127 citations
- Argonne National LaboratoryUS1 paper
- Boston UniversityUS1 paper
- Brookhaven National LaboratoryUS1 paper
- California Institute of TechnologyUS1 paper
- Center for Astrophysics Harvard & SmithsonianUS1 paper
- CitigroupUS1 paper
- Fraunhofer Institute for Telecommunications, Heinrich Hertz InstituteDE1 paper
- Ghent University HospitalBE1 paper
- Griffith UniversityAU1 paper
- Imperial College LondonGB1 paper
- Johns Hopkins UniversityUS1 paper
- Lawrence Berkeley National LaboratoryUS1 paper
12 papers
Quantitative Spectroscopy of Supernovae for Dark Energy Studies
E. Baron, David Branch, David Jeffery +6
Detailed quantitative spectroscopy of Type Ia supernovae (SNe~Ia) provides crucial information needed to minimize systematic effects in both ongoing SNe Ia observational programs s…
Access Interfaces for Open Archival Information Systems based on the OAI-PMH and the OpenURL Framework for Context-Sensitive Services
Jeroen Bekaert, Herbert Van de Sompel
In recent years, a variety of digital repository and archival systems have been developed and adopted. All of these systems aim at hosting a variety of compound digital assets and…
2D Ferromagnetism in the High-Tc Analogue Cs_2AgF_4
S. E. McLain, D. A. Tennant, J. F. C. Turner +5
Although the precise mechanism of high-Tc superconductivity in the layered cuprates remains unknown, it is generally thought that strong 2D Heisenberg antiferromagnetism combined w…
Feedback cooling of atomic motion in cavity QED
Daniel A. Steck, Kurt Jacobs, Hideo Mabuchi +2
We consider the problem of controlling the motion of an atom trapped in an optical cavity using continuous feedback. In order to realize such a scheme experimentally, one must be a…
Iterative Algorithm for Finding Frequent Patterns in Transactional Databases
Gennady P. Berman, Vyacheslav N. Gorshkov, Edward P. MacKerrow +1
A high-performance algorithm for searching for frequent patterns (FPs) in transactional databases is presented. The search for FPs is carried out by using an iterative sieve algori…
Rank Statistics in Biological Evolution
E. Ben-Naim, P. L. Krapivsky
We present a statistical analysis of biological evolution processes. Specifically, we study the stochastic replication-mutation-death model where the population of a species may gr…