2013
DOI: 10.1103/physrevd.87.125006
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Systematic approach toΔL=1processes in thermal leptogenesis

Abstract: In this work we study the contribution to leptogenesis from ∆L = 1 decay and scattering processes mediated by the Higgs with quarks in the initial and final states using the formalism of non-equilibrium quantum field theory. Starting from fundamental equations for correlators of the quantum fields we derive quantum-corrected Boltzmann and rate equations for the total lepton asymmetry improved in that they include quantum-statistical effects and medium corrections to the quasiparticle properties. To compute the… Show more

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Cited by 6 publications
(9 citation statements)
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“…The approach is very systematic but difficult to solve without introducing various approximations. It was first applied to the leptogenesis with a hierarchical structure of the Majorana mass [52], and intensively used in various papers [53]- [64].…”
Section: Jhep08(2014)043mentioning
confidence: 99%
“…The approach is very systematic but difficult to solve without introducing various approximations. It was first applied to the leptogenesis with a hierarchical structure of the Majorana mass [52], and intensively used in various papers [53]- [64].…”
Section: Jhep08(2014)043mentioning
confidence: 99%
“…The thermal mass and width are given by m ,φ ∼ gT , Γ ,φ ∼ g 2 T where g is the SM gauge coupling g. The effects of the thermal plasma play very important roles, and are systematically investigated in [68,69]. For example, the thermal mass of the Higgs becomes larger than the RH neutrino masses at very high temperature.…”
Section: Jhep04(2014)062mentioning
confidence: 99%
“…The effects of scattering can be taken into account 4 by considering the next simplest diagram of figure 5. A systematical study of the KB equation including the scattering effects is given in [68,69].…”
Section: Jhep04(2014)062mentioning
confidence: 99%
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“…and the inclusion of quantum statistical factors[95][96][97][98] which typically introduces an O (10%) error[27,[99][100][101]. To solve the density matrix equations we use the Python interface[102] to the LSODA algorithm[103] that is available in Scientific Python[104].…”
mentioning
confidence: 99%