316 research outputs found

    Energy and system-size dependence of the chiral magnetic effect

    No full text
    The energy dependence of the local and violation in Au+Au and Cu+Cu collisions in a large energy range is estimated within a simple phenomenological model. It is expected that at LHC the chiral magnetic effect will be about 20 times weaker than at RHIC. At lower energy range, covered by the low-energy scan at RHIC and future NICA/FAIR facilities, the created magnetic field strength and energy density of deconfined matter are rather high providing necessary conditions for the chiral magnetic effect. However, the particular model for the chiral magnetic effect predicts that this effect should vanish sharply at energy somewhere above the top SPS one. To elucidate CME background effects the Hadron-String-Dynamics (HSD) transport model including electromagnetic fields is put forward. Importance of new planning experiments at LHC and for the low-energy RHIC scan program is emphasized

    Academic authorship: who, why and in what order?

    Get PDF
    We are frequently asked by our colleagues and students for advice on authorship for scientific articles. This short paper outlines some of the issues that we have experienced and the advice we usually provide. This editorial follows on from our work on submitting a paper1 and also on writing an academic paper for publication.2 We should like to start by noting that, in our view, there exist two separate, but related issues: (a) authorship and (b) order of authors. The issue of authorship centres on the notion of who can be an author, who should be an author and who definitely should not be an author, and this is partly discipline specific. The second issue, the order of authors, is usually dictated by the academic tradition from which the work comes. One can immediately envisage disagreements within a multi-disciplinary team of researchers where members of the team may have different approaches to authorship order

    Modeling and Inversion Methods for the Interpretation of Resistivity Logging Tool Response

    No full text
    The electrical resistivity measured by well logging tools is one of the most important rock parameters for indicating the amount of hydrocarbons present in a reservoir. The main interpretation challenge is to invert the measured data, solving for the true resistivity values in each zone of a reservoir. Inversion is not always an easy task because logging tools measure a bulk average resistivity. Thus reservoir heterogeneity can have a considerable effect on inversion accuracy. Two of the most significant problems are effects caused by regions adjacent to zones of interest and resistivity anisotropy (variation of resistivity with direction). The growing use of directional drilling has recently focused attention on the magnitude of anisotropy effect. Therefore this thesis concentrates on the new area of inversion in anisotropic reservoirs. The geologic origins of anisotropy are examined, and a parametric inversion method is introduced for obtaining directional resistivity values in layered media. Background is also provided on practical modeling methods for use in inversion, and on the physics of various resistivity loggingtools.Information Systems and Technolog
    corecore