output
20062024
most citedResults from a search for dark matter in the complete LUX exposure

1.6k citations

Showing 2022Show all

7 papers · 1 filter

astro-ph.HE202230 cited

Evidence for PeV Proton Acceleration from Fermi-LAT Observations of SNR G106.3+2.7

Ke Fang, Matthew Kerr, Roger Blandford +2

The existence of a "knee" at energy ~1 PeV in the cosmic-ray spectrum suggests the presence of Galactic PeV proton accelerators called "PeVatrons". Supernova Remnant (SNR) G106.3+2…

astro-ph.GA202257 cited

BASS XXXII: Studying the Nuclear Mm-wave Continuum Emission of AGNs with ALMA at Scales 100-200 pc

Taiki Kawamuro, Claudio Ricci, Masatoshi Imanishi +25

To understand the origin of nuclear ( 100 pc) millimeter-wave (mm-wave) continuum emission in active galactic nuclei (AGNs), we systematically analyzed sub-arcsec resolut…

astro-ph.HE202224 cited

Limits on X-ray Polarization at the Core of Centaurus A as Observed with the Imaging X-ray Polarimetry Explorer

Steven R. Ehlert, Riccardo Ferrazzoli, Andrea Marinucci +95

We present measurements of the polarization of X-rays in the band from the nucleus of the radio galaxy Centaurus A (Cen A), using a 100ks observation…

cs.RO20226 cited

PlaneSDF-based Change Detection for Long-term Dense Mapping

Jiahui Fu, Chengyuan Lin, Yuichi Taguchi +4

The ability to process environment maps across multiple sessions is critical for robots operating over extended periods of time. Specifically, it is desirable for autonomous agents…

physics.space-ph202215 cited

Global geomagnetic perturbation forecasting using Deep Learning

Vishal Upendran, Panagiotis Tigas, Banafsheh Ferdousi +6

Geomagnetically Induced Currents (GICs) arise from spatio-temporal changes to Earth's magnetic field which arise from the interaction of the solar wind with Earth's magnetosphere,…

cs.CV202214 cited

Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation

Fabio Cermelli, Massimiliano Mancini, Samuel Rota Buló +2

Deep neural networks have enabled major progresses in semantic segmentation. However, even the most advanced neural architectures suffer from important limitations. First, they are…