A new concept of acousto-optic tunable filter-based near-infrared hyperspectral imager for planetary surface exploration.

In the past two decades, near-infrared (NIR) hyperspectral imaging instruments have revolutionized our conception of planetary surfaces in terms of evolution, geology, mineralogy, and alteration processes. The cornerstone of this remote analysis technique is the synergy between imagery, giving the geomorphological context of the observations, and NIR spectroscopy whose spectral range is sensitive to the main absorption features of most of the minerals present on planetary surfaces. The development of a generation of space instrument based on Acousto-Optic Tunable Filters (AOTFs) increases the capacity of these spectrometers to be set up in a variety of space probes. The ExoCam concept, developed at Institut d'Astrophysique Spatiale and profiting from the lab's previous experience (MicrOmega onboard Phobos-Grunt, Hayabusa 2 and ExoMars), thus, proposes for the first time to do hyperspectral imagery through a wide aperture AOTF (15 × 15 mm2) in the 0.95-3.6 µm spectral range. The characterization of this instrumental concept, led on a representative breadboard built for this purpose, showed that the acousto-optic diffraction preserves the image quality up to the diffraction/resolution limit over the whole field of view. The spectral resolution (from 2 to 25 nm over the spectral range) and accuracy of the instrument are also consistent with the identification of planetary surface minerals. This paper describes the ExoCam concept and objectives, the setup of an optical breadboard representative of a space instrument based on this concept, and the results of performance characterizations realized on the breadboard.

Pre-launch radiometric calibration of the infrared spectrometer onboard SuperCam for the Mars2020 rover.

Near-infrared spectroscopy has become a well-known remote sensing technique for the surface characterization of planetary objects. Among them, Mars was observed in the past by three imaging spectrometers from orbit. The Infrared Spectrometer/SuperCam instrument performs near-infrared spectroscopy from the martian surface for the first time, with a 1.15 mrad field of view, in the 1.3 µm-2.6 µm range, enabling the identification of a variety of mafic and altered minerals. Before integration aboard the rover, the spectrometer underwent a calibration campaign. Here, we report the radiometric and linearity responses of the instrument, including the optical and thermal setups used to perform them over its nominal range of operations, in terms of instrument detector temperatures and spectral range. These responses were constrained by accuracy requirements (20% in absolute radiometry, 1% in relative). The derived instrument transfer function fits within these requirements (<15% in absolute and <0.8% in relative) and shall be used to calculate the expected instrumental signal-to-noise ratio for typical observation scenarios of mineral mixtures expected to be found in the Jezero crater, and ultimately to retrieve the spectral properties of the regions of interest observed by the rover.

Two modelling approaches to water-quality simulation in a flooded iron-ore mine (Saizerais, Lorraine, France): a semi-distributed chemical reactor model and a physically based distributed reactive transport pipe network model.

The flooding of abandoned mines in the Lorraine Iron Basin (LIB) over the past 25 years has degraded the quality of the groundwater tapped for drinking water. High concentrations of dissolved sulphate have made the water unsuitable for human consumption. This problematic issue has led to the development of numerical tools to support water-resource management in mining contexts. Here we examine two modelling approaches using different numerical tools that we tested on the Saizerais flooded iron-ore mine (Lorraine, France). A first approach considers the Saizerais Mine as a network of two chemical reactors (NCR). The second approach is based on a physically distributed pipe network model (PNM) built with EPANET 2 software. This approach considers the mine as a network of pipes defined by their geometric and chemical parameters. Each reactor in the NCR model includes a detailed chemical model built to simulate quality evolution in the flooded mine water. However, in order to obtain a robust PNM, we simplified the detailed chemical model into a specific sulphate dissolution-precipitation model that is included as sulphate source/sink in both a NCR model and a pipe network model. Both the NCR model and the PNM, based on different numerical techniques, give good post-calibration agreement between the simulated and measured sulphate concentrations in the drinking-water well and overflow drift. The NCR model incorporating the detailed chemical model is useful when a detailed chemical behaviour at the overflow is needed. The PNM incorporating the simplified sulphate dissolution-precipitation model provides better information of the physics controlling the effect of flow and low flow zones, and the time of solid sulphate removal whereas the NCR model will underestimate clean-up time due to the complete mixing assumption. In conclusion, the detailed NCR model will give a first assessment of chemical processes at overflow, and in a second time, the PNM model will provide more detailed information on flow and chemical behaviour (dissolved sulphate concentrations, remaining mass of solid sulphate) in the network. Nevertheless, both modelling methods require hydrological and chemical parameters (recharge flow rate, outflows, volume of mine voids, mass of solids, kinetic constants of the dissolution-precipitation reactions), which are commonly not available for a mine and therefore call for calibration data.

Failure to have prescriptions filled among Black elderly.

Despite extensive research on drug consumption and compliance with drug regimens within the geriatric population, little attention has been given to the failure to have prescriptions filled among elderly in general and Black elderly in particular. The prevalence and correlates of patients' failure to have prescriptions filled were investigated for a sample of 571 Black elderly. In terms of prevalence, 12.8% of this sample asserted that they had received a prescription from a physician and not had it filled during the 6 months period prior to interview. Multivariate logistic regression was employed to detect the significant predictors of this type of noncompliance. According to our data, failure to have prescriptions filled was significantly greater among Black elderly with higher levels of anxiety, those with lower levels of internal health locus of control, those who did not have prescription medication coverage through Medicaid, those who were currently using prescription medications, those who consumed greater numbers of over-the-counter medications, and those who reported more financial problems. Implications of these findings are discussed.

Age and the availability of inferences.

Age differences in inference availability and memory were investigated using a speeded decision procedure and cued recall. Younger and older adults read passages that directly suggested either a target inference or an incorrect, competing inference before finally supporting the target inference. At critical points in a passage, subjects judged whether each of a series of words, including either the target or competing inference, was consistent with their current interpretation. Although both groups agreed on the final target inference, younger and older adults showed different patterns of inference availability and revision. Older adults showed broader and more sustained activation of alternative interpretations and also showed lower levels of inference recall. These findings are interpretable by a framework that proposes age-related breakdowns in inhibitory mechanisms that control the contents of working memory (Hasher & Zacks, 1988).

Encoding and memory of explicit and implicit information.

The usefulness of a general capacity model for predicting age differences in memory for critical information in text was assessed. Passages that either explicitly stated or implied, in either a predictable or unpredictable manner, a fact central to understanding were read to study participants. No age differences were obtained in the recall of explicit central facts, but the younger adults outperformed the older adults when these facts had to be inferred. A revised capacity model, which implicates encoding processes in the breakdown of inference formation, is outlined to account for these and other data.