57 research outputs found

    Characterising the orbit and circumstellar environment of the high-mass binary MWC 166 A

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    Context: Stellar evolution models are highly dependent on accurate mass estimates, especially for high-mass stars in the early stages of evolution. The most direct method for obtaining model-independent masses is derivation from the orbit of close binaries. Aims: To derive the first astrometric+RV orbit solution for the single-lined spectroscopic binary MWC 166 A, based on CHARA and VLTI near-infrared interferometry over multiple epochs and ~100 archival radial velocity measurements, and to derive fundamental stellar parameters from this orbit. We also sought to model circumstellar activity in the system from K-band spectral lines. Methods: We geometrically modelled the dust continuum to derive astrometry at 13 epochs and constrain individual stellar parameters. We used the continuum models as a base to examine differential phases, visibilities and closure phases over the Br-γ\gamma and He-I emission lines. Results: Our orbit solution suggests a period of 367.7±0.1367.7\pm0.1 d, twice as long as found with previous RV orbit fits, subsequently constraining the component masses to M1=12.2±2.2MM_1=12.2\pm2.2 M_\odot and M2=4.9±0.5MM_2=4.9\pm0.5 M_\odot. The line-emitting gas was found to be localised around the primary and is spatially resolved on scales of ~11 stellar radii, with the spatial displacement between the line wings consistent with a rotating disc. Conclusions: The large radius and stable orientation of the line emission are inconsistent with magnetospheric or boundary-layer accretion, but indicate an ionised inner gas disk around MWC 166 Aa. We observe line variability that could be explained either with generic line variability in a Herbig star disc or V/R variations in a decretion disc. We also constrained the age of the system to ~(7±2)×105(7\pm2)\times10^5 yr, consistent with the system being comprised of a main-sequence primary and a secondary still contracting towards the main sequence.Comment: 24 pages, 19 figures, 7 tables, 1 appendix. Accepted in A&

    Refining the Stellar Parameters of τ\tau Ceti: a Pole-on Solar Analog

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    To accurately characterize the planets a star may be hosting, stellar parameters must first be well-determined. τ\tau Ceti is a nearby solar analog and often a target for exoplanet searches. Uncertainties in the observed rotational velocities have made constraining τ\tau Ceti's inclination difficult. For planet candidates from radial velocity (RV) observations, this leads to substantial uncertainties in the planetary masses, as only the minimum mass (msinim \sin i) can be constrained with RV. In this paper, we used new long-baseline optical interferometric data from the CHARA Array with the MIRC-X beam combiner and extreme precision spectroscopic data from the Lowell Discovery Telescope with EXPRES to improve constraints on the stellar parameters of τ\tau Ceti. Additional archival data were obtained from a Tennessee State University Automatic Photometric Telescope and the Mount Wilson Observatory HK project. These new and archival data sets led to improved stellar parameter determinations, including a limb-darkened angular diameter of 2.019±0.0122.019 \pm 0.012 mas and rotation period of 46±446 \pm 4 days. By combining parameters from our data sets, we obtained an estimate for the stellar inclination of 7±77\pm7^\circ. This nearly-pole-on orientation has implications for the previously-reported exoplanets. An analysis of the system dynamics suggests that the planetary architecture described by Feng et al. (2017) may not retain long-term stability for low orbital inclinations. Additionally, the inclination of τ\tau Ceti reveals a misalignment between the inclinations of the stellar rotation axis and the previously-measured debris disk rotation axis (idisk=35±10i_\mathrm{disk} = 35 \pm 10^\circ).Comment: 14 pages, 3 figures, 4 tables, 1 appendix, accepted for publication to A

    Colloquium: Mechanical formalisms for tissue dynamics

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    The understanding of morphogenesis in living organisms has been renewed by tremendous progressin experimental techniques that provide access to cell-scale, quantitative information both on theshapes of cells within tissues and on the genes being expressed. This information suggests that ourunderstanding of the respective contributions of gene expression and mechanics, and of their crucialentanglement, will soon leap forward. Biomechanics increasingly benefits from models, which assistthe design and interpretation of experiments, point out the main ingredients and assumptions, andultimately lead to predictions. The newly accessible local information thus calls for a reflectionon how to select suitable classes of mechanical models. We review both mechanical ingredientssuggested by the current knowledge of tissue behaviour, and modelling methods that can helpgenerate a rheological diagram or a constitutive equation. We distinguish cell scale ("intra-cell")and tissue scale ("inter-cell") contributions. We recall the mathematical framework developpedfor continuum materials and explain how to transform a constitutive equation into a set of partialdifferential equations amenable to numerical resolution. We show that when plastic behaviour isrelevant, the dissipation function formalism appears appropriate to generate constitutive equations;its variational nature facilitates numerical implementation, and we discuss adaptations needed in thecase of large deformations. The present article gathers theoretical methods that can readily enhancethe significance of the data to be extracted from recent or future high throughput biomechanicalexperiments.Comment: 33 pages, 20 figures. This version (26 Sept. 2015) contains a few corrections to the published version, all in Appendix D.2 devoted to large deformation

    Keeping It Local: Dispersal Limitations of Coral Larvae to the High Latitude Coral Reefs of the Houtman Abrolhos Islands.

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    In 2011 the first recorded bleaching event for the high latitude Houtman Abrolhos Islands (HAI) coral communities was documented. This bleaching event highlighted the question of whether a supply of 'heat tolerant' coral recruits from the tropical north would be sufficient to provide a level of resistance for these reefs to future warming events. Using Lagrangian modelling we showed that due to its regional isolation, large-scale larval input from potential tropical northern source populations to the HAI is unlikely, despite the southward flowing Leeuwin current. Successful recruitment to artificial substrates was recorded following the bleaching event. However, this was negligible (0.4 ± 0.1 recruits per tile) compared to 2013 post impact recruitment (128.8 ± 15.8 recruits per tile). Our data therefore provides preliminary evidence suggesting that the connectivity of the HAI with coral communities in the north is limited, and population maintenance and recovery is likely driven primarily by self-recruitment. Given the low thermal tolerance of the HAI coral communities, the dominance of Acropora, and the apparent reliance on self-recruitment, an increased frequency of thermally anomalous conditions at the HAI (such as experienced in 2011) has the potential to reduce the long-term stability of the HAI coral populations and species that depend upon them

    a) NOAA Sea surface temperature data from 2010–2013. Note 2010 represents a typical temperature profile for HAI, unlike the anomalous temperatures seen in 2011. b) Average number of coral recruits tile<sup>-1</sup> (± Standard Error) at the HAI following the autumn mass spawning from 2011–2013.

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    <p>a) NOAA Sea surface temperature data from 2010–2013. Note 2010 represents a typical temperature profile for HAI, unlike the anomalous temperatures seen in 2011. b) Average number of coral recruits tile<sup>-1</sup> (± Standard Error) at the HAI following the autumn mass spawning from 2011–2013.</p

    a) Location of potential northern seeding reefs and the HAI used in the dispersal modelling b) Simulated larval arrivals from the potential northern seeding reefs to the HAI in 2010 and in c) 2011.

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    <p>a) Location of potential northern seeding reefs and the HAI used in the dispersal modelling b) Simulated larval arrivals from the potential northern seeding reefs to the HAI in 2010 and in c) 2011.</p
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