The SEMPARIS seminar webserver hosts annoucements of all seminars taking place in Paris area, in all topics of physics, mathematics and computer science. It allows registered users to receive a selection of announcements by email on a daily or weekly basis, and offers the possibility to archive PDF or Powerpoint files, making it available to the scientific community.   [ More information ]

 Upcoming Seminars [Next 30 ] [ scheduler view ]

 Wednesday 25 April 2018, 10:30 at IHES, Amphithéâtre Léon Motchane ( Cours de l'IHES ) MATH-IHES (TBA) hep-th Francis Brown ( All Souls College, Oxford & IHES ) Mixed Modular Motives and Modular Forms for SL_2(\Z) (4/4) Abstract: In the Esquisse d'un programme', Grothendieck proposed studying the action of the absolute Galois group upon the system of profinite fundamental groups of moduli spaces of curves of genus g with n marked points. Around 1990, Ihara, Drinfeld and Deligne independently initiated the study of the unipotent completion of the fundamental group of the projective line with 3 points. It is now known to be motivic by Deligne-Goncharov and generates the category of mixed Tate motives over the integers. It is closely related to many classical objects such as polylogarithms and multiple zeta values, and has a wide range of applications from number theory to physics. In the first, geometric, half of this lecture series I will explain how to extend this theory to genus one (which generates the theory in all higher genera). The unipotent fundamental groupoid must be replaced with a notion of relative completion, studied by Hain, which defines an extremely rich system of mixed Hodge structures built out of modular forms. It is closely related to Manin's iterated Eichler integrals, the universal mixed elliptic motives of Hain and Matsumoto, and the elliptic polylogarithms of Beilinson and Levin. The question that I wish to confront is whether relative completion stands a chance of generating all mixed modular motives or not. This is equivalent to studying the action of a motivic' Galois group upon it, and the question of geometrically constructing all generalised Rankin-Selberg extensions. In the second, elementary, half of these lectures, which will be mostly independent from the first, I will explain how the relative completion has a realisation in a new class of non-holomorphic modular forms which correspond in a certain sense to mixed motives. These functions are elementary power series in $q$ and $\overline{q}$ and $\log |q|$ whose coefficients are periods. They are closely related to the theory of modular graph functions in string theory and also intersect with the theory of mock modular forms.

 Wednesday 25 April 2018, 11:30 at IPN, Bâtiment 100, Salle A015 (  ) IPN-THEO (Séminaire du groupe de physique théorique de l'IPN Orsay) nucl-th Francesco Pederiva ( Physics Department, University of Trento and INFN-TIFPA ) Pion-full Effective Field Theory in Nuclear Physics with Quantum Monte Carlo methods Abstract: Effective field Theory (EFT) has become the standard protocol in the treatment of the nucleon-nucleon interaction. In this talk I will show some recent progress that we have made in a direction that slightly differs from the standard use of chiral-EFT to produce potentials employed in few- or many- body calculations. Starting from the EFT Lagrangian, and passing through the Schroedinger representation, it is possible to reshape the theory in terms of non-relativistic nucleons coupled to relativistic dynamical pions that occupy momentum-labelled modes in a finite periodic box. We then managed to set up an efficient Quantum Monte Carlo framework to make use of this formulation[1]. Some results on the properties of a single nucleon and of the deuteron will be shown. [1] Lucas Madera, Alessandro Lovato, FP, Kevin E. Schmidt, arXiv:1803.10725 Attachments: 2018_04_25_F_Pederiva.pdf (208437 bytes)

 Wednesday 25 April 2018, 14:15 at IPHT, Salle Claude Itzykson, Bât. 774 IPHT-MAT (Séminaire de matrices, cordes et géométries aléatoires) hep-th Adam Bzowski ( IPhT ) Conformal field theory in momentum space Abstract: I will present the momentum space approach to correlation functions in CFTs based on [1304.7760] and subsequent papers. These techniques lead to simple derivations and representations of conformal 3-point functions. Furthermore, I will show how they can be used to elucidate the structure of anomalies and beta functions.

