Abstracts of Interest
Selected by:
Phong Nguyen
Abstract: 1711.09266
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Title: IceCube's astrophysical neutrino energy spectrum from CPT violation
(Submitted on 25 Nov 2017)
Abstract: The 6-year dataset of high-energy starting events (HESE) at IceCube indicates a spectrum of astrophysical neutrinos much softer than expected from the Fermi shock acceleration mechanism. On the other hand, IceCube's up-going muon neutrino dataset and Fermi-LAT's gamma-ray spectrum point to an $E^{-2}$ neutrino spectrum. If the HESE data above 200 TeV are fit with the latter flux, an excess at lower energies ensues, which then suggests a multicomponent spectrum. We show that the HESE dataset can be explained by a single $E^{-2}$ power-law neutrino flux from a muon-damped $p\gamma$ source if neutrino interactions are modified by CPT violation. The low-energy excess is naturally explained by the pile up of events from superluminal neutrino decay, and there is no cutoff at high energies due to the contribution of subluminal antineutrinos. The best-fit scenario with CPT violation also predicts the observation of Glashow resonance events in the near future.
Abstract: 1711.09611
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Title: Radio Galaxy Zoo: A Search for Hybrid Morphology Radio Galaxies
(Submitted on 27 Nov 2017)
Abstract: Hybrid morphology radio sources are a rare type of radio galaxy that display different Fanaroff-Riley classes on opposite sides of their nuclei. To enhance the statistical analysis of hybrid morphology radio sources, we embarked on a large-scale search of these sources within the international citizen science project, Radio Galaxy Zoo (RGZ). Here, we present 25 new candidate hybrid morphology radio galaxies. Our selected candidates are moderate power radio galaxies (L_median = 4.7x10^{24} W/(Hz sr) at redshifts 0.14<z<1.0. Hosts of nine candidates have spectroscopic observations, of which six are classified as quasars, one as high- and two as low-excitation galaxies. Two candidate HyMoRS are giant (>1Mpc) radio galaxies, one resides at a centre of a galaxy cluster, and one is hosted by a rare green bean galaxy. Although the origin of the hybrid morphology radio galaxies is still unclear, this type of radio source starts depicting itself as a rather diverse class. We discuss hybrid radio morphology formation in terms of the radio source environment (nurture) and intrinsically occurring phenomena (nature; activity cessation and amplification), showing that these peculiar radio galaxies can be formed by both mechanisms. While high angular resolution follow-up observations are still necessary to confirm our candidates, we demonstrate the efficacy of the Radio Galaxy Zoo in the pre-selection of these sources from all-sky radio surveys, and report the reliability of citizen scientists in identifying and classifying complex radio sources.
Abstract: 1711.09616
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Full Text: [ PostScript, PDF]
Title: Cosmic-ray propagation with DRAGON2: II. Nuclear interactions with the interstellar gas
(Submitted on 27 Nov 2017)
Abstract: Understanding the isotopic composition of cosmic rays (CRs) observed near Earth represents a milestone towards the identification of their origin. Local fluxes contain all the known stable and long-lived isotopes, reflecting the complex history of primaries and secondaries as they transverse the interstellar medium. For that reason, a numerical code which aims at describing the CR transport in the Galaxy must unavoidably rely on accurate modelling of the production of secondary particles. In this work, we provide a detailed description of the nuclear cross sections and decay network as implemented in the forthcoming release of the galactic propagation code DRAGON2. We present a comprehensive collection of the most recent secondary production models and we apply the different prescriptions to compute quantities of interest to interpret local CR fluxes (e.g., nuclear fragmentation timescales, secondary and tertiary source terms). The production of nuclear secondaries by spallation is obtained by fitting existing empirical or semi-empirical prescriptions to a large sample of existing measurements in the energy range 100 MeV/n to 100 GeV/n. We additionally consider the contribution of almost all the known decaying isotopes up to iron. The results presented here can be used to gauge the perspectives of recent experiments, e.g. AMS-02, to scrutinize direct measurements in search of non-standard contribution.
