3,868 research outputs found
Environmental effects on galaxy evolution. II: quantifying the tidal features in NIR-images of the cluster Abell 85
This work is part of a series of papers devoted to investigate the evolution
of cluster galaxies during their infall. In the present article we imaged in
NIR a selected sample of galaxies through- out the massive cluster Abell 85 (z
= 0.055). We obtained (JHK) photometry for 68 objects, reaching 1 mag/arcsec^2
deeper than 2MASS. We use these images to unveil asymmetries in the outskirts
of a sample of bright galaxies and develop a new asymmetry index, alpha_An,
which allows to quantify the degree of disruption by the relative area occupied
by the tidal features on the plane of the sky. We measure the asymmetries for a
subsample of 41 large area objects finding clear asymmetries in ten galaxies,
most of them being in groups and pairs projected at different clustercentric
distances, some of them located beyond R500 . Combining information on the
Hi-gas content of blue galaxies and the distribution of sub-structures across
Abell 85, with the present NIR asymmetry analysis, we obtain a very powerful
tool to confirm that tidal mechanisms are indeed present and are currently
affecting a fraction of galaxies in Abell 85. However, when comparing our deep
NIR images with UV-blue images of two very disrupted (jellyfish) galaxies in
this cluster, we discard the presence of tidal 1 interactions down to our
detection limit. Our results suggest that ram-pressure stripping is at the
origin of such spectacular disruptions. We conclude that across a complex
cluster like Abell 85, environment mechanisms, both gravitational and
hydrodynamical, are playing an active role in driving galaxy evolution.Comment: 30 pages, 13 figures, Accepted for Publication in A
Structural and Optical Properties of Ge 1-x Sn x Alloys Grown on GaAs (001) by R. F. Magnetron Sputtering
The VVV Templates Project. Towards an Automated Classification of VVV Light-Curves. I. Building a database of stellar variability in the near-infrared
Context. The Vista Variables in the V\'ia L\'actea (VVV) ESO Public Survey is
a variability survey of the Milky Way bulge and an adjacent section of the disk
carried out from 2010 on ESO Visible and Infrared Survey Telescope for
Astronomy (VISTA). VVV will eventually deliver a deep near-IR atlas with
photometry and positions in five passbands (ZYJHK_S) and a catalogue of 1-10
million variable point sources - mostly unknown - which require
classifications. Aims. The main goal of the VVV Templates Project, that we
introduce in this work, is to develop and test the machine-learning algorithms
for the automated classification of the VVV light-curves. As VVV is the first
massive, multi-epoch survey of stellar variability in the near-infrared, the
template light-curves that are required for training the classification
algorithms are not available. In the first paper of the series we describe the
construction of this comprehensive database of infrared stellar variability.
Methods. First we performed a systematic search in the literature and public
data archives, second, we coordinated a worldwide observational campaign, and
third we exploited the VVV variability database itself on (optically)
well-known stars to gather high-quality infrared light-curves of several
hundreds of variable stars. Results. We have now collected a significant (and
still increasing) number of infrared template light-curves. This database will
be used as a training-set for the machine-learning algorithms that will
automatically classify the light-curves produced by VVV. The results of such an
automated classification will be covered in forthcoming papers of the series.Comment: 12 pages, 16 figures, 3 tables, accepted for publication in A&A. Most
of the data are now accessible through http://www.vvvtemplates.org
Black pigmented bacteria in the wall of the periodontal pocket at the beginning and end of the periodontal therapy
Objetivo: Determinar la presencia de bacterias negro pigmentadas (BNP) en bolsas periodontales, antes y después de un tratamiento periodontal. Materiales y método: El tipo de estudio es descriptivo. Tiene una muestra de 10 áreas, de 10 pacientes, en la que se identificaron bolsas periodontales. Se tomaron muestras en conos de papel, que luego fueron cultivados en el medio de agar sangre con hemina y vitamina K, incubados. Posteriormente se identificó y contabilizó las co-lonias negro pigmentadas, antes y después del tratamiento periodontal. Resultados: De las muestras examinadas antes del tratamiento, se pudo recuperar BNP en un 60 % de muestras cultivadas, con un rango de presencia de 16 a 312 UFC. De las muestras obtenidas después del tratamiento periodontal, se pudo recuperar en un 50 % de ellas, con un rango de presencia de 5 a 70 UFC. El análisis estadístico demuestra la diferencia significativa de las unidades formadoras de colonias, antes y después de la terapia periodontal. Conclusiones: Se demuestra la presencia de BNP en bolsas periodontales y que estas redu-cen su número, posterior a la terapia periodontal.Objective: Determine the presence of black pigmented bacteria (BNP) in periodontal pockets before and after periodontal treatment. Materials and method: The type of study is descriptive which has a sample of 10 areas, ten patients in which periodontal pockets were identified, samples were taken with paper cones, which were then cultured in blood agar medium with hemin and vitamin K, incubated. Subsequently he identified and counted the black pigmented colonies before and after periodontal treatment. Results: Of the first samples examined before treatment could be recovered BNP 60 % of cultured samples with a range of presence of 16-312 CFU and samples obtained after periodontal treat-ment could be recovered in 50 % of them , with a range of 5 to 70 presence UFC, and this is confirmed by statistical analysis. Conclusions: It is concluded that BNP is present in periodontal pockets and that they reduce their presence, after periodontal therapy
