4,214 research outputs found
Planes, Chains, and Orbits: Quantum Oscillations and High Magnetic Field Heat Capacity in Underdoped YBCO
The underlying physics of the magnetic-field-induced resistive state in high
temperature cuprate superconductors remains a mystery. One interpretation is
that the application of magnetic field destroys the d-wave superconducting gap
to uncover a Fermi surface that behaves like a conventional (i.e.Fermi Liquid)
metal (1). Another view is that an applied magnetic field destroys long range
superconducting phase coherence, but the superconducting gap amplitude survives
(2, 3). By measuring the specific heat of ultra-clean YBa2Cu3O6.56 (YBCO 6.56),
we obtain a measure of the quasi-particle density of states from the
superconducting state well into the magnetic-field-induced resistive state. We
have found that at very high magnetic fields the specific heat exhibits both
the conventional temperature dependence and quantum oscillations expected for a
Fermi Liquid. On the other hand, the magnetic field dependence of the
quasi-particle density of states follows a \sqrt{H} behavior that persists
right through the zero-resistance transition, evidencing the fully developed
d-wave superconducting gap over the entire magnetic field range measured. The
coexistence of these two phenomena pose a rigorous thermodynamic constraint on
theories of high-magnetic-field resistive state in the cuprates
The String Calculation of QCD Wilson Loops on Arbitrary Surfaces
Compact string expressions are found for non-intersecting Wilson loops in
SU(N) Yang-Mills theory on any surface (orientable or nonorientable) as a
weighted sum over covers of the surface. All terms from the coupled chiral
sectors of the 1/N expansion of the Wilson loop expectation values are
included.Comment: 10 pages, LaTeX, no figure
The Overlooked Potential of Generalized Linear Models in Astronomy-III: Bayesian Negative Binomial Regression and Globular Cluster Populations
In this paper, the third in a series illustrating the power of generalized
linear models (GLMs) for the astronomical community, we elucidate the potential
of the class of GLMs which handles count data. The size of a galaxy's globular
cluster population is a prolonged puzzle in the astronomical
literature. It falls in the category of count data analysis, yet it is usually
modelled as if it were a continuous response variable. We have developed a
Bayesian negative binomial regression model to study the connection between
and the following galaxy properties: central black hole mass,
dynamical bulge mass, bulge velocity dispersion, and absolute visual magnitude.
The methodology introduced herein naturally accounts for heteroscedasticity,
intrinsic scatter, errors in measurements in both axes (either discrete or
continuous), and allows modelling the population of globular clusters on their
natural scale as a non-negative integer variable. Prediction intervals of 99%
around the trend for expected comfortably envelope the data,
notably including the Milky Way, which has hitherto been considered a
problematic outlier. Finally, we demonstrate how random intercept models can
incorporate information of each particular galaxy morphological type. Bayesian
variable selection methodology allows for automatically identifying galaxy
types with different productions of GCs, suggesting that on average S0 galaxies
have a GC population 35% smaller than other types with similar brightness.Comment: 14 pages, 12 figures. Accepted for publication in MNRA
Directed mutagenesis as a technique to study protein function: application to β-lactamase
The function of a protein follows uniquely from its three-dimensional structure, which is unambiguously determined
by the linear sequence of amino acids. Thus to undertake
a systematic study of the relationship between protein
structure and function, one would ideally like to be able to
alter the structural gene in various ways to encode proteins with novel sequences, structures and functions.
Various
mutagenic strategies
and
methods have
recently been
developed
that
allow
one
to
achieve
these objectives
Proteins to Order Use of Synthetic DNA to Generate Site-Specific Mutations
The ability to cause specific changes in the amino acid
sequences of proteins would greatly advance studies on the
influence of protein structure on biochemical function. If
the desired changes can once be made in the nucleic acid
which encodes the protein, one can use cloning in an appropriate microorganism to produce essentially limitless
quantities of the mutant protein. We describe here the
application of oligonucleotide-directed site-specific mutagenesis to accomplish this objective for the enzyme
B-lactamase, the gene for which is contained in the plasmid
pBR322. The method uses a procedure to screen for mutant clones which depends on the DNA in the various colonies and not on the properties of the mutant protein; the method can, therefore, be widely applied and does not require, in each separate case, the development of a screening procedure which depends on some phenotypic difference between mutant and wild-type protein
A Climate-Data Record of the "Clear-Sky" Surface Temperature of the Greenland Ice Sheet
