RI-(S)MOM to $$ \overline{\textrm{MS}} $$ conversion for BK at two-loop order

A bstract The Kaon bag parameter $$ {\hat{B}}_K $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mover> <mml:mi>B</mml:mi> <mml:mo>̂</mml:mo> </mml:mover> <mml:mi>K</mml:mi> </mml:msub> </mml:math> plays a critical role in constraining the parameters of the CKM matrix and in probing physics beyond the Standard Model. In this work, we improve the precision of $$ {\hat{B}}_K $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mover> <mml:mi>B</mml:mi> <mml:mo>̂</mml:mo> </mml:mover> <mml:mi>K</mml:mi> </mml:msub> </mml:math> to next-to-next-to-leading order (NNLO) and provide world averages for both 3- and 4-flavour theories. In the course of this, as our main technical development, we carry out the two-loop matching between the RI-(S)MOM and $$ \overline{\textrm{MS}} $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mover> <mml:mi>MS</mml:mi> <mml:mo>¯</mml:mo> </mml:mover> </mml:math> schemes. Our world averages combine all available lattice data, including conversion between the 3- and 4-flavour theories as appropriate. We obtain the result $$ {\hat{B}}_K^{\left(f=3\right)}=0.7627(60) $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mover> <mml:mi>B</mml:mi> <mml:mo>̂</mml:mo> </mml:mover> <mml:mi>K</mml:mi> <mml:mfenced> <mml:mrow> <mml:mi>f</mml:mi> <mml:mo>=</mml:mo> <mml:mn>3</mml:mn> </mml:mrow> </mml:mfenced> </mml:msubsup> <mml:mo>=</mml:mo> <mml:mn>0.7627</mml:mn> <mml:mfenced> <mml:mn>60</mml:mn> </mml:mfenced> </mml:math> , which comprises the complete set of 3- and 4-flavour lattice results and can be used directly in phenomenological applications. The error is dominated by lattice uncertainties and missing higher-order corrections (residual scale dependence). Our averages include a PDG rescaling factor of 1.28 reflecting a mild tension among the lattice inputs after inclusion of NNLO corrections in the scheme conversion and matching across flavour thresholds. Our averages imply an updated value | ϵ K | = 2 . 171(65) pert. (71) non-pert. (153) param. × 10 − 3 . We briefly discuss applications of our results to D -meson mixing.

Authors

Institutions

Publication Details

Journal
Journal of High Energy Physics
Published
2025-09-01
DOI
https://doi.org/10.1007/jhep09(2025)011
Citations
2
Primary Topic
Particle physics theoretical and experimental studies
Type
article
Field-Weighted Citation Impact
3.74

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

RI-(S)MOM to $$ \overline{\textrm{MS}} $$ conversion for BK at two-loop order

Sebastian Jäger, Martin Gorbahn, Sandra Kvedaraitė
2 citations
Journal of High Energy Physics
Particle physics theoretical and experimental studies
3.74
article

RI-(S)MOM to $$ \overline{\textrm{MS}} $$ conversion for BK at two-loop order

Sebastian Jäger, Martin Gorbahn, Sandra Kvedaraitė
article en
2 citations

Abstract

A bstract The Kaon bag parameter $$ {\hat{B}}_K $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mover> <mml:mi>B</mml:mi> <mml:mo>̂</mml:mo> </mml:mover> <mml:mi>K</mml:mi> </mml:msub> </mml:math> plays a critical role in constraining the parameters of the CKM matrix and in probing physics beyond the Standard Model. In this work, we improve the precision of $$ {\hat{B}}_K $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mover> <mml:mi>B</mml:mi> <mml:mo>̂</mml:mo> </mml:mover> <mml:mi>K</mml:mi> </mml:msub> </mml:math> to next-to-next-to-leading order (NNLO) and provide world averages for both 3- and 4-flavour theories. In the course of this, as our main technical development, we carry out the two-loop matching between the RI-(S)MOM and $$ \overline{\textrm{MS}} $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mover> <mml:mi>MS</mml:mi> <mml:mo>¯</mml:mo> </mml:mover> </mml:math> schemes. Our world averages combine all available lattice data, including conversion between the 3- and 4-flavour theories as appropriate. We obtain the result $$ {\hat{B}}_K^{\left(f=3\right)}=0.7627(60) $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mover> <mml:mi>B</mml:mi> <mml:mo>̂</mml:mo> </mml:mover> <mml:mi>K</mml:mi> <mml:mfenced> <mml:mrow> <mml:mi>f</mml:mi> <mml:mo>=</mml:mo> <mml:mn>3</mml:mn> </mml:mrow> </mml:mfenced> </mml:msubsup> <mml:mo>=</mml:mo> <mml:mn>0.7627</mml:mn> <mml:mfenced> <mml:mn>60</mml:mn> </mml:mfenced> </mml:math> , which comprises the complete set of 3- and 4-flavour lattice results and can be used directly in phenomenological applications. The error is dominated by lattice uncertainties and missing higher-order corrections (residual scale dependence). Our averages include a PDG rescaling factor of 1.28 reflecting a mild tension among the lattice inputs after inclusion of NNLO corrections in the scheme conversion and matching across flavour thresholds. Our averages imply an updated value | ϵ K | = 2 . 171(65) pert. (71) non-pert. (153) param. × 10 − 3 . We briefly discuss applications of our results to D -meson mixing.

Journal of High Energy PhysicsVol. 2025(9)
University of Liverpool (GB), University of Sussex (GB), Universidad de Granada (ES)
Science and Technology Facilities Council, Agencia Estatal de Investigación
Openalex Percentile: Top 7%
Particle physics theoretical and experimental studies
3.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.