870 research outputs found
The domain of a cannibal dark matter
We consider a scenario in which the dark matter is alone in a hidden sector
and consists of a real scalar particle with a manifest or spontaneously broken
symmetry, at a temperature which differs from the one of the
visible sector, . While similar models with general couplings have
already been studied in the literature, the special case of a model with
spontaneous symmetry breaking constitutes a non-trivial limit of these results,
since it features vanishing tree-level amplitudes for the processes with at threshold, thus making the cross-section governing
dark-matter freeze-out velocity suppressed. We carefully determine the
thermally averaged dark-matter annihilation cross-section in this scenario,
including the possible effects of one-loop corrections and Bose-Einstein
statistics, while also reporting our results in the domain of thermal dark
matter candidates, vs. with being
the hidden-sector temperature at decoupling. We show that for fixed quartic
coupling, due to entropy conservation, the thermal candidates lie along a curve
with anomalous scaling . Furthermore, we demonstrate
that this scaling is valid for a broad class of cannibal DM scenarios, with or
without symmetry breaking. In addition, we also discuss the relevant
cosmological and astrophysical constraints.Comment: 26 pages, 6 figures; v2: added discussion on domain-wall formation,
matches published versio
BBN constraints on MeV-scale dark sectors. Part II. Electromagnetic decays
Meta-stable dark sector particles decaying into electrons or photons may
non-trivially change the Hubble rate, lead to entropy injection into the
thermal bath of Standard Model particles and may also photodisintegrate light
nuclei formed in the early universe. We study generic constraints from Big Bang
Nucleosynthesis on such a setup, with a particular emphasis on MeV-scale
particles which are neither fully relativistic nor non-relativistic during all
times relevant for Big Bang Nucleosynthesis. We apply our results to a simple
model of self-interacting dark matter with a light scalar mediator. This setup
turns out to be severely constrained by these considerations in combination
with direct dark matter searches and will be fully tested with the next
generation of low-threshold direct detection experiments.Comment: 35 pages, 9 figures. v2: Included effect of FSR, conclusions
unchanged. v3: matches published versio
Precise dark matter relic abundance in decoupled sectors
Dark matter (DM) as a thermal relic of the primordial plasma is increasingly
pressured by direct and indirect searches, while the same production mechanism
in a decoupled sector is much less constrained. We extend the standard
treatment of the freeze-out process to such scenarios and perform precision
calculations of the annihilation cross section required to match the observed
DM abundance. We demonstrate that the difference to the canonical value is
generally sizeable, and can reach orders of magnitude. Our results directly
impact the interpretation of DM searches in hidden sector scenarios.Comment: 8 pages, 4 figure
A new life for sterile neutrino dark matter after the pandemic
We propose a novel mechanism to generate sterile neutrinos in the
early Universe, by converting ordinary neutrinos in scattering
processes . After initial production by
oscillations, this leads to an exponential growth in the abundance. We
show that such a production regime naturally occurs for self-interacting
, and that this opens up significant new parameter space where
make up all of the observed dark matter. Our results provide strong motivation
to further push the sensitivity of X-ray line searches, and to improve on
constraints from structure formation.Comment: 12 pages revtex 4, 5 figures; matches published versio
The GLEaMviz computational tool, a publicly available software to explore realistic epidemic spreading scenarios at the global scale
<p>Abstract</p> <p>Background</p> <p>Computational models play an increasingly important role in the assessment and control of public health crises, as demonstrated during the 2009 H1N1 influenza pandemic. Much research has been done in recent years in the development of sophisticated data-driven models for realistic computer-based simulations of infectious disease spreading. However, only a few computational tools are presently available for assessing scenarios, predicting epidemic evolutions, and managing health emergencies that can benefit a broad audience of users including policy makers and health institutions.