{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Plot with SPOCK" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1- Phase plot" ] }, { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "### 1.1 Effective coverage " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we present a function to plot the phase coverage of a given target on a range of periods. The user will have to give:\n", "\n", "* Th target name, ex: `target = 'Sp1245-5721'`\n", "\n", "* Lower boundary of the period range, `pmin = 0.1`\n", "\n", "* upper boundary of the period range, `pmax = 3.1`" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "**Note:** It can happen hat *SPOCK* does not find light curve for a target so the coverage appears nul when it's not. This bug will be solved shortly.\n", "\n", "
" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[32mINFO: \u001b[30m Please add password.csv file in: /Users/elsaducrot/elsenv/lib/python3.7/site-packages/SPOCK-0.0.1-py3.7.egg/SPOCK/credentials/\n", "\u001b[32mINFO: \u001b[30m OK Password file exists\n", "\u001b[32mINFO: \u001b[30mDownloading target list from STARGATE.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING: IERSStaleWarning: leap-second file is expired. [astropy.utils.iers.iers]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\u001b[32mINFO: \u001b[30mDownloading LC of Nemesis-3.01 33632 on Ganymede the 20210511\n", "\u001b[31mERROR: \u001b[30mCan not download LC of Nemesis-3.01 33632 on Ganymede the 20210511\n", "\u001b[32mINFO: \u001b[30mDownloading LC of Nemesis-3.01 33632 on Ganymede the 20210627\n", "\u001b[32mINFO: \u001b[30mDownloading LC of Nemesis-3 33632 on Io the 20210917\n", "\u001b[32mINFO: \u001b[30mDownloading LC of Nemesis-3 33632 on Io the 20210918\n", "\u001b[32mINFO: \u001b[30mDownloading LC of Nemesis-3 33632 on Io the 20210921\n", "\u001b[32mINFO: \u001b[30mDownloading LC of Nemesis-3 33632 on Ganymede the 20211021\n", "\u001b[32mINFO: \u001b[30mDownloading LC of Nemesis-3 33632 on Ganymede the 20211022\n", "\u001b[32mINFO: \u001b[30mDownloading LC of Nemesis-3 33632 on Ganymede the 20211023\n", "\u001b[32mINFO: \u001b[30mDownloading LC of Nemesis-3 33632 on Ganymede the 20211024\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\u001b[33mWARNING: \u001b[30m If you feel the coverage is not consistent with the number of hours observed check if the exposuretime has been changed along the observations. \n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import SPOCK.plots_scheduler as SPOCKplot\n", "\n", "SPOCKplot.phase_coverage_given_target(target='Nemesis-3.01',pmin=0,pmax=3.1)\n", " " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1.2 Annulus phase plot" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First let's download all lighgt curve for a given target and plot all LCs obtained by the pipeline." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[32mINFO: \u001b[30mDownloading LC of Nemesis-3.01 33632 on Ganymede the 20210511\n", "\u001b[31mERROR: \u001b[30mCan not download LC of Nemesis-3.01 33632 on Ganymede the 20210511\n", "\u001b[32mINFO: \u001b[30mDownloading LC of Nemesis-3.01 33632 on Ganymede the 20210627\n", "\u001b[32mINFO: \u001b[30mDownloading LC of Nemesis-3 33632 on Io the 20210917\n", "\u001b[32mINFO: \u001b[30mDownloading LC of Nemesis-3 33632 on Io the 20210918\n", "\u001b[32mINFO: \u001b[30mDownloading LC of Nemesis-3 33632 on Io the 20210921\n", "\u001b[32mINFO: \u001b[30mDownloading LC of Nemesis-3 33632 on Ganymede the 20211021\n", "\u001b[32mINFO: \u001b[30mDownloading LC of Nemesis-3 33632 on Ganymede the 20211022\n", "\u001b[32mINFO: \u001b[30mDownloading LC of Nemesis-3 33632 on Ganymede the 20211023\n", "\u001b[32mINFO: \u001b[30mDownloading LC of Nemesis-3 33632 on Ganymede the 20211024\n" ] }, { "data": { "text/plain": [ "(0.98, 1.02)" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import SPOCK.plots_scheduler as SPOCKplot\n", "import matplotlib.pyplot as plt\n", "\n", "t, diff_flux, exposures, dates, target_name, times = SPOCKplot.get_all_LCS(\n", " gaia_id_target = '4920061410401733632')\n", "\n", "plt.plot(t,diff_flux,'.',)\n", "plt.ylim(0.98,1.02)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now, let's fix the reference timing and period of an hypothetical planet and plot a vizualisation plot of the coverage of this period with the current observations." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/elsaducrot/elsenv/lib/python3.7/site-packages/SPOCK-0.0.1-py3.7.egg/SPOCK/plots_scheduler.py:768: VisibleDeprecationWarning:\n", "\n", "Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.\n", "\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "t0 = 2459512.791\n", "period = 5.2109213\n", "SPOCKplot.plot_annulus_phase_covered(times=times, period=period, target_name=target_name,t0=t0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, you can plot the phase folded LC for a given period to see if a transit shape actually stands out" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "SPOCKplot.phase_folded_LC(t,diff_flux,period,t0,x_lim_phase=0.02)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2- Visibility plot" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In a similar way as visibility plot [websites](http://www.not.iac.es/observing/forms/visibility/), *SPOCK* gives the option to plot the visibility of a target over night from all SPECULOOS observatories. The user simply has to enter:\n", "\n", "* The name of the site, ex: `name_observatory = 'SSO'`\n", "\n", "* The date of the night (start set at 3p.m by default to avoid confusion between sites), ex: `day = Time('2020-10-12 15:00:00')`\n", "\n", "* Target name, ex: `target = 'Sp0439-3235'`\n", "\n", "Note that this plot does not specify the distance to the moon yet. " ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import SPOCK.plots_scheduler as SPOCKplot\n", "from astropy.time import Time\n", "\n", "#SPOCKplot.airmass_altitude_plot_given_target(name_observatory='SSO',day=Time('2020-12-10 15:00:00'),\n", "# target='Sp0000-1245')\n", "SPOCKplot.airmass_altitude_plot_given_target(name_observatory=\"SSO\",\\\n", " day=Time('2020-12-10 15:00:00'),\\\n", " target='Sp0000-1245')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 3- Gant chart of **night_blocks** " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "SPOCKplot gives the possibility to draw a gant chart of all observations on your local database scheduled with *SPOCK* or on a give date range. The plot will be automatic open in another window and is interactive. When passing on a block **night_blocks** start time, filter and exposure time will be displayed." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### All **night_blocks** ever produced" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "With ``gantt_chart_all()`` the user plots the night blocks from the whole **local** databse (can take up to 30-40 seconds)." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "import SPOCK.plots_scheduler as SPOCKplot\n", "\n", "SPOCKplot.gantt_chart_all()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### **night_blocks** on a specific date range" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this case the user must specify `date_start` and `date_end` in addition to a list of SPECULOOS telescopes." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "from astropy.time import Time\n", "import SPOCK.plots_scheduler as SPOCKplot\n", "\n", "day = Time('2020-12-10')\n", "SPOCKplot.gantt_chart(date_start=day,date_end=day+1,telescope=['Artemis','Io'])\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.9" } }, "nbformat": 4, "nbformat_minor": 4 }