works on

From the 1 of 282 papers with an AI index.

output
20032025
most citedObservation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

10.9k citations

282 papers

cond-mat.quant-gas2025

Confinement and finite-range effects in a quasi-two-dimensional gas of fermionic dimers

Giovanni Midei, Jordi Boronat, Grigory E. Astrakharchik

We investigate the ground-state properties of ultracold two-component Fermi gases in the presence of a transverse harmonic potential, focusing on the strongly interacting regime in…

physics.ins-det2024★ 4 cited

Benchmarking the design of the cryogenics system for the underground argon in DarkSide-20k

20k Collaboration, F. Acerbi, P. Adhikari +315

DarkSide-20k (DS-20k) is a dark matter detection experiment under construction at the Laboratori Nazionali del Gran Sasso (LNGS) in Italy. It utilises ~100 t of low radioactivity a…

cs.CV2024★ 1 cited

Mapping the Unseen: Unified Promptable Panoptic Mapping with Dynamic Labeling using Foundation Models

Mohamad Al Mdfaa, Raghad Salameh, Geesara Kulathunga +2

Panoptic maps enable robots to reason about both geometry and semantics. However, open-vocabulary models repeatedly produce closely related labels that split panoptic entities and…

nucl-ex2024★ 1 cited

Search for a critical point of strongly-interacting matter in central Ar +Sc collisions at 13-75 GeV/ beam momentum

SHINE Collaboration, H. Adhikary, P. Adrich +154

The critical point of strongly interacting matter is searched for at the CERN SPS by the NA61/SHINE experiment in central Ar +Sc collisions at 13, 19, 30, 40…

physics.optics2023★ 34 cited

Topological Darkness: How to Design a Metamaterial for Optical Biosensing with Virtually Unlimited Sensitivity

G. Tselikov, A. Danilov, V. O. Shipunova +3

Due to the absence of labels and fast analyses, optical biosensors promise major advances in biomedical diagnostics, security, environmental and food safety applications. However,…

quant-ph2023★ 11 cited

Robustness of Variational Quantum Algorithms against stochastic parameter perturbation

Daniil Rabinovich, Ernesto Campos, Soumik Adhikary +3

Variational quantum algorithms are tailored to perform within the constraints of current quantum devices, yet they are limited by performance-degrading errors. In this study, we co…