 Wednesday 25 April 2018, 14:30 at IHES, Amphithéâtre Léon Motchane ( Séminaire Géométrie et groupes discrets ) MATH-IHES (TBA) hep-th Jean-François Quint ( CNRS & Université de Bordeaux ) Complementary series Abstract: > Complementary series are families of unitary representations of certain semisimple Lie groups and of groups of automorphisms of homogeneous trees. I wil recall their definition for semisimple groups and explain how to prove their existence for groups of automorphisms of trees by a method which allows to extend this construction in order to build new representations of free groups.

 Wednesday 25 April 2018, 16:30 at IHES, Amphithéâtre Léon Motchane MATH-IHES (TBA) hep-th Daniele Alessandrini ( Universität Heidelberg ) Domains of discontinuity for (quasi-)Hitchin representations Abstract: Among representations of surface groups into Lie groups, the Anosov representations are the ones with the nicest dynamical properties. Guichard-Wienhard and Kapovich-Leeb-Porti have shown that their actions on generalized flag manifolds often admit co-compact domains of discontinuity, whose quotients are closed manifolds carrying interesting geometric structures. Dumas and Sanders studied the topology and the geometry of the quotient in the case of quasi-Hitchin representations (Anosov representations which are deformations of Hitchin representations). In a conjecture they ask whether these manifolds are homeomorphic to fiber bundles over the surface. In joint work with Qiongling Li, we can prove that the conjecture is true for (quasi-)Hitchin representations in SL(n,R) and SL(n,C), acting on projective spaces and partial flag manifolds parametrizing points and hyperplanes.

 Thursday 26 April 2018, 16:00 at LPT, 114 LPT-PTH (Particle Theory Seminar of LPT Orsay) hep-ph Ubirajara Van Kolck ( Institut de Physique Nucleaire d'Orsay ) Time-Reversal Violation in Light of Light Nuclei Abstract: One of the elements needed to understand the observed matter-antimatter asymmetry of the universe is violation of time reversal (T). T violation can arise in the Standard Model through operators of dimension four or higher, and generate electric dipole moments of the neutron and light nuclei. I will argue that potential measurements of these EDMs could pinpoint the mechanism(s) of T violation of dimension up to six involving quarks and gluons.

 Wednesday 2 May 2018, 11:00 at LPTMS, Salle Balmer, Laboratoire Aimé Cotton LPTMS (Séminaire du Laboratoire de Physique Théorique et Modèles Statistiques (Orsay)) physics.bio-ph Quan Li ( Chinese University of Hong Kong, China ) Nanodiamond based quantum sensors for biological applications Abstract: Nanodiamond (ND) with Nitrogen-vacancy (NV) centers serves as promising bio-sensor due to its excellent bio-compatibility, high photo-stability, and the long spin coherence time at room temperature. However, the complicated biological environment, e.g. in a single cell, imposes stringent requirements on the sensor probes to be internalized. In this talk, I will discuss the requirements on nanodiamond as intra-cellular sensor, and the possible strategies that will enable various bio-sensing measurements. I will start with the understanding of nanodiamond-cell interfaces, from anchoring of ND on the plasma membrane to their internalization, and eventually to their intracellular trafficking. Other than the conventional three-dimensional trajectories tracking of the ND, it is also possible to track their orientations (rotation), providing additional information of the intracellular environment. One problem with NV based bio-sensing is that the NV center is less sensitive to certain parameters such as temperature and pressure, and not at all response to many other important biochemical parameters such as pH and non-magnetic biomolecules. I will also discuss possible schemes of constructing nanodiamond based hybrid sensors, which lead to significantly enhanced sensitivity and/or potentially enable the measurement of various biochemical parameters using NV based quantum sensing.

