Extending MagmaPandas

Fe³⁺/Fe²⁺ models

class MagmaPandas.Fe_redox.Fe3Fe2_baseclass.Fe3Fe2_model

abstract calculate_Fe3Fe2(melt_mol_fractions, T_K, fO2, *args, **kwargs) → float | ndarray

Calculate melt Fe³⁺/Fe²⁺ ratios

Parameters:

• melt_mol_fractions (Pandas DataFrame) – Melt composition in oxide mol fractions

• T_K (float, array-like) – temperature in Kelvin

• fO2 (float, array-like) – Oxygen fugacity

Returns:

melt Fe³⁺/Fe²⁺ ratio

Return type:

float, array-like

classmethod get_error(Fe3Fe2, error_params_1bar: Dict, error_params_high_pressure: Dict, pressure: Series | None = None, *args, **kwargs) → float | ndarray

Returns one standard deviation error on Fe³⁺/Fe²⁺ ratios, calculated from a compiled validation dataset.

Parameters:

• Fe3Fe2 (array-like) – melt Fe³⁺/Fe²⁺ ratios

• pressure (array-like, optional) – pressures of each element in Fe3Fe2. If this term is not included, errors will be calculated strictly at 1 bar.

Returns:

Fe³⁺/Fe²⁺ error

Return type:

float, array-like

Kd models

class MagmaPandas.Kd.Kd_baseclass.Kd_model

abstract calculate_Kd(melt_mol_fractions, T_K, P_bar, *args, **kwargs) → float | ndarray

Calculate mineral-melt partition coefficients

Parameters:

• melt_mol_fractions (Pandas DataFrame) – Melt composition in oxide mol fractions

• T_K (float, array-like) – temperature in Kelvin

• P_bar (float, array-like) – pressure in bar

Returns:

mineral-melt partition coefficients

Return type:

float, array-like

classmethod get_error(*args, **kwargs)

Return one standard deviation errors on partition coefficients.

Returns:

partition coefficient errors

Return type:

float, array-like

classmethod get_offset(offset_parameters, *args, **kwargs)

Calculate random samples of partition coefficient errors

Parameters:

offset_parameters (float, array-like) – random samples of a standard normal distribution.

static get_offset_parameters(n: int, *args, **kwargs)

Randomly sample a standard normal distribution n times.

nint

sample amount.

Thermometers

CO₂-H₂O solubility models