4,376 research outputs found
Unifying Multiple Knowledge Domains Using the ARTMAP Information Fusion System
Sensors working at different times, locations, and scales, and experts with different goals, languages, and situations, may produce apparently inconsistent image labels that are reconciled by their implicit underlying relationships. Even when such relationships are unknown to the user, an ARTMAP information fusion system discovers a hierarchical knowledge structure for a labeled dataset. The present paper addresses the problem of integrating two or more independent knowledge hierarchies based on the same low-level classes. The new system fuses independent domains into a unified knowledge structure, discovering cross-domain rules in this process. The system infers multi-level relationships among groups of output classes, without any supervised labeling of these relationships. In order to self-organize its expert system, ARTMAP information fusion system features distributed code representations that exploit the neural network’s capacity for one-to-many learning. The fusion system software and testbed datasets are available from http://cns.bu.edu/techlabNational Science Foundation (SBE-0354378); National Geospatial-Intelligence Agency (NMA 201-01-1-2016
Searching the Sky with CONFIGR-STARS
SyNAPSE program of the Defense Advanced Projects Research Agency (HRL Laboratories LLC, subcontract #801881-BS under DARPA prime contract HR0011-09-C-0001); CELEST, a National Science Foundation Science of Learning Center (SBE-0354378)CONFIGR-STARS, a new methodology based on a model of the human visual system, is developed for registration of star images. The algorithm first applies CONFIGR, a neural model that connects sparse and noisy image components. CONFIGR produces a web of connections between stars in a reference starmap or in a test patch of unknown location. CONFIGR-STARS splits the resulting, typically highly connected, web into clusters, or "constellations." Cluster geometry is encoded as a signature vector that records edge lengths and angles relative to the cluster’s baseline edge. The location of a test patch cluster is identified by comparing its signature to signatures in the codebook of a reference starmap, where cluster locations are known. Simulations demonstrate robust performance in spite of image perturbations and omissions, and across starmaps from different sources and seasons. Further studies would test CONFIGR-STARS and algorithm variations applied to very large starmaps and to other technologies that may employ geometric signatures. Open-source code, data, and demos are available from http://techlab.bu.edu/STARS/
Resummed prediction for Higgs boson production through annihilation at NLL
We present an accurate theoretical prediction for the production of Higgs
boson through bottom quark annihilation at the LHC up to
next-to-next-to-next-to leading order (NLO) plus
next-to-next-to-next-to-leading logarithmic (NLL) accuracy. We determine
the third order perturbative Quantum Chromodynamics (QCD) correction to the
process dependent constant in the resummed expression using the three loop
bottom quark form factor and third order quark soft distribution function.
Thanks to the recent computation of NLO corrections to this production
cross-section from all the partonic channels, an accurate matching can be
obtained for a consistent predictions at NLO+NLL accuracy in QCD. We
have studied in detail the impact of resummed threshold contributions to
inclusive cross-sections at various centre-of-mass energies and also discussed
their sensitivity to renormalization and factorization scales at
next-to-next-to leading order (NNLO) matched with next-to-next-to leading
logarithm (NNLL). At NLO+NLL, we predict the cross-section for
different centre-of-mass energies using the recently available results in
\cite{Duhr:2019kwi} as well as study the renormalization scale dependence at
the same order.Comment: 19 pages, 4 figures, 2 table
Antiferromagnetic vs ferromagnetic interactions and spin-glass-like behavior in ruthenates
We have made a series of gradient-corrected relativistic full-potential
density-functional calculation for Ca-substituted and hole-doped SrRuO in
para, ferro, and -, -, and -type antiferromagnetic states. Magnetic
phase-diagram data for SrCaRuO at 0 K are presented. Neutron
diffraction measurement combined with total energy calculations show that
spin-glass behavior with short-range antiferromagnetic interactions rules in
CaRuO. The substitution of Sr by Ca in SrRuO decreases the
ferromagnetic interaction and enhances the -type antiferromagnetic
interaction; the -AF state is found to stabilize around = 0.75
consistent with experimental observations. Inclusion of spin-orbit coupling is
found to be important in order to arrive at the correct magnetic ground state
in ruthenates.Comment: 5 pages, 3 figures. Solid state communications (in press
Pressure-induced structural transitions in MgH
The stability of MgH has been studied up to 20~GPa using
density-functional total-energy calculations. At ambient pressure
-MgH takes a TiO-rutile-type structure. -MgH is
predicted to transform into -MgH at 0.39~GPa. The calculated
structural data for - and -MgH are in very good agreement
with experimental values. At equilibrium the energy difference between these
modifications is very small, and as a result both phases coexist in a certain
volume and pressure field. Above 3.84~GPa -MgH transforms into
-MgH; consistent with experimental findings. Two further
transformations have been identified at still higher pressure: i) - to
-MgH at 6.73 GPa and (ii) - to -MgH at
10.26~GPa.Comment: 4 pages, 4 figure
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