831 research outputs found
The Metallicity and Reddening of Stars in the Inner Galactic Bulge
We present a preliminary analysis of K, J-K color magnitude diagrams (CMDs)
for 7 different positions on or close to the minor axis of the Milky Way at
Galactic latitudes between +0.1^\circ and -2.8^\circ. From the slopes of the
(linear) giant branches in these CMDs we derive a dependence of on
latitude for b between -0.8^\circ and -2.8^\circ of -0.085 \pm 0.033
dex/degree. When combined with the data from Tiede et al. we find for
-0.8^\circ \leq b \leq -10.3^\circ the slope in is -0.064 \pm 0.012
dex/degree. An extrapolation to the Galactic Center predicts [Fe/H] = +0.034
\pm 0.053 dex. We also derive average values for the extinction in the K band
(A_K) of between 2.15 and 0.27 for the inner bulge fields corresponding to
average values of E(J-K) of between 3.46 and 0.44. There is a well defined
linear relation between the average extinction for a field and the star-to-star
scatter in the extinction for the stars within each field. This result suggests
that the typical apparent angular scale size for an absorbing cloud is small
compared with the field size (90\arcsec on a side). Finally, from an
examination of the luminosity function of bright giants in each field we
conclude that the young component of the stellar population observed near the
Galactic center declines in density much more quickly than the overall bulge
population and is undetectable beyond 1^\circ from the Galactic center.Comment: accepted for publication in Astron. Jour. Compressed file contains
the text, 9 figures, and 6 tables prepared with AAS Latex macros v. 4.
Automated parameterisation for multi-scale image segmentation on multiple layers
AbstractWe introduce a new automated approach to parameterising multi-scale image segmentation of multiple layers, and we implemented it as a generic tool for the eCognition® software. This approach relies on the potential of the local variance (LV) to detect scale transitions in geospatial data. The tool detects the number of layers added to a project and segments them iteratively with a multiresolution segmentation algorithm in a bottom-up approach, where the scale factor in the segmentation, namely, the scale parameter (SP), increases with a constant increment. The average LV value of the objects in all of the layers is computed and serves as a condition for stopping the iterations: when a scale level records an LV value that is equal to or lower than the previous value, the iteration ends, and the objects segmented in the previous level are retained. Three orders of magnitude of SP lags produce a corresponding number of scale levels. Tests on very high resolution imagery provided satisfactory results for generic applicability. The tool has a significant potential for enabling objectivity and automation of GEOBIA analysis
Implications of New JHK Photometry and a Deep Infrared Luminosity Function for the Galactic Bulge
We present deep near-IR photometry for Galactic bulge stars in Baade's
Window, and another minor axis field at . We combine our data with previously published photometry
and construct a luminosity function over the range ,
deeper than any previously published. The slope of this luminosity function and
the magnitude of the tip of the first ascent giant branch are consistent with
theoretical values derived from isochrones with appropriate age and
metallicity.
We use the relationship between [Fe/H] and the giant branch slope derived
from near-IR observations of metal rich globular clusters by Kuchinski {\it et
al.} [AJ, 109, 1131 (1995)] to calculate the mean metallicity for several bulge
fields along the minor axis. For Baade's Window we derive , consistent with the recent estimate of
McWilliam \& Rich [ApJS, 91, 749 (1994)], but somewhat lower than previous
estimates based on CO and TiO absorption bands and the colors of M giants
by Frogel {\it et al.} [ApJ, 353, 494 (1990)]. Between and
we find a gradient in of dex/degree or dex/kpc for kpc, consistent with
other independent derivations. We derive a helium abundance for Baade's Window
with the and methods and find that implying
.
Next, we find that the bolometric corrections for bulge K giants () are in excellent agreement with empirical derivations based on observations
of globular cluster and local field stars. However, for the redder M giants weComment: Accepted by the Astronomical Journal. 43 pages, uuencoded compressed
PostScript, no figures or tables. A complete (text, figs and tables) preprint
is also available at
ftp://bessel.mps.ohio-state.edu/pub/terndrup/bwphot.tar.Z (compressed tar
file with PostScript
Novel parameters for evaluating the Spatial and Thematic accuracy of land cover maps.
