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Matching CIAO and CALDB VersionsCIAO 4.0 requires CALDB 3.4.0 or higher to operate properly. Are your versions mismatched? Time to update CIAO and CALDB! Source Detection and Cosmic-Ray AfterglowsCIAO users who are trying to detect sources of about 10 counts or less should be aware of potential confusion with cosmic-ray afterglows that have not been removed from the data. The Cosmic-Ray Afterglows why topic explains the limitations of the current tools and describes analysis tips to help eliminate more of the afterglows. 23 Jun 2008 CALDB 3.4.5 has been released for use with CIAO 3.4 and CIAO 4.0. Information on the patch is available from the CALDB 3.4.5 Release Notes and How CALDB 3.4.5 Affects Your Analysis. 4 Jun 2008 The CXC announces the return of the Chandra/CIAO workshops. This is the sixth in a series of workshops started in 2001 aimed at helping users to work with the Chandra Interactive Analysis of Observations (CIAO) software. The 6th Chandra/CIAO Workshop will be held 20-22 October 2008 at the Chandra X-ray Center in Cambridge, MA (USA). Registration is now open! 30 May 2008 Several of the CIAO contributed scripts were updated to replace the Unix "head" and "tail" commands with the CIAO tools "dmkeypar" and "pget". A user reported script failure on Mac OS X 10.4 Intel due to incompatible syntax. 16 Apr 2008 CIAO has been patched to CIAO 4.0.2. The CIAO 4.0.2 patch enables CIAO to run on Mac OS X 10.5 (Leopard) Intel. The patch is optional for 10.4 (Tiger) Intel machines. The patch should not be applied to Linux, Solaris, or Mac PowerPC installations of CIAO. Additionally, there is an updated standalone version of ObsVis for Mac OS X Intel; see the ObsVis website for details and the download. |
Welcome to CIAOThe remarkable science capabilities of the Chandra X-ray Observatory demanded new, flexible, multi-dimensional software to analyze the data it returned. The result is CIAO, a system that has proven itself useful for the analysis of data from other, non-X-ray missions, because of the mission independence that is the basis of the CIAO design. The Introduction to Tools and Applications page describes the classes of tools and gives links to the tool help files. The Release Notes have detailed information regarding the most recent version of CIAO and any patches, including new tool descriptions and bug fixes. The Data Caveats page gives warnings for specific data sets. There are CIAO Software downloads available for several platforms. For information regarding calibration and how CIAO uses cal information, try visiting the CALDB page. You may also find the Chandra Instruments and Calibration page useful. High resolution spectroscopy using the Chandra gratings requires a greater amount of atomic physics knowledge than previous X-ray astronomy has done. The CXC has therefore supported the creation of a new atomic physics database, APED. The following is a simple example of how CIAO works. This set of commands creates an energy spectrum for a region of an event file. The data is from the ObsID 214 dataset (an ACIS-S observation of supernova remnant Cassiopeia A), which was downloaded from the Archive. This example uses the Python interface to ChIPS and Sherpa Beta. We begin by loading the event file into the image viewer, ds9. unix% ds9 acisf00214N002_evt2.fits & Then we select regions to contain most of the source emission, shown in green on the image below. The resulting region file (obj.reg) looks like: unix% more obj.reg # Region file format: CIAO version 1.0 circle(3818,3980,408) circle(3436,4150,100)
The dmextract tool can be used to create a spectrum for the source by binning the events which fall within the regions: unix% punlearn dmextract unix% dmextract "acis_evt2.fits[(x,y)=region(obj.reg)][bin pi]" spectrum.fits The PI spectrum can now be plotted and examined using ChIPS, the CIAO plotting tool: unix% chips chips> make_figure("spectrum.fits[cols channel,counts]") chips> quit Which produces the plot shown. The prism file browser can also be used to select data to plot using ChIPS.
This spectrum may also be used as input to Sherpa, the CIAO modeling and fitting tool, and analyzed further:
unix% sherpa
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Welcome to Sherpa: CXC's Modeling and Fitting Package
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Version: CIAO 4.0
sherpa> load_pha("spectrum.fits")
sherpa> plot_data()
sherpa> ignore(250,)
sherpa> plot_data
This filtering shows the detail of the spectrum in the plot below. Analysis of greater depth, such as fitting a source model, may be done in Sherpa once the necessary response files have been created.
The CIAO Threads page contains more examples of frequently used data analysis procedures. |
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