVgiAnOOdrE1KLQ3/pf+WqYbjoD23ypf4yzRk2rlw4cImBqFFTHDhZglDrvlqgoEYm9w3nz5a09poMYfI+bHyPY8u0hyVpYmpaZUyvYaXHF9NcEgcqa+8PNHQQEuIafhpbZH1WwKp1kfkCVeZVitH6xeLNj1fjoabla6EU8RcWDIzl0C2cVLmn/NkAuAGAB8D8GUAnwdwHMD1pXxbcW2VANAI3kvr3VvpLUZBDFdbupbAyktl81h3Wb8WtUDp+ElOkiFxASHbycvm+bToFc22z/vJig7xmJDGdEvgMYvSRNYYZ87jETWek1vLX2OSKTFVjYHyd9qqzTvHIULrGn1H8vIyLF+QtbLmuNYoc1pfR1bYkTZY91G8puH45TBxFBCAawB8dTT9VlyTbgVhPa9xAsrnpTBMz+vPiVWzrXsgv0qV5cs6tQNIZCQICQ3amkGWQZp8KarDstFzoPqscEKrLzQHZClPDdRMVp5GY1LR6BCvfk2IaBqiZ17jjDQqiErlev3A8dQEkCfAvS0utP7h6fn3IhHw2i8FZFPQhGJECNB82zYBAOAd3mXl28qrqQAodXzJDul59L0N2SgN1aERZ2myeYJFmnA0uzh/R4RFTFTaxwk3vi+Ppo1pzFxOcAsXma/Wvtnr6fHjNczKK3uSMjRmVcKxVJcUInLFJ+uU+Jw4cWK0AiMBXgq91dokcZJp+GpWK5uvHrXjGXlZnlD10hPdNRk/Xif/wlsbK6/8kjIT7WvCYzsFwM8Nr98A8CSAXxpevwu2jfPzeW3lCsByHnl5I3ZHSnfs2LF88OBB90MebVKXBEsNcZFWQRFC3pGN3IzhCUgrAsbDRWtHTTqr7GlMlib4yOce05KCMrL61MaG5+e/mtDhgl/6Y2qEHpXB9z3iOPHwSlk//0JZo60SU4yO96Q0IJUl/pzwtb60LvUlV7Y0uvCUg0nbNYkPYJ6bfoabwn2klG8rrq3yAcjwsUhnE+OLOMW4dmRpN95vidl4TEY+17YTsDQ6qY1p5VH+aWkqFt7RpTP/jZZdmy4y0Ut9Qhqm/PhKluMpAJw++DbEGhPm9TbZKoIrSrRFg0YjloDjl3xfuxLUVhoe3tqzWi2e55NRcNEoLMsfI+utoYMoTCIAzgF4Mbt/MYBzpXxbcW2VAMh5XKuKfuGobTNgpdXeRX5LTECbgN4yWNMmvdhp+l8KP9xq8PDj+NQwk2gbLIe5h6ulHHAmsrCwkBcWFkYf4nnCXHvOHbcUwsuZI723DqGpAaqP57fokz+XgqjWrCKf88NjLL8Ab6cWRWRt1BeFEi1a7yahye1cAbxruFf/zw9NQqdROLhlq66tFAA5P7f8s/aPiWjFMq33LkocVjn8Yy3+633NqZUTIWitPyLpIjiUQNOyapjlJLhZIbOlFYDmwJNjT1fEDCLzcXMLlWFtcS63Xa71hxGtWUxTMvlo5JF8J3+tcactMbgpSabnAkgqB9EVa2n+ltI3VZKmzfxznkAADPLitQB+cnh9ayTPVlxbIQA05udNxOigeoNIE1YSaI0Q4JNJmzyRci3tLYJLjR2zFK4YgUknhYVbpJ3W/kO1Qtt7Hnknx9xyuMryPGWD//cctJ7ALzm2S4oO72fJqLWIp16vt0moRdsZpaMaRu+lr6FTLryl0JtUCDRxAs9Y72rSTPOa9pnApYgEK/+kzEcSfJQRRYlLtquW6USYhYWL1key3U2ifzx8rXQls5a3DQNPV6sJWniW+i8SSaaF8xJ4O1JqoI2D1JhLzNtqi8XAtP6kseJRcvIsAK0MibdmcvJg0jGseVdKQ/iTj2WSPZ80aCIAHhpG/bwewDXs+Q0A/g6AjwK4y8q/FdekUUDaYGvLyJr89K5kj5RE600Iq35ZplaPhk9EyFh1astrAqsOr69qHO0aPhHb7cbGxsi2XrLVl8xlJChqmIHW/lJfEj5W/daKkQsH7/B4C0dL+eFRPVRP9PhFuXEf718ZKcSVIbk1txZlx9PzOvk5xU2dxFY/WMKsFqz8HP9er+duadEUGpmAMDiy8dcBfBaDs4DXADw89Atc6+XdimvaKwAOmsnE+pVl8gOhiTi1sqyvXps4LWW5HvPlz2sdgFo51F9yt9QSU2k6gbS2emn5VtM1ZVtMWQsLjJYrn3m05TEHWb821pYA8XC0aJ7+yxPQIv1g0SI90zR6ib8397SoPb69RvSDMEtAExCNy8OPJgFtfHu98YN/JlkhW9CeB+CAxVgj5goiOh6OF7GjahEKHn6yDJ63dFQegdaWkgYk8eB1aMcw0lLe66/a5xETAn+nMdoIaOXW+Gki5cvtFyL+EW9MSwy+JPQ1mueMWjJaT1B5+HmCJoJ/KQpLRjl5obAaPlqZ1Ae1wt+qU3sv+7vpar0ErQAogKWxWe/oOf8UXTquLJD2ysgk9iacpb15bdEESdQfwdsu08qzdCNAZVkT1tPUZPSTXGFNg2lr/5sAZ0wWc9ZwbtoOyVS095rdnNcXWVVIwWZB0/DTCE1qzFxGPskVoRW9RPfaZnk1eEeCDjxhP00h0AqAAngCoJTP0ui0cuSkixBXCTeNyDSns6XplfJaeFhalbTPlqDX6432mec4lASC1pfehKoBL1+T8riTryRotf2RaplCVKBHaFaml++lL6WEj/U+ks9qj0bHHCdpNio5jaVQiwovi04Jn0jQAVdopiUEWgHgQK3WFdWQLe0hMtmik1ZOdGvSa8w+0gYtftzDN9qHMq9cAWht1CahFiYo21zqfw0f77xaj2FafVMSVAS0guLbaZfq9toRgShzIybK94ribSvVV/INWcxY2vpLHzpadMrL4U5jOXbab5SOZTAEX4l4TF2j22lsRkcwyYdgtyhbQfyFUr6tuC6HFYDHjHgavgVyZBC1iW4xPGvZruFcS8Qyj4zYmKawpPbIdJq2Z/kvuI2Yp5ECxOoHC2diEPyZpQ1yPLxvM0r9Rc/5ITGab8qjKY3plYR9ZOyoT+h8CRkd40VUEb4W89bGy4qYKtnkS/ON40L18n6oXRFZ5dMHpbT3kkcPk9YZgUkEwCcAJHb/Ijoc5vm+tjIKqCZ9xDFMgx/RGrSJXmJ4soySPVmbGJ6Ao3dabHm0rBJIJyOVUzrFS6tXMkjPzOb1MceN95309Wjt5wJTCqYoY9bGUI6jx0gls5Qx5bxMqw95WbwPiaa1UFTaddTCVxPEEmcNJy2tt21GaV5qTlephHjKXY0pyJp30dWtLG8SmEQAnFaenS3l24pr0u8AamxqEWIq5Y+kkQw6yvAk8BhoDQ/NSVbS/CKCRcOrpo+1aA4ZXlpTpoWDxSysiSeZlca8OM6yHs5MtMPcNSZOjLQ07p5WL3HWjgS16i7RiDxj2sOJpynVpc0Vq33cl+K13wKpFHBzltUP9FyLiorUKcuJ+Le0PJMIgUkEwP0A/iGAq4bXTwJ4oJRvK65JBUDtAQtNOnzajCpaRkkz8rS7Gvy051KQRWzupYnGISKsSvh5aTxNsiSUtVWMBGKclkmJP7M2S9Nw08qSWqXWdr4DqYWPbK+kmZLwkGV7z3i7o33ehCHK/pUrACsqj+NjmYy0/vTwsJ5H5m8TmEQAvALAfQC+AOC/Ds8HeEUp31ZckwoAb//7ScDTHkr1TAsfTtTyeYmoahirBZ5GEyVqq//kR11yAtcwcK2dljlF/rfKKvmDHn300XzhwgX3+xDrf8k2TH4H2uNf+kC00EfpZNYYrjdmTejcAxoDaRqJ9kGkfF6PhndJkGuKCc87rfBjS/BumwDYigvAu4fbTJ8F8J8BfG0k3zR8AF4Mdimv9dxazkpGlLMeezyphuvhUkrr+RqiRBdhsrL86K6QtDeKdnpZyYSj/dfSlQ5f5xCJdpHlcGYsaS/Sd17ZVK4WcKDtZMrbwOuOaLCSnj0lItJHlpC13jWBmjlRsv1bW21oNNQUZ+rTmh19IzDJCuBbhvsCfWp4vxfAPy7lK5T5PQB2Df//IoBfjOSbVABwKV+zjNQ0Ew4e8+QTTcYi87wRhl56TriW0kTrLuWrKUv2iRcOJ5m8jItvwiQitv5S35HgqtkSQTPFSNpryjg4E+YfmHGQdntZDxdQHh6SnnlfaM7UktauKUf8XXTfoQiU5o/Vbq0vaxW1GuD0Ms0Q0JwnEwAfB/BtAD7Bnn2qlC96AfirAH49knYaYaCWqcICPihRoeERSE39nsDRiFdGnViTaxLwNKroxLLw0JhCSQuKMDBreS9NJlzD8+rT2krlyfp5eGSJ0XNFoQScLnk9knEQM7FWnrJO2TYuYOQ7LnA8oUb32k6mVj/S2cUWRCLxtP/8mdbW0rkJ02LKVjk0Ts/XZnAvQhlemnP+bfHsUiBfFN4G4Detlymlt6eUllNKy88888xEFfX7fczMzIzuO51OMU+n08H+/fvR6XSwsrKC2dnZYj7tPT2j+vv9Pk6fPo1+v78JR/pdXl7eVE6328Xp06c3ldHv97GysoI9e/bg7NmzWFpa2lRHqU4N5DveH1Qex0m+o/yyT6w+ovz0XiuL4/bxj38cZ8+eHRsXmX5mZgZ33XXX2Nj3+32cOXNmlG9mZgZ33HEHzp07h36/b44x4cZxBQbjcuTIEXS73bH6O50OUkrF/qBne/bswYMPPohut2uOAaWdnZ3FysrKiK4PHDiAubm5sX5YWVnBTTfdNEon8wLAnj17cP78+dE49vt97N+/HwBG9ymlsTECMMpPfczHQGtfSmmsDq0faVyeffZZ3H///WP9wPvDm4tyXkjaof8azQ54JTbhxftd1uXda7h59LyysoL19fVNNLBloEmFPK6h/yaAGzGM/QdwF4DfDOT7GIBPKdf3szTvwsAHkErl5QlXAJZEry2j5nmpHG9pyjUm+b4UQmatELT0WpkaPrVtsZ7V5C+lo69mva0TvPK0nVmj5h0NeB9y7bh29Vd7+pgHGk3wd9pKIhobz9NoqzetXRG/DZVRcq57oNE5/ddWmd48sOrUVrylsSr1kdffkwAmMAHdMGTmXwbweQDHAVxfyhco9y0ATmKwwgjlmdaHYFHzQrTMmogIK72GSw1TrW2LXMpbOJUEyCS4EA6Rg0w0JiMdq5MIYmnyaGLq4+VxX4FWh+fDaRJJVqIVLvBKwlIz51iBAnzsvLEgE5XlRC8xx0nmqGyPZw6zwBIQEt/SuE2bsUehsQDIzzHsa8C2hJjkAvBGACsAXl6Tbxo+AD6QpQicmjJl+R5zlNqhZBZamTVtqhEC1v/Sx0JWO6O48MkY0bw05lDTRyUoMUWtPo9JEkPU8ltMmPo9EtnEn0U+7OJlR843iAh+eQCLdgodbxd9lGb5TjS6omfWCVk1c0PrF6rf81/wdNaq3JoHNbwh0p6mUC0AALzDu6x8kQvAeQCfw+CA+