Age of Sheep Creek Tephra (Pleistocene) in Central Alaska from Thermoluminescence Dating of Bracketing Loess

The age of the Sheep Creek tephra (SCt), a widespread marker ash bed in eastern Alaska and western Yukon Territory, has been ambiguous and controversial. We have obtained three reliable thermoluminescence age estimates from bracketing loess near Fairbanks that imply a deposition age of about 190,000 ± 20,000 yr for SCt. Three of six loess samples near and closely bracketing the SCt beds near Fairbanks yielded younger age estimates (∼117,000 and ∼135,000 yr), most likely (based on field aspects) because of reworking and contamination by translocated grains. The new, reliable age assignment of 190,000 yr confirms independent stratigraphic evidence of a pre-last interglaciation age, and stratigraphic evidence from one site (Upper Eva Creek) that SCt is older than the more-widespread 140,000-yr-old Old Crow tephra. The SCt age also has implications for regional correlations of glacial and nonglacial deposits. In particular, it supports the stratigraphic and geomorphic interpretation that the Delta Glaciation in the east-central Alaska Range and the Reid Glaciation in western Yukon Territory are older than the last interglaciation (isotope substage 5e).     

Neural network methods in hydrodynamic yield estimation

Hydrodynamic theory allows us to use the speed of a shock wave front to determine the yield of an explosion. On the basis of this theory we developed a neural network to estimate a yield of underground explosions from the shock wave radius versus time (RVT) data, as measured by continuous reflectometry for radius versus time experiments (CORRTEX). The proposed method not only replaces the subjective elements of conventional algorithms, but produces significantly improved yield estimates. The network was trained with real hydrodynamic data and its performance on unseen test events was studied. A backpropagation network was employed; the architecture consisted of ten input units, a hidden layer with eleven hidden units, and one output unit. The network was trained with thousands of input-output measurement vectors, the feasible input set, derived from the RVT data from only four other training or standard events (selected on the basis of the given RVT data from the unknown event). The feasible input vectors were propagated through the trained network and the network output was used to select the optimum yield estimate. Elements of the input vector were: center of energy (COE) offsets, shock front radii, and time onset and interval of analysis for both the standard and unknown events. We studied the performance of the proposed system using 24 Nevada Test Site (NTS) events that were located in the geologic medium tuff. Sensitivity analysis of the proposed method to the assumed nominal COE offset is discussed. Variations of the proposed system that might lead to further improvements in performance are suggested.     

Preface

Mathematical Geosciences -     

Far-infrared detection limits – I. Sky confusion due to Galactic cirrus

Fluctuations in the brightness of the background radiation can lead to confusion with real point sources. This type of confusion with background emission is relevant when making infrared (IR) observations with relatively large beam sizes, since the amount of fluctuation tends to increase with the angular scale. To quantitively assess the effect of the background emission on the detection of point sources for current and future far-IR observations by space-borne missions such as Spitzer , ASTRO-F , Herschel and Space Infrared Telescope for Cosmology and Astrophysics ( SPICA ), we have extended the Galactic emission map to a higher level of angular resolution than that of the currently available data. Using this high-resolution map, we estimate the sky confusion noise owing to the emission from interstellar dust clouds or cirrus, based on fluctuation analysis and detailed photometry over realistically simulated images. We find that the confusion noise derived by simple fluctuation analysis agrees well with the results from realistic simulations. Although sky confusion noise becomes dominant in long wavelength bands  (>100 μm)  with 60–90 cm aperture missions, it is expected to be two orders of magnitude lower for the next generation of space missions (with larger aperture sizes) such as Herschel and SPICA .     

Fine‐grained,spinel‐rich inclusions from the reduced CV chondrite Efremovka: II. Oxygen isotopic compositions

Abstract— Oxygen isotopes have been measured by ion microprobe in individual minerals (spinel, Al‐Ti‐diopside, melilite, and anorthite) within four relatively unaltered, fine‐grained, spinel‐rich Ca‐Al‐rich inclusions (CAIs) from the reduced CV chondrite Efremovka. Spinel is uniformly ¹⁶O‐rich (Δ¹⁷O ≤ ?20‰) in all four CAIs; Al‐Ti‐diopside is similarly ¹⁶O‐rich in all but one CAI, where it has smaller ¹⁶O excesses (‐15‰ ≤ Δ¹⁷O ≤ ?10‰). Anorthite and melilite vary widely in composition from ¹⁶O‐rich to ¹⁶O‐poor (‐22‰ ≤ Δ¹⁷O ≤ ?5‰). Two of the CAIs are known to have group II volatility‐fractionated rare‐earth‐element patterns, which is typical of this variety of CAI and which suggests formation by condensation. The association of such trace element patterns with ¹⁶O‐enrichment in these CAIs suggests that they formed by gas‐solid condensation from an ¹⁶O‐rich gas. They subsequently experienced thermal processing in an ¹⁶O‐poor reservoir, resulting in partial oxygen isotope exchange. Within each inclusion, oxygen isotope variations from mineral to mineral are consistent with solid‐state oxygen self‐diffusion at the grain‐to‐grain scale, but such a model is not consistent with isotopic variations at a larger scale in two of the CAIs. The spatial association of ¹⁶O depletions with both elevated Fe contents in spinel and the presence of nepheline suggests that late‐stage iron‐alkali metasomatism played some role in modifying the isotopic patterns in some CAIs. One of the CAIs is a compound object consisting of a coarse‐grained, melilite‐rich (type A) lithology joined to a fine‐grained, spinel‐rich one. Melilite and anorthite in the fine‐grained portion are mainly ¹⁶O‐rich, whereas melilite in the type A portion ranges from ¹⁶O‐rich to ¹⁶O‐poor, suggesting that oxygen isotope exchange predated the joining together of the two parts and that both ¹⁶O‐rich and ¹⁶O‐poor gaseous reservoirs existed simultaneously in the early solar nebula.     

Responding to Negative Public Attitudes towards Immigration through Analysis and Policy: regional and unemployment dimensions

ABSTRACT

This paper examines two key dimensions of the impact of immigration for Australia and related policy aspects. One is sub-national and the other is national. They are, first, the regional location aspects of immigration and, second, the aggregate unemployment implications of immigration. These are chosen so as to focus on two important issues that condition public attitudes towards immigration. In relation to the first, there is a common positive view that channelling migration towards regional areas assists regional development and reduces pressure on metropolitan areas. The paper reviews regional concepts embodied in Australian immigration policy and the ways in which visa arrangements have implemented policies geared towards the regional dispersal of immigrants. Using official data, it discusses the demographic impacts of these policies and, in particular, considers the extent to which immigrants to regional Australia remain there over the longer term. In relation to unemployment, a common concern is that immigrants take jobs from local workers. The paper examines—using statistical regression methodology—the relationship between immigration and national aggregate unemployment in Australia. It evaluates the net consequences of immigration for both existing residents and new arrivals together. The paper concludes that, with good policy design in each case, regional location encouragement can be effective for immigrants and that immigrants need not take more jobs than they create. The analysis demonstrates that mixed-methods approaches to important social science issues can be productive, and helpful also for policy. Evidence, such as that presented in this paper, offers a powerful basis from which to counter negative public and political discourses surrounding immigration in contemporary Australia.