The Physics of Cluster Mergers

Clusters of galaxies generally form by the gravitational merger of smaller clusters and groups. Major cluster mergers are the most energetic events in the Universe since the Big Bang. Some of the basic physical properties of mergers will be discussed, with an emphasis on simple analytic arguments rather than numerical simulations. Semi-analytic estimates of merger rates are reviewed, and a simple treatment of the kinematics of binary mergers is given. Mergers drive shocks into the intracluster medium, and these shocks heat the gas and should also accelerate nonthermal relativistic particles. X-ray observations of shocks can be used to determine the geometry and kinematics of the merger. Many clusters contain cooling flow cores; the hydrodynamical interactions of these cores with the hotter, less dense gas during mergers are discussed. As a result of particle acceleration in shocks, clusters of galaxies should contain very large populations of relativistic electrons and ions. Electrons with Lorentz factors gamma~300 (energies E = gamma m_e c^2 ~ 150 MeV) are expected to be particularly common. Observations and models for the radio, extreme ultraviolet, hard X-ray, and gamma-ray emission from nonthermal particles accelerated in these mergers are described.Comment: 38 pages with 9 embedded Postscript figures. To appear in Merging Processes in Clusters of Galaxies, edited by L. Feretti, I. M. Gioia, and G. Giovannini (Dordrecht: Kluwer), in press (2001

Atomistic characterization of the active-site solvation dynamics of a model photocatalyst

The interactions between the reactive excited state of molecular photocatalysts and surrounding solvent dictate reaction mechanisms and pathways, but are not readily accessible to conventional optical spectroscopic techniques. Here we report an investigation of the structural and solvation dynamics following excitation of a model photocatalytic molecular system [Ir 2 (dimen) 4 ] 2+, where dimen is para-diisocyanomenthane. The time-dependent structural changes in this model photocatalyst, as well as the changes in the solvation shell structure, have been measured with ultrafast diffuse X-ray scattering and simulated with Born-Oppenheimer Molecular Dynamics. Both methods provide direct access to the solute-solvent pair distribution function, enabling the solvation dynamics around the catalytically active iridium sites to be robustly characterized. Our results provide evidence for the coordination of the iridium atoms by the acetonitrile solvent and demonstrate the viability of using diffuse X-ray scattering at free-electron laser sources for studying the dynamics of photocatalysis. © The Author(s) 201617111sciescopu

Supplementary Material for: Biomarker Discovery by Mass Spectrometry in Cerebrospinal Fluid and Plasma after Global Hypoxia-Ischemia in Newborn Piglets

<b><i>Background:</i></b> Biomarkers may qualify diagnosis, treatment allocation, and prognostication in neonatal encephalopathy. Biomarker development is challenged by competing etiologies, inter-individual genetic variability, and a lack of specific neonatal markers. To address these challenges, we used a standardized neonatal hypoxic-ischemic (HI) encephalopathy model with pre- and post-HI sampling of cerebrospinal fluid (CSF) and plasma. <b><i>Objectives:</i></b> The study aimed to identify novel candidate protein biomarkers of HI encephalopathy in a newborn piglet model in CSF and plasma. <b><i>Methods:</i></b> F_iO₂ was lowered to 4% in 6 newborn piglets, then adjusted over a 45-min period keeping the amplitude integrated-EEG < 7 µV to induce HI encephalopathy. CSF and plasma was sampled pre-HI and 2 h after HI, protein levels were then analyzed by mass spectrometry. <b><i>Results:</i></b> Protein levels after HI changed significantly for 18 CSF proteins and 37 plasma proteins. CSF and plasma data showed distinct information, although peptidyl-prolyl cis-trans isomerase A had elevated levels in both fluids. HI regulation involved functional groups such as the antioxidant system, cell proliferation, cell structure, and apoptosis. S100-A8, which increased the most in CSF (9.5 fold), is known to be involved in inflammatory and immune response and to be highly regulated during injury. In plasma, increased proteins included FABP1 (31.8 fold) and proteins with antioxidant (SOD1, GPX3) and lectin function (REG3A, LGALS3). <b><i>Conclusions:</i></b> In this exploratory study, we have identified candidate biomarkers for HI in CSF and plasma, many not previously associated with HI. Identified proteins are promising candidates for further validation in time series experiments and clinical studies