Se proponen novedosas fórmulas para evaluar la certeza de la cartografí
Vimentin expression influences flow dependent VASP phosphorylation and regulates cell migration and proliferation
The cytoskeleton plays a central role for the integration of biochemical and biomechanical signals across the cell required for complex cellular functions. Recent studies indicate that the intermediate filament vimentin is necessary for endothelial cell morphogenesis e.g. in the context of leukocyte transmigration. Here, we present evidence, that the scaffold provided by vimentin is essential for VASP localization and PKG mediated VASP phosphorylation and thus controls endothelial cell migration and proliferation. Vimentin suppression using siRNA technique significantly decreased migration velocity by 50% (videomicroscopy), diminished transmigration activity by 42.5% (Boyden chamber) and reduced proliferation by 43% (BrdU-incorporation). In confocal microscopy Vimentin colocalized with VASP and PKG in endothelial cells. Vimentin suppression was accompanied with a translocation of VASP from focal contacts to the perinuclear region. VASP/Vimentin and PKG/Vimentin colocalization appeared to be essential for proper PKG mediated VASP phosphorylation because we detected a diminished expression of PKG and p(Ser239)-VASP in vimentin-suppressed cells, Furthermore, the induction of VASP phosphorylation in perfused arteries was markedly decreased in vimentin knockout mice compared to wildtypes. A link is proposed between vimentin, VASP phosphorylation and actin dynamics that delivers an explanation for the important role of vimentin in controlling endothelial cell morphogenesis
Antibody mimetic receptor proteins for label-free biosensors
The development of high sensitivity biosensors, for example for clinical diagnostics, requires the
identification of suitable receptor molecules which offer high stability, specificity and affinity, even when
embedded into solid-state biosensor transducers. Here, we present an electrochemical biosensor
employing small synthetic receptor proteins (Mw < 15 kDa) which emulate antibodies but with improved
stability, sensitivity and molecular recognition properties, in particular when immobilized on a solid
sensor surface. The synthetic receptor protein is a non-antibody-based protein scaffold with variable
peptide regions inserted to provide the specific binding, and was designed to bind anti-myc tag antibody
(Mw � 150 kDa), as a proof-of-principle exemplar. Both the scaffold and the selected receptor protein
were found to have high thermostability with melting temperatures of 101 �C and 85 �C, respectively.
Furthermore, the secondary structures of the receptor protein were found to be very similar to that of
the original native scaffold, despite the insertion of variable peptide loops that create the binding sites. A
label-free electrochemical sensor was fabricated by functionalising a microfabricated gold electrode
with the receptor protein. A change in the phase of the electrochemical impedance was observed when
the biosensor was subjected to anti-myc tag antibodies at concentrations between 6.7 pM and 6.7 nM.
These findings demonstrate that these non-antibody receptor proteins are excellent candidates for
recognition molecules in label-free biosensors
Bayesian Accretion Modeling: Axisymmetric Equatorial Emission in the Kerr Spacetime
The Event Horizon Telescope (EHT) has produced images of two supermassive
black holes, Messier~87* (M 87*) and Sagittarius~A* (Sgr A*). The EHT
collaboration used these images to indirectly constrain black hole parameters
by calibrating measurements of the sky-plane emission morphology to images of
general relativistic magnetohydrodynamic (GRMHD) simulations. Here, we develop
a model for directly constraining the black hole mass, spin, and inclination
through signatures of lensing, redshift, and frame dragging, while
simultaneously marginalizing over the unknown accretion and emission
properties. By assuming optically thin, axisymmetric, equatorial emission near
the black hole, our model gains orders of magnitude in speed over similar
approaches that require radiative transfer. Using 2017 EHT M 87* baseline
coverage, we use fits of the model to itself to show that the data are
insufficient to demonstrate existence of the photon ring. We then survey
time-averaged GRMHD simulations fitting EHT-like data, and find that our model
is best-suited to fitting magnetically arrested disks, which are the favored
class of simulations for both M 87* and Sgr A*. For these simulations, the
best-fit model parameters are within of the true mass and within
for inclination. With 2017 EHT coverage and 1\% fractional
uncertainty on amplitudes, spin is unconstrained. Accurate inference of spin
axis position angle depends strongly on spin and electron temperature. Our
results show the promise of directly constraining black hole spacetimes with
interferometric data, but they also show that nearly identical images permit
large differences in black hole properties, highlighting degeneracies between
the plasma properties, spacetime, and most crucially, the unknown emission
geometry when studying lensed accretion flow images at a single frequency.Comment: Accepted to ApJ, 16 pages, 10 figure
Study of damage control systems for space station
Damage control systems for detecting and locating overboard and onboard leak and damage modes on space station
Map of forest tree species for Poland based on Sentinel-2 data
Accurate information on forest tree species composition is vital for various scientific applications, as well as for forest inventory and management purposes. Country-wide, detailed species maps are a valuable resource for environmental management, conservation, research, and planning. Here, we performed the classification of 16 dominant tree species and genera in Poland using time series of Sentinel-2 imagery. To generate comprehensive spectral–temporal information, we created Sentinel-2 seasonal aggregations known as spectral–temporal metrics (STMs) within the Google Earth Engine (GEE). STMs were computed for short periods of 15–30 d during spring, summer, and autumn, covering multi-annual observations from 2018 to 2021. The Polish Forest Data Bank served as reference data, and, to obtain robust samples with pure stands only, the data were validated through automated and visual inspection based on very-high-resolution orthoimagery, resulting in 4500 polygons serving as training and test data. The forest mask was derived from available land cover datasets in GEE, namely the ESA WorldCover and Dynamic World dataset. Additionally, we incorporated various topographic and climatic variables from GEE to enhance classification accuracy. The random forest algorithm was employed for the classification process, and an area-adjusted accuracy assessment was conducted through cross-validation and test datasets. The results demonstrate that the country-wide forest stand species mapping achieved an accuracy exceeding 80 %; however, this varies greatly depending on species, region, and observation frequency. We provide freely accessible resources, including the forest tree species map and training and test data: https://doi.org/10.5281/zenodo.10180469 (Grabska-Szwagrzyk, 2023a).</p
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