output
20022025
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

Showing 2016Show all

180 papers · 1 filter

astro-ph.HE201631 cited

Towards Self-Consistent Modelling of the Sgr A* Accretion Flow: Linking Theory and Observation

Shawn R. Roberts, Yan-Fei Jiang, Q. Daniel Wang +1

The interplay between supermassive black holes (SMBHs) and their environments is believed to command an essential role in galaxy evolution. The majority of these SMBHs are in the r…

hep-ph2016854 cited

Multiquark Resonances

A. Esposito, A. Pilloni, A. D. Polosa

Multiquark resonances are undoubtedly experimentally observed. The number of states and the amount of details on their properties has been growing over the years. It is very recent…

astro-ph.SR201614 cited

A 16-Year Photometric Campaign on the Eclipsing Novalike Variable DW Ursae Majoris

D. R. S. Boyd, E. de Miguel, J. Patterson +29

We present an analysis of photometric observations of the eclipsing novalike variable DW UMa made by the CBA consortium between 1999 and 2015. Analysis of 372 new and 260 previousl…

astro-ph.HE201666 cited

The NuSTAR Serendipitous Survey: The 40 month Catalog and the Properties of the Distant High Energy X-ray Source Population

G. B. Lansbury, D. Stern, J. Aird +35

We present the first full catalog and science results for the NuSTAR serendipitous survey. The catalog incorporates data taken during the first 40 months of NuSTAR operation, which…

astro-ph.SR201621 cited

The spectroscopic indistinguishability of red giant branch and red clump stars

Thomas Masseron, Keith Hawkins

Stellar spectroscopy provides useful information on the physical properties of stars such as effective temperature, metallicity and surface gravity (log g). However, those photosph…

cs.CL201696 cited

Improving Neural Language Models with a Continuous Cache

Edouard Grave, Armand Joulin, Nicolas Usunier

We propose an extension to neural network language models to adapt their prediction to the recent history. Our model is a simplified version of memory augmented networks, which sto…