2,729 research outputs found

    Thermal photon production in high-energy nuclear collisions

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    We use a boost-invariant one-dimensional (cylindrically symmetric) fluid dynamics code to calculate thermal photon production in the central rapidity region of S+Au and Pb+Pb collisions at SPS energy (s=20\sqrt{s}=20 GeV/nucleon). We assume that the hot matter is in thermal equilibrium throughout the expansion, but consider deviations from chemical equilibrium in the high temperature (deconfined) phase. We use equations of state with a first-order phase transition between a massless pion gas and quark gluon plasma, with transition temperatures in the range 150Tc200150 \leq T_c \leq 200 MeV.Comment: revised, now includes a_1 contribution. revtex, 10 pages plus 4 figures (uuencoded postscript

    Measuring by marking; the multimedia annotation tool ELAN

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    ELAN is a multimedia annotation tool developed by the Max Planck Institute for Psycholinguistics. It is applied in a variety of research areas. This paper presents a general overview of the tool and new developments as the calculation of inter-rater reliability, a commentary framework, semi-automatic segmentation and labeling and export to Theme

    Mortality of Vertebrates and Invertebrates on an Athens County, Ohio, Highway

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    Author Institution: Department of Zoological and Biomedical Sciences, Ohio UniversityAlthough previous road-kill surveys have tallied the number and kinds of vertebrates that were victims of vehicular traffic (mostly birds and mammals), none has recorded invertebrate mortality. A 14-month survey on foot of each side of a 1.6 km (1 mi) stretch of dual lane highway provided 188 vertebrate and 1,162 invertebrate victims. Finding rare and unusual species of invertebrates suggests that this technique be used as a supplementary faunal survey

    Advancement in the multimedia annotation tool ELAN

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    ELAN is a multimedia annotation tool that is being developed by the Max Planck Institute for Psycholinguistics. It is a tool that is applied in various types of multimodal interaction research. This poster presents the most recent achievements in what by now is a long history of continuous tool development and support. New developments are assessment of inter-rater reliability, a commentary framework and export to Theme format

    Bridge over changing waters–Citizen science for detecting the impacts of climate change on water

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    Biaxial Testing of Elastomers: Experimental Setup, Measurement and Experimental Optimisation of Specimen’s Shape

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    The present article deals with the setup and the control of a biaxial tension test device for characterising the material properties of elastomers. After a short introduction into the experimental setup a brief explanation of the benefits of a biaxial tension test is given. Furthermore the analysis of this test will be discussed. Therefore, the used optical field measurement by digital image correlation for analysing the strains is shortly introduced to the reader. Additionally, the basic concepts of the calculation of an inverse boundary problem for identifying the material’s parameters are imposed. However the main focus is laid on the experimental optimisation of the specimen’s geometry, whereupon a nearly hyperelastic, incompressible silicone is used to get the experimental results. The resulting geometry will be specially fitted to the requirements of elastomers. The tested geometries and the evaluation of the experiments will be explained as well as the resulting quality factor for the suitability of a specimen’s shape. After all, a short validation of the foregoing considerations will be presented

    How well can people observe the flow state of temporary streams?

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    Even though more than half of the global river network does not have continuous flow, temporary (i.e., non-perennial) streams are poorly represented in traditional monitoring networks. Therefore, new approaches are needed to monitor these streams. Citizen science provides an interesting opportunity as people, equipped with smartphones, can observe the flow state of temporary streams. Such observations can go beyond a simple classification of flow vs. no flow and include ecologically important states, such as standing water, isolated pools, or wet streambeds. However, the quality of citizen science data for temporary streams has so far not been thoroughly assessed. Therefore, we asked more than 1,200 people during 23 field days to visually determine the flow state of eight temporary streams based on six classes ranging from a dry streambed to flowing water. Participants could most clearly distinguish a flowing stream from a non-flowing stream. The overall agreement between participants was 66%; 83% of the selected flow states were within one class of the most frequently selected flow state. The agreement with the expert was lower (56% chose the same class, and 79% chose a state within one class). Inconsistencies between the selected flow state and answers to specific yes-no statements about the temporary stream were largest for the dry streambed and damp/wet streambed states. These discrepancies were partly caused by participants looking at different parts of the stream (i.e., participants considered the flow state for a location further upstream or downstream). To ensure that all participants determine the flow state comparably, we recommend clear definitions of the flow state classes, detailed information on the exact location for which the flow state needs to be determined, as well as more training

