| Hands-on Session on Analysis of X-ray Image Data |
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Plan for Hands-on Session on Analysis of X-ray Image Data Monday, July 6 1/ Mike Wise will give a general introduction about X-ray data and images with basic information related calibration files. Aneta will give the short intro on the image fitting. M. Wise's presentation: X-Ray Imaging 2/ We need students to install the current CIAO software including the CIAO scripts and the current CALDB on their computers. For instructions and issues check the CIAO web page: http://cxc.harvard.edu/ciao/ 3/ The students will work with Chandra data and follow the CIAO threads available on the web. http://cxc.harvard.edu/ciao/threads/imag.html 4/ We focus on the final goals: a detection of sources or modeling the images of diffuse emission to obtain the radial profiles, centroids or temperature maps. Suggested threads: - Estimate the source counts - 1838 http://cxc.harvard.edu/ciao/threads/source_counts/ - Measuring the Source extent - 635 http://cxc.harvard.edu/ciao/threads/srcextent/ - Create a PSF with CHART http://cxc.harvard.edu/chart/ - Obtain and fit radial profile - 1838 http://cxc.harvard.edu/ciao/threads/radial_profile/index.py.html 5/ We will use Sherpa to do image fitting with the PSF and exposure maps. The students will follow Sherpa imaging threads (Python version) listed on this web page: http://cxc.harvard.edu/sherpa/threads/fitting.html The data for the Sherpa threads are available in this location: http://cxc.harvard.edu/sherpa/threads/data/sherpa.tar.gz and the thread describing the data and their connection to threads is here: http://cxc.harvard.edu/sherpa/threads/gettingstarted/ We will follow the following Sherpa threads in Python: - Radial and Elliptical Profiles of Image Data http://cxc.harvard.edu/sherpa/threads/spatial-profile/index.py.html - Accounting for PSF Effects in 2D Image Fitting http://cxc.harvard.edu/sherpa/threads/2dpsf/index.py.html The Python script for the last Sherpa thread is located at: http://cxc.harvard.edu/sherpa/threads/2dpsf/fit.py |