Abstract: 1711.09921
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Title: A next-generation Very Large Array
(Submitted on 27 Nov 2017)
Abstract: In this proceeding, we summarize the key science goals and reference design for a next-generation Very Large Array (ngVLA) that is envisaged to operate in the 2030s. The ngVLA is an interferometric array with more than 10 times the sensitivity and spatial resolution of the current VLA and ALMA, that will operate at frequencies spanning $\sim 1.2 -116$ GHz, thus lending itself to be highly complementary to ALMA and the SKA1. As such, the ngVLA will tackle a broad range of outstanding questions in modern astronomy by simultaneously delivering the capability to: unveil the formation of Solar System analogues; probe the initial conditions for planetary systems and life with astrochemistry; characterize the assembly, structure, and evolution of galaxies from the first billion years to the present; use pulsars in the Galactic center as fundamental tests of gravity; and understand the formation and evolution of stellar and supermassive blackholes in the era of multi-messenger astronomy.
Abstract: 1711.10047
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Title: Starbursts in and out of the star-formation main sequence
(Submitted on 27 Nov 2017)
Abstract: We use high-resolution continuum images obtained with the Atacama Large Millimeter Array (ALMA) at 870um to probe the surface density of star-formation in z~2 galaxies and study the different physical properties between galaxies within and well above the star-formation main sequence of galaxies. This sample of eight star-forming galaxies selected among the most massive Herschel galaxies in the GOODS-South field is supplemented with eleven galaxies from the public data of the 1.3 mm survey of the Hubble Ultra-Deep Field. ALMA reveals dense concentrations of dusty star-formation close to the center of stellar component of the galaxies. We identify two different starburst regimes: (i) galaxies well above the SFR-M* main sequence, with enhanced gas fractions, and (ii) a sub-population of galaxies located within the scatter of the main sequence that experience compact star formation with depletion timescales typical of local starbursts of 150 Myr. In both starburst populations, the far infrared and UV are distributed in distinct regions and dust-corrected star formation rates estimated using UV-optical-NIR data alone underestimate the total star formation rate. In the starbursts above the main sequence, gas fractions are enhanced as compared to the main sequence. This may be explained by the infall of circum-galactic matter, hence by an enhanced conversion of total gas into stars. Starbursts "hidden" in the main sequence show instead the lowest gas fractions of our sample and could represent the late-stage phase of the merger of gas-rich galaxies, for which high-resolution hydrodynamic simulations suggest that mergers only increase the star formation rate by moderate factors. Active galactic nuclei are found to be ubiquitous in these compact starbursts, suggesting that the triggering mechanism also feeds the central black hole or that the active nucleus triggers star formation.
Abstract: 1711.10164
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Title: Analytic calculation of radio emission from parameterized extensive air showers, a tool to extract shower parameters
(Submitted on 28 Nov 2017)
Abstract: The radio intensity and polarization footprint of a cosmic-ray induced extensive air shower is determined by the time-dependent structure of the current distribution residing in the plasma cloud at the shower front. In turn, the time dependence of the integrated charge-current distribution in the plasma cloud, the longitudinal shower structure, is determined by interesting physics which one would like to extract such as the location and multiplicity of the primary cosmic-ray collision or the values of electric fields in the atmosphere during thunderstorms. To extract the structure of a shower from its footprint requires solving a complicated inverse problem. For this purpose we have developed a code that semi-analytically calculates the radio footprint of an extensive air shower given an arbitrary longitudinal structure. This code can be used in a optimization procedure to extract the optimal longitudinal shower structure given a radio footprint. On the basis of air-shower universality we propose a simple parametrization of the structure of the plasma cloud. This parametrization is based on the results of Monte-Carlo shower simulations. Deriving the parametrization also teaches which aspects of the plasma cloud are important for understanding the features seen in the radio-emission footprint. The calculated radio footprints are compared with microscopic CoREAS simulations.
Abstract: 1711.10339
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Full Text: [ PostScript, PDF]
Title: Pulsar Candidate Identification with Artificial Intelligence Techniques
(Submitted on 27 Nov 2017)
Abstract: Discovering pulsars is a significant and meaningful research topic in the field of radio astronomy. With the advent of astronomical instruments such as he Five-hundred-meter Aperture Spherical Telescope (FAST) in China, data volumes and data rates are exponentially growing. This fact necessitates a focus on artificial intelligence (AI) technologies that can perform the automatic pulsar candidate identification to mine large astronomical data sets. Automatic pulsar candidate identification can be considered as a task of determining potential candidates for further investigation and eliminating noises of radio frequency interferences or other non-pulsar signals. It is very hard to raise the performance of DCNN-based pulsar identification because the limited training samples restrict network structure to be designed deep enough for learning good features as well as the crucial class imbalance problem due to very limited number of real pulsar samples. To address these problems, we proposed a framework which combines deep convolution generative adversarial network (DCGAN) with support vector machine (SVM) to deal with imbalance class problem and to improve pulsar identification accuracy. DCGAN is used as sample generation and feature learning model, and SVM is adopted as the classifier for predicting candidate's labels in the inference stage. The proposed framework is a novel technique which not only can solve imbalance class problem but also can learn discriminative feature representations of pulsar candidates instead of computing hand-crafted features in preprocessing steps too, which makes it more accurate for automatic pulsar candidate selection. Experiments on two pulsar datasets verify the effectiveness and efficiency of our proposed method.