dMA/k0k37T2ApIDPanDxdME5XPaI0hqhx6jjXzBLAVLFFcvXYQJenV47yMTzqq39v00JpXFOLR6aCw0x7MmzDiT8rR0z1RnPZf3vV5v5GBtEtGiKVAE3JEsmT3HUfahFxlHqwx5WhgXFiWtWpat0V0keq7X878Zkc9Lq4Vo+VrZtWAJAM8J/NXDaw7AjwP4huH1YwBmoz4GDXLOe3LO35Rz3j+8fmyS8mqBO6q63e5EDhfpcCLnluXoyQNBhgMHDpgOM+mAunTpOZ+75WTq9/s4cuRI0aGr4aQBd8TK55G8XlrZvlKZ3W7XTUPtWl9fH3umOdwibY/gTA47Xh4f906ns8nxTCAdrFT2zMwM5ubmxt7xsslxq9GqxIXyaPcpJTz++OOqE7VEIxxX+qV858+fH/X5k08+OdZWjiOvU+snThf79+/H7t27cffdd29yGvM+obGX48zHidom28nTcCe31nbuZOfPNTrj9fK6OX6y7we8evPz6LytBk0q5HFtfR6bdwP9SCnfVlxbsRuo1J5KEtqSztpSnH65dlGzxbDMU1pClrTAkgbigVaOZRNtWq72rvSFJoE8iY1v3iY1SjkuTfD28kxj5WNpmXRYekTbtOrw6MDSkEv4yjo1mo/SvVaPZqahi3/wJs2Psj3WClbzC9SsdrU0cs5adEj1y3DdUp/UACZwAp8D8GJ2/2IA50r5tuKapgDQGGqJEUf2IpcEIRmYxaSjzKCGEJosl6PlUNtKdvCacjnIGH2ZTwM5iT2HqiYwPEZUaku0XzlTio4lHzu5vTB/z/tdnlIXqcsaZ15miRFKOuv1eqNtKrx8Fg4a7fZ6vVE/8L32JR5eezScPUFh+aBKUT1aGzU8aTsPi+a2UwC8C8AZAD8P4OcwsNn/TCnfVlzT9AFYA1oayJpJqxFnyTFUIwgiaaWWESFYDY8oYUaEqUxvCeJIaGqJ8VqTj3/8pH15WWIeHLxVikZj5BCt2ZuK6EiLpLHqoDxekEHNOHtfb8sx4X3HfV5RHEhwaKsHwqXW56WNrxbu6kXEaZp7VBBouHElpyn9RaCxABjkxWsx2AX0JwF8ayTPVlzTXAFojiFpMuDvS6Dlie4xE2GakiC0Sc3b5jFQbzLz/JNqHXxCRARrVOOhtFHzkFVGzn5sehQfioLR8lvMV/ZNJBKKMz3rvFpNMGp9a0VqeUys1AdWWuofKRhKOPBDeTxFoylYK1geyWT1L08fSWv1jcXg5ThMGj46kQC4XK6tWgHQoNOBF1b8tixDK89Ko91buJXeaQxT4iJtxRJfL9pAmg1qGEKU0eQ8rj3xELuS4JCaE39e6mM5qUrbP5TKKwmhqPml9C0EHzM5fpJWvW3BOV7yGQmWkqnHi2ySz3u9Xp6fnx+teHheDweqx6Mfq14PInNUCm6PLuQ77TS3CM4eP/HmaxRaATAEiyHSrzbgkUG0/hN4RFyjzUSInsrkBFyzWyEn4JrTl7x+0Zi/jBsnBlE6fUsrr9frbTKrSCjFoDeN29aW7zx/ZHXBTVJeXdp/DnJFw3HRTuzS6uBfVsu+Onbs2FhIpjW+vE38a23ZN1o+S7jxNN57C7zx0Mq1+IAsh55vbAy22iafhydEI7jy/7VnmUhoBUBupjFY4BGRxUi0SRlhdlod/Fc+19I1iS/mzCQquCJMik8YC9/oxJZ96WniETNL5Bl/p0WdWPZwmU8y19IKoIQTF6KyHh5L75WxsbEx2n6b+0Y4Q5eRVh4+3Dym9Y2GS6nPtWg7a4Up/3uKmNcemY/PDZ5nbW0t9GW71z6rza0AmNIKYBLJTOk8p4/3TBKrZHaWPdnDQbv36vfKkO80J5e81xicxXCb+hcik9Jre4n5R+vUcJBpPYYW0TA1PLSx0MrUVnq0qtIO1dHq4hqsdoIW4V4yb2nmMUmvkll685OX4Skksm6JR0lgac+lAsfHQ660tWM4tf9WPaW2NYFWAAzBYga1TIIGpckpY1a6tbW1fPDgwXzo0KEQHhpzLaWXbZQT0iNcK4pITjzSpLQzZJsyYmki8cqKCmX+TtMeS8KlJHS99JG8sl+tvpfbJMj32pnEngmIM0KLGZW0f4631h7eJu6DkeGQTfpWq7tWqYoIGOu/tTrxyuf1lNrVBFoBwMBzSkZtzvTMisawwBv4xcXFPD8/33g/eI9hWRoXB0m8Xn0lnKhPpO2yqTYTPUyndhw0ZmZpfDV0YQEv0xNeWp3WmHGFIRrZ440x/7DKo1evzCgjk/hqZqcaZhlJ54FVr2TeHo6e8OD5rRVZbWBDBFoBIKCGWDijt9LzgarxD9Bz0pajmgrVw+2Q0qFqTRDveWlTughj9crzhIzVTgLrOL4mJoRSntp7As/XwBmsFmWi4VUCLmSlAC7l854TPZbOS6Z7ySClpuuNi3xXEnr0PCrovaibWj5Av96RjSXh1+sNIqO0/Y1kcMS0fJatAAiCxQxKzi5tAPl77T/dU2SF1Lg0JqJp+mR24UvqktMownQ0Qo+YLaRGx/OfOHEif/jDH66auJampbWl5vStpuAxFdLsvFWWXCWVVm4lvDUhXTLxRL5ot5z/nolDwyPi4G7i5CzNK++dhVdE+HjvrJW4hoPFIzyzWVNoBQADjxCtD6wsDUazlcoBLDFNclRFBIlmp5emIGtPkagGI/tDW6pGomkIF16XjEbxQDKz0iQnfKNmhKban5dG+5ZBptf8TxazLUUUWVASPtZqk/pQfg+jtdGqSxuXUr9NEueuMd2SwOFptf7VyijRC5+LVIYn2GqfTwKtABhCDXHI53LSyOWalof/RvApMYpSPRqesp5eb9xs4IFme49EVcjJwEHDzQKLMcr2yNVCScBZgkUbD09j1MrVyifBRMyXp9vYGI8fl+XI/oz0m9ZfXDHwtF9LIEXq5fXIvrPmXklAlNqm0ZmHuxYqq30R7tGFVj9vCzfNlugv+nwSaAUAgyadSUxTO3Tb0hY8p2kt0Zc0Ev7eYlS8Pm4yKtVvmaIsvLQ21rSL1+GtgrwJz4WBlcYbO4lbEwbF8xw7diwvLCyMvoqVgouEg+ao1+qOMgreXyX/TiRCyaJnTg8LCwubNmqTAtqqN+JzkFDCWabluBHukeg0jeas+VZSPrx2WcJ/EiHQCoAJQSNe+V6CN5G9vXy0enPOqpYhic7TyiUOvEwvTwksgq6ZlBYOET+IVSZ3Ynrhed7Ej5iqSkB10GFAXp9rX/JGfB9eWj7WpT7jZWljoZnv+CpRBiRouFpRSjRmJUFXMwe151rbIjTK6UnOYUtY1s4Jq58mYf45twIgBN6gRAdN5rEmsidMeBlEZDxKyLKJWxPUakdU65NlRKJx+PMo1Gg60TScsUizV8QsUROGWGpTacw5zUhmHCnfSxtROjgDlvRL7xcWFlQ65+cBl/xDmtJi0bRsUw2NyDZ5UOOTsu5leYcPH1a3cNAEt0Zv03QGtwKgAE2YPM8XWQaWiNuql5g/aY8ejqU9QzwGHcFlYWEh33PPPWqMeMkXEoEIDrXAJ5g2Xp6WVqMUWG2vwZlr0dHImBpmWKJPzTRivdfqjworuqidktl5ddSsyqgOb95opsZSWyIgBbksm5vmvK3ja4WeBq0AcKBkNiGwGEOJwXtL+GhYJbcR1zD4UrtqiYoEkqZ5Rg4nj5TvvWtiUrKcex7jqmW8lgIgI7S8snu95+zTmoCVGmOpLO+ZJQhLGm6E2XvPJUPT6vT2+tHoTtarKSbS7i/xkv3dhNas9xETHjH/UtuaQisAGMiJy7cELuXRCNgrX7uvTasRQsQJSr+TCCAPf63OWgFUi0+pv7QyIk7xiBPQ6wct/8bGxuijL3lsodVP1ncExBi5xui1yxJGHi1FfQ+UpyaKhZhwSXBZWrMcT16XND9p7fRCo/kBPdLPZuHgtVWrowR87LcCWgEwBI158wkXZZSaNmKlLeFTm1faFzWNqhRFItth4VXbngjUMPhSOSXGbpUr85ZWVzV1UXmHDx/OR48eHY0TZy6RaBqNiXFtUau/NNa8bEkrlgZq9Z0XMinTHzt2LB88eNBkwlS/d7aCRtv8uxIPX4+uKC+PBrIEcEkoaDhHoLRKmRRaAcDAYpIes/MYg4RIOBnllUyohmA8gRQRVvSuZLapZcre8yZ97JUXdXhHcK2dzKU61tbW8uLiovqFt/b9iBy/SHgqv9dCPbU2yA+9rDpKNBXtB2Ku2j75JByss32tvpH5PUUmIthLjvdez/av1SoNErjgoT6YRvQZh1YAKNCECUXel5bO8iOqiPYTxcnT1qz21nz5XMJDi2KgOiJOsciY8DaV+loro0m7Iu8spqFpdpFvEGqjaYi5R0xZ3vjSeHGmXFIKSmVROZp9/8SJE3l1dXUsj2VGsuijiWLB6TRytoE2TyIrx5r5ubEx2NyPb/DXZC5KaAWAA9HOjUr0CMFpZWpRCJMIHF5flFHyejW7drTtUsu1GGGpbI8ZaHlKURRWu2rrt9JZfVnbZi8KyGN4EX9HCTjTl33H2xopUwoljSHy7wi0OULpuO/DqisKWhtq53Vkjlh0KNNLPsD7v3TSXQRaAWBAdILz9NOop6SRlphACafoJJWajSREzdQQ7QMttK9J/0WZnHToW33sRew00SAJak+CKmmGpXGNMnnOqDzhQP95aKaHh8XUaoQSpzW6t5zgGk16UErjCSWtnRHasPrDmvclGqUQ8Emdw60AcIAIaxrgaZa1jLQpw5T1es9ownuEWMo/DXxrmKalwVPUTdNVmsfoLDzkmJbMNvy/d5aExjSsXw0fq+4owyqZRTjdRPCICtGNjQ31a2net5GwbU9QyjKlP4TnO3HixGj7jqbfZVh97G08yQVhZHffErQCwIFJ7O8562YP/q5mQpTeNQWL0Xj1lZiaNlm0T/lL9UUEoqdh5jyu/VsCLMr0+btS/Lj2a5UltV3rNDnelzIyRTPNRNtS+65kc7f2FpqEfil6Sguplf0QoRlNUGvt0OiExqr0IVkESsqFNUf43LriBACAnwaQAbwskn4rvwSehPlrjk+Zpml5pbTRMjVtLVKeFVmiaWGSoGlyRQ7wjjJPD+Q+OtIPURuyS/1W0uqjwosYihYB5JnLOG2V9p+x6q0N5fXGyYrGaUq3Hm1pfWQxc6surx+sfuQCprbfat5btFlbbgkuOwEA4JsAfBTAhctBANRqh03SRSFiRvCIRiOySHigNTlk+JulpfH30qFltSEK0bRcQ8x5/BSxJmMcqVcLbeT/Zb9q2q12OpSFT6T/PM03Cl6bSuktiPqVuPIg+8UTSqXnUkHx8tVq/aWxk23XlIFp8xKCy1EAHAGwD8Bnny8B4BFuZBfCaLm1WgMHb2kbmdRaGi86xWoHz6f5CLid1spHGrS2N38TrdTCNWIukHlqyi+lk1p5jWmG3ltfyVpjHakn+q4ENcpGpJxoZBkpEJzxRxzZ2nOPRrX8Vl1NFQZLqFjmYn5NAy4rAQDgDgD/evjfFQAA3g5gGcDydddd17gDLOKjd9Pah1xqLrXlRUwOJcIoCSSOY6Qcb3J4ERvaf0+ARQme12n5XbiW5W2bYLW3NponwiRqGXLJ3h1VWCaN5rLwsxQnKz3hUltfSZmJ4KmtwrTwTK+uSP1eGzWhYs0B71S2JvC8CwAAHwPwKeX6fgCPAvhTOSAA+DXpCqCkXWtQkuga09IGOsqAol9ylo7ls3Dlz2q1KFmWdZC97JuSI5aeR4SS5uz1nO68T2v6SAsl1fJEQfZJxMyjRb54YCk3tVp3FKTixOvS6oyGcHr94wkbmY/XX/LNaeMSFabyvRVQIsei1+vlo0ePmu2MKkQRuGxWAABeA+ALQ8b/WQCXAFwEcG0p77T2Aoq+K0n80uDwgY5qLpEBl5pKRKMrCQurDE940AEnHgEvLi5WnwEc6dcok9DuS/XTJF5dXQ2b42Rdsh3WvdfftcqDddhMDU1NujLgAqtkiiwJwFK92uqIC3AvAMBqgzZOVnqrXC9Agr9bXV3Nb3nLW8a+gtagaYAKh8tGAGxC4HlcAUiwNFv+PKq1aGVHnXAegZaERiS6Z9K6rEnAtX/ZZzxdDQHXTtYISFuv1V+8bu2MWA8Xnp+c7t7B9DR23gZjPG8Jj42NwRYCfF8cb4Uq72vpSMPBo3mNsVrMMxre6QnbRx99dNP2EhrI+uTGkFFctOe8HNpxVB7qVMKxFHARhVYACLAmpfU8ClrUSVQDk1BaThJhNRFO8n8TQadpQh7OUbCiL5poqDSBSDvWtv7V2iT/W2VbeUpMynrG30XCEGXfl+hZKzdCR9FQWM/0oTFqLZ1XF/l0ZBCCZ+OXdVj1Ea3wOVyiY4smtbZys6XVdu156ZCnCFy2AqDm2qoVQM3E9GBtbS3fe++9m4TAJNEuNROKv48ATXwtWsYTXpawKuFcg5OlkZaYofbLGSOFpZZsuaU6uS/CMxPVRAdF6NAbj9Ivx10TDBZEhDoxf++juUk0anpHmj19oFcSwlp+awx6vc3RWFGfRameaB/WPK+BVgAY0OuVt0OuAeu8XP47DYhojhHtRTJaeiaXqlr5/NIIXssTaQ/XlqITkGtzdLCG5ijXhIvHGDwcSuGlkrY8GrNwkGY2L5JNOmBLPp2IPV621QLC1TsDN1qPN+a8fTzCS3uv4dCEmdcqB1Y+jzeUcJgUWgHAQJtkmpbk3Tepp7QktfJp7y1mS++jpphS+d57yUwpraw7MonkWbTykA8vrxRIx44dG3NQy/6M9Dnfu36SCcj7sTT22jhKc1Ukkq3E7Ig+am3dJdCUDkuJsPCPOIo5nfCtOig/d97L9ll94/WVpdxYvIPelb6AjzyLKkElaAXAEDxtj0AL4ay1a1vEXBpsemZpwJLxerjVOjBLabT3FqF69lmtHD6RNjY2quyeltYWZW4SyKE6Pz9vavA1oAlLrU7NrLe2tmaaq5oy7AhtyueR8GSLecl6SltdSzxLwkIyZ75C0ASBZvKMBh5w059k8jKPDD/Wxk37HxVONdAKAAa1kyPn2A6EEqxQOE0b4mn5+bHepJS4TYLXJGawEkOKlMHj7kuOwNqymwgSqf1HneTe5LZCErnQ5/Vw4S772LK3R4WexpSs8FNeV0l4WaYXDccIeOmsOcnnkzS78PmmfaEeAR4hprWXl2kJRa//LZhEELQCwIAaArW0NKsc7bl2r305TIeJ1wx6JK1mI9W0lQju9GzSJapcxdQw/0nq1phwyb4u81n4aHk8xz0xWflhneZL4dFMFrOJapbeCpRr2JZg4ThZzM3q8yYgGaY2J2UbLHyj80tj1jQG2ulmpY80tf4sCcVJab0VAApYnVoidK491Gpc2nNLoNSEeEZx8JicV0bpnVdnzmVzVGQ57k2kWtDqsRyIsq4ac4Gl7dUoHlr5Vp9ZtOw5heV/3g+1TF2W4fVHDWh9z+vy3ln4RvtbCkSPaUfKlGVYfhIL7ybQCgADIhOZPyPGvLCw4K4IZL6IoPEm5yRtqUnTRIhZwJfhpc/jJfFH+spjbJE2aPV4TktvrKN0RPQT0T69eiKMWcvD28OhVliV8Jb2eU/54PlKyocn4Grml2WO00DzGWg4Wm2y8NXuNbynAa0AmCLwFYC33bAl0bX/TQd9mkSildm0fDkxax3SJW2V30eZlCVEpLbIyysxfkpT+pI24nD1cLXwL5Vh4Srt33IbCQuHKEihWcJXE4wlYU1gmTXlL1/BWz62KCOX76KWBK0sLTx0GhFoHFoBIGDSjiWmZu03YjEXb7lXY/uu0WB4HZF00o7dtK9qcZR4aP+t9037gfc9Dz2VjCjCvKzVSCSKLKJVSjwiTMkzZ3H8rO0GpjFPouVZgpffW30oV+PaOHCfgOcfmETglZ5peGu72R47diwfPXr0hbsb6FZc04wCqok08UDTOuQ91zis5Z61BJdlEXHUxMl7tm0rj9WmKEQ059pySs8mrYd/NyC/Ayj5JUrCwuv7iBmrpGDUlivxnmbUlZauiUKhCVJLwMr0Gm3IOWCZjZrgRkqAJ7CssrVIpYWFhXzo0KGJD4MnaAWAgKj9XoNaTZOYMH/urQBKk500mAgOtNyXGo8laKYFtdqqly6iCddMOKtMzvAXFxc3fWSklTHJQUI8fQRvj1lZ+FnPa/wnJaGj3Vv0awnKKD1q80rToLW2yuda1JXVJq99vDz+rLQq8YQip8dpQCsAFNAGoMSAIhNcEnxUg406hK38Xhtz3ixgmkRlRNJqTjOL+OUEjWisFnOxJlyEQZ04cWITw5cMS8NJs1lbTM4COUa1y/4ojck8Vru8sr2+9NotGTQ/7ITTS3SlKsfda7cXAaWtvCN9p5Wl9ZH3X4smquU1UWgFgAMWc/Ge1Woq3vtoHi9tSTPzojzot5YZaMAjfyzGIRmA3IK3VG9JOPL/kb7RGH603Rbt8DjxEkPjQpDi+zWHbKmtEiY1cVq0ov2XTNyjz17vOZ8JCVHPR2ZBxL+hpbVowVMarLZo+WqUM54/Gg7aBFoBEIQIs55EMkfyNCm/pJl5YWw0ISNHRHqHV5TqkfVxrT/CJJtC7YTW6ouOW872dgReWZwZaMKahKp3xkCkXQRRoWQxR7l1hxz3SH9qZVn94+HHL42WSMhY9Xl4au0ppfGEn9ceq+xpQCsApgxNmX/J3DRJ+ZTP09g8hudN2l5v4Ji65557XP9DFG8Lz5oyolDS7GQ7JxXwGjMs9b+HU87PbXwmv/718su6eVnWOcoeo+P1SkEknau1ZtJS+702yr2xNIHLD8qp+cK+1+uFzub1xnWrmHoNtALgMoFaRlBT7sbGxmj3yKhw8f5rE6lpVILGTCxBNM1+4eXWaM2T1C/HOPIhUaRMaU6STFvz8VgrO1kOP7Eqyny1/xsbm7dojtCbLLtmHGTMvEZTXHDWOFepb6J+icsVLAGQBu9eGDA3N5eXl5e3G42pQb/fR6fTmUo5S0tLuHTpEnLOmJubw8zMTLGefr+P5eVlzM3NAQBOnz6N/fv3j9LW4ufVI8u20vf7fQCYSr/U4Bh5X4sbT9/tdrGysoL9+/ePlVHTx7y8fr+PkydPAhgocXv37sWDDz6Iu+66CzMzM6NyPZx53ZSOl1/CUT4nevryl7+M17/+9aNyaOyBcRrz6iB8lpaWcODAAXdMTp8+jdnZ2VH/ajRF5QDA8vIycs5uuV47X4iQUjqVc56Tz1+0Hci0MIBpEVWn08GBAwdw66234rbbbtvE/E+fPj02wTmQAtDpdDZNHjkhrTJK9Whly/IBoNvt4vTp03ZDnboj8PTTTxfTaEyI/i8tLWF5edmsjz+nttCzmZkZzM7OAsDoeWlsqMz19fXRPc+7a9cuvOY1r0Gn00Gn0xkxf94Oi3FTeyTjp/clHK3nN910E66++uqxMmns+f9SHYRLSsnsG17+zMyMSmOUhph9p9PB3NxcmPlzXK5I0JYFl+t1JZiAtgMm9TWQ+aHkPPPeReogR2eTfKW0q6ur+a1vfWs+evSouUVwqdxSG6XT3TpgPGoS0fwumt299MGXFpKrOZTlQSoWXrI/uC1ei2CyIFpHC5MDWh9AC5NAlPnVvJMQ+Zyfl1vCS8Lq6uqmjelIuMlDxvmvrNMCaQvnvyU8iYFqAkeLvNIiXazypYDQ4u35GRRRIJy5A7Z2C/MWnh+wBEBrAmohBLR8tt55y2/rnQS+jPfykcmg1mR07bXXYvfu3ZtMJXv37kXOGWfPnh0z3UhzkGUKoYubUFZWVkZ2/yie3NzB67t48eImc9TKysomXCxzkjSP0D03FVK/7N69u4gnAZlW5ubm0Ol0MDMzM/rfwgsDWidwCy9I4E7OaTnSgc0OUK1Ofk/O96uuumqM+Un8Inhq5Vt5o89aaAGwncC7tgOZFlqYFDwn5yTleWVqTmyKLLHKqMHTcpJbK6vIsxZa8KAVAC20MAG0TLeFFzK0PoAWWmihhR0KrQBooYUWWtih0AqAFlpooYUdCtsmAFJKP5FSeiKl9DsppX+5XXi00EILLexU2BYncErpuwB8P4C9OedeSukV24FHCy200MJOhu1aAfw4gH+Rc+4BQM75C9uERwsttNDCjoXtEgDfAuB1KaVHU0ofTykdsBKmlN6eUlpOKS0/88wzzyOKLbTQQgtXNmyZCSil9DEA1yqv3jWs908DuAXAAQAfSCndkJXPknPOvwzgl4dlPpNSutAQpZcB+GLDvC9UaNu8M6Bt886ASdr8Su3htmwFkVL6CAYmoMXh/acB3JJz3jIVP6W0rH0KfSVD2+adAW2bdwZsRZu3ywT0AIDvBoCU0rcA6GDnSfMWWmihhW2F7doK4lcA/EpK6VMA+gDeopl/WmihhRZa2DrYFgGQc+4D+OHnudpffp7ruxygbfPOgLbNOwOm3uYX1HbQLbTQQgstTA/arSBaaKGFFnYotAKghRZaaGGHwhUvAFJK/yGldHp4fTaldJq9+5mU0vnhnkR/eRvRnDpYey1diW1OKf18SunzbJy/l7274trLIaX00ymlnFJ6GXt2RbY5pfQLKaWzwzGeTyl9PXt3pbb53Smlc8N2/+eU0teyd5O3WTso+Eq9APwSgJ8d/p8FcAbAiwF8M4BPA/iq7cZxSu38LgAfA/Di4f0rruQ2A/h5AD+tPL8i28va900APgrgAoCXXeltBvA17P8/BPBvdkCbvwfAruH/XwTwi9Ns8xW/AiBIgxO33wzg3w8ffT+A+3LOvZzz7wE4D+Dbtgu/KYO119KV3GYNrvT2vgfA/wKAR3JcsW3OOX+J3V6D59p9Jbd5Pud8aXj