Number of loops for alpha_s computation
Dear experts,
I'm trying to understand how MadGraph implements the running of alpha_s with energy. I found the relevant function in [1] (and its translation into Python in [2]), but I'm confused about the choice of the number of loops used in the computation. I know that this argument is somehow determined by the chosen PDF set, but how exactly is it done? Naively, I thought that an LO PDF would call for the one-loop computation, NLO for the two-loop one, and so on. However, numbers do not support this hypothesis.
What I do is generating few events with MadGraph, using a fixed scale, and then checking what value of alpha_s has been written in the LHE file. I compare it against the value computed by Alphas_Runner from [2] for that scale. When running with NNPDF30_lo_as_0130, I reproduce the alpha_s from LHE by setting nloop = 1. However, for the default PDF set "nn23lo1" (which is NNPDF23_
Could you please explain how this parameter is chosen or point me to the relevant documentation? I used MadGraph5_aMC@NLO 2.6.0 for the study if it matters.
[1] Template/
[2] models/
[3] https:/
Cheers,
Andrey
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- Juan Rojo Edit question
- Solved by:
- Andrey Popov
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