353 research outputs found
Interplay of interactions and disorder at the superfluid-insulator transition: A dirty two-dimensional quantum critical point
We study the stability of the Wilson-Fisher fixed point of the quantum O(2N) vector model to quenched disorder in the large-N limit. While a random mass is strongly relevant at the Gaussian fixed point, its effect is screened by the strong interactions of the Wilson-Fisher fixed point. This enables a perturbative renormalization group study of the interplay of disorder and interactions about this fixed point. We show that, in contrast to the spiralling flows obtained in earlier double-ε expansions, the theory flows directly to a quantum critical point characterized by finite disorder and interactions. The critical exponents we obtain for this transition are in remarkable agreement with numerical studies of the superfluid-Mott glass transition. We additionally discuss the stability of this fixed point to scalar and vector potential disorder and use proposed boson-fermion dualities to make conjectures regarding the effects of weak disorder on dual Abelian Higgs and Chern-Simons-Dirac fermion theories when N = 1
Unsupervised discovery of temporal sequences in high-dimensional datasets, with applications to neuroscience.
Identifying low-dimensional features that describe large-scale neural recordings is a major challenge in neuroscience. Repeated temporal patterns (sequences) are thought to be a salient feature of neural dynamics, but are not succinctly captured by traditional dimensionality reduction techniques. Here, we describe a software toolbox-called seqNMF-with new methods for extracting informative, non-redundant, sequences from high-dimensional neural data, testing the significance of these extracted patterns, and assessing the prevalence of sequential structure in data. We test these methods on simulated data under multiple noise conditions, and on several real neural and behavioral datas. In hippocampal data, seqNMF identifies neural sequences that match those calculated manually by reference to behavioral events. In songbird data, seqNMF discovers neural sequences in untutored birds that lack stereotyped songs. Thus, by identifying temporal structure directly from neural data, seqNMF enables dissection of complex neural circuits without relying on temporal references from stimuli or behavioral outputs
Anisotropic thermodynamic and transport properties of single crystalline CaKFeAs
Single crystalline, single phase CaKFeAs has been grown out of a
high temperature, quaternary melt. Temperature dependent measurements of x-ray
diffraction, anisotropic electrical resistivity, elastoresistivity,
thermoelectric power, Hall effect, magnetization and specific heat, combined
with field dependent measurements of electrical resistivity and field and
pressure dependent measurements of magnetization indicate that
CaKFeAs is an ordered, stoichiometric, Fe-based superconductor with
a superconducting critical temperature, = 35.0 0.2 K. Other than
superconductivity, there is no indication of any other phase transition for 1.8
K 300 K. All of these thermodynamic and transport data reveal
striking similarities to that found for optimally- or slightly over-doped
(BaK)FeAs, suggesting that stoichiometric CaKFeAs
is intrinsically close to what is referred to as "optimal-doped" on a
generalized, Fe-based superconductor, phase diagram. The anisotropic
superconducting upper critical field, , of
CaKFeAs was determined up to 630 kOe. The anisotropy parameter
, for applied
perpendicular and parallel to the c-axis, decreases from at
to at 25 K which can be explained by interplay of paramagnetic
pairbreaking and orbital effects. The slopes of
kOe/K and kOe/K at yield an electron mass anisotropy of
and short Ginzburg-Landau coherence lengths
and .
The value of can be extrapolated to
kOe, well above the BCS paramagnetic limit.Comment: 13 pages, 15 figures, part of arXiv:1606.02241 is include
Quark Coulomb Interactions and the Mass Difference of Mirror Nuclei
We study the Okamoto-Nolen-Schiffer (ONS) anomaly in the binding energy of
mirror nuclei at high density by adding a single neutron or proton to a quark
gluon plasma. In this high-density limit we find an anomaly equal to two-thirds
of the Coulomb exchange energy of a proton. This effect is dominated by quark
electromagnetic interactions---rather than by the up-down quark mass
difference. At normal density we calculate the Coulomb energy of neutron matter
using a string-flip quark model. We find a nonzero Coulomb energy because of
the neutron's charged constituents. This effect could make a significant
contribution to the ONS anomaly.Comment: 4 pages, 2 figs. sub. to Phys. Rev. Let
Lift-off dynamics in a simple jumping robot
We study vertical jumping in a simple robot comprising an actuated
mass-spring arrangement. The actuator frequency and phase are systematically
varied to find optimal performance. Optimal jumps occur above and below (but
not at) the robot's resonant frequency . Two distinct jumping modes
emerge: a simple jump which is optimal above is achievable with a squat
maneuver, and a peculiar stutter jump which is optimal below is generated
with a counter-movement. A simple dynamical model reveals how optimal lift-off
results from non-resonant transient dynamics.Comment: 4 pages, 4 figures, Physical Review Letters, in press (2012
TRI-PLANE DIAGRAMS FOR SIMPLE SURFACES IN \u3ci\u3eS\u3c/i\u3e\u3csup\u3e4\u3c/sup\u3e
Meier and Zupan proved that an orientable surface K in S4 admits a tri-plane diagram with zero crossings if and only if K is unknotted, so that the crossing number of K is zero. We determine the minimal crossing numbers of nonorientable unknotted surfaces in S4, proving that c(Pn,m) = max{1, |n−m|}, where Pn,m denotes the connected sum of n unknotted projective planes with normal Euler number +2 and m unknotted projective planes with normal Euler number −2. In addition, we convert Yoshikawa’s table of knotted surface ch-diagrams to tri-plane diagrams, finding the minimal bridge number for each surface in the table and providing upper bounds for the crossing numbers
PTCHD1 Binds Cholesterol but Not Sonic Hedgehog, Suggesting a Distinct Cellular Function
Deleterious mutations in the X-linked Patched domain-containing 1 (PTCHD1) gene may account for up to 1% of autism cases. Despite this, the PTCHD1 protein remains poorly understood. Structural similarities to Patched family proteins point to a role in sterol transport, but this hypothesis has not been verified experimentally. Additionally, PTCHD1 has been suggested to be involved in Hedgehog signalling, but thus far, the experimental results have been conflicting. To enable a variety of biochemical and structural experiments, we developed a method for expressing PTCHD1 in Spodoptera frugiperda cells, solubilising it in glycol-diosgenin, and purifying it to homogeneity. In vitro and in silico experiments show that PTCHD1 function is not interchangeable with Patched 1 (PTCH1) in canonical Hedgehog signalling, since it does not repress Smoothened in Ptch1−/− mouse embryonic fibroblasts and does not bind Sonic Hedgehog. However, we found that PTCHD1 binds cholesterol similarly to PTCH1. Furthermore, we identified 13 PTCHD1-specific protein interactors through co-immunoprecipitation and demonstrated a link to cell stress responses and RNA stress granule formation. Thus, our results support the notion that despite structural similarities to other Patched family proteins, PTCHD1 may have a distinct cellular function
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