{ "cells": [ { "cell_type": "markdown", "id": "approximate-california", "metadata": {}, "source": [ "In this notebook, I will demonstrate how to use existing SDSS software to create a commissioning design using a carton that already exists in targetdb. Specifically, we will be creating a design of all-skies." ] }, { "cell_type": "markdown", "id": "collective-joining", "metadata": {}, "source": [ "# Creating Commissioning Designs" ] }, { "cell_type": "markdown", "id": "involved-speaker", "metadata": {}, "source": [ "For this example, I will demonstrate how to create a design for a carton that is already in targetdb, specifically an all-sky design. First, we have to select all skies near some field center in targetdb." ] }, { "cell_type": "code", "execution_count": 13, "id": "specialized-mixture", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sdssdb.peewee.sdss5db import targetdb\n", "\n", "# connect to targetdb\n", "targetdb.database.connect_from_parameters(user='sdss_user',\n", " host='localhost',\n", " port=7502)" ] }, { "cell_type": "code", "execution_count": 14, "id": "coastal-gazette", "metadata": {}, "outputs": [], "source": [ "from peewee import *\n", "import numpy as np\n", "\n", "# set search radius based on field size for APO or LCO\n", "observatory = 'APO'\n", "if observatory == 'APO':\n", " r_search = 1.49\n", "else:\n", " r_serach = 0.95\n", "\n", "# specify the field center and position angle\n", "racen = 20.\n", "deccen = 20.\n", "position_angle=24.188576\n", "\n", "# specify the commissioning cartons we want to consider\n", "cartons = ['ops_sky_boss', 'ops_sky_apogee']\n", "\n", "# get all of the targets in the commissioning carton near the field center\n", "all_skies = (targetdb.Target.select(targetdb.Target.catalogid,\n", " targetdb.Target.ra,\n", " targetdb.Target.dec,\n", " targetdb.Target.pk,\n", " targetdb.CartonToTarget.priority,\n", " targetdb.CartonToTarget.value,\n", " targetdb.Cadence.label,\n", " targetdb.Carton.carton,\n", " targetdb.CartonToTarget.pk,\n", " targetdb.Magnitude.g,\n", " targetdb.Magnitude.r,\n", " targetdb.Magnitude.i,\n", " targetdb.Magnitude.z,\n", " targetdb.Magnitude.bp,\n", " targetdb.Magnitude.gaia_g,\n", " targetdb.Magnitude.rp,\n", " targetdb.Magnitude.j,\n", " targetdb.Magnitude.h,\n", " targetdb.Magnitude.k,\n", " targetdb.Category.label,\n", " targetdb.Carton.program,\n", " targetdb.Instrument.label)\n", " .join(targetdb.CartonToTarget)\n", " .join(targetdb.Cadence, JOIN.LEFT_OUTER)\n", " .switch(targetdb.CartonToTarget)\n", " .join(targetdb.Carton)\n", " .join(targetdb.Category)\n", " .switch(targetdb.CartonToTarget)\n", " .join(targetdb.Magnitude, JOIN.LEFT_OUTER)\n", " .switch(targetdb.CartonToTarget)\n", " .join(targetdb.Instrument)\n", " .where((targetdb.Carton.carton.in_(cartons)) & \n", " (targetdb.Target.cone_search(racen, deccen, r_search))))\n", "\n", "# grab the results\n", "catalogid, ra, dec, target_pk, priority, value, cadences, carton, carton_to_target_pk, g, r, i, z, bp, gaia_g, rp, j, h, k, category, program, instrument = map(list, zip(*list(all_skies.tuples())))\n", "catalogid = np.array(catalogid, dtype=np.int64)\n", "ra = np.array(ra)\n", "dec = np.array(dec)\n", "target_pk = np.array(target_pk, dtype=np.int64)\n", "priority = np.array(priority)\n", "value = np.array(value)\n", "carton = np.array(carton)\n", "carton_to_target_pk = np.array(carton_to_target_pk)\n", "category = np.array(category)\n", "program = np.array(program)\n", "instrument = np.char.upper(instrument)\n", "magnitudes = np.zeros((len(g),10))\n", "magnitudes[:, 0] = g\n", "magnitudes[:, 1] = r\n", "magnitudes[:, 2] = i\n", "magnitudes[:, 3] = z\n", "magnitudes[:, 4] = bp\n", "magnitudes[:, 5] = gaia_g\n", "magnitudes[:, 6] = rp\n", "magnitudes[:, 7] = j\n", "magnitudes[:, 8] = h\n", "magnitudes[:, 9] = k" ] }, { "cell_type": "markdown", "id": "intense-turkey", "metadata": {}, "source": [ "Next, we will want to create the design using using Robostrategy. First though, lets convert ra,dec to FPS x,y to visualize the possible targets. To do this, we will need