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most citedArray Programming with NumPy

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hep-ex2011★ 448 cited

Jet energy measurement with the ATLAS detector in proton-proton collisions at sqrt(s) = 7 TeV

ATLAS Collaboration

The jet energy scale (JES) and its systematic uncertainty are determined for jets measured with the ATLAS detector at the LHC in proton-proton collision data at a centre-of-mass en…

math.FA2011

Compositions and convex combinations of asymptotically regular firmly nonexpansive mappings are also asymptotically regular

Heinz H. Bauschke, Victoria Martin-Marquez, Sarah M. Moffat +1

Because of Minty's classical correspondence between firmly nonexpansive mappings and maximally monotone operators, the notion of a firmly nonexpansive mapping has proven to be of b…

cs.SI2011★ 3 cited

Cheaters in the Steam Community Gaming Social Network

Jeremy Blackburn, Ramanuja Simha, Nicolas Kourtellis +5

Online gaming is a multi-billion dollar industry that entertains a large, global population. One unfortunate phenomenon, however, poisons the competition and the fun: cheating. The…

math-ph2011★ 3 cited

On the Convergence to the Continuum of Finite Range Lattice Covariances

David C. Brydges, P. K. Mitter

In J. Stat. Phys. 115, 415-449 (2004) Brydges, Guadagni and Mitter proved the existence of multiscale expansions of a class of lattice Green's functions as sums of positive definit…

math.DS2011★ 17 cited

One dimensional Markov random fields, Markov chains and Topological Markov fields

Nishant Chandgotia, Guangyue Han, Brian Marcus +2

In this paper we show that any one-dimensional stationary, finite-valued Markov Random Field (MRF) is a Markov chain, without any mixing condition or condition on the support. Our…

astro-ph.CO2011★ 25 cited

The Cosmic Web and galaxy evolution around the most luminous X-ray cluster: RXJ1347.5-1145

M. Verdugo, M. Lerchster, H. Boehringer +5

In this paper we study the large scale structures and their galaxy content around the most X-ray luminous cluster known, RX J1347.5-1145 at z=0.45. We make use of ugriz CFHT MEGACA…