1,009 research outputs found

    Quantifying black carbon deposition over the Greenland ice sheet from forest fires in Canada

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    Black carbon (BC) concentrations observed in 22 snowpits sampled in the northwest sector of the Greenland ice sheet in April 2014 have allowed us to identify a strong and widespread BC aerosol deposition event, which was dated to have accumulated in the pits from two snow storms between 27 July and 2 August 2013. This event comprises a significant portion (57% on average across all pits) of total BC deposition over 10 months (July 2013 to April 2014). Here we link this deposition event to forest fires burning in Canada during summer 2013 using modeling and remote sensing tools. Aerosols were detected by both the Cloud‐Aerosol Lidar with Orthogonal Polarization (on board CALIPSO) and Moderate Resolution Imaging Spectroradiometer (Aqua) instruments during transport between Canada and Greenland. We use high‐resolution regional chemical transport modeling (WRF‐Chem) combined with high‐resolution fire emissions (FINNv1.5) to study aerosol emissions, transport, and deposition during this event. The model captures the timing of the BC deposition event and shows that fires in Canada were the main source of deposited BC. However, the model underpredicts BC deposition compared to measurements at all sites by a factor of 2–100. Underprediction of modeled BC deposition originates from uncertainties in fire emissions and model treatment of wet removal of aerosols. Improvements in model descriptions of precipitation scavenging and emissions from wildfires are needed to correctly predict deposition, which is critical for determining the climate impacts of aerosols that originate from fires

    A Survey on Implementation of Homomorphic Encryption Scheme in Cloud based Medical Analytical System

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    The privacy of sensitive personal information is more and more important topic as a result of the increased availability of cloud services. These privacy issues arise due to the legitimate concern of a) having a security breach on these cloud servers or b) the leakage of this sensitive information due to an honest but curious individual at the cloud service provider. Standard encryption schemes try to address the ?rst concern by devising encryption schemes that are harder to break, yet they don’t solve the possible misuse of this sensitive data by the cloud service providers. Homomorphic encryption presents a tool that can solve both types of privacy concerns. The clients are given the possibility of encrypting their sensitive information before sending it to the cloud. The cloud will then compute over their encrypted data without the need for the decryption key. By using homomorphic encryption, servers guarantee to the clients that their valuable information to have no problems after being in a difficult situation.

    The electric dipole response of 76^{76}Se above 4 MeV

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    The dipole response of 3476^{76}_{34}Se in the energy range 4 to 9 MeV has been analyzed using a (γ,γ)(\vec\gamma,{\gamma}') polarized photon scattering technique, performed at the High Intensity γ\gamma-Ray Source facility, to complement previous work performed using unpolarized photons. The results of this work offer both an enhanced sensitivity scan of the dipole response and an unambiguous determination of the parities of the observed J=1 states. The dipole response is found to be dominated by E1E1 excitations, and can reasonably be attributed to a pygmy dipole resonance. Evidence is presented to suggest that a significant amount of directly unobserved excitation strength is present in the region, due to unobserved branching transitions in the decays of resonantly excited states. The dipole response of the region is underestimated when considering only ground state decay branches. We investigate the electric dipole response theoretically, performing calculations in a 3D cartesian-basis time-dependent Skyrme-Hartree-Fock framework.Comment: 20 pages, 18 figures, to be submitted to PR

    Two-body Photodisintegration of 3He Between 7 and 16 MeV

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    A comprehensive data set is reported for the two-body photodisintegration cross section of 3He using mono-energetic photon beams at eleven energies between 7.0 and 16.0 MeV. A 3He + Xe high-pressure gas scintillator served as target and detector. Although our data are in much better agreement with our state-of-the-art theoretical calculations than the majority of the previous data, these calculations underpredict the new data by about 10%. This disagreement suggests an incomplete understanding of the dynamics of the three-nucleon system and its response to electromagnetic probes

    Kr Isotopic Compositions in Stardust SiC grains and AGB Winds

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    Krypton (Kr) is a heavy noble gas that does not chemically react and hence does not condense into dust. However, it is found in trace amounts inside stardust silicon carbide (SiC) grains in meteorites, which are believed to have condensed in the C-rich envelopes of low-mass asymptotic giant branch (AGB) stars. The measured isotopic composition of Kr clearly reveals the signature of the s (slow neutron-capture) process. It is likely that Kr is ionised and implanted in stardust SiC grains via stellar winds in two different evolutionary phases: one during the AGB phase in small grains showing low 86Kr/82Kr, and another during the post-AGB phase in large grains showing high 86Kr/82Kr ratios. The low 86Kr/82Kr ratios observed in stardust SiC grains can be explained by model predictions of AGB winds. On the other hand, to explain the high 86Kr/82Kr ratios we need to look at the material in the winds of the post-AGB phase. We present Kr isotopic compositions predicted by s-process AGB-star models of different masses and metallicities, and compare them to data from stardust SiC grains. We find that to match the high 86Kr/82Kr ratios observed in the large grains, a proton ingestion during the thermal pulse (TP) may be required. We also find that the 84Kr(n,γ)85Kr neutron-capture cross section should to be lower than the current estimate in order for our models to match the pure s-process value
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