228 citations
- University of California, Los AngelesUS24 papers
- California Institute of TechnologyUS9 papers
- University of California, BerkeleyUS9 papers
- Princeton UniversityUS8 papers
- Berkeley CollegeUS6 papers
- Johns Hopkins UniversityUS5 papers
- Tel Aviv UniversityIL5 papers
- CEA Paris-SaclayFR4 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR4 papers
- Cornell UniversityUS4 papers
- ETH ZurichCH4 papers
- European Organization for Nuclear ResearchCH4 papers
8 papers · 1 filter
Antiferromagnetic order in Ca(PtAs)(FeAs) observed by As NMR
T. Zhou, G. Koutroulakis, J. Lodico +4
As nuclear magnetic resonance (NMR) measurements carried out on underdoped, non-superconducting Ca(PtAs)(FeAs) reveal physical properties that are…
Expanding polynomials over finite fields of large characteristic, and a regularity lemma for definable sets
Terence Tao
Let $P: \F \times \F \to \F$ be a polynomial of bounded degree over a finite field $\F$ of large characteristic. In this paper we establish the following dichotomy: either is a…
From the Closed Classical Algorithmic Universe to an Open World of Algorithmic Constellations
Mark Burgin, Gordana Dodig-Crnkovic
In this paper we analyze methodological and philosophical implications of algorithmic aspects of unconventional computation. At first, we describe how the classical algorithmic uni…
A measurement of the intrahalo light fraction with near-infrared background anisotropies
Asantha Cooray, Joseph Smidt, Francesco De Bernardis +9
Unresolved near-infrared background anisotropies are expected to have contributions from the earliest galaxies during reionization and faint, dwarf galaxies at intermediate redshif…
Fits to Light WIMPs
Graciela B. Gelmini
We review fits to "light WIMPs" since the region was first mentioned relative to the DAMA collaboration data in 2003 to the present, analyzing the compatibility of potential signal…
Modeling dependent gene expression
Donatello Telesca, Peter Müller, Giovanni Parmigiani +1
In this paper we propose a Bayesian approach for inference about dependence of high throughput gene expression. Our goals are to use prior knowledge about pathways to anchor infere…