4,421 research outputs found

    CS, HC3N and CH3CCH multi-line analyses towards starburst galaxies. The evolution of cloud structures in the central regions of galaxies

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    We aim to study the properties of the dense molecular gas towards the inner few 100 pc of four nearby starburst galaxies dominated both by photo dissociation regions (M82) and large-scale shocks (NGC253, IC342 and Maffei2), and to relate the chemical and physical properties of the molecular clouds with the evolutionary stage of the nuclear starbursts. We have carried out multi-transitional observations and analyses of three dense gas molecular tracers, CS, HC3N and CH3CCH, using Boltzmann diagrams in order to determine the rotational temperatures and column densities of the dense gas, and using a Large Velocity Gradients model to calculate the H2 density structure in the molecular clouds. The CS and HC3N data indicate the presence of density gradients in the molecular clouds, showing similar excitation conditions, and suggesting that they arise from the same gas components. In M82, CH3CCH has the highest fractional abundance determined in a extragalactic source (10^-8). The density and the chemical gradients found in all galaxies can be explained in the framework of the starburst evolution. The young shock-dominatedstarburst galaxies, like presumably Maffei2, show a cloud structure with a rather uniform density and chemical composition which suggests low star formation activity. Molecular clouds in galaxies with starburst in an intermediate stage of evolution, such as NGC253 and IC342, show clouds with a large density contrast (two orders of magnitude) between the denser regions (cores) and the less dense regions (halos) of the molecular clouds and relatively constant chemical abundance. Finally, the galaxy with the most evolved starburst, M82, has clouds with a rather uniform density structure, large envelopes of atomic/molecular gas subjected to UV photodissociating radiation from young star clusters, and very different chemical abundances of HC3N and CH3CCH.Comment: 14 pages + 1 appendix of 2 pages; 7 figures. Accepted for publication in Astronomy and Astrophysic

    Joint vector sensor beam steering and passive time reversal for underwater acoustic communications

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    This paper investigates how to advantageously combine acoustic vector sensor field components for underwater communications. The joint vector sensor beam steering and passive time-reversal receiver structure is proposed and compared against beam steering and standard passive time-reversal separately. The beam steering method takes into account proper directions in order to benefit from highly correlated channels. On the other hand, passive time-reversal was weighted to avoid combinations of possible noisy channels. Performance of receiver structures are quantified using simulation and recorded data from a shallow-water field experiment. In this experiment, a four-element three-dimensional vector sensor array was tied to a drifting ship receiving coherent communication signals from a bottom-moored sound source. Analytical expressions and a numerical simulation based on the experimental acoustic scenario indicate a relationship between source-receiver ranges and the vector sensor channels correlation, providing an initial understanding of the suitability of each receiver structure. Then, using individual or combined vector sensors, such structures were tested with experimental data, where the range relationship hypothesis from the simulation was nearly confirmed. Error analysis shows that shorter ranges favor the beam steering, whereas channel diversity is mostly explored in longer ranges. Furthermore, the proposed joint method, designed for vector sensors, has achieved up to ten times less error than individual approaches, also showing the benefit of exploring beamforming and diversity together.info:eu-repo/semantics/publishedVersio

    Vector sensor steering-dependent performance in an underwater acoustic communication field experiment

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    This paper shows the performance resulting from combining vector sensor directional components in an underwater acoustic communication experiment. The objective is to relate performance with transmission direction and range. Receiver structures based on beamforming and passive time-reversal are tested in order to quantify and compare the steerability impact of vector sensor directional components. A shallow water experiment is carried out with a bottom fixed two-axis pressure-gradient vector sensor. A ship suspended acoustic source transmits coherent modulated communication signals at various ranges and from several directions. Results show that one vector sensor can provide an up to 10 times smaller error bit rate than a pressure sensor, favoring communication robustness without size penalty.info:eu-repo/semantics/publishedVersio

