COMPARISON OF VARIOUS NUMERICAL PROCEDURES FOR ANALYSIS OF STRUCTURALHETEROGENEITY

Several methods (condensation approximation, regularization, and non-n egative least-squares (NNLS)) have been applied for calculating the po re size distribution (PSD) function from simulated isotherms. It has b een shown that two near by peaks in the low size region may be recover ed well by both regularization and NNLS method only for isotherms with out experimental error. Wide peaks may be recovered by numerical metho ds almost independently on a number of experimental points and error i nherent in input data. Condensation approximation is the most insensit ive to the experimental errors. However it gives a distorted one peak distribution shifted to low values of micropore size and having a long tail at large values. In the case of isotherms with large errors (10% for regularization and 5% for NNLS), both numerical methods give PSD functions close to that obtained by the CB method.