10,437 research outputs found
Term and Quark Spin Content of the Nucleon
We report results of our calculation on the term and quark spin
content of the nucleon on the quenched lattice at . The disconnected insertions which involve contributions from the sea
quarks are calculated with the stochastic noise algorithm. As a physical
test of the algorithm, we show that the forward matrix elements of the vector
and pseudoscalar currents for the disconnected insertions are indeed consistent
with the known results of zero. We tried the Wuppertal smeared source and found
it to be more noisy than the point source. With unrenormalized
MeV, we find the term to be MeV. The
strange quark condensate in the nucleon is large, i.e. . For the quark spin content, we find
, , and . The flavor-singlet axial charge .Comment: contribution to Lattice '94; 3 page uuencoded ps fil
Strange Magnetic Moment of The Nucleon from Lattice QCD
We calculate the strange magnetic moment of the nucleon on a quenched lattice at , and with Wilson fermions at =
0.148, 0.152, and 0.154. The strange quark contribution from the disconnected
insertion is estimated stochastically by employing the noise method.
Using an unbiased subtraction along with the help of charge conjugation and
hermiticity, we reduce the error by a factor of 2 with negligible overhead. Our
result is .Comment: Lattice 2000 (Hadronic Matrix Elements), 4 pages 2 fig
Incorporating the standstill distance and time headway distributions into freeway car-following models and an application to estimating freeway travel time reliability
Standstill distances and following time headways are two important microsimulation model parameters associated with driver aggression. This paper investigates the distributions of standstill distances and time headways and incorporates these distributions into car-following models to estimate travel time reliability. By incorporating standstill distance and following headway into car-following models as stochastic parameters, a speed-density region can be generated, based on which various travel-time-reliability measures can be calculated. Key findings of this study are as follows: (1) Both standstill distances and time headways follow fairly dispersed distributions. Therefore, it is suggested that microsimulation models should include the option of allowing standstill distances and time headways to follow distributions as well as to be specified separately for different vehicle classes. (2) By incorporating stochastic standstill distance and time headway parameters in car-following models, travel-time-reliability measures can be estimated more precisely and faster compared with using VISSIM
A feedback-driven bubble G24.136+00.436: a possible site of triggered star formation
We present a multi-wavelength study of the IR bubble G24.136+00.436. The
J=1-0 observations of CO, CO and CO were carried out with
the Purple Mountain Observatory 13.7 m telescope. Molecular gas with a velocity
of 94.8 km s is found prominently in the southeast of the bubble,
shaping as a shell with a total mass of . It is
likely assembled during the expansion of the bubble. The expanding shell
consists of six dense cores. Their dense (a few of cm) and
massive (a few of ) characteristics coupled with the broad
linewidths ( 2.5 km s) suggest they are promising sites of forming
high-mass stars or clusters. This could be further consolidated by the
detection of compact HII regions in Cores A and E. We tentatively identified
and classified 63 candidate YSOs based on the \emph{Spitzer} and UKIDSS data.
They are found to be dominantly distributed in regions with strong emission of
molecular gas, indicative of active star formation especially in the shell. The
HII region inside the bubble is mainly ionized by a O8V star(s), of the
dynamical age 1.6 Myr. The enhanced number of candidate YSOs and
secondary star formation in the shell as well as time scales involved, indicate
a possible scenario of triggering star formation, signified by the "collect and
collapse" process.Comment: 13 pages, 10 figures, 4 tables, accepted by Ap
Stochastic Estimation with Noise
We introduce a noise for the stochastic estimation of matrix inversion
and discuss its superiority over other noises including the Gaussian noise.
This algorithm is applied to the calculation of quark loops in lattice quantum
chromodynamics that involves diagonal and off-diagonal traces of the inverse
matrix. We will point out its usefulness in its applications to estimating
determinants, eigenvalues, and eigenvectors, as well as its limitations based
on the structure of the inverse matrix.Comment: 6 pages, 1 postscript figure, UK/93-0
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