    Editorial: observing ocean sound

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    Ocean sound is emerging as a key health indicator of marine ecosystems, increasingly at risk of anthropogenic stressors (Duarte et al., 2021). The full potential of this Essential Ocean Variable (EOV) keeps developing (Tyack, 2018). The science and methods resulting from this EOV address an increasing number of domains, from geophysics to bio- and eco-acoustics. It also offers opportunities to respond to questions as varied as geohazard and marine life occurrence, and provides potentially cost-effective solutions to monitor biodiversity and ecosystems at large.info:eu-repo/semantics/publishedVersio

    Rectipilus stromatoides sp. nov. (Agaricales, Basidiomycota), a new cyphelloid fungus from the Brazilian Amazon

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    [EN] A new cyphelloid species, Rectipilus stromatoides is described from the Brazilian Amazon. It is characterized by the basidiomes disposed in a pinkish stromatic structure and microscopically by the presence of cystidiols and the size of the basidiospores. The species is compared with the similar species. A key to the accepted species of Rectipilus is provided

    Numerical tool for tsunami risk assessment in the southern coast of Dominican Republic

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    The southern coast of Dominican Republic is a very populated region, with several important cities including Santo Domingo, its capital. Important activities are rooted in the southern coast including tourism, industry, commercial ports, and, energy facilities, among others. According to historical reports, it has been impacted by big earthquakes accompanied by tsunamis as in Azua in 1751 and recently Pedernales in 2010, but their sources are not clearly identified. The aim of the present work is to develop a numerical tool to simulate the impact in the southern coast of the Dominican Republic of tsunamis generated in the Caribbean Sea. This tool, based on the Tsunami-HySEA model from EDANYA group (University of Malaga, Spain), could be used in the framework of a Tsunami Early Warning Systems due the very short computing times when only propagation is computed or it could be used to assess inundation impact, computing inundation with a initial 5 meter resolution. Numerical results corresponding to three theoretical sources are used to test the numerical tool.This research has been partially supported by the Spanish Government Research project SIMURISK (MTM2015-70490-C2-1-R), the Junta de Andalucía research project TESELA (P11-RNM7069), and Universidad de Málaga, Campus de Excelencia Internacional Andalucía Tech. The GPU and multi-GPU computations were performed at the Unit of Numerical Methods (UNM) of the Research Support Central Services (SCAI) of the University of Malaga

    Acoustic pressure and particle velocity for spatial filtering of bottom arrivals

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    This paper discusses the advantages of using a combination of acoustic pressure and particle velocitymotion for filtering bottom arrivals. A possible area of application is reflection seismology where, traditionally, the seismic image is extracted from the bottom-reflected broadband acoustic signals received on hydrophones. Since hydrophones are omnidirectional in nature, the received bottom returns are often contaminated by waterborne signals, sea surface reflections, and noise. A substantial part of the processing of the data is dedicated to filtering out these unwanted signals. Today, vector sensors allow us to measure both acoustic pressure and particle velocity motion in a single and compact sensor. The combination of pressure and particle velocity measured at a single location or particle velocity and particle velocity gradient at closely spaced locations allows for spatial beam steering to predetermined directions and filter out unwanted replicas from other directions. Moreover, this can be done at the sensor level, dramatically decreasing the offline processing. The spatial filtering capabilities of various pressure-pressure, particle velocity-particle velocity, and pressure-particle velocity combinations are analyzed in view of filtering the bottom arrivals. It is shown that the combination of pressure and vertical particle velocity and, particularly, the combination of vertical particle velocity and particle velocity gradient enhance bottom arrivals. Moreover, a simple steering procedure combining pressure and particle velocity components of a triaxial sensor allows us to determine the tridimensional structure of the acoustic field and the separation of the bottom reflections. The spatial selectivity of the various sensor combinations is shown with simulations and verified with experimental data acquired with 10 cm separated vector sensors in the 800-1250-Hz band, during the Makai 2005 sea trial, off Kauai Island, HI, USA.This work was supported by the European Union H2020 Research Program under WiMUST Project (Contract 645141).info:eu-repo/semantics/publishedVersio
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