XMM-Newton Science Analysis System: User Guide
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Users Guide to the XMM-Newton Science Analysis System
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Users Guide to the XMM-Newton Science Analysis System
Contents
List of Figures
List of Tables
1 Introduction
1.1 SAS installation
1.2 More information on the web
1.3 SAS Analysis Threads
1.4 Structure of the document
2 Analysis of XMM-Newton data: an overview
2.1 XMM-Newton data files
2.2 Steps in the analysis of XMM-Newton data. Threads and Watchout items
2.3 Starting a SAS session
2.3.1 Setting up the basic SAS environment
2.3.2 Telling SAS where to find the ODF and CCF files
2.3.3 cifbuild
2.3.4 odfingest
2.4 Running SAS
2.5 Selecting a SAS task
2.6 Running a SAS task from the command line
2.7 General settings affecting all SAS tasks
2.8 SAS input and output files
2.9 Running SAS from Python
3 SAS graphical user interface
3.1 Getting started
3.2 A quick tour
3.3 Selecting an ODF
3.4 Task browser
3.5 Parameter dialogs
3.6 Task control
3.7 Browsing a dataset
3.8 Using the log
3.9 Errors and warnings
3.10 Using on-line help
3.11 Accessing calibration data
4 Analysis of EPIC camera data
4.1 The EPIC data package
4.1.1 The EPIC Observation Data Files
4.1.2 The EPIC MOS Observation Data Files
4.1.3 The EPIC-pn Observation Data Files
4.2 The EPIC pipeline products
4.3 Running the EPIC pipeline processing
4.3.1 Running the EPIC MOS processing meta-task
4.3.2 Running the EPIC-pn processing meta-task
4.3.2.1 Improving the quality of EPIC-pn data: epreject
4.4 Filtering calibrated EPIC event lists
4.4.1 Filtering EPIC MOS concatenated event lists
4.4.2 Filtering EPIC-pn concatenated event lists
4.4.3 How to get pixels flagged "ON_BADPIX" back into the eventlist
4.4.4 Filtering high background periods
4.4.5 Correcting an EPIC-pn event file for spatially-dependent CTI effects.
4.4.6 Correcting an EPIC-pn event file for energy shifts.
4.5 Pile-up
4.5.1 How to analyse a piled-up Timing mode observation
4.5.2 Correcting for the flux loss and energy distortion caused by the pile-up.
4.6 Analysis of extended sources
4.7 Generating EPIC images
4.7.1 Image generation with evselect
4.7.2 Image generation with xmmselect
4.7.3 Image generation with etruecolor
4.7.4 Image generation with eimageget
4.7.5 Image generation with the images script
4.7.6 Analysing EPIC images
4.8 EPIC spectral analysis
4.8.1 Generating spectra
4.8.2 Creating response matrices
4.8.3 Generating source and background spectra in one go
4.8.4 Generating spectra from RGS multi-pointing mode data
4.8.5 Spectral products for overlapping EPIC data
4.8.6 Response files for extended sources
4.8.7 Use of efluxer
4.9 EPIC-pn Out-of-time events
4.9.1 Removing Out-of-Time events from pn images
4.9.2 Removing Out-of-Time events from pn spectra
4.10 Detecting EPIC X-ray sources
4.11 Processing EPIC slew data
4.11.1 The slew data
4.11.2 Processing Steps
4.11.3 Output files
4.11.4 Source Detection
4.11.5 Background
4.12 Processing examples of EPIC data
4.12.1 Example of calibrated events files creation
4.12.2 Example of EPIC product generation: images, spectra & light curves
4.12.2.1 Working from the command line
4.12.2.2 Inspection of spectra or timeseries using the command line
4.12.2.3 Generation of spectra using efluxer
4.12.2.4 Extraction of a X-ray corrected light curve for a point-like source
4.12.3 Source detection example
4.12.3.1 EPIC source detection performed via single task commands
4.12.3.2 Running the EPIC source detection chain
5 Analysis of RGS spectrometer data
5.1 Source coordinates
5.2 Source extent
5.3 Background behaviour
5.4 Calibration data
5.5 Taking delivery of RGS data
5.5.1 Raw RGS Data Files in the ODF
5.6 Running the RGS processor rgsproc
5.6.1 Events, sources and selection criteria
5.6.2 Pixel-by-pixel offset subtraction
5.6.3 The class of cool pixels
5.7 The use of xmmselect on RGS data
5.7.1 Generating RGS images
5.7.2 Generating raw RGS light curves to assess the background
5.8 Rerunning the RGS processor rgsproc
5.9 Treatment of multiple RGS sources
5.10 Treatment of extended RGS sources
5.11 Computing a model spectrum of the RGS background
5.12 Creating RGS response matrices
5.13 Heliocentric velocity correction
5.14 Sun Angle correction to the wavelength scale
5.15 Combination of RGS spectra
5.16 RGS small-window mode
5.17 Use of rgslccorr
5.18 Use of rgsfluxer
5.19 The RGS pipeline products
6 Analysis of OM optical monitor data
6.1 The OM data
6.1.1 OM observing modes and data types
6.1.2 OM: filters and grisms
6.1.3 Listing the OM Current Calibration Files
6.2 Description of the OM image data processing chain omichain
6.2.1 Data preparation
6.2.2 Handling of tracking data
6.2.3 Handling of corrections applied to image mode data
6.2.4 Source detection, astrometry and photometry
6.2.5 Final combined results
6.2.6 Source variability: omvariability
6.2.7 Deep detection on mosaiced images
6.2.8 Further notes on processing of OM image data
6.2.9 Interactive source detection and photometry
6.3 Description of the OM fast mode data processing chain omfchain
6.3.1 Data preparation: tracking correction
6.3.2 Event selection & corrections
6.3.3 Source detection & astrometry
6.3.4 Measuring the background from image data
6.4 Description of the OM grism data processing chain omgchain
6.4.1 Grism specific tasks
6.4.2 Astrometry on grism images
6.4.3 Interactive spectral extraction
6.4.4 Further notes on processing of OM grism data
6.5 OM SAS processing products
6.6 Running the OM data processing
6.6.1 Example of image data processing
6.6.2 Example of fast mode data processing
6.6.3 Example of grism data processing
6.7 Analysing OM data
6.7.1 Astrometry in OM images
6.7.2 Counts conversion to magnitudes and fluxes
6.7.3 Barycentric correction for fast mode data
6.7.4 AB magnitude system and absolute fluxes for OM
6.7.5 OM response matrices
6.7.6 Converting OM data to OGIP II format
6.7.7 The Jupiter patch
6.7.8 Concatenating fast mode timeseries
7 Analysis chain for point-like sources
7.1 xmmextractor
7.1.1 Configuration file
7.1.2 Output
Bibliography
European Space Agency - XMM-Newton Science Operations Centre
