rail.projects.path_funcs module

A set of utility functions to extract data for plotting from rail files

rail.projects.path_funcs.get_ceci_nz_output_paths(project, selection, flavor, algo, classifier, summarizer)[source]

Get the paths to the file with n(z) estimates for a particualar analysis selection and flavor

Return type:

list[str]

Parameters:

  • project (RailProject) – Object with information about the structure of the current project

  • selection (str) – Data selection in question, e.g., ‘gold’, or ‘blended’

  • flavor (str) – Analysis flavor in question, e.g., ‘baseline’ or ‘zCosmos’

  • algo (str) – Algorithm we want the estimates for, e.g., ‘knn’, ‘bpz’], etc…

  • classifier (str) – Algorithm we use to make tomograpic bin

  • summarizer (str) – Algorithm we use to go from p(z) to n(z)

Returns:

paths – Paths to data

Return type:

list[str]

rail.projects.path_funcs.get_ceci_pz_model_paths(project, selection, flavor, algo=None)[source]

Get the paths to the file with pz model for a particualar analysis selection and flavor

Return type:

list[str]

Parameters:

  • project (RailProject) – Object with information about the structure of the current project

  • selection (str) – Data selection in question, e.g., ‘gold’, or ‘blended’

  • flavor (str) – Analysis flavor in question, e.g., ‘baseline’ or ‘zCosmos’

  • algo (str | None) – Algorithm we want the estimates for, e.g., ‘knn’, ‘bpz’, etc.. None will find all the existing model files.

Returns:

path – Path to the file in question, if it exists, otherwise None

Return type:

str | None

rail.projects.path_funcs.get_ceci_pz_output_path(project, selection, flavor, algo)[source]

Get the paths to the file with redshfit estimates for a particualar analysis selection and flavor

Return type:

str | None

Parameters:

  • project (RailProject) – Object with information about the structure of the current project

  • selection (str) – Data selection in question, e.g., ‘gold’, or ‘blended’

  • flavor (str) – Analysis flavor in question, e.g., ‘baseline’ or ‘zCosmos’

  • algo (str) – Algorithm we want the estimates for, e.g., ‘knn’, ‘bpz’, etc..

Returns:

path – Path to the file in question, if it exists, otherwise None

Return type:

str | None

rail.projects.path_funcs.get_ceci_true_nz_output_paths(project, selection, flavor, algo, classifier)[source]

Get the paths to the file with n(z) estimates for a particualar analysis selection and flavor

Return type:

list[str]

Parameters:

  • project (RailProject) – Object with information about the structure of the current project

  • selection (str) – Data selection in question, e.g., ‘gold’, or ‘blended’

  • flavor (str) – Analysis flavor in question, e.g., ‘baseline’ or ‘zCosmos’

  • algo (str) – Algorithm we want the estimates for, e.g., ‘knn’, ‘bpz’], etc…

  • classifier (str) – Algorithm we use to make tomograpic bin

Returns:

paths – Paths to data

Return type:

list[str]

rail.projects.path_funcs.get_z_true_path(project, selection, flavor, tag)[source]

Get the path to the the file with true redshfits for a particualar analysis selection and flavor

Return type:

str

Parameters:

  • project (RailProject) – Object with information about the structure of the current project

  • selection (str) – Data selection in question, e.g., ‘gold’, or ‘blended’

  • flavor (str) – Analysis flavor in question, e.g., ‘baseline’ or ‘zCosmos’

  • tag (str) – File tag, e.g., ‘test’ or ‘train’, or ‘train_zCosmos’

Returns:

path – Path to the file in question

Return type:

str