822 citations
- New York UniversityUS13 papers
- Max Planck Institute for AstronomyDE11 papers
- University of California, BerkeleyUS9 papers
- Princeton UniversityUS7 papers
- Center for Astrophysics Harvard & SmithsonianUS5 papers
- Columbia UniversityUS5 papers
- University of CambridgeGB5 papers
- University of WarwickGB5 papers
- University of WashingtonUS5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Heidelberg UniversityDE4 papers
- Kavli Institute for the Physics and Mathematics of the UniverseJP4 papers
9 papers · 1 filter
Optimal Scheduling in the Multiserver-job Model under Heavy Traffic
Isaac Grosof, Ziv Scully, Mor Harchol-Balter +1
Multiserver-job systems, where jobs require concurrent service at many servers, occur widely in practice. Essentially all of the theoretical work on multiserver-job systems focuses…
A Concise Treatise on Converting Stellar Mass Fractions to Abundances to Molar Ratios
Natalie R. Hinkel, Patrick A. Young, Caleb H. Wheeler
Understanding stellar composition is fundamental not only to our comprehension of the galaxy, especially chemical evolution, but it can also shed light on the interior structure an…
Mode Mixing and Rotational Splittings: I. Near-Degeneracy Effects Revisited
J. M. Joel Ong, Lisa Bugnet, Sarbani Basu
Rotation is typically assumed to induce strictly symmetric rotational splitting into the rotational multiplets of pure p- and g-modes. However, for evolved stars exhibiting mixed m…
Magnetic signatures on mixed-mode frequencies. II. Period spacings as a probe of the internal magnetism of red giants
L. Bugnet
Theoretical works have looked into the various topologies and amplitudes, as well as the stability of the magnetic field that is expected to be present in the radiative interior of…
Preparing Many Copies of a Quantum State in the Black-Box Model
Yassine Hamoudi
We describe a simple quantum algorithm for preparing copies of an -dimensional quantum state whose amplitudes are given by a quantum oracle. Our result extends a previous wo…
Machine Learning and Cosmology
Cora Dvorkin, Siddharth Mishra-Sharma, Brian Nord +8
Methods based on machine learning have recently made substantial inroads in many corners of cosmology. Through this process, new computational tools, new perspectives on data colle…