From 182f7b45edf28ff35db0eff15e565521a8a6f94f Mon Sep 17 00:00:00 2001 From: Hugo Buddelmeijer Date: Mon, 26 Feb 2024 22:08:52 +0100 Subject: [PATCH 1/8] Add functionality required to get LMS / IFU working again --- METIS/METIS_DET_IFU.yaml | 5 +++-- METIS/METIS_DET_IMG_N_Aquarius.yaml | 1 + METIS/default.yaml | 3 +++ 3 files changed, 7 insertions(+), 2 deletions(-) diff --git a/METIS/METIS_DET_IFU.yaml b/METIS/METIS_DET_IFU.yaml index ad34a5c5..ee5df3ba 100644 --- a/METIS/METIS_DET_IFU.yaml +++ b/METIS/METIS_DET_IFU.yaml @@ -9,6 +9,7 @@ changes: - 2021-12-16 (OC) some rearrangements properties: + image_plane_id: 0 temperature: -233 dit: "!OBS.dit" ndit: "!OBS.ndit" @@ -18,7 +19,7 @@ properties: readout_noise: 70 # electrons, AI on RvB: check layout: file_name: "FPA_metis_lms_layout.dat" - quantum_efficiency: + qe_curve: file_name: "QE_detector_H2RG_METIS.dat" linearity: file_name: "FPA_linearity_HxRG.dat" @@ -31,7 +32,7 @@ effects: kwargs: filename: "!DET.layout.file_name" - - name: qe_curve + - name: quantum_efficiency description: Quantum efficiency curves for each detector class: QuantumEfficiencyCurve kwargs: diff --git a/METIS/METIS_DET_IMG_N_Aquarius.yaml b/METIS/METIS_DET_IMG_N_Aquarius.yaml index 6e2afafb..4f219458 100644 --- a/METIS/METIS_DET_IMG_N_Aquarius.yaml +++ b/METIS/METIS_DET_IMG_N_Aquarius.yaml @@ -12,6 +12,7 @@ changes: properties: detector: Raytheon Aquarius + image_plane_id: 0 temperature: -265 dit: "!OBS.dit" ndit: "!OBS.ndit" diff --git a/METIS/default.yaml b/METIS/default.yaml index a3a6a6a2..25ec32c4 100644 --- a/METIS/default.yaml +++ b/METIS/default.yaml @@ -55,6 +55,9 @@ properties: obsname: "MyScienceTest" ra: 0.0 dec: 0.0 + # These defaults are overruled by the individual modes: + filter_name: open + nd_filter_name: open mode_yamls: - object: observation From 9535301c36f302466a013103ad1f9e096d073075 Mon Sep 17 00:00:00 2001 From: Hugo Buddelmeijer Date: Mon, 26 Feb 2024 22:09:17 +0100 Subject: [PATCH 2/8] Add IFU example notebook --- .../docs/example_notebooks/IFU-example.ipynb | 468 ++++++++++++++++++ 1 file changed, 468 insertions(+) create mode 100644 METIS/docs/example_notebooks/IFU-example.ipynb diff --git a/METIS/docs/example_notebooks/IFU-example.ipynb b/METIS/docs/example_notebooks/IFU-example.ipynb new file mode 100644 index 00000000..dfb3f312 --- /dev/null +++ b/METIS/docs/example_notebooks/IFU-example.ipynb @@ -0,0 +1,468 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "f915a497-1261-4344-b407-666a0c0bff29", + "metadata": {}, + "outputs": [], + "source": [ + "import scopesim as sim\n", + "from astropy import units as u\n", + "from matplotlib import pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "e7b3bfcc-63ab-48a2-8016-358c735709c0", + "metadata": {}, + "outputs": [], + "source": [ + "cmd = sim.UserCommands(\n", + " use_instrument=\"METIS\",\n", + " set_modes=['lms'],\n", + " properties={\n", + " \"!OBS.wavelen\": 3.555,\n", + "\n", + " # These !SIM.spectral_* properties make the simulation faster, but less precise.