to also specify the observation time of the design in Julian Days." ] }, { "cell_type": "code", "execution_count": 15, "id": "senior-point", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\u001b[1;33m[WARNING]: \u001b[0m\u001b[0;39mWarning! Wavelengths not supplied, defaulting to 6231 angstrom\u001b[0m \u001b[0;36m(CoordIOUserWarning)\u001b[0m\n" ] } ], "source": [ "from coordio.utils import radec2wokxy\n", "import robostrategy.obstime as obstime\n", "import coordio.time\n", "\n", "# specify observation time\n", "ot = obstime.ObsTime(observatory=observatory.lower())\n", "obsTime = coordio.time.Time(ot.nominal(lst=racen)).jd\n", "\n", "# convert to x,y\n", "x, y, fieldWarn, HA, PA_coordio = radec2wokxy(ra=ra,\n", " dec=dec,\n", " coordEpoch=np.array([2457174] * len(ra)),\n", " waveName=np.array(list(map(lambda x:x.title(), instrument))),\n", " raCen=racen,\n", " decCen=deccen,\n", " obsAngle=position_angle,\n", " obsSite=observatory,\n", " obsTime=obsTime)" ] }, { "cell_type": "markdown", "id": "textile-roots", "metadata": {}, "source": [ "To visualize our possible targets for the design, below is a plot of the possible targets in the FPS focal plane:" ] }, { "cell_type": "code", "execution_count": 16, "id": "chinese-tampa", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import matplotlib.pylab as plt\n", "%matplotlib inline\n", "\n", "plt.rcParams.update({'font.size': 18})\n", "\n", "plt.figure(figsize=(10,10))\n", "plt.scatter(x[instrument == 'APOGEE'], y[instrument == 'APOGEE'],\n", " c='k', marker='.', label='APOGEE Sky')\n", "plt.scatter(x[instrument == 'BOSS'], y[instrument == 'BOSS'],\n", " c='r', marker='.', label='BOSS Sky')\n", "plt.grid()\n", "plt.legend()\n", "plt.xlabel('x (mm)')\n", "plt.ylabel('y (mm)')\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "coral-enemy", "metadata": {}, "source": [ "Now we can finally build the design. This requires that we create a specially formatted array for Robostrategy to build the design. This is demonstrated below." ] }, { "cell_type": "code", "execution_count": 17, "id": "permanent-turning", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\u001b[1;33m[WARNING]: \u001b[0m\u001b[0;39mPassing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\u001b[0m \u001b[0;36m(FutureWarning)\u001b[0m\n", "\u001b[1;33m[WARNING]: \u001b[0m\u001b[0;39melementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\u001b[0m \u001b[0;36m(FutureWarning)\u001b[0m\n" ] } ], "source": [ "import robostrategy.field as field\n", "import roboscheduler.cadence as cadence\n", "from sdssdb.peewee.sdss5db import targetdb\n", "\n", "# connect to targetdb\n", "targetdb.database.connect_from_parameters(user='sdss_user',\n", " host='localhost',\n", " port=7502)\n", "\n", "# need to load cadences before building designs\n", "cadence.CadenceList().fromdb(version='v1')\n", "# cadencelist = cadence.CadenceList()\n", "# cadencelist.fromfits(filename='rsCadences-test-designmode-2-apo.fits', unpickle=False)\n", "\n", "# set cadence. must be in list of loaded cadences\n", "# set cadence here because NONEs currently for sky carton in targetdb\n", "cad = 'bright_1x1'\n", "\n", "# create the field object\n", "f = field.Field(racen=racen, deccen=deccen, pa=position_angle,\n", " field_cadence=cad, observatory=observatory.lower())\n", "\n", "# set the required skies, in this case all fibers\n", "f.required_calibrations['sky_boss'] = [375]\n", "f.required_calibrations['sky_apogee'] = [125]\n", "f.required_calibrations['standard_boss'] = [0]\n", "f.required_calibrations['standard_apogee'] = [0]\n", "\n", "# create array for RS field\n", "N = len(ra)\n", "# these are datatypes from robostrategy.Field\n", "targets_dtype = np.dtype([('ra', np.float64),\n", " ('dec', np.float64),\n", " ('epoch', np.float32),\n", " ('pmra', np.float32),\n", " ('pmdec', np.float32),\n", " ('parallax', np.float32),\n", " ('lambda_eff', np.float32),\n", " ('delta_ra', np.float64),\n", " ('delta_dec', np.float64),\n", " ('magnitude', np.float32, 