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remove notebook 5
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hkwang authored Jul 22, 2024
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Expand Up @@ -21,12 +21,11 @@ This repository contains a set of IPython notebooks, each standalone and explori
- [Notebook 2b: The double-Wilson model with measurement error and resolution-dependence](2b_Measurement_error_res_dependence.ipynb): A notebook exploring ways to incorporate measurement error and resolution dependence into the double-Wilson model.
- [Notebook 3: Fitting a double-Wilson model to a pair of datasets](3_Fitting_DW_to_paired_data.ipynb): A notebook that fits paired data scaled in [Notebook 1: Dataset preparation and local scaling](1_Dataset_prep_and_local_scaling.ipynb). This is accompanied by [Notebook 3A: Fitting a Double-Wilson model to an anomalous dataset](3A_Fitting_the_DW_model_to_anomalous_data.ipynb).
- [Notebook 4: Conventions for parametrizing the Double-Wilson distribution](4_Parsing_DW_parameters.ipynb): A small notebook for converting between notational conventions for the Rice and folded Normal probability distributions.
- [Notebook 5: A model for bivariate priors](5_Bivariate_priors.ipynb): A notebook containing derivations of important probability distributions in the double-Wilson model.
- [Notebook 6: Global Scaling for Difference Maps](6_Revisiting_difference_maps.ipynb): A notebook exploring a formalism for difference maps under the double-Wilson model.
- [Notebook 7: The general case: any number of sets of related structure factors](7_DAG_PGM_structure_factor_distributions.ipynb): A notebook constructing a formalism that relates more than three sets of structure factor amplitudes in the multivariate Wilson model.

These notebooks rely on files in the following folders:
- `dag_img`: a folder containing images of directed acyclic graphs, introduced in [Notebook 7]((7_DAG_PGM_structure_factor_distributions.ipynb).
- `double_wilson_data`: a folder containing MTZ files containing paired datasets for use in [Notebook 1](1_Dataset_prep_and_local_scaling.ipynb), [Notebook 1A](1A_Anom_dataset_prep_and_scaling.ipynb), [Notebook 2b](2b_Measurement_error_res_dependence.ipynb), [Notebook 3](3_Fitting_DW_to_paired_data.ipynb), and [Notebook 3A](3A_Fitting_the_DW_model_to_anomalous_data.ipynb).
- `dw_tools`: a python package containing tools used in all notebooks.
- `results_figs`: a folder containing figure outputs from most notebooks.
- `results_figs`: a folder containing figure outputs from most notebooks.

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