In particular, thanks are due to those who provided experimental data, results, and interpretations which form the bulk of the examples here. No part of this publication may be copied, reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photo reproduction, recording or otherwise without the prior written consent of Casa Software Ltd.ĬasaXPS wishes to thank all those connected with the production of this manual and the software system it describes. The software described in this document is furnished under a license agreement. Information in this document is subject to change without notice and does not represent a commitment on the part of the copyright holder. However, probably the best is the one that is provided with your instrument.CasaXPS User’s Manual for Version 2.0, October 2001ĬasaXPS and the User’s Manual are copyright © 2001 Casa Software Ltd. This is not a free program but it is powerful and can be used for other spectrocopic methods.Īnother program used is Unifit and this one is free.
Different shapes means more parameters to fit… With too many parameters, the result can be biased by the user.Īmong the softwares used (besides classical peakfit programs like PeakFit, Igor, Origin…) for XPS the most common software used is CasaXPS. In the old days we used Gaussian but nowadays pseudo-Voigt shapes are commonly used. Of the two, peak shape is tough to solve. There are two problems in spectroscopy data fitting procedures : baseline and peak shape.
Now, after this warning – and remember the Poisson distribution means that if you want data with a signal/noise ratios 10 times better … you need to acquire 100 times longer- the fitting software of the instruments is in general good. Contrary to what have you seen in recent Hollywood movies – where from a poor low resolution video, a smart tech person after 400 % zoom, does some fancy data enhancement procedure in order to see the face of the criminal- zooming and data treatement of poor data does nothing more than add to the noise. There is no way you can get good fit with bad data (data is bad either because the acquisition conditions were not adequate or, worse, because the sample was bad). Before going into detail about fitting softwares, let me remind you a sound principle : the fitting results can be as good as the data is. There are several good software for fitting XPS data.