A search is presented for an extended Higgs sector with two new particles, X and., in the process X ->phi phi ->(gamma gamma)(gamma gamma).Novel neural networks classify events with diphotons that are merged and determine the diphoton masses. The search uses LHC proton-proton collision data at root s = 13 TeV collected with the CMS detector, corresponding to an integrated luminosity of 138 fb(-1). No evidence of such resonances is seen. Upper limits are set on the production cross section for m(X) between 300 and 3000 GeV and m.=m(X) between 0.5% and 2.5%, representing the most sensitive search in this channel.

Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J.W., Bergauer, T., Chatterjee, S., et al. (2025). Search for New Resonances Decaying to Pairs of Merged Diphotons in Proton-Proton Collisions at √s=13 TeV. PHYSICAL REVIEW LETTERS, 134(4) [10.1103/PhysRevLett.134.041801].

Search for New Resonances Decaying to Pairs of Merged Diphotons in Proton-Proton Collisions at √s=13 TeV

Ciocci, M. A.;Turini, N.;
2025-01-01

Abstract

A search is presented for an extended Higgs sector with two new particles, X and., in the process X ->phi phi ->(gamma gamma)(gamma gamma).Novel neural networks classify events with diphotons that are merged and determine the diphoton masses. The search uses LHC proton-proton collision data at root s = 13 TeV collected with the CMS detector, corresponding to an integrated luminosity of 138 fb(-1). No evidence of such resonances is seen. Upper limits are set on the production cross section for m(X) between 300 and 3000 GeV and m.=m(X) between 0.5% and 2.5%, representing the most sensitive search in this channel.
2025
Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J.W., Bergauer, T., Chatterjee, S., et al. (2025). Search for New Resonances Decaying to Pairs of Merged Diphotons in Proton-Proton Collisions at √s=13 TeV. PHYSICAL REVIEW LETTERS, 134(4) [10.1103/PhysRevLett.134.041801].
File in questo prodotto:
File Dimensione Formato  
PhysRevLett.134.041801.pdf

accesso aperto

Tipologia: PDF editoriale
Licenza: Creative commons
Dimensione 1.07 MB
Formato Adobe PDF
1.07 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1324261