Searches for Non-Newtonians Variations in the Earth's Gravity

  • Aiken C.
  • Ander M.
  • Backus G.
  • Chave A.
  • Cooper P.
  • Fisher E.
  • Gorman M.
  • Greer J.
  • Hammer P.
  • Hildebrand J.
  • Lautzenhiser T.
  • Nieto M.
  • Parker R.
  • Sasagawa G.
  • Sidles C.
  • Spiess F.
  • Stevenson J.
  • Wirtz J.
  • Zumberge M.

A series of experiments is underway to search for non-Newtonian behavior in the earth's gravity field. The objective is to measure the variation of gravity with depth in settings where the density of the surrounding material is known accurately. Gravity values were obtained to a depth of 1.7 km in the Greenland ice sheet during the summer of 1987, and measurements to a depth of 5 km in the Pacific Ocean were initiated in the summer of 1988. Descriptions of these experiments, their hoped-for accuracies, progress on analysis, and conclusions to date will be presented.

Recent Publications

August 09, 2017

A Cloud Native Approach to 5G Network Slicing

  • Francini A.
  • Miller R.
  • Sharma S.

5G networks will have to support a set of very diverse and often extreme requirements. Network slicing offers an effective way to unlock the full potential of 5G networks and meet those requirements on a shared network infrastructure. This paper presents a cloud native approach to network slicing. The cloud ...

August 01, 2017

Modeling and simulation of RSOA with a dual-electrode configuration

  • De Valicourt G.
  • Liu Z.
  • Violas M.
  • Wang H.
  • Wu Q.

Based on the physical model of a bulk reflective semiconductor optical amplifier (RSOA) used as a modulator in radio over fiber (RoF) links, the distributions of carrier density, signal photon density, and amplified spontaneous emission photon density are demonstrated. One of limits in the use of RSOA is the lower ...

July 12, 2017

PrivApprox: Privacy-Preserving Stream Analytics

  • Chen R.
  • Christof Fetzer
  • Le D.
  • Martin Beck
  • Pramod Bhatotia
  • Thorsten Strufe

How to preserve users' privacy while supporting high-utility analytics for low-latency stream processing? To answer this question: we describe the design, implementation and evaluation of PRIVAPPROX, a data analytics system for privacy-preserving stream processing. PRIVAPPROX provides three properties: (i) Privacy: zero-knowledge privacy (ezk) guarantees for users, a privacy bound tighter ...