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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. 07 May 2008 Information about installing CIAO on unsupported platforms has been added to the Platforms webpage 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. 16 Apr 2008 Mac OS X platforms: FITS table file writing slowness with NFS-mounted disks. FITS table file writing through the CXC Data Model slows by a significant factor on Mac OS X machines - both 10.4 (Tiger) and 10.5 (Leopard) - when the data is accessed via a networked file system (NFS) mount. This issue does not affect Solaris or Linux platforms. |
Introduction to CIAO Tools and ApplicationsCIAO is a data analysis system written for the needs of users of the Chandra X-ray Observatory. Because Chandra data is 4-dimensional (2 spatial, time, energy) and each dimension has many independent elements, CIAO was built to handle N-dimensional data without concern about which particular axes were being analyzed. Also, apart from a few Chandra instrument tools, CIAO is mission independent. CIAO also needed to be able to filter and project the 4-D Chandra event data to managable sizes and convenient arrays. This has to be done flexibly, so we have built all CIAO tools to take a filtering and binning specification on the command line, making use of a general-purpose regions syntax. Since Chandra data can be sliced and diced in so many ways, and because the Chandra calibration is spatially and energy dependent, we needed to keep track of just how the data had been filtered and binned, which we do in a "data subspace". The tools keep track of this subspace automatically and allow users to review previous data processing. The CIAO design allows close interconnection of tools. For example, the output of any of the source DETECT programs can be fed into dmextract to create a summed spectrum which can then be fit in Sherpa. The modeling and fitting tool Sherpa is central to the CIAO system. Sherpa performs forward fitting of models to data in N dimensions. Sherpa includes the Python and S-Lang languages which can be used for scripting and data manipulation. The Sherpa Beta website has information on how to use the application. In order to allow users of Chandra data to use pre-existing tools, all CIAO tools read and write several formats, including FITS images and tables (which includes event files) and IRAF imh files. Altogether CIAO is a powerful system for the analysis of many types of data. Further Information
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The Chandra X-Ray
Center (CXC) is operated for NASA by the Smithsonian Astrophysical Observatory. 60 Garden Street, Cambridge, MA 02138 USA. Email: cxcweb@head.cfa.harvard.edu Smithsonian Institution, Copyright © 1998-2004. All rights reserved. |