7),\n", " ('x', np.float64),\n", " ('y', np.float64),\n", " ('within', np.int32),\n", " ('incadence', np.int32),\n", " ('priority', np.int32),\n", " ('value', np.float32),\n", " ('program', np.unicode_, 30),\n", " ('carton', np.unicode_, 50),\n", " ('category', np.unicode_, 30),\n", " ('cadence', np.unicode_, 30),\n", " ('fiberType', np.unicode_, 10),\n", " ('catalogid', np.int64),\n", " ('carton_to_target_pk', np.int64),\n", " ('rsid', np.int64),\n", " ('target_pk', np.int64),\n", " ('rsassign', np.int32)])\n", "\n", "# create an empty array\n", "targs = np.zeros(N, dtype=targets_dtype)\n", "\n", "# fill in the relevant columns\n", "targs['ra'] = ra\n", "targs['dec'] = dec\n", "targs['epoch'] = np.zeros(N, dtype=np.float32) + 2015.5\n", "targs['x'] = x\n", "targs['y'] = y\n", "targs['within'] = np.zeros(N, dtype=np.int32) + 1\n", "targs['incadence'] = np.zeros(N, dtype=np.int32) + 1\n", "targs['priority'] = priority\n", "targs['value'] = value\n", "targs['program'] = program\n", "targs['carton'] = carton\n", "targs['category'] = category\n", "targs['cadence'] = np.array([cad] * N, dtype='" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "f.plot(iexp=0)" ] }, { "cell_type": "markdown", "id": "82690a17", "metadata": {}, "source": [ "To save the design, you can then export it as a fits file." ] }, { "cell_type": "code", "execution_count": 20, "id": "0b8290d3", "metadata": {}, "outputs": [], "source": [ "f.tofits(filename='comm_all_skies_example.fits')" ] }, { "cell_type": "markdown", "id": "irish-vehicle", "metadata": {}, "source": [ "# Checking Commissioning Design with Mugatu" ] }, { "cell_type": "markdown", "id": "sublime-madagascar", "metadata": {}, "source": [ "Finally, if you have created a design to your liking, you can validate the design once more using Mugatu. To do this, we will use the results of the above design to create a mugatu.FPSDesign object. Designs can be easily loaded directly from the fits file you created above." ] }, { "cell_type": "code", "execution_count": 21, "id": "formed-discovery", "metadata": {}, "outputs": [], "source": [ "from mugatu.fpsdesign import FPSDesign\n", "\n", "# create a mugatu.FPSDesign object that is specified as a manual design\n", "fps_design = FPSDesign(design_pk=-1,\n", " obsTime=obsTime,\n", " design_file='comm_all_skies_example.fits',\n", " manual_design=True,\n", " exp=0)" ] }, { "cell_type": "markdown", "id": "after-expert", "metadata": {}, "source": [ "Once loaded you can validate the design. If no errors come up, your design is valid and passed all deadlock and collision tests!" ] }, { "cell_type": "code", "execution_count": 22, "id": "expected-plaintiff", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\u001b[1;33m[WARNING]: \u001b[0m\u001b[0;39mDesign does not meet minimum BOSS standards for DesignMode\u001b[0m \u001b[0;36m(MugatuWarning)\u001b[0m\n", "\u001b[1;33m[WARNING]: \u001b[0m\u001b[0;39mDesign does not meet minimum APOGEE standards for DesignMode\u001b[0m \u001b[0;36m(MugatuWarning)\u001b[0m\n", "\u001b[1;33m[WARNING]: \u001b[0m\u001b[0;39mDesign does not meet FOV criteria for BOSS standards for DesignMode\u001b[0m \u001b[0;36m(MugatuWarning)\u001b[0m\n", "\u001b[1;33m[WARNING]: \u001b[0m\u001b[0;39mDesign does not meet FOV criteria for APOGEE standards for DesignMode\u001b[0m \u001b[0;36m(MugatuWarning)\u001b[0m\n" ] } ], "source": [ "fps_design.validate_design()" ] }, { "cell_type": "markdown", "id": "13fc77f0", "metadata": {}, "source": [ "If any warnings come up (i.e. any assignment removed due to deadlocks or collisions), you can check which targets were removed by calling the below)." ] }, { "cell_type": "code", "execution_count": 23, "id": "08e2b093", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fps_design.targets_unassigned" ] }, { "cell_type": "code", "execution_count": 24, "id": "28654e9c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fps_design.targets_collided" ] }, { "cell_type": "code", "execution_count": null, "id": "dcbdcb98", "metadata": {}, "outputs": [], "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": "3.9.10" } }, "nbformat": 4, "nbformat_minor": 5 }