qsospec.FitResult

class qsospec.FitResult(success, status, message, theta, param_names, param_values, chi2, dof, reduced_chi2, model, residual, wave_rest_fit, flux_fit, err_fit, wave_rest_window=<factory>, flux_window=<factory>, err_window=<factory>, model_window=<factory>, residual_window=<factory>, fit_used_window=<factory>, component_models=<factory>, component_models_window=<factory>, warnings=<factory>, metadata=<factory>, optimizer_result=None)

Bases: object

Result of a qsospec optimization.

Parameters:

• success (bool)

• status (int)

• message (str)

• theta (ndarray)

• param_names (List[str])

• param_values (Dict[str, float])

• chi2 (float)

• dof (int)

• reduced_chi2 (float)

• model (ndarray)

• residual (ndarray)

• wave_rest_fit (ndarray)

• flux_fit (ndarray)

• err_fit (ndarray)

• wave_rest_window (ndarray)

• flux_window (ndarray)

• err_window (ndarray)

• model_window (ndarray)

• residual_window (ndarray)

• fit_used_window (ndarray)

• component_models (Dict[str, ndarray])

• component_models_window (Dict[str, ndarray])

• warnings (List[FitWarning])

• metadata (Dict[str, Any])

• optimizer_result (Any | None)

__init__(success, status, message, theta, param_names, param_values, chi2, dof, reduced_chi2, model, residual, wave_rest_fit, flux_fit, err_fit, wave_rest_window=<factory>, flux_window=<factory>, err_window=<factory>, model_window=<factory>, residual_window=<factory>, fit_used_window=<factory>, component_models=<factory>, component_models_window=<factory>, warnings=<factory>, metadata=<factory>, optimizer_result=None)

Parameters:

• success (bool)

• status (int)

• message (str)

• theta (ndarray)

• param_names (List[str])

• param_values (Dict[str, float])

• chi2 (float)

• dof (int)

• reduced_chi2 (float)

• model (ndarray)

• residual (ndarray)

• wave_rest_fit (ndarray)

• flux_fit (ndarray)

• err_fit (ndarray)

• wave_rest_window (ndarray)

• flux_window (ndarray)

• err_window (ndarray)

• model_window (ndarray)

• residual_window (ndarray)

• fit_used_window (ndarray)

• component_models (Dict[str, ndarray])

• component_models_window (Dict[str, ndarray])

• warnings (List[FitWarning])

• metadata (Dict[str, Any])

• optimizer_result (Any | None)

Return type:

None

Methods

__init__(success, status, message, theta, ...)
failed(message[, warnings, metadata])	Create a failed result for validation-level failures.
summary()	Return a compact result summary.
to_dict()	Return a JSON-friendly summary dictionary.
to_table()	Return Gaussian line measurements as a pandas DataFrame when available.
warning_codes()	Return warning codes attached to this result.

Attributes

optimizer_result
success
status
message
theta
param_names
param_values
chi2
dof
reduced_chi2
model
residual
wave_rest_fit
flux_fit
err_fit
wave_rest_window
flux_window
err_window
model_window
residual_window
fit_used_window
component_models
component_models_window
warnings
metadata

chi2: float

component_models: Dict[str, ndarray]

component_models_window: Dict[str, ndarray]

dof: int

err_fit: ndarray

err_window: ndarray

classmethod failed(message, warnings=None, metadata=None)

Create a failed result for validation-level failures.

Parameters:

• message (str)

• warnings (List[FitWarning] | None)

• metadata (Dict[str, Any] | None)

Return type:

FitResult

fit_used_window: ndarray

flux_fit: ndarray

flux_window: ndarray

message: str

metadata: Dict[str, Any]

model: ndarray

model_window: ndarray

optimizer_result: Any | None = None

param_names: List[str]

param_values: Dict[str, float]

reduced_chi2: float

residual: ndarray

residual_window: ndarray

status: int

success: bool

summary()

Return a compact result summary.

Return type:

Dict[str, Any]

theta: ndarray

to_dict()

Return a JSON-friendly summary dictionary.

Return type:

Dict[str, Any]

to_table()

Return Gaussian line measurements as a pandas DataFrame when available.

warning_codes()

Return warning codes attached to this result.

Return type:

List[str]

warnings: List[FitWarning]

wave_rest_fit: ndarray

wave_rest_window: ndarray