6,136 research outputs found
Algebraic properties of Gardner's deformations for integrable systems
An algebraic definition of Gardner's deformations for completely integrable
bi-Hamiltonian evolutionary systems is formulated. The proposed approach
extends the class of deformable equations and yields new integrable
evolutionary and hyperbolic Liouville-type systems. An exactly solvable
two-component extension of the Liouville equation is found.Comment: Proc. conf. "Nonlinear Physics: Theory and Experiment IV" (Gallipoli,
2006); Theor. Math. Phys. (2007) 151:3/152:1-2, 16p. (to appear
Relations among neutrino observables in the light of a large theta_13 angle
The recent T2K and MINOS indications for a "large" theta_13 neutrino mixing
angle can be accommodated in principle by an infinite number of Yukawa flavour
structures in the seesaw model. Without considering any explicit flavour
symmetry, there is an instructive exercise one can do: to determine the
simplest flavour structures which can account for the data with a minimum
number of parameters, simply assuming these parameters to be uncorrelated. This
approach points towards a limited number of simple structures which show the
minimum complexity a neutrino mass model must generally involve to account for
the data. These basic structures essentially lead to only 4 relations between
the neutrino observables. We emphasize that 2 of these relations, |sin
theta_13|=(tan theta_23/cos delta)*(1-tan theta_12)/(1+tan theta_12) and |sin
theta_13| = sin theta_12 R^1/4, with R= Delta m^2_21/Delta m^2_32, have several
distinctive properties. First, they hold not only with a minimum number of
parameters, but also for complete classes of more general models. Second, any
value of theta_13 within the T2K and MINOS ranges can be obtained from these
relations by taking into account small perturbations. Third, they turn out to
be the pivot relations of models with approximate conservation of lepton
number, which allow the seesaw interactions to induce observable flavour
violating processes, such as mu -> e gamma and tau -> mu gamma. Finally, in
specific cases of this kind, these structures have the rather unique property
to allow a full reconstruction of the seesaw Lagrangian from low energy data.Comment: 13 pages, 3 figure
Ableitung kumulativer Dosismodelle zur Auswertung physischer Belastungen
Zusammenfassung
Hintergrund
Als vertiefende Reanalyse der Deutschen Wirbelsäulenstudie (DWS1) versucht die DWS-Richtwertestudie die Ableitung von kumulativen Dosismodellen, mit denen der Dosis-Wirkung-Zusammenhang zwischen bandscheibenbedingten Erkrankungen an der Lendenwirbelsäule und physischen Belastungen im Sinne der Berufskrankheit Nr. 2108 der Berufskrankheiten-Verordnung (BKV) für Männer und Frauen beschrieben werden kann. Drei besondere Herausforderungen ergeben sich für die statistische Analyse: 1. Dosimetrie: Das optimale Dosismodell ist unbekannt. Kandidatenmodelle variieren weit mit angesetzten „Schwellen“ für die Rumpfvorneigung, die Lendenwirbelsäulen-Bandscheiben-Druckkraft und die Tagesdosis. (Erst ab der jeweiligen Schwelle werden die Belastungsanteile bei der Dosisbestimmung mit quadratischer Kraftwichtung relativ zur Vorgangsdauer und „Vollwertberücksichtigung“ der Bandscheibendruckkraft einbezogen.) 2. Epidemiologie: Die Form des optimalen Risikomodells [stetige „Odds-ratio“(OR)-Kurve] über der Lebensdosis ist unbekannt und kann komplex sein (z. B. „W-Form“); dies führt zu einer großen Zahl an Kandidatenmodellen. 3. Richtwertermittlung: Auf Basis der Risikoanalyse soll geprüft werden, ob eine Verdopplungsdosis mit 95 %-Konfidenzintervall abgeleitet werden kann, also die Lebensdosis, die mit einer Verdopplung des Erkrankungsrisikos einhergeht.
Material und Methoden
Es wurde eine 2-schrittige Multi-Modell-Analyse (MMA) mit informationsgestützter Modellmittelung durchgeführt. Zu allen sinnvollen Kombinationen der Dosismodelleigenschaften werden als Risikomodelle multivariable fraktionale Polynome (FP) 2. und 4. Grades berechnet. Deren Anpassungsgüte wird mit dem Akaike-Informations-Kriterium (AIC) gemessen. Im 1. Schritt der MMA werden für jede Eigenschaft separat optimale Schwellenwerte durch gewichtete Mittelung bestimmt; hierbei wird als Gewicht der relative Informationsgehalt des jeweiligen FP verwendet (Akaike-Gewicht). Diese optimalen Schwellenwerte werden dann eingesetzt, um ein Kombinationsdosismodell zu ermitteln, dessen Werte als Referenzdosis (Bezugsabszisse) für alle weiteren Analysen dienen. Über dieser Referenzdosis werden in einem 2. Schritt der MMA alle kontinuierlichen Regressionskurven und deren Konfidenzbänder Akaike-gewichtet gemittelt (Mittelung der Modellprädiktoren für jedes Individuum) und auf ein OR = 1 bei einer Dosis = 0 bezogen. Die so ermittelten OR-Schätzer werden mit FP 4. Grades geglättet, um finale stetige OR-Kurven über der Referenzdosis mit 95 %-Konfidenzintervallen zu erhalten. Aus diesen Kurven werden durch Umkehrung die Verdopplungsdosis und ein zugehöriges Konfidenzintervall geschätzt.