 Wednesday 2 May 2018, 12:00 at LPTM, MIR Neuville 1 rue Descartes, 95000 Neuville-sur-Oise. ( cf: https://iea.u-cergy.fr/fr/manifestations/materiaux-magnetocaloriques.html ) WORK-CONF (Workshop or Conference) cond-mat Andreas Honecker (organisateur) ( LPTM Cergy UCP-CNRS ) New perspectives for low-temperature refrigeration with advanced magnetocaloric materials Abstract: Il existe actuellement plusieurs raisons pour faire revivre la réfrigération magnétique. D’une part elle reste la méthode préférée pour les applications dans l'espace et elle figure parmi les options pour la réfrigération des aimants supraconducteurs du Futur Collisionneur Circulaire. D'autre part il existe des idées pour améliorer les réfrigérants magnétiques en utilisant les effets coopératifs, comme p.-ex. les transitions de phase quantiques induites par un champ magnétique et la frustration géométrique. L’objectif de l'atelier est de proposer une rencontre d'experts français et européens afin d’identifier les perspectives pour des recherches et des applications futures à l'échelle européenne et surtout pour la communauté française.

 Thursday 3 May 2018, 14:00 at LPTM, 4.13 St Martin II SEM-LPTM-UCP (Seminaires du LPTM , Universite de Cergy Pontoise) math-ph Sanjay Ramassamy ( Unité de Mathématiques Pures et Appliquées, École normale supérieure de Lyon ) Graphes de Barak-Erdös et modèle infini d'urnes Abstract: Les graphes de Barak-Erdös sont une version orientée acyclique des graphes aléatoires d'Erdös-Rényi : l'ensemble des sommets est {1,...,n} et pour tout i0 et dérivable une fois mais pas deux en p=0. Nous verrons également que les coefficients du développement en série entière de C(p) autour de p=1 sont entiers, suggérant que C(p) est la fonction génératrice d'une classe d'objets combinatoires.

 Friday 4 May 2018, 10:00 at IPHT, Salle Claude Itzykson, Bât. 774 ( https://courses.ipht.cnrs.fr/?q=fr/node/197 ) COURS (Cours) cond-mat|q-bio Rémi Monasson ( ENS Paris ) Unsupervised neural networks: from theory to systems biology (1/6) Abstract: Artificial neural networks, introduced decades ago, are now key tools for automatic learning from data. This series of six lectures will focus on a few neural network architectures used in the context of unsupervised learning, that is, of unlabeled data. \par In particular we will focus on dimensional reduction, feature extraction, and representation building. We will see how statistical physics, in particular the techniques and concepts of random matrix theory and disordered systems, can be used to understand the properties of these algorithms and the phase transitions taking place in their operation. \par Special attention will be devoted to the so-called high-dimensional inference setting, where the numbers of data samples and of defining parameters of the neural nets are comparable. The general principles will be illustrated on recent applications to data coming from neuroscience and genomics, highlighting the potentialities of unsupervised learning for biology. \par Some issues: \\ - What is unsupervised learning? \\ - Hebbian learning for principal component analysis: retarded-learning phase transition and prior information. \\ - Bipartite neural nets and representations: auto-encoders, restricted Boltzmann machines, Boltzmann machines. \\ - Recurrent neural nets: from point to finite-dimensional attractors, temporal sequences. Attachments: 2017-2018.pdf (4503344 bytes) 2018_Monasson.pdf (4507514 bytes)

 Friday 4 May 2018, 14:00 at LPTHE, Library P^3 (Particle Physics in Paris) hep-ph Juan García-Bellido ( IFT-Madrid and CERN ) Signatures of Primordial Black Holes as Dark Matter Abstract: More than twenty one years ago, we predicted that massive primordial black holes (PBH) would form via the gravitational collapse of radiation and matter associated with high peaks in the spectrum of curvature fluctuations, and that they could constitute all of the dark matter today. In 2015, we predicted the clustering and mass distribution of PBH, which peaks at several Msun, and whose high-mass tails could be responsible for the seeds of all galaxies. Since then, LIGO has detected gravitational waves from at least five merger events of very massive black hole binaries. We propose that they are PBH, and predict that within a few years a less than one solar mass PBH will be detected by AdvLIGO-VIRGO, and that in 10 years, an array of GW detectors (i.e. LIGO, VIRGO, KAGRA, INDIGO, etc.) could be used to determine the mass and spin distribution of PBH dark matter with 10% accuracy. Thus, gravitational wave astronomy could be responsible for a new paradigm shift in the understanding of the nature of dark matter.

