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Creators/Authors contains: "Pham, H."

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  1. ; ; ; ; ( , Journal of Physical Oceanography)
    Abstract Factors thought to influence deep cycle turbulence in the equatorial Pacific are examined statistically for their predictive capacity using a 13-year moored record that includes microstructure measurements of the turbulent kinetic energy dissipation rate. Wind stress and mean current shear are found to be most predictive of the dissipation rate. Those variables, together with the solar buoyancy flux and the diurnal mixed layer thickness, are combined to make a pair of useful parameterizations. The uncertainty in these predictions is typically 50% greater than the uncertainty in present-day in situ measurements. To illustrate the use of these parameterizations, the recordmore »of deep cycle turbulence, measured directly since 2005, is extended back to 1990 based on historical mooring data. The extended record is used to refine our understanding of the seasonal variation of deep cycle turbulence.« less
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  2. ; ; ; ; ( , 2021 IEEE 4th International Conference on Soft Robotics (RoboSoft))
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  3. ; ; ; ; ; ( , 2020 3rd IEEE International Conference on Soft Robotics (RoboSoft))
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  4. ; ; ; ( , 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),)
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  5. ; ; ( , Annals of mathematics)
    Accepted Manuscript Full Text Available
  6. ; ; ; ( , 2019 American Control Conference (ACC))
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  7. ; ; ; ; ; ( , 2019 International Conference on Robotics and Automation (ICRA))
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  8. ; ; ; ; ; ; ; ; ; ; et al ( , Progress of Theoretical and Experimental Physics)
    Abstract We report the results of the first joint observation of the KAGRA detector with GEO 600. KAGRA is a cryogenic and underground gravitational-wave detector consisting of a laser interferometer with 3 km arms, located in Kamioka, Gifu, Japan. GEO 600 is a British–German laser interferometer with 600 m arms, located near Hannover, Germany. GEO 600 and KAGRA performed a joint observing run from April 7 to 20, 2020. We present the results of the joint analysis of the GEO–KAGRA data for transient gravitational-wave signals, including the coalescence of neutron-star binaries and generic unmodeled transients. We also perform dedicated searches for binary coalescence signals and generic transientsmore »associated with gamma-ray burst events observed during the joint run. No gravitational-wave events were identified. We evaluate the minimum detectable amplitude for various types of transient signals and the spacetime volume for which the network is sensitive to binary neutron-star coalescences. We also place lower limits on the distances to the gamma-ray bursts analyzed based on the non-detection of an associated gravitational-wave signal for several signal models, including binary coalescences. These analyses demonstrate the feasibility and utility of KAGRA as a member of the global gravitational-wave detector network.« less
    Free, publicly-accessible full text available June 1, 2023
  9. ; ; ; ; ; ; ; ; ; ; et al ( , Physical Review D)
    Free, publicly-accessible full text available May 1, 2023
  10. ; ; ; ; ; ; ; ; ( , Journal of Evolutionary Biology)
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