61 research outputs found
Critical phenomena at the threshold of black hole formation for collisionless matter in spherical symmetry
We perform a numerical study of the critical regime at the threshold of black
hole formation in the spherically symmetric, general relativistic collapse of
collisionless matter. The coupled Einstein-Vlasov equations are solved using a
particle-mesh method in which the evolution of the phase-space distribution
function is approximated by a set of particles (or, more precisely,
infinitesimally thin shells) moving along geodesics of the spacetime.
Individual particles may have non-zero angular momenta, but spherical symmetry
dictates that the total angular momentum of the matter distribution vanish. In
accord with previous work by Rein et al, our results indicate that the critical
behavior in this model is Type I; that is, the smallest black hole in each
parametrized family has a finite mass. We present evidence that the critical
solutions are characterized by unstable, static spacetimes, with non-trivial
distributions of radial momenta for the particles. As expected for Type I
solutions, we also find power-law scaling relations for the lifetimes of
near-critical configurations as a function of parameter-space distance from
criticality.Comment: 32 pages, 10 figure
New Insights into White-Light Flare Emission from Radiative-Hydrodynamic Modeling of a Chromospheric Condensation
(abridged) The heating mechanism at high densities during M dwarf flares is
poorly understood. Spectra of M dwarf flares in the optical and
near-ultraviolet wavelength regimes have revealed three continuum components
during the impulsive phase: 1) an energetically dominant blackbody component
with a color temperature of T 10,000 K in the blue-optical, 2) a smaller
amount of Balmer continuum emission in the near-ultraviolet at lambda 3646
Angstroms and 3) an apparent pseudo-continuum of blended high-order Balmer
lines. These properties are not reproduced by models that employ a typical
"solar-type" flare heating level in nonthermal electrons, and therefore our
understanding of these spectra is limited to a phenomenological interpretation.
We present a new 1D radiative-hydrodynamic model of an M dwarf flare from
precipitating nonthermal electrons with a large energy flux of erg
cm s. The simulation produces bright continuum emission from a
dense, hot chromospheric condensation. For the first time, the observed color
temperature and Balmer jump ratio are produced self-consistently in a
radiative-hydrodynamic flare model. We find that a T 10,000 K
blackbody-like continuum component and a small Balmer jump ratio result from
optically thick Balmer and Paschen recombination radiation, and thus the
properties of the flux spectrum are caused by blue light escaping over a larger
physical depth range compared to red and near-ultraviolet light. To model the
near-ultraviolet pseudo-continuum previously attributed to overlapping Balmer
lines, we include the extra Balmer continuum opacity from Landau-Zener
transitions that result from merged, high order energy levels of hydrogen in a
dense, partially ionized atmosphere. This reveals a new diagnostic of ambient
charge density in the densest regions of the atmosphere that are heated during
dMe and solar flares.Comment: 50 pages, 2 tables, 13 figures. Accepted for publication in the Solar
Physics Topical Issue, "Solar and Stellar Flares". Version 2 (June 22, 2015):
updated to include comments by Guest Editor. The final publication is
available at Springer via http://dx.doi.org/10.1007/s11207-015-0708-
Gene Regulation in the Pi Calculus: Simulating Cooperativity at the Lambda Switch
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4230).Also part of the Lecture Notes in Bioinformatics book sub series (volume 4230).International audienceWe propose to model the dynamics of gene regulatory networks as concurrent processes in the stochastic pi calculus. As a first case study, we show how to express the control of transcription initiation at the lambda switch, a prototypical example where cooperative enhancement is crucial. This requires concurrent programming techniques that are new to systems biology, and necessitates stochastic parameters that we derive from the literature. We test all components of our model by exhaustive stochastic simulations. A comparison with previous results reported in the literature, experimental and simulation based, confirms the appropriateness of our modeling approach
The Time Domain Spectroscopic Survey: Variable Selection and Anticipated Results
