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Institution

Pierre-and-Marie-Curie University

EducationParis, France
About: Pierre-and-Marie-Curie University is a education organization based out in Paris, France. It is known for research contribution in the topics: Population & Raman spectroscopy. The organization has 34448 authors who have published 56139 publications receiving 2392398 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors present a scheme for the calculation of magnetic response parameters in insulators using ultrasoft pseudopotentials, which uses the gauge-including projector augmented wave method to obtain allelectron accuracy for both finite and infinitely periodic systems.
Abstract: We present a scheme for the calculation of magnetic response parameters in insulators using ultrasoft pseudopotentials. It uses the gauge-including projector augmented wave method [C. J. Pickard and F. Mauri, Phys. Rev. B 63, 245101 (2001)] to obtain all-electron accuracy for both finite and infinitely periodic systems. We consider in detail the calculation of NMR chemical shieldings. The approach is successfully validated first for molecular systems by comparing calculated chemical shieldings for a range of molecules with quantum chemistry results and then in the solid state by comparing $^{17}\mathrm{O}$ NMR parameters calculated for silicates with experiment.

804 citations

Journal ArticleDOI
TL;DR: The most recent data release from the Sloan Digital Sky Surveys (SDSS-IV) is DR16 as mentioned in this paper, which is the fourth and penultimate from the fourth phase of the survey.
Abstract: This paper documents the sixteenth data release (DR16) from the Sloan Digital Sky Surveys; the fourth and penultimate from the fourth phase (SDSS-IV). This is the first release of data from the southern hemisphere survey of the Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2); new data from APOGEE-2 North are also included. DR16 is also notable as the final data release for the main cosmological program of the Extended Baryon Oscillation Spectroscopic Survey (eBOSS), and all raw and reduced spectra from that project are released here. DR16 also includes all the data from the Time Domain Spectroscopic Survey (TDSS) and new data from the SPectroscopic IDentification of ERosita Survey (SPIDERS) programs, both of which were co-observed on eBOSS plates. DR16 has no new data from the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey (or the MaNGA Stellar Library "MaStar"). We also preview future SDSS-V operations (due to start in 2020), and summarize plans for the final SDSS-IV data release (DR17).

803 citations

Journal ArticleDOI
TL;DR: Methods based on the use of explicitly predefined signal features: the signal's amplitude envelope, spectral magnitudes and phases, time-frequency representations, and methods based on probabilistic signal models are discussed.
Abstract: Note onset detection and localization is useful in a number of analysis and indexing techniques for musical signals. The usual way to detect onsets is to look for "transient" regions in the signal, a notion that leads to many definitions: a sudden burst of energy, a change in the short-time spectrum of the signal or in the statistical properties, etc. The goal of this paper is to review, categorize, and compare some of the most commonly used techniques for onset detection, and to present possible enhancements. We discuss methods based on the use of explicitly predefined signal features: the signal's amplitude envelope, spectral magnitudes and phases, time-frequency representations; and methods based on probabilistic signal models: model-based change point detection, surprise signals, etc. Using a choice of test cases, we provide some guidelines for choosing the appropriate method for a given application.

802 citations

Journal ArticleDOI
T. Aoyama1, Nils Asmussen2, M. Benayoun3, Johan Bijnens4  +146 moreInstitutions (64)
TL;DR: The current status of the Standard Model calculation of the anomalous magnetic moment of the muon is reviewed in this paper, where the authors present a detailed account of recent efforts to improve the calculation of these two contributions with either a data-driven, dispersive approach, or a first-principle, lattice approach.

801 citations


Authors

Showing all 34671 results

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
Guido Kroemer2361404246571
Krzysztof Matyjaszewski1691431128585
J. E. Brau1621949157675
E. Hivon147403118440
Kazuhiko Hara1411956107697
Simon Prunet14143496314
H. J. McCracken14057971091
G. Calderini1391734102408
Stefano Giagu1391651101569
Jean-Paul Kneib13880589287
G. Marchiori137159094277
J. Ocariz136156295905
Jean-Marie Tarascon136853137673
Alexis Brice13587083466
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
202370
2022361
2021388
2020580
2019855