 Monday 7 May 2018, 11:00 at IPHT, Salle Claude Itzykson, Bât. 774 IPHT-PHM (Séminaire de physique mathématique) math-ph Olivier Babelon ( LPTHE ) The Toda-2 and q-Toda chains. Baxter operator and Bethe equations Abstract: I will show that a discretization of Virasoro algebra naturally leads to an integrable system which is the Toda chain in the second Hamiltonian structure. After quantization we obtain a q-deformation of the Toda chain which is different from the standard q-Toda chain. I will present a modular invariant Baxter operator. I will sketch the solution of Baxter equation through the Non Linear Integral Equation technique, yielding modular invariant Bethe equations.

 Wednesday 9 May 2018, 10:30 at IHES, Centre de conférences Marilyn et James Simons ( Séminaire de Géométrie Arithmétique Paris-Pékin-Tokyo ) MATH-IHES (TBA) hep-th Sug Woo Shin ( Berkeley University ) Endoscopy and cohomology of U(n-1,1) Abstract: We apply the endoscopic classification of automorphic representations for inner forms of unitary groups to bound the growth of cohomology in congruence towers of locally symmetric spaces associated with U(n-1,1). Our bound is sharper than the bound predicted by Sarnak-Xue for general locally symmetric spaces. This is joint work with Simon Marshall.

 Wednesday 9 May 2018, 11:30 at IHES, Amphithéâtre Léon Motchane ( Séminaire de Probabilités et de Physique Théorique (organisé par Hugo Duminil-Copin et Slava Rychkov) ) PT-IHES (Séminaire de physique théorique de l'IHES) hep-th Gordon Slade ( University of British Columbia & IHES ) Critical exponents for long-range O(n) models Abstract: We present results on the critical behaviour of long-range models of multi-component ferromagnetic spins and weakly self-avoiding walk in dimensions 1, 2, and 3. The range of the interaction is adjusted so that the models are below their upper critical dimension. Critical exponents are computed for the susceptibility, specific heat, and critical two-point function, using a renormalisation group method to perturb around a non-Gaussian fixed point. This provides a mathematically rigorous version of the epsilon expansion.

 Monday 14 May 2018, 10:45 at LPTMC, Jussieu, tower 13-12, 5th floor, room 5-23 SEM-LPTMC (Séminaire du Laboratoire de Physique Théorique de la Matière Condensée) cond-mat.mes-hall Mark/bernard Goerbig/plaçais ( LPS Orsay/LPA ENS ) Surface states in smooth topological heterojunctions/Observation of Volkov-Pankratov states in topological HgTe heterojunctions using RF compressibility

 Tuesday 15 May 2018, 10:00 at IPHT, Salle Claude Itzykson, Bât. 774 ( https://courses.ipht.cnrs.fr/?q=fr/node/197 ) COURS (Cours) cond-mat|q-bio Rémi Monasson ( ENS Paris ) Unsupervised neural networks: from theory to systems biology (2/6) Abstract: Artificial neural networks, introduced decades ago, are now key tools for automatic learning from data. This series of six lectures will focus on a few neural network architectures used in the context of unsupervised learning, that is, of unlabeled data. \par In particular we will focus on dimensional reduction, feature extraction, and representation building. We will see how statistical physics, in particular the techniques and concepts of random matrix theory and disordered systems, can be used to understand the properties of these algorithms and the phase transitions taking place in their operation. \par Special attention will be devoted to the so-called high-dimensional inference setting, where the numbers of data samples and of defining parameters of the neural nets are comparable. The general principles will be illustrated on recent applications to data coming from neuroscience and genomics, highlighting the potentialities of unsupervised learning for biology. \par Some issues: \\ - What is unsupervised learning? \\ - Hebbian learning for principal component analysis: retarded-learning phase transition and prior information. \\ - Bipartite neural nets and representations: auto-encoders, restricted Boltzmann machines, Boltzmann machines. \\ - Recurrent neural nets: from point to finite-dimensional attractors, temporal sequences. Attachments: 2017-2018.pdf (4503344 bytes) 2018_Monasson.pdf (4507514 bytes)

