125 research outputs found
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Brexit's Implications for UK and European Sanctions Policy
In a new report by the Center on Global Energy Policy, authors Richard Nephew, program director for Economic Statecraft, Sanctions, and Energy Markets at the Center on Global Energy Policy, and David Mortlock, partner and Chair of the Government Relations Group at the law firm of Willkie Farr & Gallagher LLP, outline implications of the UK's decision to withdraw from the European Union in relation to the view and execution of economic sanctions policies in both regions. The paper reviews the legal and political history of EU and UK sanctions policies since the Lisbon Treaty came into effect in 2009 as well as three cases of sanctions policymaking and enforcement – against Iran, Russia, and terrorists – to identify common interests and themes, as well as differences in how the UK and EU perceived sanctions enforcement. The report concludes by offering up three observations concerning how the UK and EU will move forward in their respective sanctions policies and two recommendations for how these two entities, along with the United States, should work together to preserve the benefits that existed prior to BREXIT
A Bayesian approach to star-galaxy classification
Star-galaxy classification is one of the most fundamental data-processing
tasks in survey astronomy, and a critical starting point for the scientific
exploitation of survey data. For bright sources this classification can be done
with almost complete reliability, but for the numerous sources close to a
survey's detection limit each image encodes only limited morphological
information. In this regime, from which many of the new scientific discoveries
are likely to come, it is vital to utilise all the available information about
a source, both from multiple measurements and also prior knowledge about the
star and galaxy populations. It is also more useful and realistic to provide
classification probabilities than decisive classifications. All these
desiderata can be met by adopting a Bayesian approach to star-galaxy
classification, and we develop a very general formalism for doing so. An
immediate implication of applying Bayes's theorem to this problem is that it is
formally impossible to combine morphological measurements in different bands
without using colour information as well; however we develop several
approximations that disregard colour information as much as possible. The
resultant scheme is applied to data from the UKIRT Infrared Deep Sky Survey
(UKIDSS), and tested by comparing the results to deep Sloan Digital Sky Survey
(SDSS) Stripe 82 measurements of the same sources. The Bayesian classification
probabilities obtained from the UKIDSS data agree well with the deep SDSS
classifications both overall (a mismatch rate of 0.022, compared to 0.044 for
the UKIDSS pipeline classifier) and close to the UKIDSS detection limit (a
mismatch rate of 0.068 compared to 0.075 for the UKIDSS pipeline classifier).
The Bayesian formalism developed here can be applied to improve the reliability
of any star-galaxy classification schemes based on the measured values of
morphology statistics alone.Comment: Accepted 22 November 2010, 19 pages, 17 figure
A Simple Likelihood Method for Quasar Target Selection
We present a new method for quasar target selection using photometric fluxes
and a Bayesian probabilistic approach. For our purposes we target quasars using
Sloan Digital Sky Survey (SDSS) photometry to a magnitude limit of g=22. The
efficiency and completeness of this technique is measured using the Baryon
Oscillation Spectroscopic Survey (BOSS) data, taken in 2010. This technique was
used for the uniformly selected (CORE) sample of targets in BOSS year one
spectroscopy to be realized in the 9th SDSS data release. When targeting at a
density of 40 objects per sq-deg (the BOSS quasar targeting density) the
efficiency of this technique in recovering z>2.2 quasars is 40%. The
completeness compared to all quasars identified in BOSS data is 65%. This paper
also describes possible extensions and improvements for this techniqueComment: Updated to accepted version for publication in the Astrophysical
Journal. 10 pages, 10 figures, 3 table
Galaxy formation as a cosmological tool - I. The galaxy merger history as a measure of cosmological parameters
As galaxy formation and evolution over long cosmic time-scales depends to a
large degree on the structure of the universe, the assembly history of galaxies
is potentially a powerful approach for learning about the universe itself. In
this paper we examine the merger history of dark matter halos based on the
Extended Press-Schechter formalism as a function of cosmological parameters,
redshift and halo mass. We calculate how major halo mergers are influenced by
changes in the cosmological values of , ,