\n", + " # Comment them out for your final simulations.\n", + " # \"!SIM.spectral_bin_width\": 1e-3,\n", + " # \"!SIM.spectral_resolution\": 1000,\n", + " \n", + " })\n", + "\n", + "lms = sim.OpticalTrain(cmd)\n", + "src = sim.source.source_templates.star(flux=0.01 * u.Jy, x=0, y=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "2579348d-3c45-4709-9d4c-309fa72904f7", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " FOVs: 0%| | 0/1 [00:00" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ip = lms.image_planes[0]\n", + "\n", + "plt.imshow(ip.data)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "720373cf-e383-42d5-818f-73e9d4828352", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[32mastar.scopesim.effects.electronic - Requested exposure time: 3600.000 s\u001b[0m\n", + "\u001b[32mastar.scopesim.effects.electronic - Exposure parameters: DIT=1800.000 s NDIT=2\u001b[0m\n", + "\u001b[32mastar.scopesim.effects.electronic - Total exposure time: 3600.000 s\u001b[0m\n", + "\u001b[32mastar.scopesim.detector.detector_array - Extracting from 4 detectors...\u001b[0m\n", + "\u001b[32mastar.scopesim.effects.electronic - Requested exposure time: 3600.000 s\u001b[0m\n", + "\u001b[32mastar.scopesim.effects.electronic - Exposure parameters: DIT=1800.000 s NDIT=2\u001b[0m\n", + "\u001b[32mastar.scopesim.effects.electronic - Total exposure time: 3600.000 s\u001b[0m\n" + ] + } + ], + "source": [ + "hdul = lms.readout(exptime=3600.)[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "2abde4cd-de93-4bd7-af67-caaeb044ab8f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "5" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(hdul)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "67c4d285-308a-49d7-8c90-841de71f89c2", + "metadata": {}, + "outputs": [], + "source": [ + "data_raw = hdul[1].data" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "6647fcce-6f82-46f3-8c76-588926ec8e53", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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"\u001b[32mastar.scopesim.effects.spectral_trace_list_utils - Rectifying Slice 3\u001b[0m\n", + "\u001b[32mastar.scopesim.effects.spectral_trace_list_utils - 3.53 .. 3.58 um\u001b[0m\n", + "\u001b[32mastar.scopesim.effects.spectral_trace_list_utils - Bin width 1e-05 um\u001b[0m\n", + "\u001b[32mastar.scopesim.effects.spectral_trace_list_utils - Rectifying Slice 4\u001b[0m\n", + "\u001b[32mastar.scopesim.effects.spectral_trace_list_utils - 3.53 .. 3.58 um\u001b[0m\n", + "\u001b[32mastar.scopesim.effects.spectral_trace_list_utils - Bin width 1e-05 um\u001b[0m\n", + "\u001b[32mastar.scopesim.effects.spectral_trace_list_utils - Rectifying Slice 5\u001b[0m\n", + "\u001b[32mastar.scopesim.effects.spectral_trace_list_utils - 3.53 .. 