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2017:groups:np:efttherror [2017/06/22 12:15]
olivier.mattelaer
2017:groups:np:efttherror [2017/08/15 13:45] (current)
francesco.riva
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 [Estimation of the theoretical uncertainties in EFT] [Estimation of the theoretical uncertainties in EFT]
  
-** interested people:** Olivier Mattelaer, Ken Mimasu, Kentarou Mawatari, Shankha Banerjee, Biplob Bhattacherjee,​ Francesco Riva, Benjamin Fuks, Ramona Groeber, Julia Harz, Jorge de Blas, Kristin Lohwasser, Alexandra Carvalho... ADD YOUR NAME HERE+** interested people:** Olivier Mattelaer, Ken Mimasu, Kentarou Mawatari, Shankha Banerjee, Biplob Bhattacherjee,​ Francesco Riva, Benjamin Fuks, Ramona Groeber, Julia Harz, Jorge de Blas, Kristin Lohwasser, Alexandra Carvalho, Adam Falkowski... ADD YOUR NAME HERE
  
  
-A question that often arises is wheter dimension-8 effects compromise present analysis testing dimension-6 ones. Normally this requires a discussion about the expected size of dimension-8 operators under given assumptions (see for instance "On the Validity of the Effective Field Theory Approach to SM Precision Tests" https://​arxiv.org/​pdf/​1604.06444.pdf) 
  
-Here we want to compute a class of dimesnion-8 effects that arises after a change of basis, in such a way that their coefficient is uniquely related to the coefficients of dimension-6 operators.+A question that often arises is whether dimension-8 effects compromise present analysis testing dimension-6 ones. Normally this requires a discussion about the expected size of dimension-8 operators under given assumptions (see for instance "On the Validity of the Effective Field Theory Approach to SM Precision Tests" https://​arxiv.org/​pdf/​1604.06444.pdf) 
 + 
 +Here we want to compute a class of dimension-8 effects that arises after a change of basis, in such a way that their coefficient is uniquely related to the coefficients of dimension-6 operators.
 The goal of this analysis will be to understand under what conditions we can trust the dimension-6 analysis in the rotated basis. The goal of this analysis will be to understand under what conditions we can trust the dimension-6 analysis in the rotated basis.
  
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 1) perform field redefinition to find the coefficient of O_8 as a function of the coefficient of O_1 1) perform field redefinition to find the coefficient of O_8 as a function of the coefficient of O_1
--> Francesco+-> **Francesco**
  
 2) comupte contribution to \psi\psi -> V_L V_L from O_1, O_2 and O_8 2) comupte contribution to \psi\psi -> V_L V_L from O_1, O_2 and O_8
 Use Re-Weighting method to avoid statistical error in the various generation Use Re-Weighting method to avoid statistical error in the various generation
--> Model and param_card created by Ken -> Run by Olivier+-> Model and param_card created by Ken + **Ramona** ​-> Run by **Olivier**
  
 3) Impose that the quadratic piece be bigger than the linear piece, and test in these conditions how big the dimension-8 contribution becomes 3) Impose that the quadratic piece be bigger than the linear piece, and test in these conditions how big the dimension-8 contribution becomes
--> Olivier+-> **Olivier**
  
 4) Understand wheter this behavior is the same in other processes 4) Understand wheter this behavior is the same in other processes
--> Shanka: O_W, O_B and O_WB and O_phi_1 (this one is strongly constrained by custodial symmetry, that's what I remember) (Eq. 2 in Ref. https://​arxiv.org/​pdf/​1211.4580.pdf) which modify the ZWW/ gamma WW couplings as given in Eqs. 27 and 28. +-> **Shankha**: O_W, O_B and O_WB and O_phi_1 (this one is strongly constrained by custodial symmetry, that's what I remember) (Eq. 2 in Ref. https://​arxiv.org/​pdf/​1211.4580.pdf) which modify the ZWW/ gamma WW couplings as given in Eqs. 27 and 28. 
--> Ken for generating the model, ​Shanka ​for the generation/​comparaison+-> **Ken** and **Ramona** ​for generating the model, ​**Biplob** and **Shankha** ​for the generation/​comparaison
  
  
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 1) generate the model with and without those contributions 1) generate the model with and without those contributions
--> Benj+-> **Benj** 
 + 
 + * {{:​2017:​groups:​np:​hel.dim6.fullytruncated.tgz|Here}} is a model fully truncated at the dim 6 level.
  
 2) generate p p > W W (same process as above) and compare the various results. 2) generate p p > W W (same process as above) and compare the various results.
 Use Re-Weighting method to avoid statistical error in the various generation Use Re-Weighting method to avoid statistical error in the various generation
--> Ken and Olivier+-> **Ken** and **Olivier**
  
  
2017/groups/np/efttherror.1498126553.txt.gz · Last modified: 2017/06/22 12:15 by olivier.mattelaer