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On the CP Nature of the `95 GeV' Anomalies

• Authors : Tanmoy Mondal; Stefano Moretti; Prasenjit Sanyal

Subjects: Extended Scalar Sector; CP Violation; 95 GeV Anomaly

• Source: Physics Letters B, Vol 872, Iss , Pp 140041- (2026)

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Explaining 95 GeV anomalies in the 2-Higgs doublet model type-I

• Authors : Akshat Khanna; Stefano Moretti; Agnivo Sarkar

Subjects: Anomalies; 95 GeV; 2HDM

• Source: Nuclear Physics B, Vol 1022, Iss , Pp 117229- (2026)

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The 95 GeV and 125 GeV Higgs Excesses in the Left-Right Supersymmetric Standard Model

• Authors : Wang, Zhi-Chuan; Yang, Jin-Lei; Qin, Qi-Zhen

Subjects: High Energy Physics - Phenomenology

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Sub-GeV dark matter and nano-Hertz gravitational waves from a classically conformal dark sector

• Authors : Balan, Sowmiya; Bringmann, Torsten; Kahlhoefer, Felix

Subjects: ddc:530; Physics; info:eu-repo/classification/ddc/530

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The impact of strain on the GeV-color center in diamond

• Authors : VAN WIJK, Thijs; MELAN, E. Aylin; MARY JOY, Rani ...

Subjects: Diamond; Density functional theory GeV Zero-phonon-line Strain Germanium; GeV

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Tail-Aware Forecasting of Precipitation Extremes Using STL-GEV and LSTM Neural Networks

• Authors : Haoyu Niu; Samantha Murray; Fouad Jaber

Subjects: extreme precipitation; deep learning; LSTMagris

• Source: Hydrology ; Volume 12 ; Issue 11 ; Pages: 284

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Application of the GEV Distribution in Flood Frequency Analysis in Romania: An In-Depth Analysis

• Authors : Cristian Gabriel Anghel; Dan Ianculescu

Subjects: flood; extreme events; GEVagris

• Source: Climate ; Volume 13 ; Issue 7 ; Pages: 152

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Tail-Aware Forecasting of Precipitation Extremes Using STL-GEV and LSTM Neural Networks

• Authors : Haoyu Niu; Samantha Murray; Fouad Jaber

Subjects: extreme precipitation; deep learning; LSTM

• Source: Hydrology, Vol 12, Iss 11, p 284 (2025)

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A 95 GeV Higgs boson in the U(1)XSSM

• Authors : Song Gao; Shu-Min Zhao; Shuang Di

Subjects: 95 GeV excesses; U(1)XSSM; New physics

• Source: Nuclear Physics B, Vol 1018, Iss , Pp 117026- (2025)

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A Machine Learning Tool for Determining the Required Sample Size for GEV Fitting in Climate Applications

• Authors : R. J. Matear; P. Jyoteeshkumar Reddy

Subjects: generalized extreme value (GEV); extreme climate events; machine learning

• Source: Geophysical Research Letters, Vol 52, Iss 6, Pp n/a-n/a (2025)

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