19,932 research outputs found
QCD critical end point from a realistic PNJL model
With parameters fixed by critical temperature and equation of state at zero
baryon chemical potential, a realistic Polyakov--Nambu--Jona-Lasinio (rPNJL)
model predicts a critical end point of chiral phase transition at . The extracted freeze-out line from heavy ion
collisions is close to the chiral phase transition boundary in the rPNJL model,
and the kurtosis of baryon number fluctuations from the rPNJL
model along the experimental freeze-out line agrees well with the BES-I
measurement. Our analysis shows that the dip structure of measured
is determined by the relationship between the freeze-out line
and chiral phase transition line at low baryon density region, and the peak
structure can be regarded as a clean signature for the existence of CEP.Comment: 8 papges, proceedings of QCD@Work 201
Discrete Surface Modeling Based on Google Earth: A Case Study
Google Earth (GE) has become a powerful tool for geological, geophysical and
geographical modeling; yet GE can be accepted to acquire elevation data of
terrain. In this paper, we present a real study case of building the discrete
surface model (DSM) at Haut-Barr Castle in France based on the elevation data
of terrain points extracted from GE using the COM API. We first locate the
position of Haut-Barr Castle and determine the region of the study area, then
extract elevation data of terrain at Haut-Barr, and thirdly create a planar
triangular mesh that covers the study area and finally generate the desired DSM
by calculating the elevation of vertices in the planar mesh via interpolating
with Universal Kriging (UK) and Inverse Distance Weighting (IDW). The generated
DSM can reflect the features of the ground surface at Haut-Barr well, and can
be used for constructingthe Sealed Engineering Geological Model (SEGM) in
further step.Comment: Proceedings of IEEE Conference, ICCSNT 2012, in Pres
The Modified Direct Method: an Approach for Smoothing Planar and Surface Meshes
The Modified Direct Method (MDM) is an iterative mesh smoothing method for
smoothing planar and surface meshes, which is developed from the non-iterative
smoothing method originated by Balendran [1]. When smooth planar meshes, the
performance of the MDM is effectively identical to that of Laplacian smoothing,
for triangular and quadrilateral meshes; however, the MDM outperforms Laplacian
smoothing for tri-quad meshes. When smooth surface meshes, for trian-gular,
quadrilateral and quad-dominant mixed meshes, the mean quality(MQ) of all mesh
elements always increases and the mean square error (MSE) decreases during
smoothing; For tri-dominant mixed mesh, the quality of triangles always
descends while that of quads ascends. Test examples show that the MDM is
convergent for both planar and surface triangular, quadrilateral and tri-quad
meshes.Comment: 18 page
- …