331 research outputs found
Energetics of complex phase diagram in a tunable bilayer graphene probed by quantum capacitance
Bilayer graphene provides a unique platform to explore the rich physics in
quantum Hall effect. The unusual combination of spin, valley and orbital
degeneracy leads to interesting symmetry broken states with electric and
magnetic field. Conventional transport measurements like resistance
measurements have been performed to probe the different ordered states in
bilayer graphene. However, not much work has been done to directly map the
energetics of those states in bilayer graphene. Here, we have carried out the
magneto capacitance measurements with electric and magnetic field in a
hexagonal boron nitride encapsulated dual gated bilayer graphene device. At
zero magnetic field, using the quantum capacitance technique we measure the gap
around the charge neutrality point as a function of perpendicular electric
field and the obtained value of the gap matches well with the theory. In
presence of perpendicular magnetic field, we observe Landau level crossing in
our magneto-capacitance measurements with electric field. The gap closing and
reopening of the lowest Landau level with electric and magnetic field shows the
transition from one ordered state to another one. Further more we observe the
collapsing of the Landau levels near the band edge at higher electric field
( V/nm), which was predicted theoretically. The complete
energetics of the Landau levels of bilayer graphene with electric and magnetic
field in our experiment paves the way to unravel the nature of ground states of
the system
Distributed Matrix-Vector Multiplication: A Convolutional Coding Approach
Distributed computing systems are well-known to suffer from the problem of
slow or failed nodes; these are referred to as stragglers. Straggler mitigation
(for distributed matrix computations) has recently been investigated from the
standpoint of erasure coding in several works. In this work we present a
strategy for distributed matrix-vector multiplication based on convolutional
coding. Our scheme can be decoded using a low-complexity peeling decoder. The
recovery process enjoys excellent numerical stability as compared to
Reed-Solomon coding based approaches (which exhibit significant problems owing
their badly conditioned decoding matrices). Finally, our schemes are better
matched to the practically important case of sparse matrix-vector
multiplication as compared to many previous schemes. Extensive simulation
results corroborate our findings
Readdressing the hierarchy problem in a Randall-Sundrum scenario with bulk Kalb-Ramond background
We re-examine the fine tuning problem of the Higgs mass, when an
antisymmetric two form Kalb-Ramond (KR) field is present in the bulk of a
Randall-Sundrum (RS) braneworld. Taking into account the back-reaction of the
KR field, we obtain the exact correction to the RS metric. The modified metric
also warps the Higgs mass from Planck scale (in higher dimension) to TeV scale
(on the visible brane) for a range of values of exceeding the original RS
value (where Planck mass and size of extra dimension). However, it
requires an extraordinary suppression of the KR field density, indicating the
re-appearence of the fine tuning problem in a different guise. The new
spacetime also generates a small negative cosmological constant on the visible
brane. These results are particularly relevant for certain string based models,
where the KR field is unavoidably present in the bulk. We further show that
such a bulk antisymmetric KR field fails to stabilize the braneworld.Comment: 4 Pages, Revtex, 1 figure. Important changes and addition. Version to
appear in Class. Quant. Grav. Letter
Equilibration of quantum hall edge states and its conductance fluctuations in graphene p-n junctions
We report an observation of conductance fuctuations (CFs) in the bipolar
regime of quantum hall (QH) plateaus in graphene (p-n-p/n-p-n) devices. The CFs
in the bipolar regime are shown to decrease with increasing bias and
temperature. At high temperature (above 7 K) the CFs vanishes completely and
the flat quantized plateaus are recovered in the bipolar regime. The values of
QH plateaus are in theoretical agreement based on full equilibration of chiral
channels at the p-n junction. The amplitude of CFs for different filling
factors follows a trend predicted by the random matrix theory. Although, there
are mismatch in the values of CFs between the experiment and theory but at
higher filling factors the experimental values become closer to the theoretical
prediction. The suppression of CFs and its dependence has been understood in
terms of time dependent disorders present at the p-n junctions
Hierarchical phylogeny construction
Construction of a phylogenetic tree for a number of species from their genome sequence is very important for understanding the evolutionary history of those species. Rapid improvements in DNA sequencing technology have generated sequence data for huge number of similar isolates with a wide range of single nucleotide polymorphism (SNP) rates, where the SNP rate among some isolates can be thousands of times lower than the others. This kind of genome sequences are difficult for the existing methods because the subtree(s) (or clade) consisting of species or isolates with very low SNP rates may have a very low level of resolution and their evolutionary history may not be accurately represented. Identification of the informative columns in the alignment containing important variations in the genome of those species is important in constructing their evolutionary history. Here we describe a method for selecting informative regions for a set of isolates based on the observation that the likelihood of informative columns are sensitive to changes in the tree topology. We show that these informative columns increase the correctness of the phylogenies constructed for the closely related isolates. Then we address the generalized version of this problem by developing a hierarchical approach to phylogeny construction. In this method, the construction is performed at multiple levels, where at each level, groups of isolates with similar levels of similarity are identified and their phylogenetic trees are constructed. We also detect those multiple levels of similarity in an automated manner. Our results show that this new hierarchical approach is much efficient and sometimes more accurate than existing approaches of building the phylogenetic tree with maximum likelihood from the whole alignment for all the isolates
Randall-Sundrum with Kalb-Ramond field: return of the hierarchy problem?
We show that when the antisymmetric Kalb-Ramond field is included in the
Randall-Sundrum scenario, although the hierarchy problem can be solved, it
requires an extreme fine tuning of the Kalb-Ramond field (about 1 part in
). We interpret this as the return of the problem in disguise.
Further, we show that the Kalb-Ramond field induces a small negative
cosmological constant on the visible brane.Comment: 8 pages, latex, 4 figures. Contributed talk at `Recent Developments
in Gravity' (NEB XII), Nafplion, Greece, 29 June 200
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