The Hubble Space Telescope Cluster Supernova Survey: V. Improving the Dark Energy Constraints Above z>1 and Building an Early-Type-Hosted Supernova Sample
We present ACS, NICMOS, and Keck AO-assisted photometry of 20 Type Ia
supernovae SNe Ia from the HST Cluster Supernova Survey. The SNe Ia were
discovered over the redshift interval 0.623 < z < 1.415. Fourteen of these SNe
Ia pass our strict selection cuts and are used in combination with the world's
sample of SNe Ia to derive the best current constraints on dark energy. Ten of
our new SNe Ia are beyond redshift , thereby nearly doubling the
statistical weight of HST-discovered SNe Ia beyond this redshift. Our detailed
analysis corrects for the recently identified correlation between SN Ia
luminosity and host galaxy mass and corrects the NICMOS zeropoint at the count
rates appropriate for very distant SNe Ia. Adding these supernovae improves the
best combined constraint on the dark energy density \rho_{DE}(z) at redshifts
1.0 < z < 1.6 by 18% (including systematic errors). For a LambdaCDM universe,
we find \Omega_\Lambda = 0.724 +0.015/-0.016 (68% CL including systematic
errors). For a flat wCDM model, we measure a constant dark energy
equation-of-state parameter w = -0.985 +0.071/-0.077 (68% CL). Curvature is
constrained to ~0.7% in the owCDM model and to ~2% in a model in which dark
energy is allowed to vary with parameters w_0 and w_a. Tightening further the
constraints on the time evolution of dark energy will require several
improvements, including high-quality multi-passband photometry of a sample of
several dozen z>1 SNe Ia. We describe how such a sample could be efficiently
obtained by targeting cluster fields with WFC3 on HST.Comment: 27 pages, 11 figures. Submitted to ApJ. This first posting includes
updates in response to comments from the referee. See
http://www.supernova.lbl.gov for other papers in the series pertaining to the
HST Cluster SN Survey. The updated supernova Union2.1 compilation of 580 SNe
is available at http://supernova.lbl.gov/Unio
Dark Matter and Fundamental Physics with the Cherenkov Telescope Array
The Cherenkov Telescope Array (CTA) is a project for a next-generation
observatory for very high energy (GeV-TeV) ground-based gamma-ray astronomy,
currently in its design phase, and foreseen to be operative a few years from
now. Several tens of telescopes of 2-3 different sizes, distributed over a
large area, will allow for a sensitivity about a factor 10 better than current
instruments such as H.E.S.S, MAGIC and VERITAS, an energy coverage from a few
tens of GeV to several tens of TeV, and a field of view of up to 10 deg. In the
following study, we investigate the prospects for CTA to study several science
questions that influence our current knowledge of fundamental physics. Based on
conservative assumptions for the performance of the different CTA telescope
configurations, we employ a Monte Carlo based approach to evaluate the
prospects for detection. First, we discuss CTA prospects for cold dark matter
searches, following different observational strategies: in dwarf satellite
galaxies of the Milky Way, in the region close to the Galactic Centre, and in
clusters of galaxies. The possible search for spatial signatures, facilitated
by the larger field of view of CTA, is also discussed. Next we consider
searches for axion-like particles which, besides being possible candidates for
dark matter may also explain the unexpectedly low absorption by extragalactic
background light of gamma rays from very distant blazars. Simulated
light-curves of flaring sources are also used to determine the sensitivity to
violations of Lorentz Invariance by detection of the possible delay between the
arrival times of photons at different energies. Finally, we mention searches
for other exotic physics with CTA.Comment: (31 pages, Accepted for publication in Astroparticle Physics
The VVV Templates Project Towards an automated classification of VVV light-curves: I. Building a database of stellar variability in the near-infrared
Context. The Vista Variables in the V'ia L'actea (VVV) ESO Public Survey is a variability survey of the Milky Way bulge and an adjacent section of the disk carried out from 2010 on ESO Visible and Infrared Survey Telescope for Astronomy (VISTA). VVV will eventually deliver a deep near-IR atlas with photometry and positions in five passbands (ZYJHK_S) and a catalogue of 1-10 million variable point sources - mostly unknown - which require classifications. Aims. The main goal of the VVV Templates Project, that we introduce in this work, is to develop and test the machine-learning algorithms for the automated classification of the VVV light-curves. As VVV is the first massive, multi-epoch survey of stellar variability in the near-infrared, the template light-curves that are required for training the classification algorithms are not available. In the first paper of the series we describe the construction of this comprehensive database of infrared stellar variability. Methods. First we performed a systematic search in the literature and public data archives, second, we coordinated a worldwide observational campaign, and third we exploited the VVV variability database itself on (optically) well-known stars to gather high-quality infrared light-curves of several hundreds of variable stars. Results. We have now collected a significant (and still increasing) number of infrared template light-curves. This database will be used as a training-set for the machine-learning algorithms that will automatically classify the light-curves produced by VVV. The results of such an automated classification will be covered in forthcoming papers of the series
The Pierre Auger Observatory III: Other Astrophysical Observations
Astrophysical observations of ultra-high-energy cosmic rays with the Pierre
Auger ObservatoryComment: Contributions to the 32nd International Cosmic Ray Conference,
Beijing, China, August 201
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