28 research outputs found

    Non-equilibrated post freeze out distributions

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    We discuss freeze out on the hypersurface with time-like normal vector, trying to answer how realistic is to assume thermal post freeze out distributions for measured hadrons. Using simple kinetic models for gradual freeze out we are able to generate thermal post FO distribution, but only in highly simplified situation. In a more advanced model, taking into account rescattering and re-thermalization, the post FO distribution gets more complicated. The resulting particle distributions are in qualitative agreement with the experimentally measured pion spectra. Our study also shows that the obtained post FO distribution functions, although analytically very different from the Juttner distribution, do look pretty much like thermal distributions in some range of parameters.Comment: 14 pages, 2 figures, EPJ style, submitted to EPJ

    Simulating the exchange of Majorana zero modes with a photonic system

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    The realization of Majorana zero modes is in the centre of intense theoretical and experimental investigations. Unfortunately, their exchange that can reveal their exotic statistics needs manipulations that are still beyond our experimental capabilities. Here we take an alternative approach. Through the Jordan-Wigner transformation, the Kitaev's chain supporting two Majorana zero modes is mapped to the spin-1/2 chain. We experimentally simulated the spin system and its evolution with a photonic quantum simulator. This allows us to probe the geometric phase, which corresponds to the exchange of two Majorana zero modes positioned at the ends of a three-site chain. Finally, we demonstrate the immunity of quantum information encoded in the Majorana zero modes against local errors through the simulator. Our photonic simulator opens the way for the efficient realization and manipulation of Majorana zero modes in complex architectures

    Flexibility of a Eukaryotic Lipidome – Insights from Yeast Lipidomics

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    Mass spectrometry-based shotgun lipidomics has enabled the quantitative and comprehensive assessment of cellular lipid compositions. The yeast Saccharomyces cerevisiae has proven to be a particularly valuable experimental system for studying lipid-related cellular processes. Here, by applying our shotgun lipidomics platform, we investigated the influence of a variety of commonly used growth conditions on the yeast lipidome, including glycerophospholipids, triglycerides, ergosterol as well as complex sphingolipids. This extensive dataset allowed for a quantitative description of the intrinsic flexibility of a eukaryotic lipidome, thereby providing new insights into the adjustments of lipid biosynthetic pathways. In addition, we established a baseline for future lipidomic experiments in yeast. Finally, flexibility of lipidomic features is proposed as a new parameter for the description of the physiological state of an organism

    Cyanobacterial nitrogenases: phylogenetic diversity, regulation and functional predictions

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