3.58 um\u001b[0m\n", + "\u001b[32mastar.scopesim.effects.spectral_trace_list_utils - Bin width 1e-05 um\u001b[0m\n", + "\u001b[32mastar.scopesim.effects.spectral_trace_list_utils - Rectifying Slice 6\u001b[0m\n", + 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"data": { + "text/plain": [ + "(5517, 28, 110)" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rectified.data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "6f244780-d0fc-41da-9580-c04dcdb4912c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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XL8a2bdsQHq7SALT3dGdj57sSpew7pMQqLy9HXV0dxo8fD6fTCafTiUOHDmHDhg1wOp1ITEw0rOzu5X4ru65s6jqO/VGZP7Kyc7vdhtlsxwYAg4fUdVm+J0iJlZOTgxMnTqCiosLYJk6ciDlz5hh/W83K7tcziQ8uJEpvW4h7W0Mi61jZ/RmmrsrFsoqVnZE6/I+FxLIqf4ZY2j8bqoTFkkB7sYgtocThFRYS8JszJWiP5p5SYYaPuaQslvZiZcT8piyW9mL9h/uysljai/VW2X8qi6W9WK4r6gYOtRfL3maRobCHAvZWNgf9xeLHHXPQXyzudZCAK3gJuM6SgCfgmoP2YrV7uT9LmEA0L6ETxn2ZH6RNQXux/H14hYUwToUTcLUXK+jmK0sYy8yDfyjgxZni8NodCfiVfTLwsl9xeI20BAFOSsUJRLBYwtj8nGcJ4+cuGgmc3PknjPMm92cJw6mDBAHudRAn2IcreGHCbqgbv9deLO7PkoEreAl4roM43PknA19Z4gTDOc8ShleFycC3oTi2AbeVxdJeLLoUqSyW9mI5fZzBC2M3a9xwzZo1sNlsIdvIkSON41azsAOgtIKXcgxZvXo1jR49mi5fvmxsV69eNY5bxcKO6K5jSPq/TLJXWb16NY0dO7bLY1aysCO6K9bwBSbaq5w5cwYpKSkYMmQI5syZg5qaGgDmWtgB3dvYmZaUZmVlYevWrdizZw82bdqECxcuYNq0aWhsbPzLLOy6o7i4GDExMcaWmpoKQG2VJdWNOHPmTOPvzMxMZGVlYdCgQfj888+7dUz7qygqKsLSpUuNzz6fD6mpqea1hvfj9XoxfPhwnD17FklJSaZZ2AHd29ippFdi3bp1C+fOnUNycjImTJhgOQs7APCr9HGUaQ2WLVtGBw8epAsXLtD3339Pubm5FB8fT3V1dURkHQs7ontShwKTUof8/HxKTk4ml8tF/fv3p/z8fDp79qxx3CoWdkT3pA7/ZBu7B9Ih1tBCtrETxsEvKRLHzlO7JeCeUnPQXyxeI20OLJYE2osVcKmLpb1YQbZXEYdf5y6BvVVhLHWhrImTxZKAM3hxbMRTjkyBxZJAe7HIxhNDhOE8SwZuDcVp86qLpb1Y/iEtymJpL1ZYtbpRVu3F4scdCdrVvd5Qf7GcGQ3KYmkvVnNNtLJY2opF//8AHXGmPeRzb9BWrOvXrwMAznz6dsjn3qCtWHFxcQCAqqqqkM+9QVux7PY7Py0mJibkc69i9jrC3wgWSwJtxXK73Vi9ejU8Hg9Wr14Nt9vd65g2UtGm/k3Q9sr6M2CxJGCxJGCxJGCxJNBCrOLiYkyaNAnR0dFISEjA2LFj0b9/f4SHhyMrKwtHjx7FE0880WkVbkFBgdwX9XomvQXIy8ujLVu2UFVVFb399ttks9mob9++VFZWRgsWLCCv10tTpkyhBQsWhKzClV1IoIVY9zJ58mSaP38+AaBDhw5RIBCglJQUSktLo8WLF/cqtha3YQdtbW0oLy/HxIkTAdzpabDb7cjNzYXP58O2bdsQHx+PjIwMFBUV4fZtOYMMhZMIzefatWsIBAL45JNPMHXqVGRkZAC4sxI2OjoamzdvRkpKCiorK7FixQpUV1fjyy+/FI6vlVgdnD9/HmVlZSH7EhISkJeXBwAYM2YMkpOTkZOTg3PnzmHo0KFCcbW6Dd966y0Ad/wnBgwYYOy/dzVtB1lZWQCAs2fPCsfXQiwiwqJFi7Bz505kZmYavaMAEAwGsW/fvk4rYSsqKgAAycnJwt+jxW1YWFiITz/9FDt27MBPP/2EV155Benp6Zg+fTo2b94Mn8+Hmzdvory8HH379kVlZSVeffVVTJ8+HZmZmeJfpKS9NhncmSvTaXM4HDR58mTasWMHTZ8+neLi4sjtdlN6ejotX75cOs/i/iwJtKiz/ipYLAlYLAlYLAlYLAlYLAlYLAlYLAlYLAlYLAlYLAn+D67u2VA3qMllAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(rectified.data[:,:,3])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b2b798af-2bbd-455e-b42b-b4738e36100c", + "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": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From