6,528 research outputs found
Nilpotent Symmetries of a 4D Model of the Hodge Theory: Augmented (Anti-)Chiral Superfield Formalism
We derive the continuous nilpotent symmetries of the four (3 + 1)-dimensional
(4D) model of the Hodge theory (i.e. 4D Abelian 2-form gauge theory) by
exploiting the beauty and strength of the symmetry invariant restrictions on
the (anti-)chiral superfields. The above off-shell nilpotent symmetries are the
Becchi-Rouet-Stora-Tyutin (BRST), anti-BRST and (anti-)co-BRST transformations
which turn up beautifully due to the (anti-)BRST and (anti-)co-BRST invariant
restrictions on the (anti-)chiral superfields that are defined on the (4,
1)-dimensional (anti-)chiral super-submanifolds of the general (4,
2)-dimensional supermanifold on which our ordinary 4D theory is generalized.
The latter supermanifold is characterized by the superspace coordinates where are the
bosonic coordinates and a pair of Grassmannian variables and
are fermionic in nature as they obey the standard relationships:
). The derivation of the {\it proper} (anti-)co-BRST symmetries and proof of
the absolute anticommutativity property of the conserved (anti-)BRST and
(anti-) co-BRST charges are novel results of our present investigation (where
only the (anti-)chiral superfields and their super-expansions have been taken
into account).Comment: LaTeX file, 28 pages, journal reference is give
(Anti-)chiral Superfield Approach to Nilpotent Symmetries: Self-Dual Chiral Bosonic Theory
We exploit the beauty and strength of the symmetry invariant restrictions on
the (anti-)chiral superfields to derive the Becchi-Rouet-Stora-Tyutin (BRST),
anti-BRST and (anti-)co-BRST symmetry transformations in the case of a two
(1+1)-dimensional (2D) self-dual chiral bosonic field theory within the
framework of augmented (anti-)chiral superfield formalism. Our 2D ordinary
theory is generalized onto a (2, 2)-dimensional supermanifold which is
parameterized by the superspace variable Z^M = (x^\mu, \theta, \bar\theta)
where x^\mu (with \mu = 0, 1) are the ordinary 2D bosonic coordinates and
(\theta,\, \bar\theta) are a pair of Grassmannian variables with their standard
relationships: \theta^2 = {\bar\theta}^2 =0, \theta\,\bar\theta +
\bar\theta\theta = 0. We impose the (anti-)BRST and (anti-)co-BRST invariant
restrictions on the (anti-)chiral superfields (defined on the (anti-)chiral (2,
1)-dimensional super-submanifolds of the above general (2, 2)-dimensional
supermanifold) to derive the above nilpotent symmetries. We do not exploit the
mathematical strength of the (dual-)horizontality conditions anywhere in our
present investigation. We also discuss the properties of nilpotency, absolute
anticommutativity and (anti-)BRST and (anti-)co-BRST symmetry invariance of the
Lagrangian density within the framework of our augmented (anti-)chiral
superfield formalism. Our observation of the absolute anticommutativity
property is a completely novel result in view of the fact that we have
considered only the (anti-)chiral superfields in our present endeavor.Comment: LaTeX file, 20 pages, journal reference is give
Manpower information
A description of the NAL nominal roll database (listing basic
information about NAL employees) created using the Ingres relational database software. Using this database it is possible to provide a wide variety of reports about NAL staff, respond to a wide assortment of queries and undertake
elementary statistical analysis to tabulate (and pictorially depict) the average age of NAL scientists, the future retirement pattern of NAL employees etc
Universal Superspace Unitary Operator for Some Interesting Abelian Models: Superfield Approach
Within the framework of augmented version of superfield formalism, we derive
the superspace unitary operator and show its usefulness in the derivation of
Becchi-Rouet-Stora-Tyutin (BRST) and anti-BRST symmetry transformations for a
set of interesting models for the Abelian 1-form gauge theories. These models
are (i) a one (0+1)-dimensional (1D) toy model of a rigid rotor, (ii) the two
(1+1)-dimensional (2D) modified versions of the Proca and anomalous Abelian
1-form gauge theories, and (iii) the 2D self-dual bosonic gauge field theory.
