12,788 research outputs found
Addressing the challenges of modeling the scattering from bottlebrush polymers in solution
Smallâangle scattering measurements of complex macromolecules in solution are used to establish relationships between chemical structure and conformational properties. Interpretation of the scattering data requires an inverse approach where a model is chosen and the simulated scattering intensity from that model is iterated to match the experimental scattering intensity. This raises challenges in the case where the model is an imperfect approximation of the underlying structure, or where there are significant correlations between model parameters. We examine three bottlebrush polymers (consisting of polynorbornene backbone and polystyrene side chains) in a good solvent using a model commonly applied to this class of polymers: the flexible cylinder model. Applying a series of constrained MonteâCarlo Markov Chain analyses demonstrates the severity of the correlations between key parameters and the presence of multiple close minima in the goodness of fit space. We demonstrate that a shapeâagnostic model can fit the scattering with significantly reduced parameter correlations and less potential for complex, multimodal parameter spaces. We provide recommendations to improve the analysis of complex macromolecules in solution, highlighting the value of Bayesian methods. This approach provides richer information for understanding parameter sensitivity compared to methods which produce a single, best fit
Pentaquark implications for exotic mesons
If the exotic baryon is a correlated with , then there should exist an exotic meson, GeV with width MeV. The
may be broad members of {\bf 10} \10bar in such a
picture. Vector mesons in the 1.4 - 1.7GeV mass range are also compared with
this picture
Contributors to the May Issue/Notes
Notes by John M. Anderton, Robert F. Burns, B. M. Apker, Thomas F. Broden, James A. Cassidy, John E. Cosgrove, and Robert S. Olivier
Contributors to the May Issue/Notes
Notes by John M. Anderton, Robert F. Burns, B. M. Apker, Thomas F. Broden, James A. Cassidy, John E. Cosgrove, and Robert S. Olivier
Feather growth rate and mass in nearctic passerines with variablemigratory behavior and molt pattern
Bird species vary greatly in the duration of their annual complete feather molt. However, such variation is not well documented
in birds from many biogeographic areas, which restricts our understanding of the diversification of molt strategies. Recent research has revealed
that molt duration can be estimated in passerines from ptilochronology-based measurements of the growth rate of their tail feathers. We used
this approach to explore how molt duration varied in 98 Nearctic species that have different migratory strategies and molt patterns. As previously
documented for Palearctic species, migration was associated with a shortening of molt duration among species that molted during summer on
their breeding range. However, molts of winter-molting migratory species were as long as those of summer-molting sedentary species, which
suggests that winter molt also allows Nearctic migrants to avoid the temporal constraints experienced during summer. Our results also suggest
that migratory species that undergo a stopover molt within the Mexican monsoon region have the shortest molt duration among all Nearctic
passerines. Interestingly, and contrary to expectations from a potential tradeoff between molt duration and feather quality, observed variation
in feather growth rate was positively correlated with differences in tail feather mass, which may be caused by differences among groups in the
availability of resources for molting. We encourage the use of similar approaches to study the variation in molt duration in other geographic areas
where knowledge of the evolution of molt is limited.
Addressing the challenges of modeling the scattering from bottlebrush polymers in solution
Smallâangle scattering measurements of complex macromolecules in solution are used to establish relationships between chemical structure and conformational properties. Interpretation of the scattering data requires an inverse approach where a model is chosen and the simulated scattering intensity from that model is iterated to match the experimental scattering intensity. This raises challenges in the case where the model is an imperfect approximation of the underlying structure, or where there are significant correlations between model parameters. We examine three bottlebrush polymers (consisting of polynorbornene backbone and polystyrene side chains) in a good solvent using a model commonly applied to this class of polymers: the flexible cylinder model. Applying a series of constrained MonteâCarlo Markov Chain analyses demonstrates the severity of the correlations between key parameters and the presence of multiple close minima in the goodness of fit space. We demonstrate that a shapeâagnostic model can fit the scattering with significantly reduced parameter correlations and less potential for complex, multimodal parameter spaces. We provide recommendations to improve the analysis of complex macromolecules in solution, highlighting the value of Bayesian methods. This approach provides richer information for understanding parameter sensitivity compared to methods which produce a single, best fit
Spectroscopic diagnostic for the mineralogy of large dust grains
We examine the thermal infrared spectra of large dust grains of different
chemical composition and mineralogy. Strong resonances in the optical
properties result in detectable spectral structure even when the grain is much
larger than the wavelength at which it radiates. We apply this to the thermal
infrared spectra of compact amorphous and crystalline silicates. The weak
resonances of amorphous silicates at 9.7 and 18 micron virtually disappear for
grains larger than about 10 micron. In contrast, the strong resonances of
crystalline silicates produce emission dips in the infrared spectra of large
grains; these emission dips are shifted in wavelength compared to the emission
peaks commonly seen in small crystalline silicate grains. We discuss the effect
of a fluffy or compact grain structure on the infrared emission spectra of
large grains, and apply our theory to the dust shell surrounding Vega.Comment: Submitted to A&A Letter
Spectroscopic Observations of Convective Patterns in the Atmospheres of Metal-Poor Stars
Convective line asymmetries in the optical spectrum of two metal-poor stars,
Gmb1830 and HD140283, are compared to those observed for solar metallicity
stars. The line bisectors of the most metal-poor star, the subgiant HD140283,
show a significantly larger velocity span that the expectations for a
solar-metallicity star of the same spectral type and luminosity class. The
enhanced line asymmetries are interpreted as the signature of the lower metal
content, and therefore opacity, in the convective photospheric patterns. These
findings point out the importance of three-dimensional convective velocity
fields in the interpretation of the observed line asymmetries in metal-poor
stars, and in particular, urge for caution when deriving isotopic ratios from
observed line shapes and shifts using one-dimensional model atmospheres.
The mean line bisector of the photospheric atomic lines is compared with
those measured for the strong Mg I b1 and b2 features. The upper part of the
bisectors are similar, and assuming they overlap, the bottom end of the
stronger lines, which are formed higher in the atmosphere, goes much further to
the red. This is in agreement with the expected decreasing of the convective
blue-shifts in upper atmospheric layers, and compatible with the high velocity
redshifts observed in the chromosphere, transition region, and corona of
late-type stars.Comment: 27 pages, LaTeX; 10 Figures (14 PostScript files); to be published in
The Astrophysical Journa
- âŠ