Lyman alpha line shapes from electron impact H2 dissociative processes in the Jovian auroral zone

Over the past two years several Lyman alpha line profile spectra of Jupiter were obtained using the International Ultraviolet Explorer (IUE) telescope. Several different regions of the planet were observed including the auroral zone, the low and mid latitudes, and the equatorial region which includes the Lyman alpha bulge region. These results have presented a very interesting picture of atomic hydrogen on Jupiter with explanations that range from ion outflow in the auroral zone to large thermospheric winds at low and mid latitudes. New data are needed to address the outstanding questions. Almost certainly, high resolution spectra from the Hubble Space Telescope will play a role in new observations. Better data also require better models, and better models require new laboratory data as inputs. The purpose of this program is two-fold: (1) to introduce a method by which new laboratory electron impact measurements of H2 dissociation can be used to calculate both the slow and fast H(S-2) and H(P-2) fragments in an H2 atmosphere; and (2) to determine the predicted Lyman alpha line shape that would result from electron impact production of these dissociative fragments in the Jovian auroral zone

Data documentation for the bare soil experiment at the University of Arkansas

The reflectivities of several controlled moisture test plots were investigated. These test plots were of a similar soil texture which was clay loam and were prepared to give a desired initial soil moisture and density profile. Measurements were conducted on the plots as the soil water redistributed for both long term and diurnal cycles. These measurements included reflectivity, gravimetric and volumetric soil moisture, soil moisture potential, and soil temperature

Computer methods for the reduction, correlation and analysis of space battery test data, phase 2, part 1 Final report, 1 Nov. - 31 Dec. 1967

Computer methods for reduction, correlation, and analysis of space battery test dat

Asylum, immigration restrictions and exploitation: hyper-precarity as a lens for understanding and tackling forced labour

The topic of forced labour is receiving a growing amount of political and policy attention across the globe. This paper makes two clear contributions to emerging debates. First, we focus on a group who are seldom explicitly considered in forced labour debates; forced migrants who interact with the asylum system. We build an argument of the production of susceptibility to forced labour through the UK’s asylum system, discussing the roles of compromised socio-legal status resulting from restrictive immigration policy, neoliberal labour market characteristics and migrants’ own trajectories. Second, we argue that forced labour needs to be understood as part of, and an outcome of, widespread normalised precarious work. Precarity is a concept used to describe the rise of insecure, casualised and sub-contracted work and is useful in explaining labour market processes that are conducive to the production of forced labour. Using precarity as a lens to examine forced labour encourages the recognition of extreme forms of exploitation as part of a wider picture of systematic exploitation of migrants in the labour market. To understand the reasons why forced migrants might be drawn into severe labour exploitation in the UK, we introduce the concept of hyper-precarity to explain how multidimensional insecurities contribute to forced labour experiences, particularly among forced migrants in the Global North. Viewing forced labour as connected to precarity also suggests that avenues and tools for tackling severe labour exploitation need to form part of the wider struggle for migrant labour rights

A study of image quality for radar image processing

Methods developed for image quality metrics are reviewed with focus on basic interpretation or recognition elements including: tone or color; shape; pattern; size; shadow; texture; site; association or context; and resolution. Seven metrics are believed to show promise as a way of characterizing the quality of an image: (1) the dynamic range of intensities in the displayed image; (2) the system signal-to-noise ratio; (3) the system spatial bandwidth or bandpass; (4) the system resolution or acutance; (5) the normalized-mean-square-error as a measure of geometric fidelity; (6) the perceptual mean square error; and (7) the radar threshold quality factor. Selective levels of degradation are being applied to simulated synthetic radar images to test the validity of these metrics