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The CMS experiment at the CERN LHC
The Compact Muon Solenoid (CMS) detector is described. The detector operates at the Large Hadron Collider (LHC) at CERN. It was conceived to study proton-proton (and lead-lead) collisions at a…
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CMS Physics : Technical Design Report Volume 1: Detector Performance and Software
CMS Physics Technical Design Report, Volume II: Physics Performance
CMS is a general purpose experiment, designed to study the physics of pp collisions at 14 TeV at the Large Hadron Collider (LHC). It currently involves more than 2000 physicists from more than 150…
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Universality classes in nonequilibrium lattice systems
This work is designed to overview our present knowledge about universality classes occurring in nonequilibrium systems defined on regular lattices. In the first section I summarize the most important…
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CMS physics technical design report: Addendum on high density QCD with heavy ions
This report presents the capabilities of the CMS experiment to explore the rich heavy-ion physics programme offered by the CERN Large Hadron Collider (LHC). The collisions of lead nuclei at energies…
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CMS expression of interest in the SLHC
Universality in Nonequilibrium Lattice Systems: Theoretical Foundations
Critical Exponents of Equilibrium Systems Static and Dynamic Percolation Exponents Spreading Phenomena Introduction to Field Theoretical Approach of Reaction-Diffusion (RD) Systems Topological…
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Griffiths phases and localization in hierarchical modular networks
TLDR
While in the small-world networks originally proposed to model brain connectivity, the topological heterogeneities are not strong enough to induce deviations from mean-field behavior, it is shown that a Griffiths phase can emerge under reduced connection probabilities, approaching the percolation threshold.
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Rare-region effects in the contact process on networks.
TLDR
It is found that Griffiths phases can also emerge--even with constant epidemic rates--as a consequence of mere topological heterogeneity, and Griffithsphase phases are found in finite-dimensional networks as, for instance, a family of generalized small-world networks.
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The topology of large Open Connectome networks for the human brain
TLDR
This work applies statistical model selection to characterize the degree distributions of graphs containing up to nodes and edges of the structural human connectome, finding that a three-parameter generalized Weibull distribution is a good fit to most of the observed degree distributions.
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