core

core

core contains the core functions for performing BET analysis.

Functions

bet(iso_df, a_o, info, *args)	Performs BET analysis on isotherm data for all relative pressure ranges.
check_absorbed_amount(df, nm)	Checks that nm, amount adsorbed in the monolayer, is in the range of data points used in BET analysis.
check_enough_datapoints(df[, points])	Checks that relative pressure ranges contain a minimum number of data points.
check_pressure_consistency(df, nm, slope, ...)	Checks that relative pressure is consistent.
check_pressure_increasing(df)	Checks that n(p-po) aka check2 is increasing.
check_y_intercept_positive(intercept)	Checks that y intercept of the BET plot's linear regression is positive.
rouq_mask(intercept, iso_df, nm, slope, *args)	Calls all check functions and combines their masks into one "rouqerol mask".
run_beatmap([file, info, a_o, ...])	A single function that executes all necessary BEaTmap algorithims.
single_point_bet(df, a_o)	Performs single point BET analysis on an isotherm data set for all relative pressure ranges.
ssa_answer(bet_results, mask_results[, ...])	Logs a single specific surface area answer from the valid relative pressure range with the lowest error, most number of points, maximum specific surface area, or minimum specific surface area.