Cover Image

Reconstructing Sparticle masses at the LHC using Generative Machine Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Barman, Rahool Kumar, Choudhury, Arghya, Sarkar, Subhadeep
Format:	Preprint
Published:	2025
Subjects:	High Energy Physics - Phenomenology High Energy Physics - Experiment
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Revisiting the Electroweakino Sector of the Baryon Number Violating MSSM at the HL-LHC with Deep Neural Networks
by: Barman, Rahool Kumar, et al.
Published: (2026)

Improving sensitivity of trilinear RPV SUSY searches using machine learning at the LHC
by: Choudhury, Arghya, et al.
Published: (2023)

Searches for the BSM scenarios at the LHC using decision tree based machine learning algorithms: A comparative study and review of Random Forest, Adaboost, XGboost and LightGBM frameworks
by: Choudhury, Arghya, et al.
Published: (2024)

Top-philic Machine Learning
by: Barman, Rahool Kumar, et al.
Published: (2024)

Lepton Number Violation at the LHC in Radiative Neutrino Mass Models with Leptoquarks
by: Babu, K. S., et al.
Published: (2025)

Slepton searches in the trilinear RPV SUSY scenarios at the HL-LHC and HE-LHC
by: Choudhury, Arghya, et al.
Published: (2023)

Status of R-parity violating SUSY
by: Choudhury, Arghya, et al.
Published: (2024)

Bilinear R-parity violating supersymmetry under the light of neutrino oscillation, higgs and flavor data
by: Choudhury, Arghya, et al.
Published: (2023)

Prospects for exotic $h\rightarrow 4 τ$ decays in single and di-Higgs boson production at the LHC and future hadron colliders
by: Adhikary, Amit, et al.
Published: (2022)

NNLL-fast 2.0: Coloured Sparticle Production at the LHC Run 3 with $\sqrt{S}$ = 13.6 TeV
by: Beenakker, Wim, et al.
Published: (2024)

Current status of the light neutralino thermal dark matter in the phenomenological MSSM
by: Barman, Rahool Kumar, et al.
Published: (2024)

Exploring the Singlino-dominated Thermal Neutralino Dark Matter in the $Z_3$ invariant NMSSM
by: Adhikary, Amit, et al.
Published: (2024)

Markov Chain Monte Carlo analysis to probe trilinear $R$-parity violating SUSY scenarios and possible LHC signatures
by: Choudhury, Arghya, et al.
Published: (2024)

Entanglement and Bell Nonlocality in $τ^+ τ^-$ at the LHC using Machine Learning for Neutrino Reconstruction
by: Zhang, Yulei, et al.
Published: (2025)

Exploring the BSM parameter space with Neural Network aided Simulation-Based Inference
by: Chatterjee, Atrideb, et al.
Published: (2025)

LHC Study of Third-Generation Scalar Leptoquarks with Machine-Learned Likelihoods
by: Arganda, Ernesto, et al.
Published: (2023)

Machine Learning Classification of Sphalerons and Black Holes at the LHC
by: Grefsrud, Aurora Singstad, et al.
Published: (2023)

Reconstructing a Heavy Neutral Lepton at the LHC
by: de la Torre, Pablo, et al.
Published: (2024)

Machine-Learning Performance on Higgs-Pair Production Associated with Dark Matter at the LHC
by: Arganda, Ernesto, et al.
Published: (2024)

Top-philic ALP phenomenology at the LHC: the elusive mass-window
by: Blasi, Simone, et al.
Published: (2023)

From Qubits to Couplings: A Hybrid Quantum Machine Learning Framework for LHC Physics
by: Haddou, Marwan Ait, et al.
Published: (2025)

Probing compressed mass spectra in the type-II seesaw model at the LHC
by: Ashanujjaman, Saiyad, et al.
Published: (2023)

Improved Bounds and Global Fit of Flavor-Violating Charged Lepton Yukawa Couplings post LHC
by: Abu-Ajamieh, Fayez, et al.
Published: (2025)

Improving Neutrino Energy Reconstruction with Machine Learning
by: Kopp, Joachim, et al.
Published: (2024)

Direct bounds on Left-Right gauge boson masses at LHC Run 2
by: Solera, Sergio Ferrando, et al.
Published: (2023)

Improving Heavy Dijet Resonance Searches Using Jet Substructure at the LHC
by: Nayak, Aruna Kumar, et al.
Published: (2019)

LHC Signatures of the Generic Georgi-Machacek Model
by: Ashanujjaman, Saiyad, et al.
Published: (2025)

Open LHC Monte Carlo Event Generation
by: Bothmann, Enrico, et al.
Published: (2026)

Search for Dark Matter in association with a Higgs boson at the LHC: A model independent study
by: Baradia, Sweta, et al.
Published: (2024)

Threshold improved $Z H$ production at the LHC
by: Das, Goutam, et al.
Published: (2025)

Probing sub-TeV Higgsinos aided by a ML-based top tagger in the context of Trilinear RPV SUSY
by: Baruah, Rajneil, et al.
Published: (2024)

Unveiling the Invisible: ALPs and Sterile Neutrinos at the LHC and HL-LHC
by: Cheung, Kingman, et al.
Published: (2024)

LO, NLO, and NNLO Parton Distributions for LHC Event Generators
by: Cruz-Martinez, Juan, et al.
Published: (2024)

Machine-Learning Analysis of Radiative Decays to Dark Matter at the LHC
by: Arganda, Ernesto, et al.
Published: (2024)

Machine learning tagged boosted dark photon: A signature of fermionic portal matter at the LHC
by: Verma, Shivam, et al.
Published: (2024)

Looking for new strategies to probe low mass axion-like particles in ultraperipheral heavy-ion collisions at the LHC
by: Nogarolli, Pedro, et al.
Published: (2025)

Returning CP-Observables to The Frames They Belong
by: Ackerschott, Jona, et al.
Published: (2023)

Probing fully coherent radiation and parton densities using (virtual) photons at the LHC
by: Arleo, François, et al.
Published: (2025)

Searching for Gluino LSP at the LHC
by: Knees, Paulina, et al.
Published: (2024)

Diffraction and elastic scattering at the LHC
by: Fehérkuti, Anna
Published: (2024)