bdd43cbf37bfbe8bd0348c735d957b279ea8acda Mon Sep 17 00:00:00 2001 From: Hugo Buddelmeijer Date: Mon, 26 Feb 2024 23:19:26 +0100 Subject: [PATCH 3/8] Some currsys fixes --- ELT/tests/test_TER_properties.py | 13 ++++++++----- HAWKI/test_hawki/test_full_package_hawki.py | 12 ++++++------ WFC3/test_wfc3/test_full_package_wfc3_ir.py | 12 ++++++------ docs/code/generate_rst_pipeline.py | 1 - 4 files changed, 20 insertions(+), 18 deletions(-) diff --git a/ELT/tests/test_TER_properties.py b/ELT/tests/test_TER_properties.py index 18012267..665625c2 100644 --- a/ELT/tests/test_TER_properties.py +++ b/ELT/tests/test_TER_properties.py @@ -35,13 +35,16 @@ def test_eso_vs_scopesim_throughput(): ## .todo: the values are not correct def test_eso_vs_scopesim_emission(): - rc.__currsys__["!ATMO.temperature"] = 0. - rc.__currsys__["!TEL.temperature"] = "!ATMO.temperature" - rc.__currsys__["!TEL.etendue"] = (1 * u.m * u.arcsec)**2 + cmds = UserCommands({ + "!ATMO.temperature": 0., + "!TEL.temperature": "!ATMO.temperature", + "!TEL.etendue": (1 * u.m * u.arcsec)**2, + }) - slist = sim.effects.SurfaceList(filename="LIST_mirrors_ELT.tbl") + slist = sim.effects.SurfaceList(filename="LIST_mirrors_ELT.tbl", cmds=cmds) ter = sim.effects.TERCurve(filename="TER_ELT_5_mirror.dat", - temperature="!ATMO.temperature") + temperature="!ATMO.temperature", + cmds=cmds) wave = np.linspace(0.3, 12.5, 100) * u.um sl_flux = slist.emission(wave) diff --git a/HAWKI/test_hawki/test_full_package_hawki.py b/HAWKI/test_hawki/test_full_package_hawki.py index e04b5d79..3cd7f7de 100644 --- a/HAWKI/test_hawki/test_full_package_hawki.py +++ b/HAWKI/test_hawki/test_full_package_hawki.py @@ -70,10 +70,10 @@ def test_works_seamlessly_for_hawki_package(self, capsys): opt["detector_array_list"].include = True opt.update() - # test that the major values have been updated in rc.__currsys__ - assert rc.__currsys__["!TEL.area"].value == approx(52.02, rel=1e-3) - assert rc.__currsys__["!TEL.etendue"].value == approx(0.58455, rel=1e-3) - assert rc.__currsys__["!INST.pixel_scale"] == approx(0.106, rel=1e-3) + # test that the major values have been updated + assert opt.cmds["!TEL.area"].value == approx(52.02, rel=1e-3) + assert opt.cmds["!TEL.etendue"].value == approx(0.58455, rel=1e-3) + assert opt.cmds["!INST.pixel_scale"] == approx(0.106, rel=1e-3) # test that OpticalTrain builds properly assert isinstance(opt, scopesim.OpticalTrain) @@ -137,8 +137,8 @@ def test_works_seamlessly_for_hawki_package(self, capsys): plt.imshow(hdu[i].data) plt.show() - dit = rc.__currsys__["!OBS.dit"] - ndit = rc.