Let's say I'm defining my own reddening fit model, similar to redden(). I use add_slang_function() to register it with ISIS. Call it myRedden(). Should myRedden return bin-integrated values (integrated over \Delta\lambda, the bin width in Angstroms)? If I use a fit_fun("myRedden(1) * powerlaw(1)"), powerlaw(1) is already bin-integrated, so integrating myRedden would mistakenly throw in a factor of bin-width, and it appears that ISIS does not account for that. I.e., ISIS assumes that only one component of a multiplicative model (term) is bin-integrated. Also, comparison with the get_model_counts() values returned by redden() indicates that bin-integration would be wrong. Do I understand this correctly? If so, there is obviously potential for confusion, especially if I use non-physical models like "poly(1) * powerlaw(1)". Just educating myself. Thanks, Rob ---- 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 Mon Nov 06 2006 - 14:35:13 EST
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