3,924 research outputs found
Black Hole Production at the Large Hadron Collider
Black hole production at the Large Hadron Collider (LHC) is an interesting
consequence of TeV-scale gravity models. The predicted values, or lower limits,
for the fundamental Planck scale and number of extra dimensions will depend
directly on the accuracy of the black hole production cross-section. We give a
range of lower limits on the fundamental Planck scale that could be obtained at
LHC energies. In addition, we examine the effects of parton electric charge on
black hole production using the trapped-surface approach of general relativity.
Accounting for electric charge of the partons could reduce the black hole
cross-section by one to four orders of magnitude at the LHC.Comment: CTP Symposium on Supersymmetry at LHC: Theoretical and Experimental
Perspectives at the British University in Egypt 11-14 March 200
Spin Triplet Supercurrent in Co/Ni Multilayer Josephson Junctions with Perpendicular Anisotropy
We have measured spin-triplet supercurrent in Josephson junctions of the form
S/F'/F/F'/S, where S is superconducting Nb, F' is a thin Ni layer with in-plane
magnetization, and F is a Ni/[Co/Ni]n multilayer with out-of-plane
magnetization. The supercurrent in these junctions decays very slowly with
F-layer thickness, and is much larger than in similar junctions not containing
the two F' layers. Those two features are the characteristic signatures of
spin-triplet supercurrent, which is maximized by the orthogonality of the
magnetizations in the F and F' layers. Magnetic measurements confirm the
out-of-plane anisotropy of the Co/Ni multilayers. These samples have their
critical current optimized in the as-prepared state, which will be useful for
future applications.Comment: 4 pages, 4 figures, formatted in RevTeX version 4. Submitted to
Physical Review B on August 13th, 201
Black Hole Cross Section at the Large Hadron Collider
Black hole production at the Large Hadron Collider (LHC) was first discussed
in 1999. Since then, much work has been performed in predicting the black hole
cross section. In light of the start up of the LHC, it is now timely to review
the state of these calculations. We review the uncertainties in estimating the
black hole cross section in higher dimensions. One would like to make this
estimate as precise as possible since the predicted values, or lower limits,
obtain for the fundamental Planck scale and number of extra dimensions from
experiments will depend directly on the accuracy of the cross section. Based on
the current knowledge of the cross section, we give a range of lower limits on
the fundamental Planck scale that could be obtained at LHC energies.Comment: 28 pages, 9 figures, LaTeX; added references, corrected typos,
expanded discussio
Quantum Entanglement of Moving Bodies
We study the properties of quantum information and quantum entanglement in
moving frames. We show that the entanglement between the spins and the momenta
of two particles can be interchanged under a Lorentz transformation, so that a
pair of particles that is entangled in spin but not momentum in one reference
frame, may, in another frame, be entangled in momentum at the expense of
spin-entanglement. Similarly, entanglement between momenta may be transferred
to spin under a Lorentz transformation. While spin and momentum entanglement
each is not Lorentz invariant, the joint entanglement of the wave function is.Comment: 4 pages, 2 figures. An error was corrected in the numerical data and
hence the discussion of the data was changed. Also, references were added.
Another example was added to the pape
‘Once Upon a Time in Animation’ – Curatorial strategies for an exhibition on the National Centre for Computer Animation
Zeitgeist consists of an innovative neuro-art piece, which offers to induce Flow states through immersive experiences: Zeitgeist, a new artwork by Dr. Shama Rahman and Dr. Oliver Gingrich is an AI-based digital art piece that explores audiovisual neurofeedback strategies to train ‘Flow’ to improve cognitive performance and engagement. This exploration will lead to the development of a prototype platform for cognitive enhancement. This art project looks at effective strategies to enhance mental states by inviting the audience to induce Flow through introspection, thereby designing their own internal to external spaces. The team will develop a real-time ‘Flow’ mental state digital platform utilising EEG deep-learning classification for a feedback loop involving embodied interactive collaborative participation by the audienc
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