113 citations
- University of OregonUS29 papers
- Centre National de la Recherche ScientifiqueFR10 papers
- European Organization for Nuclear ResearchCH10 papers
- High Energy Accelerator Research OrganizationJP10 papers
- Lawrence Berkeley National LaboratoryUS10 papers
- SLAC National Accelerator LaboratoryUS10 papers
- University of GenevaCH10 papers
- University of Wisconsin–MadisonUS10 papers
- Aix-Marseille UniversitéFR9 papers
- Brandeis UniversityUS9 papers
- Indiana University BloomingtonUS9 papers
- Institute of High Energy PhysicsCN9 papers
29 papers
Study of Particle Fluence Effects on Collected Charge and Depletion Voltage of the ATLAS IBL Planar Pixel Sensors
ATLAS Collaboration
After ten years of operation at the LHC, the planar pixel sensors of the innermost barrel layer of the ATLAS Pixel detector have accumulated an average bulk damage fluence in exces…
Generic Long-Range Order-Parameter Correlations in Metallic Quantum Magnets
T. R. Kirkpatrick, D. Belitz
It is shown that in all types of metallic magnets the coupling of the order parameter to the conduction electrons leads to an order-parameter susceptibility that is long-ranged at…
Comment on "Instability of the ferromagnetic quantum critical point and symmetry of the ferromagnetic ground state in two-dimensional and three-dimensional electron gases with arbitrary spin-orbit splitting"
D. Belitz, T. R. Kirkpatrick
Metallic quantum ferromagnets in the absence of quenched disorder are known to generically undergo a first-order quantum phase transition, avoiding the quantum critical point that…
Long-lived particles: theory and experimental probes
Laura Jeanty, Brian Shuve
Long-lived particles (LLPs) are particles that are stable or that live long enough for their decays to be experimentally distinguishable in time or position from their production p…
Evidence of the pair instability gap from black hole masses
Hui Tong, Maya Fishbach, Eric Thrane +13
Stellar theory predicts a forbidden range of black-hole masses between -- due to pair-instability supernovae, but evidence for such a gap in the mass distri…
An implementation of neural simulation-based inference for parameter estimation in ATLAS
ATLAS Collaboration
Neural simulation-based inference is a powerful class of machine-learning-based methods for statistical inference that naturally handles high-dimensional parameter estimation witho…