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Merge pull request #46 from PyAutoLabs/claude/g-heart-green-fable-opus-uuiaqf
docs: fix dead internal references (hygiene refs tier)
2 parents 1b280c8 + a9035b1 commit 7c88534

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notebooks/chapter_1_introduction/tutorial_1_grids_and_galaxies.ipynb

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"adaptive over sampling scheme which high accuracy across all use cases.\n",
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"\n",
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"Once you are more experienced, you should read up on over-sampling in more detail via \n",
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"the `autogalaxy_workspace/*/guides/over_sampling.ipynb` notebook."
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"the `autogalaxy_workspace/*/guides/advanced/over_sampling.ipynb` notebook."
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notebooks/chapter_2_modeling/tutorial_1_non_linear_search.ipynb

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"fitted the data.\n",
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"\n",
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"A detailed step-by-step visual guide of the likelihood function is provided \n",
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"at `autogalaxy_workspace/*/imaging/log_likelihood_function/parametric.ipynb`."
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"at `autogalaxy_workspace/*/imaging/likelihood_function.ipynb`."
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notebooks/chapter_2_modeling/tutorial_2_practicalities.ipynb

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"all calculations use an adaptive over sampling scheme which ensures high accuracy and precision.\n",
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"\n",
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"Once you are more experienced, you should read up on over-sampling in more detail via \n",
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"the `autogalaxy_workspace/*/guides/over_sampling.ipynb` notebook."
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"the `autogalaxy_workspace/*/guides/advanced/over_sampling.ipynb` notebook."
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notebooks/chapter_2_modeling/tutorial_3_realism_and_complexity.ipynb

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"__Over Sampling__\n",
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"\n",
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"Apply adaptive over sampling to ensure the calculation is accurate, you can read up on over-sampling in more detail via \n",
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"the `autogalaxy_workspace/*/guides/over_sampling.ipynb` notebook."
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"the `autogalaxy_workspace/*/guides/advanced/over_sampling.ipynb` notebook."
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notebooks/chapter_2_modeling/tutorial_4_dealing_with_failure.ipynb

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"__Over Sampling__\n",
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"\n",
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"Apply adaptive over sampling to ensure the calculation is accurate, you can read up on over-sampling in more detail via \n",
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"the `autogalaxy_workspace/*/guides/over_sampling.ipynb` notebook."
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"the `autogalaxy_workspace/*/guides/advanced/over_sampling.ipynb` notebook."
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notebooks/chapter_2_modeling/tutorial_5_linear_profiles.ipynb

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"__Over Sampling__\n",
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"\n",
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"Apply adaptive over sampling to ensure the calculation is accurate, you can read up on over-sampling in more detail via \n",
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"the `autogalaxy_workspace/*/guides/over_sampling.ipynb` notebook."
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"the `autogalaxy_workspace/*/guides/advanced/over_sampling.ipynb` notebook."
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"features of a galaxy. They do so over a wide range of scales, and can often represent features in source galaxies \n",
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"that a single Sersic function or MGE cannot.\n",
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"\n",
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"An example using shapelets is given at `autogalaxy_workspace/scripts/modeling/imaging/features/shapelets.py`.\n",
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"An example using shapelets is given at `autogalaxy_workspace/scripts/imaging/features/shapelets/modeling.py`.\n",
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" \n",
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"Feel free to experiment with using shapelets as the galaxy by yourself. However they incur higher computational \n",
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"overheads than the MGE and include a free parameter which governs the size of the basis functions and therefore source,\n",

notebooks/chapter_2_modeling/tutorial_6_masking.ipynb

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"__Over Sampling__\n",
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"\n",
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"Apply adaptive over sampling to ensure the calculation is accurate, you can read up on over-sampling in more detail via \n",
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"the `autogalaxy_workspace/*/guides/over_sampling.ipynb` notebook."
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"the `autogalaxy_workspace/*/guides/advanced/over_sampling.ipynb` notebook."
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notebooks/chapter_4_pixelizations/tutorial_3_inversions.ipynb

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"__Detailed Explanation__\n",
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"\n",
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"If you are interested in a more detailed description of how inversions work, then checkout the file\n",
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"`autogalaxy_workspace/*/imaging/log_likelihood_function/inversion.ipynb` which gives a visual step-by-step\n",
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"`autogalaxy_workspace/*/imaging/features/pixelization/likelihood_function.ipynb` which gives a visual step-by-step\n",
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"guide of the process alongside equations and references to literature on the subject."
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notebooks/simulators/sersic.ipynb

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"\n",
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"__Start Here Notebook__\n",
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"\n",
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"If any code in this script is unclear, refer to the `simulators/start_here.ipynb` notebook."
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"If any code in this script is unclear, refer to the `simulators/simple.ipynb` notebook."
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notebooks/simulators/sersic_x2.ipynb

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"\n",
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"__Start Here Notebook__\n",
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"\n",
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"If any code in this script is unclear, refer to the `simulators/start_here.ipynb` notebook."
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"If any code in this script is unclear, refer to the `simulators/simple.ipynb` notebook."
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