XMM data reduction: part II SAS command-line analysis and scripting Andy Read

XMM data reduction: part IISAS command-line analysis and scripting

Andy Read

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Overview Command-line examples/help Why use command-line and scripts? Example scripts : SASmakecalev & SASprepareXMM Imaging scripts & spectral scripts Scripts within scripts Final remarks

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Setting up the user environment To run on XROA system:> sas-setup-6.5.0 initialises software

> setenv SAS_ODF (path_to_ODF_directory)

e.g. /data/71/tro/xmm_data/0106860101/odf/

> setenv SAS_CCFPATH /data/rb2/sas_ccf

> cifbuild fullpath=yes >& cifbuild.log

builds ccf.cif – calibration index file

> setenv SAS_CCF (path_to_ccf.cif_file)

> odfingest odfdir=$SAS_ODF outdir=$SAS_ODF >& odfingest.log

builds ***SUM.SAS file in ODF directory – ODF summary file necessary for reprocessing

(from Tim’s talk)Command line examples

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Command line help

- Simple help – parameters and default values

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- More - Parameters, parameter types, default values and ‘one-line’ help

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- Full help – Links to SAS web pages

- Cut and paste link into browser

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Why use scripts?

Useful scripting cookbook at http://starlink.rl.ac.uk/star/docs/sc4.htx/sc4.html

- Scripts are just a list of command-line calls/commands run sequentially- There are many powerful command line calls

- Can run intensive analysis on many datasets, sources etc.- Can be sure of doing exactly the same thing every time, e.g. running

exactly the same procedures on many sources/datasets- No need for interactive use

- can run overnight (no need to be there)- can run as cron jobs (no need to be even logged in)

- Often need to redo entire analysis, e.g.- New calibration files- New ODF files

- Mistake, change in e.g. source positions, detection threshold etc.

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Example script : SASmakecalev

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Executable t-shell scriptComment lines

Runs at low priority

On-screen help – appears whenever incorrect number of arguments is given (e.g. zero)

Number of arguments

If correct number of arguments is given (7) then input arguments (1-7) converted to parameters used in script, and we move into the main body of the script

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Check that ODF exists (otherwise exit)

Get SAS version (for directory naming)

Create (if necessary) output directory, and (if allowed) enter

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Check ODF

Set SAS_ODF environment variable

Check for ***SUM.SAS file

(Check for ***SUM.ASC file)

Create ccf.cif – calibration index file Set SAS_CCF environment variable

Create ***SUM.SAS file in ODF directory – ODF summary file necessary for reprocessing

Output all SAS environment variables to screen – useful check

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Run emproc (if required)

Run emchain (if required)

Run epproc (if required)

Run epchain (if required)

List created final calibrated event lists and exit

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Run script

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Example script : SASprepareXMM

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Soft Proton flaring in an observation of a Galaxy Group

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Executable t-shell scriptComment lines

Runs at low priority

On-screen help – appears whenever incorrect number of arguments is given (e.g. none)

Number of arguments

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If correct number of arguments is given (9) then input arguments (1-9) converted to parameters used in script

If requested :

Check ODF

Check for ***SUM.SAS file

Create ***SUM.SAS file in ODF

Set SAS_ODF environment variable

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If requested :

Create ccf.cif – calibration index file

Set SAS_CCF environment variable

Output all SAS environment variables to screen – useful check

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Convert patcode parameter into an expression for evselect

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MOS1 example (comment)

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If $m1 does not equal 0, OK – continue to next line

If $m1 equals 0, ignore this whole section

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If $m1 equals F, then we attempt to find the file

Else, the file name is given by the parameters

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Remove a temporary file if it already exists

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Long list all the MOS1 event files in the directory to temporary file

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Count the number of entries (MOS1 event files) in the temporary file

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If only one MOS1 event file, use this

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If more than one MOS1 event file, try to find the largest

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Initiate loop through ‘i’ (i=0)

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loop through ‘i’ until ‘i’ equals number of event files, then end

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Increment ‘i’ by +1 (i=1)

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Get size of ‘i’th file :

Type the file, extract the top (head) ‘i’ lines, then extract the bottom (tail) line – file size is the 5th string in long listing

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If size of ‘i’th file is larger than largest recorded, note ‘i’ (‘ibig’) and size as largest recorded

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Loop round to next ‘i’

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Get name of largest file (i.e. file corresponding to ‘ibig’) :

Type the file, extract the top (head) ‘ibig’ lines, then extract the bottom (tail) line – file name is the 9th string in long listing

Set $m1 to this filename

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Create (evselect) lightcurve :

High-energy, single events, ‘good’ flags, 100s bins

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Output help to screen: What is being done, what the user should do

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Plot (dsplot) the light curve to the screen for user to examine

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Request upper and lower threshold values from user

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Use threshold values to create (tabgtigen) good times GTI file

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Create (evselect) intermediate event file : filter on low-E threshold, pattern, flags, etc.

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Create (evselect) final event file : filter intermediate file for good times using GTI file

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Same for MOS2

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Same for pn

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Enter MOS1 thresholds

Same for MOS2

Same for pn

New filtered event files (r1***EV***)

smaller than originals

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Already seen xmmselect

GUI - clean data, and produce science products

Only handles one dataset at a time

Essentially a handy GUI ‘wrapper’ to the SAS-task ‘evselect’

evselect is the command-line workhorse of SAS analysis tasks

Many scripts are command-line ‘wrappers’ of evselect and other SAS-tasks

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Script to create images

- Essentially an evselect wrapper, plus other tasks (e.g. asmooth)

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MOS1

MOS1 smoothed

MOS2

MOS2 smoothed

pn

pn smoothed

e.g. 300-2000eV sky (X/Y) 2′′ images (raw and smoothed) [MOS-sdtq, pn-sd]

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Script to create spectra + ARF, RMF and do grouping etc.

Again, evselect wrapper, plus arfgen, rmfgen, grppha etc…

SAS-task equivalent especget now much improved

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createspectrum to create BG spectrum

Note: can set parameters (here, co-ordinates from Tim’s region files) on the command lineRun script (using parameters)

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createspectrum to create source spectrum, ARF, RMF and group final spectrum

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Can put each step/script into a file (e.g. analysis) – A script to call other scripts

Can then run whole ‘analysis’:

> source analysis

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Homework (2005) Extract NGC 1313 data (Oct 2000) from XSA Set up analysis environment Filter data for background flares Extract 0.3 – 10 keV images for all three

detectors Extract spectra of NGC 1313 X-1 Compare your results to

/data/71/tro/xmm_data/0106860101/work/

Homework (2006) – use scripts (and write a script of your scripts) to do all the analysis

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Resources This talk (and others):

http://www.star.le.ac.uk/~sav2/stats/ The scripts (and others):

http://www.star.le.ac.uk/~amr30/Scripts/ XMM-Newton SAS web pages

Via http://xmm.vilspa.esa.es Particularly useful documentation:

HEASARC ABC guide SAS user’s guide

Experienced users!