Reflexion M\"ossbauer analysis of the in situ oxidation products hydroxycarbonate green rust

The purpose of this study is to determine the nature of the oxidation products of FeII-III hydroxycarbonate FeII4FeIII2(OH)12CO3~3H2O (green rust GR(CO32-)) by using the miniaturised M\"ossbauer spectrometer MIMOS II. Two M\"ossbauer measurements methods are used: method (i) with green rust pastes coated with glycerol and spread into Plexiglas sample holders, and method (ii) with green rust pastes in the same sample holders but introduced into a gas-tight cell with a beryllium window under a continuous nitrogen flow. Method (ii) allows us to follow the continuous deprotonation of GR(CO32-) into the fully ferric deprotonated form FeIII6O4(OH)8CO3~3H2O by adding the correct amount of H2O2, without any further oxidation or degradation of the samples

An analysis method for time ordered data processing of Dark Matter experiments

The analysis of the time ordered data of Dark Matter experiments is becoming more and more challenging with the increase of sensitivity in the ongoing and forthcoming projects. Combined with the well-known level of background events, this leads to a rather high level of pile-up in the data. Ionization, scintillation as well as bolometric signals present common features in their acquisition timeline: low frequency baselines, random gaussian noise, parasitic noise and signal characterized by well-defined peaks. In particular, in the case of long-lasting signals such as bolometric ones, the pile-up of events may lead to an inaccurate reconstruction of the physical signal (misidentification as well as fake events). We present a general method to detect and extract signals in noisy data with a high pile-up rate and qe show that events from few keV to hundreds of keV can be reconstructed in time ordered data presenting a high pile-up rate. This method is based on an iterative detection and fitting procedure combined with prior wavelet-based denoising of the data and baseline subtraction. {We have tested this method on simulated data of the MACHe3 prototype experiment and shown that the iterative fitting procedure allows us to recover the lowest energy events, of the order of a few keV, in the presence of background signals from a few to hundreds of keV. Finally we applied this method to the recent MACHe3 data to successfully measure the spectrum of conversion electrons from Co57 source and also the spectrum of the background cosmic muons

MACHe3, a prototype for non-baryonic dark matter search: KeV event detection and multicell correlation

Superfluid He3 at ultra-low temperatures (100 microKelvins) is a sensitive medium for the bolometric detection of particles. MACHe3 (MAtrix of Cells of Helium 3) is a project for non-baryonic dark matter search using He3 as a sensitive medium. Simulations made on a high granularity detector show a very good rejection to background signals. A multicell prototype including 3 bolometers has been developed to allow correlations between the cells for background event discrimination. One of the cells contains a low activity Co57 source providing conversion electrons of 7.3 and 13.6 keV to confirm the detection of low energy events. First results on the multicell prototype are presented. A detection threshold of 1 keV has been achieved. The detection of low energy conversion electrons coming from the Co57 source is highlighted as well as the cosmic muon spectrum measurement. The possibility to reject background events by using the correlation among the cells is demonstrated from the simultaneous detection of muons in different cells

PRODUÇÃO DE MADEIRA DE EUCALIPTO DE CURTA ROTAÇÃO EM POVOAMENTOS ADENSADOS PARA ENERGIA

Moulin, Jordão Cabral. Produção de madeira de eucalipto de curta rotação em povoamentos adensados para energia. 2013. Dissertação (Mestrado em Ciências Florestais) Universidade Federal do Espírito Santo, Jerônimo Monteiro - ES, Orientadora: Profª. Drª. Marina Donária Chaves Arantes. Coorientadores: Profa. Dra. Graziela Baptista Vidaurre Dambroz e Prof. Dr. José Tarcísio da Silva Oliveira. RESUMO Avaliar a influência do espaçamento, irrigação e idade, na produção de madeira, na densidade básica, nas características anatômicas e químicas da madeira de dois clones do híbrido Eucalyptus grandis x Eucalyptus urophylla com idades de seis e 12 meses provenientes de duas regiões, uma irrigada e outra não irrigada, com espaçamentos de 3x0,5; 1,5x2, 3x1; 3x2 e 3x3 m. Foi possível verificar a influência do espaçamento, irrigação e idade nas propriedades da madeira nos clones estudados. O maior volume de madeira foi obtido no clone B com 12 meses na região irrigada e nos espaçamentos adensados. Os maiores valores de densidade foram encontrados no clone A nos espaçamentos amplos, a menor frequência de vaso e os maiores comprimentos de fibra ocorreram nos clones com 12 meses nos menores espaçamentos na região irrigada. Maior espessura da parede foi encontrada no clone A com seis meses na região não irrigada. Maior teor de lignina foi obtido no clone B com 12 meses na região irrigada nos maiores espaçamentos, e o teor de cinzas foi menor no clone A com 12 meses na região não irrigada nos espaçamentos mais amplos. Palavras chave: Biomassa, irrigação, idade de corte, espaçamento

Remembering and knowing: using another's subjective report to make inferences about memory strength and subjective experience