, the dark matter particle temperature (warm vs. cold dark matter),
and the value of a constant and evolving equation of state parameter . We
find that the merger fraction at a given halo mass varies by up to a factor of
three for halos forming under the assumption of Cold Dark Matter, within
different underling cosmological parameters. We find that the current
measurements of the merger history, as measured through observed galaxy pairs
as well as through structure, are in agreement with the concordance cosmology
with the current best fit giving . To obtain a more accurate constraint competitive with
recently measured cosmological parameters from Planck and WMAP requires a
measured merger accuracy of , implying surveys with
an accurately measured merger history over 2 - 20 deg, which will be
feasible with the next generation of imaging and spectroscopic surveys such as
Euclid and LSST.Comment: MNRAS, accepted for publication, 22 page
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Meteoric water and glacial melt in the southeastern Amundsen Sea: a time series from 1994 to 2020
Ice sheet mass loss from Antarctica is greatest in the Amundsen Sea sector, where “warm” modified Circumpolar Deep Water moves onto the continental shelf and melts and thins the bases of ice shelves hundreds of meters below the sea surface. We use nearly 1000 paired salinity and oxygen isotope analyses of seawater samples collected on seven expeditions from 1994 to 2020 to produce a time series of glacial meltwater inventory for the southeastern Amundsen Sea continental shelf. Deep water column salinity–δ¹⁸O relationships yield freshwater end-member δ¹⁸O values from -31.3+/-1.0% to -28.4+/-1.0%, consistent with the isotopic composition of local glacial ice. We use a two-component meteoric water end-member approach that accounts for precipitation in the upper water column, and a pure glacial meteoric water end-member is employed for the deep water column. Meteoric water inventories are comprised of nearly pure glacial meltwater in deep shelf waters and of >74 % glacial meltwater in the upper water column. Total meteoric water inventories range from 8.1±0.7 to 9.6±0.8 m and exhibit greater interannual variability than trend over the study period, based on the available data. The relatively long residence time in the southeastern Amundsen Sea allows changes in mean meteoric water inventories to diagnose large changes in local melt rates, and improved understanding of regional circulation could produce well-constrained glacial meltwater fluxes. The two-component meteoric end-member technique improves the accuracy of the sea ice melt and meteoric fractions estimated from seawater δ¹⁸O measurements throughout the entire water column and increases the utility for the broader application of these estimates
Recurrent Tissue-Specific Mtdna Mutations are Common in Humans
Mitochondrial DNA (mtDNA) variation can affect phenotypic variation; therefore, knowing its distribution within and among individuals is of importance to understanding many human diseases. Intra-individual mtDNA variation (heteroplasmy) has been generally assumed to be random. We used massively parallel sequencing to assess heteroplasmy across ten tissues and demonstrate that in unrelated individuals there are tissue-specific, recurrent mutations. Certain tissues, notably kidney, liver and skeletal muscle, displayed the identical recurrent mutations that were undetectable in other tissues in the same individuals. Using RFLP analyses we validated one of the tissue-specific mutations in the two sequenced individuals and replicated the patterns in two additional individuals. These recurrent mutations all occur within or in very close proximity to sites that regulate mtDNA replication, strongly implying that these variations alter the replication dynamics of the mutated mtDNA genome. These recurrent variants are all independent of each other and do not occur in the mtDNA coding regions. The most parsimonious explanation of the data is that these frequently repeated mutations experience tissue-specific positive selection, probably through replication advantage
A quantitative assessment of the annual contribution of platform downwearing to beach sediment budget: Happisburgh, England, UK