Abstract: 1711.10599
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Full Text: [ PostScript, PDF]
Title: Multilevel Bayesian Parameter Estimation in the Presence of Model Inadequacy and Data Uncertainty
(Submitted on 28 Nov 2017)
Abstract: Model inadequacy and measurement uncertainty are two of the most confounding aspects of inference and prediction in quantitative sciences. The process of scientific inference (the inverse problem) and prediction (the forward problem) involve multiple steps of data analysis, hypothesis formation, model construction, parameter estimation, model validation, and finally, the prediction of the quantity of interest. This article seeks to clarify the concepts of model inadequacy and bias, measurement uncertainty, and the two traditional classes of uncertainty: aleatoric versus epistemic, as well as their relationships with each other in the process of scientific inference. Starting from basic principles of probability, we build and explain a hierarchical Bayesian framework to quantitatively deal with model inadequacy and noise in data. The methodology can be readily applied to many common inference and prediction problems in science, engineering, and statistics.
Abstract: 1711.11067
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Full Text: [ PostScript, PDF]
Title: Improved measurements of the energy and shower maximum of cosmic rays with Tunka-Rex
(Submitted on 29 Nov 2017)
Abstract: The Tunka Radio Extension (Tunka-Rex) is an array of 63 antennas located in the Tunka Valley, Siberia. It detects radio pulses in the 30-80 MHz band produced during the air-shower development. As shown by Tunka-Rex, a sparse radio array with about 200 m spacing is able to reconstruct the energy and the depth of the shower maximum with satisfactory precision using simple methods based on parameters of the lateral distribution of amplitudes. The LOFAR experiment has shown that a sophisticated treatment of all individually measured amplitudes of a dense antenna array can make the precision comparable with the resolution of existing optical techniques. We develop these ideas further and present a method based on the treatment of time series of measured signals, i.e. each antenna station provides several points (trace) instead of a single one (amplitude or power). We use the measured shower axis and energy as input for CoREAS simulations: for each measured event we simulate a set of air-showers with proton, helium, nitrogen and iron as primary particle (each primary is simulated about ten times to cover fluctuations in the shower maximum due to the first interaction). Simulated radio pulses are processed with the Tunka-Rex detector response and convoluted with the measured signals. A likelihood fit determines how well the simulated event fits to the measured one. The positions of the shower maxima are defined from the distribution of chi-square values of these fits. When using this improved method instead of the standard one, firstly, the shower maximum of more events can be reconstructed, secondly, the resolution is increased. The performance of the method is demonstrated on the data acquired by the Tunka-Rex detector in 2012-2014.
Abstract: 1711.11274
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Full Text: [ PostScript, PDF]
Title: Ultra-High Energy Cosmic Rays and Neutrinos from Tidal Disruptions by Massive Black Holes
(Submitted on 30 Nov 2017)
Abstract: Tidal disruptions are extremely powerful phenomena, which have been candidate sources of ultra-high energy cosmic rays. The disruption of a star by a black hole can naturally provide protons but also heavier nuclei, which can be injected and accelerated to ultra-high energies within a jet. Inside the jet, accelerated nuclei are likely to interact with a dense photon field, leading to a significant production of neutrinos and secondary particles. We model numerically the propagation and interactions of high energy nuclei in jetted tidal disruption events, in order to evaluate consistently their signatures in cosmic rays and neutrinos. We propose a simple model of the light curve of tidal distruption events, consisting of two stages: a high state with bright luminosity and short duration and a medium state, less bright and lasting longer. These two states have different impacts on the production of cosmic rays and neutrinos. In order to calculate the diffuse fluxes of cosmic rays and neutrinos, we model the luminosity function and redshift evolution of jetted tidal disruption events. We find that we can fit the latest ultra-high energy cosmic ray spectrum and composition results of the Auger experiment for a range of reasonable parameters. The diffuse neutrino flux associated to this scenario is found to be sub-dominant, but nearby events can be detected by IceCube or next-generation detectors such as IceCube-Gen2.
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