We provide, in some sense, the alternatives to the horizontality condition (HC)
and the gauge invariant restrictions (GIRs) in the language of the above
superspace (SUSP) unitary operator. One of the key observations of our present
endeavor is the result that the SUSP unitary operator and its hermitian
conjugate are found to be the same for all the Abelian models under
consideration (including the 4D interacting Abelian 1-form gauge theories with
Dirac and complex scalar fields which have been discussed earlier). Thus, we
establish the universality of the SUSP operator for the above Abelian theories.Comment: LaTeX file, 16 pages, journal versio
Data-efficient Neuroevolution with Kernel-Based Surrogate Models
Surrogate-assistance approaches have long been used in computationally
expensive domains to improve the data-efficiency of optimization algorithms.
Neuroevolution, however, has so far resisted the application of these
techniques because it requires the surrogate model to make fitness predictions
based on variable topologies, instead of a vector of parameters. Our main
insight is that we can sidestep this problem by using kernel-based surrogate
models, which require only the definition of a distance measure between
individuals. Our second insight is that the well-established Neuroevolution of
Augmenting Topologies (NEAT) algorithm provides a computationally efficient
distance measure between dissimilar networks in the form of "compatibility
distance", initially designed to maintain topological diversity. Combining
these two ideas, we introduce a surrogate-assisted neuroevolution algorithm
that combines NEAT and a surrogate model built using a compatibility distance
kernel. We demonstrate the data-efficiency of this new algorithm on the low
dimensional cart-pole swing-up problem, as well as the higher dimensional
half-cheetah running task. In both tasks the surrogate-assisted variant
achieves the same or better results with several times fewer function
evaluations as the original NEAT.Comment: In GECCO 201
An evaluation of several methods of determining the local angle of attack on wind turbine blades
Rhodovulum visakhapatnamense sp. nov.
A Gram-negative, rod-shaped, phototrophic bacterium (JA181T) was isolated from a tidal water sample. On the basis of 16S rRNA gene sequence similarity, strain JA181T was shown to belong to the class Alphaproteobacteria, most closely related to Rhodovulum sulfidophilum (97.8 % similarity to the type strain), Rhodovulum adriaticum (93 %), Rhodovulum robiginosum (93 %), Rhodovulum iodosum (94 %), Rhodovulum imhoffii (94 %), Rhodovulum strictum (95 %), Rhodovulum euryhalinum (94.6 %) and Rhodovulum marinum (94.6 %). DNA–DNA hybridization with Rdv. sulfidophilum DSM 1374T (relatedness of 39 % with strain JA181T) and physiological and biochemical tests allowed genotypic and phenotypic differentiation of strain JA181T from the eight Rhodovulum species with validly published names. Strain JA181T therefore represents a novel species, for which the name Rhodovulum visakhapatnamense sp. nov. is proposed (type strain JA181T =JCM 13531T =ATCC BAA-1274T =DSM 17937T)
On-line evolving fuzzy clustering
In this paper, a novel on-line evolving fuzzy clustering method that extends the evolving clustering method (ECM) of Kasabov and Song (2002) is presented, called EFCM. Since it is an on-line algorithm, the fuzzy membership matrix of the data is updated whenever the existing cluster expands, or a new cluster is formed. EFCM does not need the numbers of the clusters to be pre-defined. The algorithm is tested on several benchmark data sets, such as Iris, Wine, Glass, E-Coli, Yeast and Italian Olive oils. EFCM results in the least objective function value compared to the ECM and Fuzzy C-Means. It is significantly faster (by several orders of magnitude) than any of the off-line batch-mode clustering algorithms. A methodology is also proposed for using theXie-Beni cluster validity measure to optimize the number of clusters. © 2007 IEEE
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