We are developing a climate-data record (CDR of daily "clear-sky" ice-surface temperature (IST) of the Greenland Ice Sheet, from 1982 to the present using Advanced Very High Resolution Radiometer (AVHRR) (1982 - present) and Moderate-Resolution Imaging Spectroradiometer (MODIS) data (2000 - present) at a resolution of approximately 5 km. The CDR will be continued in the National Polar-orbiting Operational Environmental Satellite System Visible/Infrared Imager Radiometer Suite era. Two algorithms remain under consideration. One algorithm under consideration is based on the split-window technique used in the Polar Pathfinder dataset (Fowler et al., 2000 & 21007). Another algorithm under consideration, developed by Comiso (2006), uses a single channel of AVHRR data (channel 4) in conjunction with meteorological-station data to account for atmospheric effects and drift between AVHRR instruments. Known issues being addressed in the production of the CDR are: tune-series bias caused by cloud cover (surface temperatures can be different under clouds vs. clear areas) and cross-calibration in the overlap period between AVHRR instruments, and between AVHRR and MODIS instruments. Because of uncertainties, mainly due to clouds (Stroeve & Steffen, 1998; Wang and Key, 2005; Hall et al., 2008 and Koenig and Hall, submitted), time-series of satellite 1S'1" do not necessarily correspond to actual surface temperatures. The CDR will be validated by comparing results with automatic-,",eather station (AWS) data and with satellite-derived surface-temperature products. Regional "clear-sky" surface temperature increases in the Arctic, measured from AVHRR infrared data, range from 0.57+/-0.02 deg C (Wang and Key, 2005) to 0.72+/-0.10 deg C (Comiso, 2006) per decade since the early 1980s. Arctic warming has important implications for ice-sheet mass balance because much of the periphery of the Greenland Ice Sheet is already near 0 deg C during the melt season, and is thus vulnerable to rapid melting if temperatures continue to increase. Reference
Scale-invariant magnetoresistance in a cuprate superconductor
The anomalous metallic state in high-temperature superconducting cuprates is
masked by the onset of superconductivity near a quantum critical point. Use of
high magnetic fields to suppress superconductivity has enabled a detailed study
of the ground state in these systems. Yet, the direct effect of strong magnetic
fields on the metallic behavior at low temperatures is poorly understood,
especially near critical doping, . Here we report a high-field
magnetoresistance study of thin films of \LSCO cuprates in close vicinity to
critical doping, . We find that the metallic state
exposed by suppressing superconductivity is characterized by a
magnetoresistance that is linear in magnetic field up to the highest measured
fields of T. The slope of the linear-in-field resistivity is
temperature-independent at very high fields. It mirrors the magnitude and
doping evolution of the linear-in-temperature resistivity that has been
ascribed to Planckian dissipation near a quantum critical point. This
establishes true scale-invariant conductivity as the signature of the strange
metal state in the high-temperature superconducting cuprates.Comment: 10 pages, 3 figure
Chemical potential oscillations from a single nodal pocket in the underdoped high-Tc superconductor YBa2Cu3O6+x
The mystery of the normal state in the underdoped cuprates has deepened with
the use of newer and complementary experimental probes. While photoemission
studies have revealed solely `Fermi arcs' centered on nodal points in the
Brillouin zone at which holes aggregate upon doping, more recent quantum
oscillation experiments have been interpreted in terms of an ambipolar Fermi
surface, that includes sections containing electron carriers located at the
antinodal region. To address the question of whether an ambipolar Fermi surface
truly exists, here we utilize measurements of the second harmonic quantum
oscillations, which reveal that the amplitude of these oscillations arises
mainly from oscillations in the chemical potential, providing crucial
information on the nature of the Fermi surface in underdoped YBa2Cu3O6+x. In
particular, the detailed relationship between the second harmonic amplitude and
the fundamental amplitude of the quantum oscillations leads us to the
conclusion that there exists only a single underlying quasi-two dimensional
Fermi surface pocket giving rise to the multiple frequency components observed
via the effects of warping, bilayer splitting and magnetic breakdown. A range
of studies suggest that the pocket is most likely associated with states near
the nodal region of the Brillouin zone of underdoped YBa2Cu3O6+x at high
magnetic fields.Comment: 7 pages, 4 figure
The Co-occurrence of child and intimate partner maltreatment in the family: characteristics of the violent perpetrators
This study considers the characteristics associated with mothers and fathers who maltreat their child and each other in comparison to parents who only maltreat their child. One hundred and sixty-two parents who had allegations of child maltreatment made against them were considered. The sample consisted of 43 fathers (Paternal Family—PF) and 23 mothers (Maternal Family—MF) who perpetrated both partner and child maltreatment, together with 23 fathers (Paternal Child—PC) and 26 mothers (Maternal Child—MC) who perpetrated child maltreatment only. In addition, 2 fathers (Paternal Victim—PV) and 23 mothers (Maternal Victim—MV) were victims of intimate partner maltreatment and perpetrators of child maltreatment and 7 fathers (Paternal Non-abusive Carer—PNC) and 15 mothers (Maternal Non-abusive Carer—MNC) did not maltreat the child but lived with an individual who did. Within their family unit, 40.7% of parents perpetrated both intimate partner and child maltreatment. However, fathers were significantly more likely to maltreat both their partner and child than mothers and mothers were significantly more likely to be victims of intimate partner violence than fathers. PF fathers conducted the highest amount of physical and/or sexual child maltreatment while MC and MV mothers perpetrated the highest amount of child neglect. Few significant differences between mothers were found. PF fathers had significantly more factors associated with development of a criminogenic lifestyle than PC fathers. Marked sex differences were demonstrated with PF fathers demonstrating significantly more antisocial characteristics, less mental health problems and fewer feelings of isolation than MF mothers. MC mothers had significantly more childhood abuse, mental health problems, parenting risk factors and were significantly more likely to be biologically related to the child than PC fathers. This study suggests that violent families should be assessed and treated in a holistic manner, considering the effects of partner violence upon all family members, rather than exclusively intervening with the violent man
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