Not Your Advisor's CIAO... - an update on Chandra's CIAO analysis system Jonathan McDowell Doug Burke, Antonella Fruscione, Aneta Sieimiginowska and the.

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Presentation transcript:

Not Your Advisor's CIAO... - an update on Chandra's CIAO analysis system Jonathan McDowell Doug Burke, Antonella Fruscione, Aneta Sieimiginowska and the CIAO team Chandra X-Ray Center, SAO

CIAO 1 was released in 1999 as Chandra was completing orbital checkout Heritage from the IRAF-based ROSAT PROS system (Worrall et al 1992) Incorporating some ideas from the ETOOLS project (Mark Abbott et al 1995) Incorporated software developed in 1990s for Chandra ground calibration (XRCF) Compatibility with HEASARC/OGIP FITS files and header conventions Standalone Unix tool architecture – like FTOOLS developed at similar time CIAO 2 series in 2000 with improved portability CIAO 3 in 2003 with rewritten infastructure CIAO 4 in 2007 with Python support, new Sherpa/Chips fitting/plotting Now on annual release cycle with CIAO 4.5 released Dec 2012 A Short History of Chandra Analysis

MAKING X-RAY ANALYSIS EASIER ciao_install - automated installation process - tunable, also supports source builds What data is there? WebChaser is still great, but sometimes find_chandra_obsid is handy for CL use or scripting:: There's also the footprint service cxc.harvard.edu/cda/footprint find_chandra_obsid can also download the data, or you can use...

download_chandra_obsid gets the data for you This one makes subdirs 4628/ and 4629/ each with the usual primary/, secondary/ subdirs that you are used to

Next we update the archive processing with the latest calibrations using chandra_repro Now we have a new repro/ subdirectory with (hopefully) all the files you'll need for further analysis, including “repro_evt2.fits” chandra_repro also works on grating data

Now you have calibrated data and are ready to do science. You may want to take a look at the data by making a three color fluxed image using 'fluximage'; cd into the repro directory and run as shown here. - knows about CSC bands soft, med, hard, broad - finds the asol, badpix, mask etc. on its own - makes exposure maps etc.:

CXC-SDS Combining Observations: merge_obs The legacy script merge_all was used to combine observations but it had many limitations - only worked for observations with similar pointing directions and with the same SIM position - does not take the bad pixel masks correctly into account The new script merge_obs allows users to easily create fluxed mosaic images of large regions Given a list of event files, it automatically locates needed auxiliary files in the same directory The script makes exposure-corrected and exposure-thresholded images in one or several user-specified bands

CXC-SDS Combining Observations – Example 1 Adding four observations shows limitations of old script: obsid no 3 has a different SIM position and obsid 4 is a subarray; the new script handles the exposure maps and reprojection correctly in these cases. Avoid bad pixels at edge with thresholding

CXC-SDS merge_obs – Summary. The new script - parallelizes the computation across multiple processors on the host machine - automatically determines the center and size of the mosaic (if the user doesn't specify) by averaging the unit vectors of the pointing directions and taking the union of the reprojected field-of-view polygons - modifies headers to account for the fact that the 'sky' pixel coords go beyond their normal range (which can cause ds9 not to display part of the image) - automatically handles different event input formats by trimming columns as needed - automatic location and use of mask, aspect, bad pixel, parameter block files using values seeded in event file header - sorts input files in time order - for HRC-I, subtract particle background model - thresholds final image using exposure map (default 1.5% of max exposure) - cleans up intermediate files on exit - supports standard catalog energy bands e.g. 'CSC', 'soft' as well as user-specified ones; can use spectral weight files for exposure maps if supplied Limitations: Cannot combine ACIS with HRC-I/S, or HRC-I with HRC-S No ACIS background subtraction No support yet for improving astrometry before merging

CXC-SDS Combining Observations – Example 2 Eta Carina Raw counts (left) Exposure map (right)

CXC Quarterly Report Sep 2012 CXC-SDS Combining Observations – Example 2 cont Eta Carina 40 ACIS-I datasets Mix of FAINT and VFAINT Exposure times from 10 to 90 ks Input was simple list of event files: ls */*evt2* > lis out Result is a set of 1363 x 1537 pixel images (size autocalculated to cover the field)

Grating data chandra_repro: - extracts PHA2 file - recent mod to retain manal V&V extraction region rather than overwrite - plan to enhance to include responses for each arm and order tgextract2 - extract spectra with customized source, bkg extraction regions - useful for multiple source case combine_grating_spectra - coming soon, will coadd spectra and weight responses for - multiple orders - multiple exposures tg_findzo: - methods to find zero order pos even when center is blanked or piled TGCAT (Huenemorder et al) - tgcat.mit.edu Processed grating archive - manually optimized extraction regions extractions for almost all grating observations high level extracted properties

Coming Soon: Easier Fluxes specextract - currently handles old specextract, psextract cases - Source and background ACIS spectra for point and extended cases - Weighted or unweighted ARF and RMF, grouped spectra - BUT: still sometimes awkward to use will improve to automatically locate auxiliary files if chandra_repro has been used combine_spectra - sum multiple imaging PHA spectra, responses (better to do independent fits but more covenient at low S/N) will supplement specextract with higher level script srcflux which wraps use of several existing CIAO tools and scripts srcflux evt2.fits ra,dec src.out - generate regions using typical psf size - use aprates to determine count rates and confidence intervals (or upper limits) - run specextract to generate responses - use eff2evt to estimate fluxes - use modelflux to estimate fluxes given spectral model