diff --git a/docs/tutorials/SKA_forecast.ipynb b/docs/tutorials/SKA_forecast.ipynb index 5143fe1..95d5cf7 100644 --- a/docs/tutorials/SKA_forecast.ipynb +++ b/docs/tutorials/SKA_forecast.ipynb @@ -721,46 +721,9 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "finding redundancies: 100%|██████████| 306/306 [00:03<00:00, 85.62ants/s] \n", - "gridding baselines: 100%|██████████| 44236/44236 [00:04<00:00, 9378.65baselines/s]\n", - "calculating 2D sensitivity: 100%|██████████| 1124/1124 [00:02<00:00, 452.25uv-bins/s]\n", - "averaging to 2D grid: 100%|██████████| 265/265 [00:00<00:00, 6820.59kperp-bins/s]\n", - "averaging to 2D grid: 100%|██████████| 265/265 [00:00<00:00, 7630.72kperp-bins/s]\n", - "averaging to 1D: 100%|██████████| 265/265 [00:01<00:00, 180.28kperp-bins/s]\n", - "C:\\Users\\breit\\AppData\\Local\\Temp\\ipykernel_15544\\41433408.py:51: UserWarning: Extrapolating above the simulated theoretical k: 4.103102184927552 > 3.3903453170721027\n", - " this_z[\"theory_1D_mK2\"] = sense.theory_model.delta_squared(\n", - "averaging to 1D: 100%|██████████| 265/265 [00:01<00:00, 183.57kperp-bins/s]\n", - "averaging to 1D: 100%|██████████| 265/265 [00:01<00:00, 182.88kperp-bins/s]\n", - "finding redundancies: 100%|██████████| 306/306 [00:03<00:00, 95.79ants/s] \n", - "gridding baselines: 100%|██████████| 44230/44230 [00:04<00:00, 10680.44baselines/s]\n", - "calculating 2D sensitivity: 100%|██████████| 1124/1124 [00:02<00:00, 475.84uv-bins/s]\n", - "averaging to 2D grid: 100%|██████████| 267/267 [00:00<00:00, 6414.63kperp-bins/s]\n", - "averaging to 2D grid: 100%|██████████| 267/267 [00:00<00:00, 6759.00kperp-bins/s]\n", - "averaging to 1D: 100%|██████████| 267/267 [00:01<00:00, 171.18kperp-bins/s]\n", - "C:\\Users\\breit\\AppData\\Local\\Temp\\ipykernel_15544\\41433408.py:51: UserWarning: Extrapolating above the simulated theoretical k: 4.27546118438488 > 3.3903453170721027\n", - " this_z[\"theory_1D_mK2\"] = sense.theory_model.delta_squared(\n", - "averaging to 1D: 100%|██████████| 267/267 [00:01<00:00, 169.31kperp-bins/s]\n", - "averaging to 1D: 100%|██████████| 267/267 [00:01<00:00, 174.86kperp-bins/s]\n", - "finding redundancies: 100%|██████████| 306/306 [00:03<00:00, 92.10ants/s] \n", - "gridding baselines: 100%|██████████| 44242/44242 [00:04<00:00, 9812.44baselines/s] \n", - "calculating 2D sensitivity: 100%|██████████| 1124/1124 [00:02<00:00, 438.94uv-bins/s]\n", - "averaging to 2D grid: 100%|██████████| 267/267 [00:00<00:00, 7233.89kperp-bins/s]\n", - "averaging to 2D grid: 100%|██████████| 267/267 [00:00<00:00, 7714.95kperp-bins/s]\n", - "averaging to 1D: 100%|██████████| 267/267 [00:01<00:00, 168.86kperp-bins/s]\n", - "C:\\Users\\breit\\AppData\\Local\\Temp\\ipykernel_15544\\41433408.py:51: UserWarning: Extrapolating above the simulated theoretical k: 4.435936220452634 > 3.3903453170721027\n", - " this_z[\"theory_1D_mK2\"] = sense.theory_model.delta_squared(\n", - "averaging to 1D: 100%|██████████| 267/267 [00:01<00:00, 170.91kperp-bins/s]\n", - "averaging to 1D: 100%|██████████| 267/267 [00:01<00:00, 166.77kperp-bins/s]\n" - ] - } - ], + "outputs": [], "source": [ "ska_aaast_senses4 = get_senses(\n", " obs,\n",