705 research outputs found
Evolving neural networks with genetic algorithms to study the String Landscape
We study possible applications of artificial neural networks to examine the
string landscape. Since the field of application is rather versatile, we
propose to dynamically evolve these networks via genetic algorithms. This means
that we start from basic building blocks and combine them such that the neural
network performs best for the application we are interested in. We study three
areas in which neural networks can be applied: to classify models according to
a fixed set of (physically) appealing features, to find a concrete realization
for a computation for which the precise algorithm is known in principle but
very tedious to actually implement, and to predict or approximate the outcome
of some involved mathematical computation which performs too inefficient to
apply it, e.g. in model scans within the string landscape. We present simple
examples that arise in string phenomenology for all three types of problems and
discuss how they can be addressed by evolving neural networks from genetic
algorithms.Comment: 17 pages, 7 figures, references added, typos corrected, extended
introductory sectio
Natural inflation and moduli stabilization in heterotic orbifolds
We study moduli stabilization in combination with inflation in heterotic
orbifold compactifications in the light of a large Hubble scale and the favored
tensor-to-scalar ratio . To account for a trans-Planckian field
range we implement aligned natural inflation. Although there is only one
universal axion in heterotic constructions, further axions from the geometric
moduli can be used for alignment and inflation. We argue that such an alignment
is rather generic on orbifolds, since all non-perturbative terms are determined
by modular weights of the involved fields and the Dedekind function. We
present two setups inspired by the mini-landscape models of the orbifold which realize aligned inflation and stabilization of
the relevant moduli. One has a supersymmetric vacuum after inflation, while the
other includes a gaugino condensate which breaks supersymmetry at a high scale.Comment: 17 pages, 5 tables, comments and references adde
Torus partition functions and spectra of gauged linear sigma models
Worldsheet (0,2) gauged linear sigma models are often used to study
supersymmetric heterotic string compactifications with non-trivial vector
bundles. We make use of supersymmetric localization techniques to determine
their one-loop partition functions. In particular we derive conditions which
ensure that the full partition function is modular invariant and we propose a
method to determine the massless and massive target space matter spectrum.Comment: 4 pages LaTeX; v2: important technical issue resolved, most results
essentially unchange
Line bundle embeddings for heterotic theories
In heterotic string theories consistency requires the introduction of a
non-trivial vector bundle. This bundle breaks the original ten-dimensional
gauge groups or for the
supersymmetric heterotic string theories and for the non-supersymmetric tachyon-free theory to smaller
subgroups. A vast number of MSSM-like models have been constructed up to now,
most of which describe the vector bundle as a sum of line bundles. However,
there are several different ways of describing these line bundles and their
embedding in the ten-dimensional gauge group. We recall and extend these
different descriptions and explain how they can be translated into each other.Comment: 29+1 pages, 7 tables, 1 figure, typos corrected, clarifying remarks
and references adde
String Theory and the Dark Glueball Problem
We study cosmological constraints on dark pure Yang-Mills sectors. Dark
glueballs are overproduced for large regions of ultraviolet parameter space.
The problem may be alleviated in two ways: via a large preferential reheating
into the visible sector, motivating certain inflation or modulus decay models,
or via decays into axions or moduli, which are strongly constrained by
nucleosynthesis and bounds. String models frequently
have multiple hidden Yang-Mills sectors, which are subject to even stronger
constraints due to the existence of multiple dark glueballs.Comment: 10 page
Global Long-Term Demand for Transportation
This study deals with developing a framework for estimating transportation demand over the long term to 2100. The demand for passenger and freight transport over the past 30 years has been analyzed in order to identify trends that may be applicable to the future for 11 world regions. Each region has been investigated separately and region-specific attributes and correlation of traffic volume to the development of per capita income have been used to determine relationships between these two variables. The approach is introduced and preliminary results are presented and discussed
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