    Self-guided smartphone excursions in university teaching—experiences from exploring “Water in the City”

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    Like many other university teachers, we were faced with an unprecedented situation in spring 2020, when we had to cancel on-site teaching and excursions due to the Covid-19 pandemic. However, we were in the fortunate position that we had already started to develop a smartphone-based self-guided excursion on the topic of “Water in the City”. We accelerated this development and used it to replace the traditional group excursion in our Bachelor level introductory course in Hydrology and Climatology. The excursion of this course is visited by around 150 students each year. Because the student feedback was overall very positive, we used the self-guided excursion again in 2021 and plan to continue to use it in the coming years. In this paper, we describe the excursion, discuss the experiences of the students and ourselves, and present recommendations and ideas that could be useful for similar excursions at other universities

    The Calibration of the WISE W1 and W2 Tully-Fisher Relation

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    In order to explore local large-scale structures and velocity fields, accurate galaxy distance measures are needed. We now extend the well-tested recipe for calibrating the correlation between galaxy rotation rates and luminosities -- capable of providing such distance measures -- to the all-sky, space-based imaging data from the Wide-field Infrared Survey Explorer (WISE) W1 (3.4μ3.4\mum) and W2 (4.6μ4.6\mum) filters. We find a linewidth to absolute magnitude correlation (known as the Tully-Fisher Relation, TFR) of MW1b,i,k,a=20.359.56(logWmxi2.5)\mathcal{M}^{b,i,k,a}_{W1} = -20.35 - 9.56 (\log W^i_{mx} - 2.5) (0.54 magnitudes rms) and MW2b,i,k,a=19.769.74(logWmxi2.5)\mathcal{M}^{b,i,k,a}_{W2} = -19.76 - 9.74 (\log W^i_{mx} - 2.5) (0.56 magnitudes rms) from 310 galaxies in 13 clusters. We update the I-band TFR using a sample 9% larger than in Tully & Courtois (2012). We derive MIb,i,k=21.348.95(logWmxi2.5)\mathcal{M}^{b,i,k}_I = -21.34 - 8.95 (\log W^i_{mx} - 2.5) (0.46 magnitudes rms). The WISE TFRs show evidence of curvature. Quadratic fits give MW1b,i,k,a=20.488.36(logWmxi2.5)+3.60(logWmxi2.5)2\mathcal{M}^{b,i,k,a}_{W1} = -20.48 - 8.36 (\log W^i_{mx} - 2.5) + 3.60 (\log W^i_{mx} - 2.5)^2 (0.52 magnitudes rms) and MW2b,i,k,a=19.918.40(logWmxi2.5)+4.32(logWmxi2.5)2\mathcal{M}^{b,i,k,a}_{W2} = -19.91 - 8.40 (\log W^i_{mx} - 2.5) + 4.32 (\log W^i_{mx} - 2.5)^2 (0.55 magnitudes rms). We apply an I-band -- WISE color correction to lower the scatter and derive MCW1=20.229.12(logWmxi2.5)\mathcal{M}_{C_{W1}} = -20.22 - 9.12 (\log W^i_{mx} - 2.5) and MCW2=19.639.11(logWmxi2.5)\mathcal{M}_{C_{W2}} = -19.63 - 9.11 (\log W^i_{mx} - 2.5) (both 0.46 magnitudes rms). Using our three independent TFRs (W1 curved, W2 curved and I-band), we calibrate the UNION2 supernova Type Ia sample distance scale and derive H0=74.4±1.4H_0 = 74.4 \pm 1.4(stat) ± 2.4\pm\ 2.4(sys) kms1^{-1} Mpc1^{-1} with 4% total error.Comment: 22 page, 21 figures, accepted to ApJ, Table 1 data at http://spartan.srl.caltech.edu/~neill/tfwisecal/table1.tx

    Citizen science approaches for water quality measurements

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    Citizen science has become a widely used approach in water quality studies. Although there are literature reviews about citizen science and water quality assessments, an overview of the most commonly used methods and their strengths and weaknesses is still lacking. Therefore, we reviewed the scientific literature on citizen science for surface water quality assessments and examined the methods and strategies used by the 72 studies that fulfilled our search criteria. Special attention was given to the parameters monitored, the monitoring tools, and the spatial and temporal resolution of the data collected in these studies. In addition, we discuss the advantages and disadvantages of the different approaches used in water quality assessments and their potential to complement traditional hydrological monitoring and research
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