Ergebnisse
Die MMA wird auf alle 4 Fallgruppen (FG; 2 Geschlechter, 2 Endpunkte: Prolaps und Chondrose) erfolgreich angewendet. Die Methodik wird an FG 1 (Männer/Prolaps) demonstriert.
Schlussfolgerung
Bei fehlenden oder strittigen biologischen A-priori-Kriterien zur Spezifizierung des optimalen dosimetrischen oder epidemiologischen Modells stellt die MMA einen Lösungsweg dar.
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Creating a FACETS digital toolkit to promote quality of life of people with multiple sclerosis through Participatory Design
In this paper, we report on the first stages of creating a stand-alone digital toolkit focusing on the
homework elements of FACETS (Fatigue: Applying Cognitive behavioural and Energy effectiveness
Techniques to lifeStyle). FACETS is an evidence-based face-to-face fatigue management group
programme for people with multiple sclerosis. This paper details the participatory design process
from requirements elicitation to initial prototyping and how offline activities linked to each session
have been mapped in the digitised solution (mobile app)
The Minimal Scale Invariant Extension of the Standard Model
We perform a systematic analysis of an extension of the Standard Model that
includes a complex singlet scalar field and is scale invariant at the tree
level. We call such a model the Minimal Scale Invariant extension of the
Standard Model (MSISM). The tree-level scale invariance of the model is
explicitly broken by quantum corrections, which can trigger electroweak
symmetry breaking and potentially provide a mechanism for solving the gauge
hierarchy problem. Even though the scale invariant Standard Model is not a
realistic scenario, the addition of a complex singlet scalar field may result
in a perturbative and phenomenologically viable theory. We present a complete
classification of the flat directions which may occur in the classical scalar
potential of the MSISM. After calculating the one-loop effective potential of
the MSISM, we investigate a number of representative scenarios and determine
their scalar boson mass spectra, as well as their perturbatively allowed
parameter space compatible with electroweak precision data. We discuss the
phenomenological implications of these scenarios, in particular, whether they
realize explicit or spontaneous CP violation, neutrino masses or provide dark
matter candidates. In particular, we find a new minimal scale-invariant model
of maximal spontaneous CP violation which can stay perturbative up to
Planck-mass energy scales, without introducing an unnaturally large hierarchy
in the scalar-potential couplings.Comment: 71 pages, 34 eps figures, numerical error corrected, clarifying
comments adde
Physics at a Fermilab Proton Driver
This report documents the physics case for building a 2 MW, 8 GeV
superconducting linac proton driver at Fermilab.Comment: 52 pages, 15 figure
The Gravitino-Stau Scenario after Catalyzed BBN
We consider the impact of Catalyzed Big Bang Nucleosynthesis on theories with
a gravitino LSP and a charged slepton NLSP. In models where the gravitino to
gaugino mass ratio is bounded from below, such as gaugino-mediated SUSY
breaking, we derive a lower bound on the gaugino mass parameter m_1/2. As a
concrete example, we determine the parameter space of gaugino mediation that is
compatible with all cosmological constraints.Comment: 1+14 pages, 6 figures; v2: minor clarifications, 1 reference added,
matches version to appear in JCA
Reinforcement learning or active inference?
This paper questions the need for reinforcement learning or control theory when optimising behaviour. We show that it is fairly simple to teach an agent complicated and adaptive behaviours using a free-energy formulation of perception. In this formulation, agents adjust their internal states and sampling of the environment to minimize their free-energy. Such agents learn causal structure in the environment and sample it in an adaptive and self-supervised fashion. This results in behavioural policies that reproduce those optimised by reinforcement learning and dynamic programming. Critically, we do not need to invoke the notion of reward, value or utility. We illustrate these points by solving a benchmark problem in dynamic programming; namely the mountain-car problem, using active perception or inference under the free-energy principle. The ensuing proof-of-concept may be important because the free-energy formulation furnishes a unified account of both action and perception and may speak to a reappraisal of the role of dopamine in the brain
Development of fluorocarbon evaporative cooling recirculators and controls for the ATLAS pixel and semiconductor tracking detectors
Fitting Neutrino Physics with a U(1)_R Lepton Number
We study neutrino physics in the context of a supersymmetric model where a
continuous R-symmetry is identified with the total Lepton Number and one
sneutrino can thus play the role of the down type Higgs. We show that
R-breaking effects communicated to the visible sector by Anomaly Mediation can
reproduce neutrino masses and mixing solely via radiative contributions,
without requiring any additional degree of freedom. In particular, a relatively
large reactor angle (as recently observed by the Daya Bay collaboration) can be
accommodated in ample regions of the parameter space. On the contrary, if the
R-breaking is communicated to the visible sector by gravitational effects at
the Planck scale, additional particles are necessary to accommodate neutrino
data.Comment: 19 pages, 3 figures; v2: references added, constraints updated,
overall conclusions unchange
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