199 research outputs found
Why Are Ring Galaxies Interesting?
Compared with ordinary spirals, the ISM in ring galaxies experiences markedly
different physical conditions and evolution. As a result, ring galaxies provide
interesting perspectives on the triggering/quenching of large scale star
formation and the destructive effects of massive stars on molecular cloud
complexes. We use high resolution radio, sub-millimeter, infrared, and optical
data to investigate the role of gravitational stability in star formation
regulation, factors influencing the ISM's molecular fraction, and evidence of
peculiar star formation laws and efficiencies in two highly evolved ring
galaxies: Cartwheel and the Lindsay-Shapley ring.Comment: 6 pages with 4 figures (2 color). To appear in the conference
proceedings for "Galaxy Wars: Stellar Populations and Star Formation in
Interacting Galaxies"
Molecular Gas and Star Formation in the Cartwheel
Atacama Large Millimeter/submillimeter Array (ALMA) 12CO(J=1-0) observations
are used to study the cold molecular ISM of the Cartwheel ring galaxy and its
relation to HI and massive star formation (SF). CO moment maps find
M of H associated with the inner ring
(72%) and nucleus (28%) for a Galactic I(CO)-to-N(H2) conversion factor
(). The spokes and disk are not detected. Analysis of the
inner ring's CO kinematics show it to be expanding ( km
s) implying an Myr age. Stack averaging reveals CO emission
in the starburst outer ring for the first time, but only where HI surface
density () is high, representing M for a metallicity appropriate
, giving small ( M
pc), molecular fraction (), and H depletion
timescales ( Myr). Elsewhere in the outer ring
M pc,
and Myr (all ). The inner ring and
nucleus are H-dominated and are consistent with local spiral SF laws.
in the outer ring appears independent of ,
or . The ISM's long confinement in the
robustly star forming rings of the Cartwheel and AM0644-741 may result in
either a large diffuse H component or an abundance of CO-faint low column
density molecular clouds. The H content of evolved starburst rings may
therefore be substantially larger. Due to its lower and age
the Cartwheel's inner ring has yet to reach this state. Alternately, the outer
ring may trigger efficient SF in an HI-dominated ISM.Comment: 10-pages text; 5-figure
Spitzer Observations of Tidal Dwarf Galaxies
We present Spitzer observations of Tidal Dwarf Galaxies (TDGs) in three interacting systems: NGC 5291, Arp 105 & Stephan’s Quintet. The spectra show bright emission from polyaromatic hydrocarbons (PAHs), nebular lines and warm molecular hydrogen, characteristic of recent episodes of star formation. The PAH emission that falls in the IRAC 8.0 µm band leads to the TDGs having an extremely red IRAC color, with [4.5] − [8.0] \u3e 3. The emission from PAHs is characterized by a model with mainly neutral 100-C PAH atoms
Wheels of Fire. IV: Star Formation and the Neutral ISM in the Ring Galaxy AM0644-741
We combine data from the Australia Telescope National Facility and Swedish ESO Submillimeter Telescope to investigate the neutral interstellar medium (ISM) in AM0644-741, a large and robustly star-forming ring galaxy. The galaxy\u27s ISM is concentrated in the 42 kpc diameter starburst ring, but appears dominated by atomic gas, with a global molecular fraction (f mol) of only 0.062 ± 0.005. Apart from the starburst peak, the gas ring appears stable against the growth of gravitational instabilities (Q gas = 3-11). Including the stellar component lowers Q overall, but not enough to make Q \u3c 1 everywhere. High star formation efficiencies (SFEs) follow from the ring\u27s low H2 content. AM0644-741\u27s star formation law is highly peculiar: H I obeys a Schmidt law while H2 is uncorrelated with star formation rate density. Photodissociation models yield low volume densities in the ring, especially in the starburst quadrant (n 2 cm–3), implying a warm neutral medium dominated ISM. At the same time, the ring\u27s pressure and ambient far-ultraviolet radiation field lead to the expectation of a predominantly molecular ISM. We argue that the ring\u27s high SFE, low f mol and n, and peculiar star formation law follow from the ISM\u27s 100 Myr confinement time in the starburst ring, which amplifies the destructive effects of embedded massive stars and supernovae. As a result, the ring\u27s molecular ISM becomes dominated by small clouds, causing to be significantly underestimated by 12CO line fluxes: in effect, X CO X Gal despite the ring\u27s ≥solar metallicity. The observed H I is primarily a low-density photodissociation product, i.e., a tracer rather than a precursor of massive star formation. Such an over-cooked ISM may be a general characteristic of evolved starburst ring galaxies
Environmental Influences in SGRs and AXPs
Soft gamma-ray repeaters (SGRs) and anomalous x-ray pulsars (AXPs) are young
(<100 kyr), radio-quiet, x-ray pulsars which have been rapidly spun-down to
slow spin periods clustered at 5-12 s. Nearly all of these unusual pulsars also
appear to be associated with supernova shell remnants (SNRs) with typical ages
<20 kyr. If the unusual properties of SGRs and AXPs were due to an innate
feature, such as a superstrong magnetic field, then the pre-supernova
environments of SGRs and AXPs should be typical of neutron star progenitors.
