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…eval_gradients() methods.
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…/s (conversion factor was missing).
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Switching to a fixed number of iterations led to an inaccuracy of the flux determination that affected considerably the pull distributions. In short, too many events have been simulated. I thus switched back to using the integration precision instead of using a fixed number of iterations, which should be okay for flux computation (flux computation is not involved in likelihood computations).
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Not sure why this was set to 0.1.
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The coding and design conventions (CDC) document was also updated.
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The result was stored in a locally allocated variable, but when the brackets were exited the initial variable with value 0 was used.
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Add GChatter argument to print() method. The print() method now takes an argument of type GChatter to control the chattiness of the output in a homogenous manner. Pass NORMAL chatter level in __str__ method. Add chatter argument to print() methods. Use GLog::chatter() method to control the chattiness of the log stream operator. Add chatter() methods and provide member access through const references. Add chatter() methods, provide member access through const references, and declare one liners as inline methods. The chatter() methods control the new m_chatter attribute that is used to control the chattiness of the object's print() methods. name() and version() methods return const references. logFileOpen() method now sets the chattiness from the applications's chatter parameter, and name() and version() methods now return a const reference.
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The eval_gradients() method is no longer const to reflect the fact that the method explicitly sets the gradient attribute of the model parameters.
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The GModelPar interface has been revisited and the code has been adapted to satisfy the new interface.
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The autoscale() method has been removed as it exists now in the GModelSpectral() base class. The parameter constructor now calls autoscale() to perform an autoscaling of all model parameters.