</p> <p>Results</p> <p>We present "GLEaMviz", a publicly available software system that simulates the spread of emerging human-to-human infectious diseases across the world. The GLEaMviz tool comprises three components: the client application, the proxy middleware, and the simulation engine. The latter two components constitute the GLEaMviz server. The simulation engine leverages on the Global Epidemic and Mobility (GLEaM) framework, a stochastic computational scheme that integrates worldwide high-resolution demographic and mobility data to simulate disease spread on the global scale. The GLEaMviz design aims at maximizing flexibility in defining the disease compartmental model and configuring the simulation scenario; it allows the user to set a variety of parameters including: compartment-specific features, transition values, and environmental effects. The output is a dynamic map and a corresponding set of charts that quantitatively describe the geo-temporal evolution of the disease. The software is designed as a client-server system. The multi-platform client, which can be installed on the user's local machine, is used to set up simulations that will be executed on the server, thus avoiding specific requirements for large computational capabilities on the user side.</p> <p>Conclusions</p> <p>The user-friendly graphical interface of the GLEaMviz tool, along with its high level of detail and the realism of its embedded modeling approach, opens up the platform to simulate realistic epidemic scenarios. These features make the GLEaMviz computational tool a convenient teaching/training tool as well as a first step toward the development of a computational tool aimed at facilitating the use and exploitation of computational models for the policy making and scenario analysis of infectious disease outbreaks.</p
Measurement of the quasi-elastic axial vector mass in neutrino-oxygen interactions
The weak nucleon axial-vector form factor for quasi-elastic interactions is
determined using neutrino interaction data from the K2K Scintillating Fiber
detector in the neutrino beam at KEK. More than 12,000 events are analyzed, of
which half are charged-current quasi-elastic interactions nu-mu n to mu- p
occurring primarily in oxygen nuclei. We use a relativistic Fermi gas model for
oxygen and assume the form factor is approximately a dipole with one parameter,
the axial vector mass M_A, and fit to the shape of the distribution of the
square of the momentum transfer from the nucleon to the nucleus. Our best fit
result for M_A = 1.20 \pm 0.12 GeV. Furthermore, this analysis includes updated
vector form factors from recent electron scattering experiments and a
discussion of the effects of the nucleon momentum on the shape of the fitted
distributions.Comment: 14 pages, 10 figures, 6 table
Biodiversity of Prokaryotic Communities Associated with the Ectoderm of Ectopleura crocea (Cnidaria, Hydrozoa)
The surface of many marine organisms is colonized by complex communities of microbes, yet our understanding of the diversity and role of host-associated microbes is still limited. We investigated the association between Ectopleura crocea (a colonial hydroid distributed worldwide in temperate waters) and prokaryotic assemblages colonizing the hydranth surface. We used, for the first time on a marine hydroid, a combination of electron and epifluorescence microscopy and 16S rDNA tag pyrosequencing to investigate the associated prokaryotic diversity. Dense assemblages of prokaryotes were associated with the hydrant surface. Two microbial morphotypes were observed: one horseshoe-shaped and one fusiform, worm-like. These prokaryotes were observed on the hydrozoan epidermis, but not in the portions covered by the perisarcal exoskeleton, and their abundance was higher in March while decreased in late spring. Molecular analyses showed that assemblages were dominated by Bacteria rather than Archaea. Bacterial assemblages were highly diversified, with up to 113 genera and 570 Operational Taxonomic Units (OTUs), many of which were rare and contributed to <0.4%. The two most abundant OTUs, likely corresponding to the two morphotypes present on the epidermis, were distantly related to Comamonadaceae (genus Delftia) and to Flavobacteriaceae (genus Polaribacter). Epibiontic bacteria were found on E. crocea from different geographic areas but not in other hydroid species in the same areas, suggesting that the host-microbe association is species-specific. This is the first detailed report of bacteria living on the hydrozoan epidermis, and indeed the first study reporting bacteria associated with the epithelium of E. crocea. Our results provide a starting point for future studies aiming at clarifying the role of this peculiar hydrozoan-bacterial association
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