beetroots.simulations.astro.toy_case package

Submodules

beetroots.simulations.astro.toy_case.toy_case_nn module

class beetroots.simulations.astro.toy_case.toy_case_nn.SimulationToyCaseNN(simu_name: str, cloud_name: str, max_workers: int, params_names: Dict[str, str], list_lines_fit: List[str], yaml_file: str, path_data: str, path_outputs: str, path_models: str, forward_model_fixed_params: Dict[str, float | None], pixels_of_interest: Dict[int, str] = {}, small_size: int = 16, medium_size: int = 20, bigger_size: int = 24)[source]

Bases: SimulationNN, SimulationToyCase, SimulationMySampler

Parameters:

simu_name (str) – name of the full inversion procedure, used to name the outputs folder
cloud_name (str) – name of the observed cloud
max_workers (int, optional) – maximum number of workers to run the program
params_names (Dict[str, str]) – pairs of names for each parameter, with first the standard name (to be found as title of column in DataFrames) and second a latex name (to be displayed in figures). For instance, for the thermal pressure “P”: r”$P_{th}$)”
list_lines_fit (List[str]) – names of the observables used for the inversion
max_workers – maximum number of workers that can be used for inversion or results extraction, by default 10
small_size (int, optional) – size for basic text, axes titles, xticks and yticks, by default 16
medium_size (int, optional) – size of the axis labels, by default 20
bigger_size (int, optional) – size of the figure title, by default 24
path_outputs (str) – path to the output folder to be created

D

total number of physical parameters involved in the forward map

Type:: int

D_no_kappa: number of physical parameters excluding the scaling parameter $\kappa$ (used in astrophysical applications). When “kappa” is not in list_names, then D_no_kappa = D

L

number of observables per component $n$ used for inversion, e.g., per pixel

Type:: int

N

Theta_true_scaled

cloud_name

name of the observed cloud

Type:: str

list_lines_fit

names of the observables used for inversion

Type:: List[str]

list_lines_valid

list_names

names of the physical parameters in files, e.g., as titles of a DataFrame column, e.g., P_th or P for the thermal pressure

Type:: List[str]

list_names_plot

main(params: dict, path_data_cloud: str) → None[source]

map_shaper

max_workers

maximum number of workers that can be used for inversion or results extraction

Type:: int

path_data_csv

path_data_csv_in

path_data_csv_out

path_data_csv_out_mcmc

path_data_csv_out_optim_map

path_data_csv_out_optim_mle

path_img

path_output_sim

path_raw

plots_estimator

setup(forward_model_name: str, force_use_cpu: bool, fixed_params: Dict[str, float | None], is_log_scale_params: Dict[str, bool], sigma_a_float: float, sigma_m_float: float, omega_float: float, indicator_margin_scale: float, lower_bounds_lin: ndarray, upper_bounds_lin: ndarray, with_spatial_prior: bool = True, spatial_prior_params: None | SpatialPriorParams = None, list_gaussian_approx_params: List[bool] = [], list_mixing_model_params: List[Dict[str, str]] = [])[source]

beetroots.simulations.astro.toy_case.toy_case_polyreg module

class beetroots.simulations.astro.toy_case.toy_case_polyreg.SimulationToyCasePolyReg(simu_name: str, cloud_name: str, max_workers: int, params_names: Dict[str, str], list_lines_fit: List[str], yaml_file: str, path_data: str, path_outputs: str, path_models: str, forward_model_fixed_params: Dict[str, float | None], pixels_of_interest: Dict[int, str] = {}, small_size: int = 16, medium_size: int = 20, bigger_size: int = 24)[source]

Bases: SimulationPolynomialReg, SimulationToyCase, SimulationMySampler