We present the selection algorithm and anticipated results for the Time Domain Spectroscopic Survey (TDSS). TDSS is an Sloan Digital Sky Survey (SDSS)-IV Extended Baryon Oscillation Spectroscopic Survey (eBOSS) subproject that will provide initial identification spectra of approximately 220,000 luminosity-variable objects (variable stars and active galactic nuclei across 7500 deg2 selected from a combination of SDSS and multi-epoch Pan-STARRS1 photometry. TDSS will be the largest spectroscopic survey to explicitly target variable objects, avoiding pre-selection on the basis of colors or detailed modeling of specific variability characteristics. Kernel Density Estimate analysis of our target population performed on SDSS Stripe 82 data suggests our target sample will be 95% pure (meaning 95% of objects we select have genuine luminosity variability of a few magnitudes or more). Our final spectroscopic sample will contain roughly 135,000 quasars and 85,000 stellar variables, approximately 4000 of which will be RR Lyrae stars which may be used as outer Milky Way probes. The variability-selected quasar population has a smoother redshift distribution than a color-selected sample, and variability measurements similar to those we develop here may be used to make more uniform quasar samples in large surveys. The stellar variable targets are distributed fairly uniformly across color space, indicating that TDSS will obtain spectra for a wide variety of stellar variables including pulsating variables, stars with significant chromospheric activity, cataclysmic variables, and eclipsing binaries. TDSS will serve as a pathfinder mission to identify and characterize the multitude of variable objects that will be detected photometrically in even larger variability surveys such as Large Synoptic Survey Telescope
General Overview of Black Hole Accretion Theory
I provide a broad overview of the basic theoretical paradigms of black hole
accretion flows. Models that make contact with observations continue to be
mostly based on the four decade old alpha stress prescription of Shakura &
Sunyaev (1973), and I discuss the properties of both radiatively efficient and
inefficient models, including their local properties, their expected stability
to secular perturbations, and how they might be tied together in global flow
geometries. The alpha stress is a prescription for turbulence, for which the
only existing plausible candidate is that which develops from the
magnetorotational instability (MRI). I therefore also review what is currently
known about the local properties of such turbulence, and the physical issues
that have been elucidated and that remain uncertain that are relevant for the
various alpha-based black hole accretion flow models.Comment: To be published in Space Science Reviews and as hard cover in the
Space Sciences Series of ISSI: The Physics of Accretion on to Black Holes
(Springer Publisher
Orientation of Galaxies in the Local Supercluster: A Review
The progress of the studies on the orientation of galaxies in the Local
Supercluster (LSC) is reviewed and a summary of recent results is given.
Following a brief introduction of the LSC, we describe the results of early
studies based on two-dimensional analysis, which were mostly not conclusive. We
describe next the three-dimensional analysis, which is used widely today.
Difficulties and systematic effects are explained and the importance of
selection effects is described. Then, results based on the new method and
modern databases are given, which are summarized as follows. When the LSC is
seen as a whole, galaxy planes tend to align perpendicular to the LSC plane
with lenticulars showing the most pronounced tendency. Projections onto the LSC
plane of the spin vectors of Virgo cluster member galaxies, and to some extent,
those of the total LSC galaxies, tend to point to the Virgo cluster center.
This tendency is more pronounced for lenticulars than for spirals. It is
suggested that 'field' galaxies, i.e., those which do not belong to groups with
more than three members, may be better objects than other galaxies to probe the
information at the early epoch of the LSC formation through the analysis of
galaxy orientations. Field lenticulars show a pronounced anisotropic
distribution of spin vectors in the sense that they lay their spin vectors
parallel to the LSC plane while field spirals show an isotropic spin-vector
distribution.Comment: 21 pages, 10 figures; Accepted for publication in Astrophysics and
Space Scienc
Mendelian randomization supports bidirectional causality between telomere length and clonal hematopoiesis of indeterminate potential
Human genetic studies support an inverse causal relationship between leukocyte telomere length (LTL) and coronary artery disease (CAD), but directionally mixed effects for LTL and diverse malignancies. Clonal hematopoiesis of indeterminate potential (CHIP), characterized by expansion of hematopoietic cells bearing leukemogenic mutations, predisposes both hematologic malignancy and CAD. TERT (which encodes telomerase reverse transcriptase) is the most significantly associated germline locus for CHIP in genome-wide association studies. Here, we investigated the relationship between CHIP, LTL, and CAD in the Trans-Omics for Precision Medicine (TOPMed) program (n = 63,302) and UK Biobank (n = 47,080). Bidirectional Mendelian randomization studies were consistent with longer genetically imputed LTL increasing propensity to develop CHIP, but CHIP then, in turn, hastens to shorten measured LTL (mLTL). We also demonstrated evidence of modest mediation between CHIP and CAD by mLTL. Our data promote an understanding of potential causal relationships across CHIP and LTL toward prevention of CAD
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