11,899 research outputs found
Numerical studies of various Neel-VBS transitions in SU(N) anti-ferromagnets
In this manuscript we review recent developments in the numerical simulations
of bipartite SU(N) spin models by quantum Monte Carlo (QMC) methods. We provide
an account of a large family of newly discovered sign-problem free spin models
which can be simulated in their ground states on large lattices, containing
O(10^5) spins, using the stochastic series expansion method with efficient loop
algorithms. One of the most important applications so far of these Hamiltonians
are to unbiased studies of quantum criticality between Neel and valence bond
phases in two dimensions -- a summary of this body of work is provided. The
article concludes with an overview of the current status of and outlook for
future studies of the "designer" Hamiltonians.Comment: Mini-review article for the proceedings of CCP 2014 (Boston
The Impact of External Audience on Second Graders\u27 Writing Quality
The overarching purpose of writing is to communicate; as such, the intended audience is a critical consideration for writers. However, elementary school writing instruction commonly neglects the role of the audience. Typically, children are asked to compose a piece of text without a specific audience that is usually evaluated by the classroom teacher. Previous studies have found a relationship between audience specification and higher quality writing among older children; this study examines the impact of audience specification on young children’s writing. Using a within-subjects design, the study compared writing quality when second-grade students wrote for internal versus external audiences and found that children are more likely to produce higher quality writing when writing for an external audience than when writing for their teacher
Analyticity as a Robust Constraint on the LHC Cross Section
It is well known that high energy data alone do not discriminate between
asymptotic and behavior of and cross sections.
By exploiting high quality low energy data, analyticity resolves this ambiguity
in favor of cross sections that grow asymptotically as . We here show
that two methods for incorporating the low energy data into the high energy
fits give numerically identical results and yield essentially identical tightly
constrained values for the LHC cross section. The agreement can be understood
as a new analyticity constraint derived as an extension of a Finite Energy Sum
Rule.Comment: 8 pages, Latex2e, 2 postscript figures; major changes made; accepted
for publication in Phys Rev
R\'enyi entanglement entropy of critical SU() spin chains
We present a study of the scaling behavior of the R\'{e}nyi entanglement
entropy (REE) in SU() spin chain Hamiltonians, in which all the spins
transform under the fundamental representation. These SU() spin chains are
known to be quantum critical and described by a well known Wess-Zumino-Witten
(WZW) non-linear sigma model in the continuum limit. Numerical results from our
lattice Hamiltonian are obtained using stochastic series expansion (SSE)
quantum Monte Carlo for both closed and open boundary conditions. As expected
for this 1D critical system, the REE shows a logarithmic dependence on the
subsystem size with a prefector given by the central charge of the SU() WZW
model. We study in detail the sub-leading oscillatory terms in the REE under
both periodic and open boundaries. Each oscillatory term is associated with a
WZW field and decays as a power law with an exponent proportional to the
scaling dimension of the corresponding field. We find that the use of periodic
boundaries (where oscillations are less prominent) allows for a better estimate
of the central charge, while using open boundaries allows for a better estimate
of the scaling dimensions. For completeness we also present numerical data on
the thermal R\'{e}nyi entropy which equally allows for extraction of the
central charge.Comment: 8 pages, 13 figure
The Elusive p-air Cross Section
For the \pbar p and systems, we have used all of the extensive data of
the Particle Data Group[K. Hagiwara {\em et al.} (Particle Data Group), Phys.
Rev. D 66, 010001 (2002).]. We then subject these data to a screening process,
the ``Sieve'' algorithm[M. M. Block, physics/0506010.], in order to eliminate
``outliers'' that can skew a fit. With the ``Sieve'' algorithm, a
robust fit using a Lorentzian distribution is first made to all of the data to
sieve out abnormally high \delchi, the individual i point's
contribution to the total . The fits are then made to the
sieved data. We demonstrate that we cleanly discriminate between asymptotic
and behavior of total hadronic cross sections when we require
that these amplitudes {\em also} describe, on average, low energy data
dominated by resonances. We simultaneously fit real analytic amplitudes to the
``sieved'' high energy measurements of and total cross sections
and -values for GeV, while requiring that their asymptotic
fits smoothly join the the and total cross
sections at 4.0 GeV--again {\em both} in magnitude and slope. Our
results strongly favor a high energy fit, basically excluding a fit. Finally, we make a screened Glauber fit for the p-air cross section,
using as input our precisely-determined cross sections at cosmic ray
energies.Comment: 15 pages, 6 figures, 2 table,Paper delivered at c2cr2005 Conference,
Prague, September 7-13, 2005. Fig. 2 was missing from V1. V3 fixes all
figure
Predicting Proton-Air Cross Sections at sqrt s ~30 TeV, using Accelerator and Cosmic Ray Data
We use the high energy predictions of a QCD-inspired parameterization of all
accelerator data on forward proton-proton and antiproton-proton scattering
amplitudes, along with Glauber theory, to predict proton-air cross sections at
energies near \sqrt s \approx 30 TeV. The parameterization of the proton-proton
cross section incorporates analyticity and unitarity, and demands that the
asymptotic proton is a black disk of soft partons. By comparing with the p-air
cosmic ray measurements, our analysis results in a constraint on the inclusive
particle production cross section.Comment: 9 pages, Revtex, uses epsfig.sty, 5 postscript figures. Minor text
revisions. Systematic errors in k included, procedure for extracting k
clarified. Previously undefined symbols now define
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