7CIBvHP6fSpt3jAAA8DoA/zXn/OTw/hsAfI69f2r47EoAa6+lK7nN/2C4TP6VlNKfHj67YtubUroDwOdzzmfEqyu2zQCQUvpnKaXPAfibAH52+PiKbjODtwH4zeH/qbT5ijgT2Nt3KOf8weH/v4HntH8ASEr6F0xMbJO9lvACbnOhvYcA/AIGbfkFDEx9b8MLuL1Asc33YGAe2JRNeXZFtDnn/MGc87sAvCul9DMA/gGAn8MV3uZhmncBuATg1ymbkr66zVeEAMg5v8F7n1LaBeBOADezx09hYEMl+EYAvz997LYGvDanlH4cwP15YCz87ZTSn2CwkdQLts2lMSZIKR0G8KHh7Qu2vYDd5pTSazCw+54ZWDbxjQAeSyl9G67QNivwGwA+jIEAuKLbnFJ6C4A3Abh9OKeBKbV5p5iA3gDgXM75KfbsQQB3p5RenFL6ZgB/FsBvbwt204cHoO+1dEW2OaX0dez2rwL41PD/FdnenPMnc86vyDlfn3O+HgNm8Nqc89O4QtsMACmlP8tu7wBwbvj/Sm7zGwG8E8AdOecvs1dTafMVsQIIwN0YN/8g5/w7KaUPAFjBYGn193PO/307kNsCsPZaulLb/C9TSvsxWAJ/FsCPAlf8GKtwhbf5X6SUXgXgTzCIfPox4Ipv8/+BQaTPwnC190jO+cem1eZ2K4gWWmihhR0KO8UE1EILLbTQgoBWALTQQgst7FBoBUALLbTQwg6FVgC00EILLexQaAVACy200MIOhVYAtHDFQ0rpf08pvV55/hdTSh/S8mwHpJTeMdz58ZMppTMppX+VUrpq+O6zw+efTCmtpJT+aUrpxSzvR1JKfyDbk1K6T8TPt9DCCFoB0MILDtIAQrSbUtoN4Jac829tMU5fNWH+H8Nga4dbcs6vwWALjy8AuJol+67hu28DcAPGjwh8N4AfUYo+hMGGcS20sAlaAdDCCwJSStenlB5PKb0XwGMAvimldCiltJwGZx78EyPrXQA+wsp541DLPo7B9iD0/JrhRnJLKaVPpJS+f/j8pSmlDww3mvsPww325obvuiml/zWl9CiAW1NKP5xS+u3hfvX/loRCSul7UkonU0qPpZT+Y0ppRsHzXQB+POf8B8Dg3Oyc878QO2Bi+K6LwUdQPzAUcMg5PwRgQyn3vwB4w3A7lBZaGINWALTwQoJXAfh/cs7fmnO+gMFmWXMA9gL4zpTSXiXPtwM4BQAppZcAOAzg+zDYHZZvwPUuAP9fzvkABucpvDuldA2A/xHAf8s578Vgozm+n9Q1AD6Vc/4LANYA/HUA355z3g/gvwP4m2lwUMs/BvCGnPNrASwDeAdHMKX01QBmhtv6hmAoGH4Pgy0AvHR/gsFWwfuiZbewc6AVAC28kOBCzvkRdv/mlNJjAD4B4M9hcEiGhK8D8Mzw/00Afi/n/ORwa4xfY+m+B8A/SoMT4xYBvATAdQC+A8B9AJBz/hSAsyzPfwfwn4b/b8dAOCwNy7gdAzPNLUO8TgyfvwXAKwWOCWwnx5TSX07PnWB3m9Mf2o6QGnwBwNcXU7Ww46BdFrbwQoI/oj/DDbB+GsCBnPN/Syn9XxgwbQnPiufW3icJwA/mnJ8YezjcgMWAP2b7ryQA/3fO+WdE/u8DsJBz/htWITnnL6WU/iil9M0559/LOX8UwEeHDt2Oiuxg1XA9gN918CN4CQb90EILY9CuAFp4ocLXYCAQ/jCl9GcA/BUj3eMA9gz/nwPwzSmlG4f3nCl/FMBPEMNPKX3r8PlxDE6SQ0ppFsBrjHoeAnBXSukVw7S7U0qvxOAUp29PKe0ZPn/pcIdWCf8cwKE0PPN1iIcm0DD0IbwXwAM55/9m4MPhWwD8TiBdCzsMWgHQwgsShidhfQIDxvYrAE4YST8M4C8O8/wxgLcD+PDQCXyBpfsFAFcBODvcRfUXhs/fC+DlKaWzGGzLexbAHyr4rGBg658fpl0A8HU552cAvBXAvx8+fwQDU5SEQxic4/zoMN2JYfs+wdIcG+L22wAuYrjrKQCklP4LgP8I4PaU0lNpeEj4UDg+m3NeNfqnhR0M7W6gLVzxMGT2b6IIm8q8XwXgqpzzHw9XDg8B+Jacc3/KaG4JpJT+JwBfyjn/u+3GpYXLD1ofQAs7AX4KA4fuHzTI+1IMNO+rMLDz//gLhfkP4Q8A/Op2I9HC5QntCqCFFlpoYYdC6wNooYUWWtih0AqAFlpooYUdCq0AaKGFFlrYodAKgBZaaKGFHQqtAGihhRZa2KHw/wN8dwW0tc51SwAAAABJRU5ErkJggg==\n", 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\n", "text/plain": [ - "
" + "
