Landau distribution properties in RooFit (ROOT?)

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.

perhaps @moneta or @vcroft can help here?

Thank you,
Oksana.

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

This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.