The Remember-Know paradigm is commonly used to examine experiential states during recognition. In this paradigm, whether a Know response is defined as a high-confidence state of certainty or a low-confidence state based on familiarity varies across researchers, and differences in definitions and instructions have been shown to influence participants' responding. Using a novel approach, in three internet-based questionnaires participants were placed in the role of 'memory expert' and classified others' justifications of recognition decisions. Results demonstrated that participants reliably differentiated between others' memory experiences--both in terms of confidence and other inherent differences in the justifications. Furthermore, under certain conditions, manipulations of confidence were found to shift how items were assigned to subjective experience categories (Remember, Know, Familiar, and Guess). Findings are discussed in relation to the relationship between subjective experience and confidence, and the separation of Know and Familiar response categories within the Remember-Know paradigm

Desempenho agro-econômico do feijoeiro comum semeado em duas época da safrinha no médio-norte matogrossense.

Esse trabalho objetivou determinar e analisar os indicadores agro-econômicos de nove cultivares do feijoeiro comum, semeadas na safrinha do ano agrícola de 2010-11 em duas épocas distintas (15/02/2011 e 25/02/2011) dentro do município de Sinop (MT).CONAFE

Desempenho agro-econômico do consórcio entre feijão-comum e Brachiaria ruziziensis implantado simultâneamente na safrinha do médio-norte matogrossense.

Esse trabalho objetivou analisar o desempenho agro-econômico de oito consórcios entre feijão-comum e Brachiaria ruziziensis implantados simultaneamente na safrinha do médio-norte matogrossense, submetidos ou não, á dose reduzida de graminicida.CONAFE

Description and validation of an AOT product over land at the 0.6 μm channel of the SEVIRI sensor onboard MSG

The Spinning Enhanced Visible and InfraRed Imager (SEVIRI) aboard Meteosat Second Generation (MSG) launched in 2003 by EUMETSAT is dedicated to the Nowcasting applications and Numerical Weather Prediction and to the provision of observations for climate monitoring and research. We use the data in visible and near infrared (NIR) channels to derive the aerosol optical thickness (AOT) over land. The algorithm is based on the assumption that the top of the atmosphere (TOA) reflectance increases with the aerosol load. This is a reasonable assumption except in case of absorbing aerosols above bright surfaces. We assume that the minimum in a 14-days time series of the TOA reflectance is, once corrected from gaseous scattering and absorption, representative of the surface reflectance. The AOT and the aerosol model (a set of 5 models is used), are retrieved by matching the simulated TOA reflectance with the TOA reflectances measured by SEVIRI in its visible and NIR spectral bands. <br><br> The high temporal resolution of the data acquisition by SEVIRI allows to retrieve the AOT every 15 min with a spatial resolution of 3 km at sub-satellite point, over the entire SEVIRI disk covering Europe, Africa and part of South America. The resulting AOT, a level 2 product at the native temporal and spatial SEVIRI resolutions, is presented and evaluated in this paper. <br><br> The AOT has been validated using ground based measurements from AErosol RObotic NETwork (AERONET), a sun-photometer network, focusing over Europe for 3 months in 2006. The SEVIRI estimates correlate well with the AERONET measurements, <i>r</i> = 0.64, with a slight overestimate, bias = −0.017. The sources of errors are mainly the cloud contamination and the bad estimation of the surface reflectance. The temporal evolutions exhibited by both datasets show very good agreement which allows to conclude that the AOT Level 2 product from SEVIRI can be used to quantify the aerosol content and to monitor its daily evolution with a high temporal frequency. The comparison with daily maps of Moderate Resolution Imaging Spectroradiometer (MODIS) AOT level 3 product shows qualitative good agreement in the retrieved geographic patterns of AOT. <br><br> Given the high spatial and temporal resolutions obtained with this approach, our results have clear potential for applications ranging from air quality monitoring to climate studies. This paper presents a first evaluation and validation of the derived AOT over Europe in order to document the overall quality of a product that will be made publicly available to the users of the aforementioned research communities

Cooling Tests of the NectarCAM camera for the Cherenkov Telescope Array

The NectarCAM is a camera proposed for the medium-sized telescopes in the framework of the Cherenkov Telescope Array (CTA), the next-generation observatory for very-high-energy gamma-ray astronomy. The cameras are designed to operate in an open environment and their mechanics must provide protection for all their components under the conditions defined for the CTA observatory. In order to operate in a stable environment and ensure the best physics performance, each NectarCAM will be enclosed in a slightly overpressurized, nearly air-tight, camera body, to prevent dust and water from entering. The total power dissipation will be ~7.7 kW for a 1855-pixel camera. The largest fraction is dissipated by the readout electronics in the modules. We present the design and implementation of the cooling system together with the test bench results obtained on the NectarCAM thermal demonstrator.Comment: In Proceedings of the 34th International Cosmic Ray Conference (ICRC2015), The Hague, The Netherlands. All CTA contributions at arXiv:1508.0589