7,285 research outputs found

    Improved filters for gravitational waves from inspiraling compact binaries

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    The order of the post-Newtonian expansion needed to extract in a reliable and accurate manner the fully general relativistic gravitational wave signal from inspiraling compact binaries is explored. A class of approximate wave forms, called P-approximants, is constructed based on the following two inputs: (a) the introduction of two new energy-type and flux-type functions e(v) and f(v), respectively, (b) the systematic use of the Padé approximation for constructing successive approximants of e(v) and f(v). The new P-approximants are not only more effectual (larger overlaps) and more faithful (smaller biases) than the standard Taylor approximants, but also converge faster and monotonically. The presently available (v/c)^5-accurate post-Newtonian results can be used to construct P-approximate wave forms that provide overlaps with the exact wave form larger than 96.5%, implying that more than 90% of potential events can be detected with the aid of P-approximants as opposed to a mere 10–15 % that would be detectable using standard post-Newtonian approximants

    Detection and Avoidance of Objects Robot with Internet Connectivity and Signal Strength-Based Location Tracking

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    This paper presents an object detection and avoidance robot with location tracking and internet connectivity capabilities. The robot is equipped with a hardware module that detects the highest frequency rate of radio wave signals and sends the detected signal, then from color sensors to the object avoidance robot to take a decision in search of the best signal strength. The robot moves forward in search of a better signal strength, then stays back if the signal is stronger or retreats if it is weak. When the signal strength is strong at a location, the robot informs the user of its current location and provides internet connectivity through a single-band dongle with a SIM card reader. Additionally, if the user wants the robot to return to the user's location, it backtracks the path with the help of an object detection and avoidance algorithm, whereas the user can track its activity. The proposed system has the potential to improve location tracking by object detection and avoidance in various applications, such as surveillance, search and rescue missions, military operations, and internet tracking connectivity for handicapped people in open spaces or remote areas. The proposed system here is used to track network signals and is predefined with an object detection and avoidance algorithm

    Higher signal harmonics, LISA's angular resolution, and dark energy

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    It is generally believed that the angular resolution of the Laser Interferometer Space Antenna (LISA) for binary supermassive black holes (SMBH) will not be good enough to identify the host galaxy or galaxy cluster. This conclusion, based on using only the dominant harmonic of the binary SMBH signal, changes substantially when higher signal harmonics are included in assessing the parameter estimation problem. We show that in a subset of the source parameter space the angular resolution increases by more than a factor of 10, thereby making it possible for LISA to identify the host galaxy/galaxy cluster. Thus, LISA's observation of certain binary SMBH coalescence events could constrain the dark energy equation of state to within a few percent, comparable to the level expected from other dark energy missions.Comment: 15 pages, no figures. Final version to appear in Phys. Rev.

    High magnetoresistance at room temperature in p-i-n graphene nanoribbons due to band-to-band tunneling effects

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    A large magnetoresistance effect is obtained at room-temperature by using p-i-n armchair-graphene-nanoribbon (GNR) heterostructures. The key advantage is the virtual elimination of thermal currents due to the presence of band gaps in the contacts. The current at B=0T is greatly decreased while the current at B>0T is relatively large due to the band-to-band tunneling effects, resulting in a high magnetoresistance ratio, even at room-temperature. Moreover, we explore the effects of edge-roughness, length, and width of GNR channels on device performance. An increase in edge-roughness and channel length enhances the magnetoresistance ratio while increased channel width can reduce the operating bias.Comment: http://dx.doi.org/10.1063/1.362445

    The transient response of global-mean precipitation to increasing carbon dioxide levels

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    The transient response of global-mean precipitation to an increase in atmospheric carbon dioxide levels of 1% yr(-1) is investigated in 13 fully coupled atmosphere-ocean general circulation models (AOGCMs) and compared to a period of stabilization. During the period of stabilization, when carbon dioxide levels are held constant at twice their unperturbed level and the climate left to warm, precipitation increases at a rate of similar to 2.4% per unit of global-mean surface-air-temperature change in the AOGCMs. However, when carbon dioxide levels are increasing, precipitation increases at a smaller rate of similar to 1.5% per unit of global-mean surface-air-temperature change. This difference can be understood by decomposing the precipitation response into an increase from the response to the global surface-temperature increase (and the climate feedbacks it induces), and a fast atmospheric response to the carbon dioxide radiative forcing that acts to decrease precipitation. According to the multi-model mean, stabilizing atmospheric levels of carbon dioxide would lead to a greater rate of precipitation change per unit of global surface-temperature change

    On the apllication of single specie dynamic population model

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    The Method of mathematical models of Malthus and Verhults were applied on ten years data collected from Magaram Poultry Farm to determine the nature of population growth, population decay or constant growth in a Poultry Farm, and independent t-test as well as one way Anova  were used to compare the predicted values and observed values in order to find out whether there is significant difference between the observed and predicted values using these two models.Keywords: Birth rate, sustainable population, overcrowding, harvesting, independent t-test and one way Anova
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