2,663 research outputs found
Z_N x Z_M orientifolds with and without discrete torsion
We discuss compact four-dimensional Z_N x Z_M type IIB orientifolds. We take
a systematic approach to classify the possible models and construct them
explicitely. The supersymmetric orientifolds of this type have already been
constructed some time ago. We find that there exist several consistent
orientifolds for each of the discrete groups Z_2 x Z_2, Z_2 x Z_4, Z_4 x Z_4,
Z_2 x Z_6, Z_2 x Z_6' and Z_6 x Z_6 if anti-D5-branes are introduced.
Supersymmetry is broken by the open strings ending on antibranes. The rank of
the gauge group is reduced by a factor two if the underlying orbifold space has
discrete torsion.Comment: Latex, 61 page
Photon Regeneration from Pseudoscalars at X-ray Laser Facilities
Recently, the PVLAS collaboration has reported an anomalously large rotation
of the polarization of light in the presence of a magnetic field. As a possible
explanation they consider the existence of a light pseudoscalar particle
coupled to two photons. In this note, we propose a method of independently
testing this result by using a high-energy photon regeneration experiment (the
X-ray analogue of "invisible light shining through walls") using the
synchrotron X-rays from a free-electron laser (FEL). With such an experiment
the region of parameter space implied by PVLAS could be probed in a matter of
minutes.Comment: 3 pages, 2 figure
Inference of Ancestral Recombination Graphs through Topological Data Analysis
The recent explosion of genomic data has underscored the need for
interpretable and comprehensive analyses that can capture complex phylogenetic
relationships within and across species. Recombination, reassortment and
horizontal gene transfer constitute examples of pervasive biological phenomena
that cannot be captured by tree-like representations. Starting from hundreds of
genomes, we are interested in the reconstruction of potential evolutionary
histories leading to the observed data. Ancestral recombination graphs
represent potential histories that explicitly accommodate recombination and
mutation events across orthologous genomes. However, they are computationally
costly to reconstruct, usually being infeasible for more than few tens of
genomes. Recently, Topological Data Analysis (TDA) methods have been proposed
as robust and scalable methods that can capture the genetic scale and frequency
of recombination. We build upon previous TDA developments for detecting and
quantifying recombination, and present a novel framework that can be applied to
hundreds of genomes and can be interpreted in terms of minimal histories of
mutation and recombination events, quantifying the scales and identifying the
genomic locations of recombinations. We implement this framework in a software
package, called TARGet, and apply it to several examples, including small
migration between different populations, human recombination, and horizontal
evolution in finches inhabiting the Gal\'apagos Islands.Comment: 33 pages, 12 figures. The accompanying software, instructions and
example files used in the manuscript can be obtained from
https://github.com/RabadanLab/TARGe
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