The purpose of this Guide is to provide a simple walk-through of basic data extraction and analysis tasks for XMM-Newton data using SAS as available through the Hera facility at HEASARC. As with the original XMM-Newton ABC Guide, we have tried to balance providing enough information to give the user a useful introduction to a variety of analysis tasks with not providing too much information and thus overwhelming the user. This document is not intended to supercede the SAS Handbook, which is the highest authority for the use of SAS. Rather, this is meant as a general guide and introduction.
Chapters 7, 8, and 9 discuss the analysis of EPIC, RGS, and OM data respectively.
This guide would not have been possible without the help and comments from all people involved in the XMM-Newton project. In particular, we would like to thank Giuseppe Vacanti and Julian Osborne whose comments made this a more complete and accurate document.
IMH wishes to thank all the OM calibration team and in particular Antonio Talavera, Matteo Guainazzi and Bing Chen for their help in the preparation of this and other documents related to the OM.
SLS wishes to thank Dave Lumb, Richard Saxton, and Steve Sembay for their helpful insights into EPIC data analysis.