Abstract A model based on a$$U(1)_{T^3_R}$$ extension of the Standard Model can address the mass hierarchy between generations of fermions, explain thermal dark matter abundance, and the muon$$g - 2$$ ,$$R_{(D)}$$ , and$$R_{(D^*)}$$ anomalies. The model contains a light scalar boson$$\phi '$$ and a heavy vector-like quark$$\chi _\textrm{u}$$ that can be probed at CERN’s large hadron collider (LHC). We perform a phenomenology study on the production of$$\phi '$$ and$${\chi }_u$$ particles from proton–proton$$(\textrm{pp})$$ collisions at the LHC at$$\sqrt{s}=13.6$$ TeV, primarily through$$g{-g}$$ and$$t{-\chi _\textrm{u}}$$ fusion. We work under a simplified model approach and directly take the$$\chi _\textrm{u}$$ and$$\phi '$$ masses as free parameters. We perform a phenomenological analysis considering$$\chi _\textrm{u}$$ final states to b-quarks, muons, and neutrinos, and$$\phi '$$ decays to$$\mu ^+\mu ^-$$ . A machine learning algorithm is used to maximize the signal sensitivity, considering an integrated luminosity of 3000$$\text {fb}^{-1}$$ . The proposed methodology can be a key mode for discovery over a large mass range, including low masses, traditionally considered difficult due to experimental constraints.
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Conformally Prescribed Scalar Curvature on Orbifolds
Abstract We study the prescribed scalar curvature problem in a conformal class on orbifolds with isolated singularities. We prove a compactness theorem in dimension 4, and an existence theorem which holds in dimensions$$n \ge 4$$ . This problem is more subtle than the manifold case since the positive mass theorem does not hold for ALE metrics in general. We also determine the$$\textrm{U}(2)$$ -invariant Leray–Schauder degree for a family of negative-mass orbifolds found by LeBrun.
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- Award ID(s):
- 2105478
- PAR ID:
- 10379767
- Publisher / Repository:
- Springer Science + Business Media
- Date Published:
- Journal Name:
- Communications in Mathematical Physics
- Volume:
- 398
- Issue:
- 2
- ISSN:
- 0010-3616
- Page Range / eLocation ID:
- p. 877-923
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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