__currsys__["!OBS.ndit"] + dit = opt.cmds["!OBS.dit"] + ndit = opt.cmds["!OBS.ndit"] assert np.average(hdu[1].data) == approx(ndit * dit * 0.1, abs=0.5) def test_system_transmission_is_similar_to_eso_etc(self): diff --git a/WFC3/test_wfc3/test_full_package_wfc3_ir.py b/WFC3/test_wfc3/test_full_package_wfc3_ir.py index 64a5ae21..9a263416 100644 --- a/WFC3/test_wfc3/test_full_package_wfc3_ir.py +++ b/WFC3/test_wfc3/test_full_package_wfc3_ir.py @@ -75,10 +75,10 @@ def test_works_seamlessly_for_wfc3_package(self, capsys): cmd = scopesim.UserCommands(use_instrument="WFC3") opt = scopesim.OpticalTrain(cmd) - # test that the major values have been updated in rc.__currsys__ - assert rc.__currsys__["!TEL.area"].value == approx(4.453, rel=1e-3) - assert rc.__currsys__["!TEL.etendue"].value == approx(0.0753, rel=1e-3) - assert rc.__currsys__["!INST.pixel_scale"] == approx(0.13, rel=1e-3) + # test that the major values have been updated + assert opt.cmds["!TEL.area"].value == approx(4.453, rel=1e-3) + assert opt.cmds["!TEL.etendue"].value == approx(0.0753, rel=1e-3) + assert opt.cmds["!INST.pixel_scale"] == approx(0.13, rel=1e-3) # test that OpticalTrain builds properly assert isinstance(opt, scopesim.OpticalTrain) @@ -138,8 +138,8 @@ def test_works_seamlessly_for_wfc3_package(self, capsys): plt.imshow(hdu[0].data) plt.show() - dit = rc.__currsys__["!OBS.dit"] - ndit = rc.__currsys__["!OBS.ndit"] + dit = opt.cmds["!OBS.dit"] + ndit = opt.cmds["!OBS.ndit"] assert np.average(hdu[1].data) == approx(ndit * dit * 0.048, abs=1) diff --git a/docs/code/generate_rst_pipeline.py b/docs/code/generate_rst_pipeline.py index a1efe13e..fe8491aa 100644 --- a/docs/code/generate_rst_pipeline.py +++ b/docs/code/generate_rst_pipeline.py @@ -51,7 +51,6 @@ def make_micado_rst_files(): "SPEC_3000x50"] cmd = sim.UserCommands(use_instrument="MICADO", set_modes=all_modes) - rc.__currsys__ = cmd opt_els = [] for yaml in cmd.yaml_dicts: From 486b0113be2f2af51f0fe41a841fdda759037b67 Mon Sep 17 00:00:00 2001 From: Hugo Buddelmeijer Date: Mon, 26 Feb 2024 23:33:02 +0100 Subject: [PATCH 4/8] Fix last test --- ELT/tests/test_TER_properties.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/ELT/tests/test_TER_properties.py b/ELT/tests/test_TER_properties.py index 665625c2..56ec3941 100644 --- a/ELT/tests/test_TER_properties.py +++ b/ELT/tests/test_TER_properties.py @@ -9,6 +9,7 @@ import matplotlib.pyplot as plt import scopesim as sim from scopesim import rc +from scopesim import UserCommands TOP_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), "../")) rc.__search_path__ += [TOP_PATH] @@ -35,7 +36,7 @@ def test_eso_vs_scopesim_throughput(): ## .todo: the values are not correct def test_eso_vs_scopesim_emission(): - cmds = UserCommands({ + cmds = UserCommands(properties={ "!ATMO.temperature": 0., "!TEL.temperature": "!ATMO.temperature", "!TEL.etendue": (1 * u.m * u.arcsec)**2, From df65ef14e179e1dab14f7e3e378acfbd285db7d6 Mon Sep 17 00:00:00 2001 From: Hugo Buddelmeijer Date: Tue, 27 Feb 2024 00:30:01 +0100 Subject: [PATCH 5/8] Fix from_currsys --- .../demos/demo_auto_exposure.ipynb | 31 ++++++++++++------- 1 file changed, 20 insertions(+), 11 deletions(-) diff --git a/METIS/docs/example_notebooks/demos/demo_auto_exposure.ipynb b/METIS/docs/example_notebooks/demos/demo_auto_exposure.ipynb index 78839d82..d9828228 100644 --- a/METIS/docs/example_notebooks/demos/demo_auto_exposure.ipynb +++ b/METIS/docs/example_notebooks/demos/demo_auto_exposure.ipynb @@ -86,9 +86,9 @@ "outputs": [], "source": [ "outimg = metis.readout()[0][1].data \n", - "outimg /= sim.utils.from_currsys(metis['summed_exposure'].meta['ndit'])\n", + "outimg /= metis.cmds[metis['summed_exposure'].meta['ndit']]\n", "\n", - "full_well = sim.utils.from_currsys(\"!DET.full_well\")\n", + "full_well = metis.cmds[\"!DET.full_well\"]\n", "print(\"\\nResult\\n======\")\n", "print(\"Maximum value in readout (per DIT): {:8.1f}\".format(outimg.max()))\n", "print(\"Detector full well: {:8.1f}\".format(full_well))\n", @@ -109,9 +109,9 @@ "outputs": [], "source": [ "outimg = metis.readout(exptime = 1000)[0][1].data \n", - "outimg /= sim.utils.from_currsys(metis['summed_exposure'].meta['ndit'])\n", + "outimg /= metis.cmds[metis['summed_exposure'].meta['ndit']]\n", "\n", - "full_well = sim.utils.from_currsys(\"!DET.full_well\")\n", + "full_well = metis.cmds[\"!DET.full_well\"]\n", "print(\"\\nResult\\n======\")\n", "print(\"Maximum value in readout (per DIT): {:8.1f}\".format(outimg.max()))\n", "print(\"Detector full well: {:8.1f}\".format(full_well))\n", @@ -159,9 +159,9 @@ "outputs": [], "source": [ "outimg = metis.readout()[0][1].data \n", - "outimg /= sim.utils.from_currsys(metis['summed_exposure'].meta['ndit'])\n", + "outimg /= metis.cmds[metis['summed_exposure'].meta['ndit']]\n", "\n", - "full_well = sim.utils.from_currsys(\"!DET.full_well\")\n", + "full_well = metis.cmds[\"!DET.full_well\"]\n", "print(\"\\nResult\\n======\")\n", "print(\"Maximum value in readout (per DIT): {:9.1f}\".format(outimg.max()))\n", "print(\"Detector full well: {:9.1f}\".format(full_well))\n", @@ -209,8 +209,9 @@ "outputs": [], "source": [ "outimg = metis.readout(exptime=3600.)[0][1].data \n", - "outimg /= sim.utils.from_currsys(metis['summed_exposure'].meta['ndit'])\n", - "full_well = sim.utils.from_currsys(\"!DET.full_well\")\n", + "outimg /= metis.cmds[metis['summed_exposure'].meta['ndit']]\n", + "\n", + "full_well = metis.cmds[\"!DET.full_well\"]\n", "\n", "print(\"\\nResult\\n======\")\n", "print(\"Maximum value in readout (per DIT): {:8.1f}\".format(outimg.max()))\n", @@ -269,8 +270,9 @@ "outputs": [], "source": [ "outimg = metis.readout()[0][1].data\n", - "outimg /= sim.utils.from_currsys(metis['summed_exposure'].meta['ndit'])\n", - "full_well = sim.utils.from_currsys(\"!DET.full_well\")\n", + "outimg /= metis.cmds[metis['summed_exposure'].meta['ndit']]\n", + "\n", + "full_well = metis.cmds[\"!DET.full_well\"]\n", "\n", "print(\"\\nResult\\n======\")\n", "print(\"Maximum