3k citations
- University of UtahUS22 papers
- Fermi National Accelerator LaboratoryUS18 papers
- Indiana University BloomingtonUS18 papers
- University of California, Los AngelesUS18 papers
- Center for Astrophysics Harvard & SmithsonianUS14 papers
- Iowa State UniversityUS13 papers
- Purdue University West LafayetteUS13 papers
- University of DelawareUS13 papers
- University of LeedsGB13 papers
- Argonne National LaboratoryUS12 papers
- Goddard Space Flight CenterUS12 papers
- Ollscoil na Gaillimhe – University of GalwayIE12 papers
23 papers · 1 filter
Neutral B mixing from 2+1 flavor lattice QCD
E. D. Freeland, C. M. Bouchard, C. Bernard +5
We present an update of the Fermilab-MILC Collaboration's calculation of hadronic matrix elements for B^0-\bar{B^0} mixing. This work is a more extended analysis than our recent pu…
Optimization of the Design of the Hard X-ray Polarimeter X-Calibur
Qingzhen Guo, Matthias Beilicke, Alfred Garson +3
We report on the optimization of the hard X-ray polarimeter X-Calibur for a high-altitude balloon-flight in the focal plane of the InFOCμS X-ray telescope from Fort Sumner (NM) in…
ZRT1 harbors an excess of nonsynonymous polymorphism and shows evidence of balancing selection in Saccharomyces cerevisiae
Elizabeth K. Engle, Justin C. Fay
Estimates of the fraction of nucleotide substitutions driven by positive selection vary widely across different species. Accounting for different estimates of positive selection ha…
Distributed Optimization via Adaptive Regularization for Large Problems with Separable Constraints
Elad Gilboa, Phani Chavali, Peng Yang +1
Many practical applications require solving an optimization over large and high-dimensional data sets, which makes these problems hard to solve and prohibitively time consuming. In…
Staggered Chiral Perturbation Theory for All-Staggered Heavy-Light Mesons
Javad Komijani, Claude Bernard
In HISQ simulations by the MILC and Fermilab Lattice collaborations, both the light quarks and the charm quark are staggered. We extend staggered chiral perturbation theory (\schpt…
Cost-Sensitive Tree of Classifiers
Zhixiang Xu, Matt J. Kusner, Kilian Q. Weinberger +1
Recently, machine learning algorithms have successfully entered large-scale real-world industrial applications (e.g. search engines and email spam filters). Here, the CPU cost duri…