This is not the case, however, as we demonstrate that the interstellar media
which surrounded the SGR and AXP progenitors and their SNRs were unusually
dense compared to the environments around most young radio pulsars and SNRs.
Thus, if these SNR associations are real, the SGRs and AXPs can not be
``magnetars'', and we suggest instead that the environments surrounding SGRs
and AXPs play a controlling role in their development.Comment: 5 pages with 2 figures. To appear in the proceedings of the 5th
Huntsville GRB Symposium (Huntsville, AL, Oct. 1999
Utility of Experimental Design in Automatic Target Recognition Performance Evaluation
This research investigates current practices in test and evaluation of classification algorithms, and recommends improvements. We scrutinize the evaluation of automatic target recognition algorithms and rationalize the potential for improvements in the accepted methodology. We propose improvements through the use of an experimental design approach to testing. We demonstrate the benefits of improvements by simulating algorithm performance data and using both methodologies to generate evaluation results. The simulated data is varied to test the sensitivity of the benefits to a broad set of outcomes. The opportunities for improvement are threefold. First, the current practice of \u27one-at-a-time factor variation (only one factor is varied in each test condition) fails to capture the effect of multiple factors. Next, the coarse characterization of data misses the opportunity to reduce the estimate of noise in test through the observation of uncontrolled factors. Finally, the lack of advanced data reduction and analysis tools renders analysis and reporting tedious and inefficient. This research addresses these shortcomings and recommends specific remedies through factorial testing, detailed data characterization, and logistic regression. We show how these innovations improve the accuracy and efficiency of automatic target recognition performance evaluation
Molecular Gas and Star Formation in the Cartwheel
Atacama Large Millimeter/submillimeter Array 12CO(J = 1–0) observations are used to study the cold molecular ISM of the Cartwheel ring galaxy and its relation to H i and massive star formation (SF). CO moment maps find (2.69 ± 0.05) × 109 M⊙ of H2 associated with the inner ring (72%) and nucleus (28%) for a Galactic ICO-to- conversion factor (αCO). The spokes and disk are not detected. Analysis of the inner ring\u27s CO kinematics shows it to be expanding (Vexp = 68.9 ± 4.9 km s−1), implying an ≈70 Myr age. Stack averaging reveals CO emission in the starburst outer ring for the first time, but only where H i surface density (ΣH i) is high, representing M⊙ for a metallicity-appropriate αCO, giving small (3.7 M⊙ pc−2), molecular fraction (fmol = 0.10), and H2 depletion timescales (τmol ≈ 50–600 Myr). Elsewhere in the outer ring M⊙ pc−2, fmol 0.1 and τmol 140–540 Myr (all 3σ). The inner ring and nucleus are H2 dominated and are consistent with local spiral SF laws. ΣSFR in the outer ring appears independent of ΣH i, or The ISM\u27s long confinement in the robustly star-forming rings of the Cartwheel and AM0644-741 may result in either a large diffuse H2 component or an abundance of CO-faint low column density molecular clouds. The H2 content of evolved starburst rings may therefore be substantially larger. Due to its lower ΣSFR and age, the Cartwheel\u27s inner ring has yet to reach this state. Alternately, the outer ring may trigger efficient SF in a H i-dominated ISM
Development of biospecimen sample preparation techniques for molecular imaging using ultra-high resolution mass spectrometry [abstract]
Matrix assisted laser desorption ionization (MALDI) imaging is a technique which analyzes and maps the distribution of molecules in two-dimensional biospecimens, such as histological tissue sections. To-date, the classifications of molecules imaged using this technique is nearly comprehensive to those found in all tissues and include proteins, lipids, peptides, carbohydrates, nucleic acids, drugs, metabolites and other molecules. Using an imaging mass spectrometer, two-dimensional images may be produced by "staining" an optical image with an overlay of the distributions of multiple specific mass signals, elucidating the molecular architecture within the context of a biospecimen. In the future, MALDI imaging may revolutionize early-state disease diagnosis, biomarker discovery, drug development and personalized medicine
Calibration of Computational Models with Categorical Parameters and Correlated Outputs via Bayesian Smoothing Spline ANOVA
It has become commonplace to use complex computer models to predict outcomes
in regions where data does not exist. Typically these models need to be
calibrated and validated using some experimental data, which often consists of
multiple correlated outcomes. In addition, some of the model parameters may be
categorical in nature, such as a pointer variable to alternate models (or
submodels) for some of the physics of the system. Here we present a general
approach for calibration in such situations where an emulator of the
computationally demanding models and a discrepancy term from the model to
reality are represented within a Bayesian Smoothing Spline (BSS) ANOVA
framework. The BSS-ANOVA framework has several advantages over the traditional
Gaussian Process, including ease of handling categorical inputs and correlated
outputs, and improved computational efficiency. Finally this framework is then
applied to the problem that motivated its design; a calibration of a
computational fluid dynamics model of a bubbling fluidized which is used as an
absorber in a CO2 capture system
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