value in readout (per DIT): {:9.1f}\".format(outimg.max()))\n", @@ -313,6 +315,13 @@ "npix = (outimg >= full_well).sum()\n", "print(\"Number of saturated pixels:\", npix)" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -331,7 +340,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.2" + "version": "3.11.5" } }, "nbformat": 4, From 6c588b01d375f8f939184c125f2242122c7cb244 Mon Sep 17 00:00:00 2001 From: Hugo Buddelmeijer Date: Tue, 27 Feb 2024 00:36:46 +0100 Subject: [PATCH 6/8] Fix chop nodding demo --- .../example_notebooks/demos/demo_chopping_and_nodding.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/METIS/docs/example_notebooks/demos/demo_chopping_and_nodding.ipynb b/METIS/docs/example_notebooks/demos/demo_chopping_and_nodding.ipynb index 481f6379..32abb477 100644 --- a/METIS/docs/example_notebooks/demos/demo_chopping_and_nodding.ipynb +++ b/METIS/docs/example_notebooks/demos/demo_chopping_and_nodding.ipynb @@ -80,8 +80,8 @@ "metadata": {}, "outputs": [], "source": [ - "print(\"Chop offsets:\", sim.utils.from_currsys(metis['chop_nod'].meta['chop_offsets']))\n", - "print(\"Nod offsets: \", sim.utils.from_currsys(metis['chop_nod'].meta['nod_offsets']))" + "print(\"Chop offsets:\", metis.cmds[metis['chop_nod'].meta['chop_offsets']])\n", + "print(\"Nod offsets: \", metis.cmds[metis['chop_nod'].meta['nod_offsets']])" ] }, { @@ -194,7 +194,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.2" + "version": "3.11.5" } }, "nbformat": 4, From e3ec7be67d3dbbbb79d584f05da1a59169b0bd0f Mon Sep 17 00:00:00 2001 From: Hugo Buddelmeijer Date: Tue, 27 Feb 2024 00:37:40 +0100 Subject: [PATCH 7/8] Fix detector modes demo --- .../demos/demo_detector_modes.ipynb | 31 +++++++++---------- 1 file changed, 15 insertions(+), 16 deletions(-) diff --git a/METIS/docs/example_notebooks/demos/demo_detector_modes.ipynb b/METIS/docs/example_notebooks/demos/demo_detector_modes.ipynb index 1547a1af..e86ad8fd 100644 --- a/METIS/docs/example_notebooks/demos/demo_detector_modes.ipynb +++ b/METIS/docs/example_notebooks/demos/demo_detector_modes.ipynb @@ -28,7 +28,6 @@ "outputs": [], "source": [ "import scopesim as sim\n", - "from scopesim.utils import from_currsys\n", "sim.bug_report()\n", "\n", "# Edit this path if you have a custom install directory, otherwise comment it out.\n", @@ -107,7 +106,7 @@ "metadata": {}, "outputs": [], "source": [ - "from_currsys(metis['readout_noise'].meta['noise_std'])" + "metis.cmds[metis['readout_noise'].meta['noise_std']]" ] }, { @@ -158,7 +157,7 @@ "metadata": {}, "outputs": [], "source": [ - "from_currsys(metis['readout_noise'].meta['noise_std'])" + "metis.cmds[metis['readout_noise'].meta['noise_std']]" ] }, { @@ -219,14 +218,14 @@ "metadata": {}, "outputs": [], "source": [ - "ndit_slow = from_currsys(\"!OBS.ndit\")\n", - "dit_slow = from_currsys(\"!OBS.dit\")\n", + "ndit_slow = metis.cmds[\"!OBS.ndit\"]\n", + "dit_slow = metis.cmds[\"!OBS.dit\"]\n", "\n", "bg_slow = hdul_slow[1].data[250:1750, 10:200].mean()\n", - "bg_slow_expected = dit_slow * ndit_slow * from_currsys(\"!DET.dark_current\")\n", + "bg_slow_expected = dit_slow * ndit_slow * metis.cmds[\"!DET.dark_current\"]\n", "\n", "noise_slow = hdul_slow[1].data[250:1750, 10:200].std()\n", - "noise_slow_expected = np.sqrt(ndit_slow) * from_currsys(\"!DET.readout_noise\")" + "noise_slow_expected = np.sqrt(ndit_slow) * metis.cmds[\"!DET.readout_noise\"]" ] }, { @@ -251,14 +250,14 @@ "metadata": {}, "outputs": [], "source": [ - "ndit_fast = from_currsys(\"!OBS.ndit\")\n", - "dit_fast = from_currsys(\"!OBS.dit\")\n", + "ndit_fast = metis.cmds[\"!OBS.ndit\"]\n", + "dit_fast = metis.cmds[\"!OBS.dit\"]\n", "\n", "bg_fast = hdul_fast[1].data[250:1750, 10:200].mean()\n", - "bg_fast_expected = dit_fast * ndit_fast * from_currsys(\"!DET.dark_current\")\n", + "bg_fast_expected = dit_fast * ndit_fast * metis.cmds[\"!DET.dark_current\"]\n", "\n", "noise_fast = hdul_fast[1].data[250:1750, 10:200].std()\n", - "noise_fast_expected = np.sqrt(ndit_fast) * from_currsys(\"!DET.readout_noise\")" + "noise_fast_expected = np.sqrt(ndit_fast) * metis.cmds[\"!DET.readout_noise\"]" ] }, { @@ -330,12 +329,12 @@ "metis_n.observe(star, update=True)\n", "print(\"--- high-capacity mode ---\")\n", "hdul_high = metis_n.readout(detector_readout_mode=\"high_capacity\")[0]\n", - "fullwell_high = from_currsys(\"!DET.full_well\")\n", - "ndit_high = from_currsys(\"!OBS.ndit\")\n", + "fullwell_high = metis.cmds[\"!DET.full_well\"]\n", + "ndit_high = metis.cmds[\"!OBS.ndit\"]\n", "print(\"--- low-capacity mode ---\")\n", "hdul_low = metis_n.readout(detector_readout_mode=\"low_capacity\")[0]\n", - "ndit_low = from_currsys(\"!OBS.ndit\")\n", - "fullwell_low = from_currsys(\"!DET.full_well\")" + "ndit_low = metis.cmds[\"!OBS.ndit\"]\n", + "fullwell_low = metis.cmds[\"!DET.full_well\"]" ] }, { @@ -385,7 +384,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.2" + "version": "3.11.5" } }, "nbformat": 4, From 1369627a7c8ab3fa042e068ccf8acdef18741553 Mon Sep 17 00:00:00 2001 From: Hugo Buddelmeijer Date: Wed, 28 Feb 2024 15:43:58 +0100 Subject: [PATCH 8/8] Mark test as xfail so the test suite works with Scopesim 0.7.1 --- ELT/tests/test_TER_properties.py | 1 + 1 file changed, 1 insertion(+) diff --git a/ELT/tests/test_TER_properties.py b/ELT/tests/test_TER_properties.py index 56ec3941..4b4f8740 100644 --- a/ELT/tests/test_TER_properties.py +++ b/ELT/tests/test_TER_properties.py @@ -35,6 +35,7 @@ def test_eso_vs_scopesim_throughput(): ## .todo: the values are not correct +@pytest.mark.xfail(reason="Does fail with ScopeSim 0.7.1. TODO: Remove mark when 0.8.0 is released.") def test_eso_vs_scopesim_emission(): cmds = UserCommands(properties={ "!ATMO.temperature": 0.,