" ] }, "metadata": { @@ -857,10 +946,12 @@ } ], "source": [ + "plt.figure(figsize=(9, 3))\n", + "\n", "x = candidate_df['phi1']\n", "y = candidate_df['phi2']\n", "\n", - "plt.plot(x, y, 'ko', markersize=0.3, alpha=0.3)\n", + "plt.plot(x, y, 'ko', markersize=0.5, alpha=0.5)\n", "\n", "plt.xlabel('ra (degree GD1)')\n", "plt.ylabel('dec (degree GD1)');" @@ -896,7 +987,7 @@ }, { "cell_type": "code", - "execution_count": 175, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -905,7 +996,7 @@ }, { "cell_type": "code", - "execution_count": 176, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ @@ -923,14 +1014,14 @@ }, { "cell_type": "code", - "execution_count": 177, + "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "-rw-rw-r-- 1 downey downey 756K Oct 15 14:33 gd1_candidates.hdf5\r\n" + "-rw-rw-r-- 1 downey downey 756K Oct 19 14:39 gd1_candidates.hdf5\r\n" ] } ], @@ -970,7 +1061,7 @@ }, { "cell_type": "code", - "execution_count": 178, + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ @@ -986,14 +1077,14 @@ }, { "cell_type": "code", - "execution_count": 179, + "execution_count": 34, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "-rw-rw-r-- 1 downey downey 1.6M Oct 15 14:33 gd1_candidates.csv\r\n" + "-rw-rw-r-- 1 downey downey 1.6M Oct 19 14:39 gd1_candidates.csv\r\n" ] } ], @@ -1012,7 +1103,7 @@ }, { "cell_type": "code", - "execution_count": 180, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -1040,7 +1131,7 @@ }, { "cell_type": "code", - "execution_count": 181, + "execution_count": 36, "metadata": {}, "outputs": [], "source": [ @@ -1056,7 +1147,7 @@ }, { "cell_type": "code", - "execution_count": 182, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -1156,7 +1247,7 @@ "2 0.223692 NaN -59.133391 -2.306901 -7.560608 -0.741800 " ] }, - "execution_count": 182, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -1167,7 +1258,7 @@ }, { "cell_type": "code", - "execution_count": 183, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -1276,7 +1367,7 @@ "2 -0.741800 " ] }, - "execution_count": 183, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -1298,9 +1389,9 @@ "source": [ "## Summary\n", "\n", - "In the previous notebook we downloaded a large dataset and then selected a small fraction of them based on proper motion.\n", + "In the previous lesson we downloaded data for a large number of stars and then selected a small fraction of them based on proper motion.\n", "\n", - "In this notebook, we improved this process by writing a more complex query that uses the database to select stars based on proper motion. This process requires more computation on the Gaia server, but then we're able to either:\n", + "In this lesson, we improved this process by writing a more complex query that uses the database to select stars based on proper motion. This process requires more computation on the Gaia server, but then we're able to either:\n", "\n", "1. Search the same region and download less data, or\n", "\n",
source_id
int64
4057468321929794432