Yann Le Du

Chimie ParisTech, LCMCP, Faculty Member

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Omri Gillath

University of Kansas

Ana Peraica

Danube University Krems

Salvador Gezan

University of Florida

Stefan Frank

Radboud University Nijmegen

Christian Horn

University of Gothenburg

Eric Antonelo

Université du Luxembourg

Rafael Pinto

Instituto Federal do Rio Grande do Sul

Manlio Vinciguerra

University College London

Benjamin Zendel

Memorial University of Newfoundland

Luca Martino

University of Helsinki

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Papers by Yann Le Du

AGAPE: recherche de mati ere noire par e et de microlentille sur les etoiles non r esolues du bulbe de la galaxie M31 d'Androm ede

AGAPE: L'effet de microlentille gravitationnelle pour la recherche de matière noire sous forme de MACHOs en direction de la galaxie M31

Dans cette thèse, je montre que la méthode originale développée par la collaboration AGAPE, la «m... more

Analysis of hyperfine structure of Rare‐Earth Ions in Single Crystals by Electron Paramagnetic Resonance Spectroscopy

Spectroscopy Letters, Jan 1, 2007

Abstract Electron paramagnetic spectroscopy of rare‐earth ions in single crystals is an interesti... more

Optical Coherent Manipulation of a Spin Wave in Tm: YAG

… Electronics and Laser …

Nuclear spin states are optically characterized in thulium-doped YAG. Thulium is considered as a ... more

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Lightcurve classification in massive variability surveys

Arxiv preprint astro-ph/0211121, Jan 1, 2002

This paper exploits neural networks to provide a fast and automatic way to classify lightcurves i... more This paper exploits neural networks to provide a fast and automatic way to classify lightcurves in massive photometric datasets. As an example, we provide a working neural network that can distinguish microlensing lightcurves from other forms of variability, such as eruptive, pulsating, cataclysmic and eclipsing variable stars. The network has five input neurons, a hidden layer of five neurons and one output neuron. The five input variables for the network are extracted by spectral analysis from the lightcurve datapoints and are optimised for the identification of a single, symmetric, microlensing bump. The output of the network is the posterior probability of microlensing.

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Closed source versus open source in a model of software bug dynamics

Arxiv preprint cond-mat/0306511, Jan 1, 2003

We introduce a simple microscopic description of software bug dynamics where users, programmers a... more We introduce a simple microscopic description of software bug dynamics where users, programmers and a maintainer interact through a given program, with a particular emphasis on bug creation, detection and fixing. When the program is written from scratch, the first phase of development is characterized by a fast decline of the number of bugs, followed by a slow phase where most bugs have been fixed, hence, are hard to find. Releasing immediately bug fixes speeds up the debugging process, which substantiates bazaar open-source methodology. We provide a mathematical analysis that supports our numerical simulations. Finally, we apply our model to Linux history and determine the existence of a lower bound to the quality of its programmers.

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$Research paper thumbnail of Optical excitation of nuclear spin coherence in a Tm^{3+}: YAG crystal$

Optical excitation of nuclear spin coherence in a Tm^{3+}: YAG crystal

Physical Review B, Jan 1, 2008

A thulium-doped crystal is experimentally shown to be an excellent candidate for broadband quantu... more A thulium-doped crystal is experimentally shown to be an excellent candidate for broadband quantum storage in a solid-state medium. For the first time, nuclear spin coherence is optically excited, detected and characterized in such a crystal. The lifetime of the spin coherence -the potential storage entity -is measured by means of Raman echo to be about 300 µs over a wide range of ground state splittings. This flexibility, attractive for broadband operation, and well fitted to existing quantum sources, results from the simple hyperfine structure, contrasting with Pr-and Eu-doped crystals.

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Light‐curve classification in massive variability surveysII. Transients towards the Large Magellanic Cloud

Monthly Notices of the …, Jan 1, 2004

Automatic classification of variability is now possible with tools like neural networks. Here, we... more Automatic classification of variability is now possible with tools like neural networks. Here, we present two neural networks for the identification of microlensing events -the first discriminates against variable stars and the second against supernovae. The inputs to the networks include parameters describing the shape and the size of the lightcurve, together with colour of the event. The network computes the posterior probability of microlensing, together with an estimate of the likely error. An algorithm is devised for direct calculation of the microlensing rate from the output of the neural networks. We present a new analysis of the microlensing candidates towards the Large Magellanic Cloud (LMC). The neural networks confirm the microlensing nature of only 7 of the possible 17 events identified by the MACHO experiment. This suggests that earlier estimates of the microlensing optical depth towards the LMC may have been overestimated. A smaller number of events is consistent with the assumption that all the microlensing events are caused by the known stellar populations in the outer Galaxy/LMC.

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Light‐curve classification in massive variability surveysI. Microlensing

Monthly Notices of the Royal …, Jan 1, 2003

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AGAPE: recherche de mati ere noire par e et de microlentille sur les etoiles non r esolues du bulbe de la galaxie M31 d'Androm ede

AGAPE: L'effet de microlentille gravitationnelle pour la recherche de matière noire sous forme de MACHOs en direction de la galaxie M31

Dans cette thèse, je montre que la méthode originale développée par la collaboration AGAPE, la «m... more

Analysis of hyperfine structure of Rare‐Earth Ions in Single Crystals by Electron Paramagnetic Resonance Spectroscopy

Spectroscopy Letters, Jan 1, 2007

Abstract Electron paramagnetic spectroscopy of rare‐earth ions in single crystals is an interesti... more

Optical Coherent Manipulation of a Spin Wave in Tm: YAG

… Electronics and Laser …

Nuclear spin states are optically characterized in thulium-doped YAG. Thulium is considered as a ... more

Download

Lightcurve classification in massive variability surveys

Arxiv preprint astro-ph/0211121, Jan 1, 2002

Download

Closed source versus open source in a model of software bug dynamics

Arxiv preprint cond-mat/0306511, Jan 1, 2003

Download

$Research paper thumbnail of Optical excitation of nuclear spin coherence in a Tm^{3+}: YAG crystal$

Optical excitation of nuclear spin coherence in a Tm^{3+}: YAG crystal

Physical Review B, Jan 1, 2008

Download

Light‐curve classification in massive variability surveysII. Transients towards the Large Magellanic Cloud

Monthly Notices of the …, Jan 1, 2004

Download

Light‐curve classification in massive variability surveysI. Microlensing

Monthly Notices of the Royal …, Jan 1, 2003

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