Continuing the discussion from Chained PDF definitions: against what would be expected from a stable distribution like the Landau, the convolution of Landau(mpv, sigma)
with Landau(mpv, sigma)
in RooFit
is not yielding the same result as Landau(2mpv, 2sigma)
. I wonder if this is related to numerical issues with the Landau
implementation in ROOT
/RooFit
or with something else.
Hi,
I think the issue is due to a misunderstanding of the parameter of the Landau distribution.
For a Landau(x, m, s) m is not the MPV and the location of the maximum of the distribution, it is just a location parameter. For example for m=0 the maximum of the Landau is -0.22.
We have only an implementation of Landau(t) which is transformed as Landau( x,m,s) with t = (x-m)/s
See more on
https://www.sciencedirect.com/science/article/pii/0010465584900857
for the Landau implementation
Lorenzo
Hi Lorenzo,
So your point is that the underlying univariate approximation is such that the stable distribution properties are violated?
Thanks,
Andre
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