Field and numerical investigations at Happisburgh, East coast of England, UK, sought to characterize beach thickness and determine geologic framework controls on coastal change. After a major failure of coastal protection infrastructure, removal of about 1 km of coastal defence along the otherwise protected cliffed coastline of Happisburgh triggered a period of rapid erosion over 20 years of ca. 140 m. Previous sensitivity studies suggest that beach thickness plays a major role in coastal recession. These studies were limited, however, by a lack of beach volume data. In this study, we have integrated the insights gained from our understanding of the Quaternary geology of the area, a novel non-intrusive passive seismic survey method, and a 3D novel representation of the subsurface source and transportable material into a coastal modelling environment to explore the role of beach thickness on the back wearing and downwearing of the cliffs and consolidated platform, respectively. Results show that beach thickness is non-homogeneous along the study site: we estimate that the contribution to near-shore sediment budget via platform downwearing is of a similar order of magnitude as sediment lost from the beach and therefore non-negligible. We have provided a range of evidence to support the idea that the Happisburgh beach is a relatively thin layer perched on a sediment rich platform of sand and gravel. This conceptualization differs from previous publications, which assume that the platform was mostly till and fine material. This has direct implication on regional sediment management along this coastline. The present study contributes to our understanding of a poorly known aspect of coastal sediment budgeting and outlines a quantitative approach that allows for simple integration of geological understanding for coastline evolution assessments worldwid
The inflationary trispectrum
We calculate the trispectrum of the primordial curvature perturbation
generated by an epoch of slow-roll inflation in the early universe, and
demonstrate that the non-gaussian signature imprinted at horizon crossing is
unobservably small, of order tau_NL < r/50, where r < 1 is the tensor-to-scalar
ratio. Therefore any primordial non-gaussianity observed in future microwave
background experiments is likely to have been synthesized by gravitational
effects on superhorizon scales. We discuss the application of Maldacena's
consistency condition to the trispectrum.Comment: 23 pages, 2 diagrams drawn with feynmp.sty, uses iopart.cls. v2,
replaced with version accepted by JCAP. Estimate of maximal tau_NL refined in
Section 5, resulting in smaller numerical value. Sign errors in Eq. (44) and
Eq. (48) corrected. Some minor notational change
Abrupt climatic events during the last glacial-interglacial transition in Alaska
Evidence is mounting that abrupt climatic shifts occurred during the last glacial-interglacial transition (LGIT) in the North Atlantic and other regions. However, few high-resolution climatic records of the LGIT exist from the high latitudes of the North Pacific rim. We analyzed lake sediments from southwestern Alaska for biogenic silica, organic carbon, organic nitrogen, diatom assemblages, and compound-specific hydrogen isotopes. Results reveal climatic changes coincident with the Younger Dryas, Intra-Allerod Cold Period, and Pre-Boreal Oscillation. However, major discrepancies exist in the paleoclimate patterns of the Bolling-Allerod interstadial between our data and the GISP2 18O record from Greenland, and causes are uncertain. These data suggest that the North Pacific and North Atlantic experienced similar reversals during climatic warming of the LGIT but that the Bolling-Allerod cooling trend in the GISP2 18O record is probably not a hemispheric or global pattern
Development of an automatic delineation of cliff top and toe on very irregular planform coastlines (CliffMetrics v1.0)
We describe a new algorithm that automatically delineates the cliff top and toe of a cliffed coastline from a digital elevation model (DEM). The algorithm builds upon existing methods but is specifically designed to resolve very irregular planform coastlines with many bays and capes, such as parts of the coastline of Great Britain. The algorithm automatically and sequentially delineates and smooths shoreline vectors, generates orthogonal transects and elevation profiles with a minimum spacing equal to the DEM resolution, and extracts the position and elevation of the cliff top and toe. Outputs include the non-smoothed raster and smoothed vector coastlines, normals to the coastline (as vector shape files), xyz profiles (as comma-separated-value, CSV, files), and the cliff top and toe (as point shape files). The algorithm also automatically assesses the quality of the profile and omits low-quality profiles (i.e. extraction of cliff top and toe is not possible). The performance of the proposed algorithm is compared with an existing method, which was not specifically designed for very irregular coastlines, and to manually digitized boundaries by numerous professionals. Also, we assess the reproducibility of the results using different DEM resolutions (5, 10 and 50m), different user-defined parameter sets related to the degree of coastline smoothing, and the threshold used to identify the cliff top and toe. The model output sensitivity is found to be smaller than the manually digitized uncertainty. The code and a manual are publicly available on a GitHub repository
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