rgibson> 1) load an arf and rmf, assign them to an empty data set rgibson> 2) define a model and evaluate that model on the arf/rmf rgibson> grid to get a counts spectrum rgibson> 3) use x=get_model_counts and then define_counts(x) to rgibson> generate a counts spectrum that exactly corresponds to rgibson> the model Instead of 2 and 3, why not use fakeit() to generate the simulated counts spectrum? If you want a low-noise simulation, use set_arf_exposure to some very large exposure time. rgibson> 4) use flux_corr to convert the new counts spectrum into rgibson> a flux spectrum rgibson> But when I compare the plot_data_flux spectrum to that of rgibson> my model, they don't quite match. They match up in the This is an approximation to the flux. The response isn't precisely diagonal, so for a very steep spectrum, you might get some difference between the model and the flux-corrected version. See the isis manual for the definition of flux correction. -- Dave David Huenemoerder 617-253-4283 (o); -253-8084 (f); http://space.mit.edu/home/dph MIT Kavli Institute for Astrophysics and Space Research 70 Vassar St., NE80-6065, Cambridge, MA 02139 [Admin. Asst.: Elaine Tirrell, 617-253-7480, egt_at_email.domain.hidden ---- You received this message because you are subscribed to the isis-users list. To unsubscribe, send a message to isis-users-request_at_email.domain.hiddenwith the first line of the message as: unsubscribeReceived on Thu Jul 10 2008 - 13:41:43 EDT
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