2020
DOI: 10.1007/jhep04(2020)165
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Muon g − 2 vs LHC Run 2 in supersymmetric models

Abstract: Supersymmetric models with sub-TeV charginos and sleptons have been a candidate for the origin of the long-standing discrepancy in the muon anomalous magnetic moment (g − 2). By gathering all the available LHC Run 2 results, we investigate the latest LHC constraints on models that explain the anomaly by their chargino contribution to the muon g − 2. It is shown that the parameter regions where sleptons are lighter than charginos are strongly disfavored. In contrast, we find that the models with m µL m χ ± 1 ar… Show more

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Cited by 39 publications
(62 citation statements)
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References 82 publications
(151 reference statements)
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“…This makes the new physics possibly required by the (g − 2) µ anomaly an ideal target for direct searches at LHC experiments, which in fact have already reached the sensitivity so to exclude substantial portions of the parameter space of typical models [15][16][17][18][19][20].…”
Section: Jhep06(2020)087mentioning
confidence: 99%
“…This makes the new physics possibly required by the (g − 2) µ anomaly an ideal target for direct searches at LHC experiments, which in fact have already reached the sensitivity so to exclude substantial portions of the parameter space of typical models [15][16][17][18][19][20].…”
Section: Jhep06(2020)087mentioning
confidence: 99%
“…In the latter the relevant LHC searches have been applied without a proper re-casting. All Run II data, again without proper re-casting, but with DM data, was taken into account in [30], favoring models with relatively heavy sleptons. Run II data for chargino/neutralino searches with some DM implications has also been presented in [31,32].…”
Section: Introductionmentioning
confidence: 99%
“…A recent revisit study shows that the latest LHC constraints disfavor the MSSM parameter space smuons are lighter than charginos. So the MSSM explanation of Δa μ indicates that mμ ≥ m˜χAE 1 [50]. Accordingly, the two-loop contribution of a SUSY μ is often taken into consideration to relax the parameter space to some extent.…”
Section: Introductionmentioning
confidence: 99%