 Tuesday 15 May 2018, 11:30 at LPTENS, LPTENS library STR-LPT-ENS-HE (Séminaire commun LPTENS/LPTHE) hep-th Christian Saemann ( Heriot-Watt University at Edinburgh ) TBA Abstract: TBA

 Tuesday 15 May 2018, 17:15 at DPT-PHYS-ENS, Jean Jaures (29 rue d'Ulm) SEM-PHYS-ENS (Colloquium du Département de Physique de l'ENS) cond-mat Aleksandra Radenovic ( EPFL ) Nanopores in 2D materials Abstract: TBA

 Wednesday 16 May 2018, 14:15 at IPHT, Salle Claude Itzykson, Bât. 774 IPHT-MAT (Séminaire de matrices, cordes et géométries aléatoires) hep-th Mariana Graña ( IPhT ) A new twist on toroidal string compactifications Abstract: We will discuss toroidal compactifications of the bosonic and heterotic strings, focusing on the phenomenon of symmetry enhancement arising at self-dual points in moduli space. I will present the effective action describing the low energy effective theory close to the points of enhancement, obtained from string theory scattering amplitudes, show how symmetry breaking arises naturally as a Higgs mechanism, and show that this action can be obtained from a suitable (twisted) Sherk-Schwarz reduction of double field theory.

 Friday 18 May 2018, 10:00 at IPHT, Salle Claude Itzykson, Bât. 774 ( https://courses.ipht.cnrs.fr/?q=fr/node/197 ) COURS (Cours) cond-mat|q-bio Rémi Monasson ( ENS Paris ) Unsupervised neural networks: from theory to systems biology (3/6) Abstract: Artificial neural networks, introduced decades ago, are now key tools for automatic learning from data. This series of six lectures will focus on a few neural network architectures used in the context of unsupervised learning, that is, of unlabeled data. \par In particular we will focus on dimensional reduction, feature extraction, and representation building. We will see how statistical physics, in particular the techniques and concepts of random matrix theory and disordered systems, can be used to understand the properties of these algorithms and the phase transitions taking place in their operation. \par Special attention will be devoted to the so-called high-dimensional inference setting, where the numbers of data samples and of defining parameters of the neural nets are comparable. The general principles will be illustrated on recent applications to data coming from neuroscience and genomics, highlighting the potentialities of unsupervised learning for biology. \par Some issues: \\ - What is unsupervised learning? \\ - Hebbian learning for principal component analysis: retarded-learning phase transition and prior information. \\ - Bipartite neural nets and representations: auto-encoders, restricted Boltzmann machines, Boltzmann machines. \\ - Recurrent neural nets: from point to finite-dimensional attractors, temporal sequences. Attachments: 2017-2018.pdf (4503344 bytes) 2018_Monasson.pdf (4507514 bytes)

 Tuesday 22 May 2018, 11:00 at IPHT, Salle Claude Itzykson, Bât. 774 IPHT-GEN (Séminaire général du SPhT) physics Sid Redner (TBA)

 Tuesday 22 May 2018, 14:00 at APC, 483 A - Malevitch APC-TH (Seminar of the theory group of APC) hep-th Gerasimos Rigopoulos ( University of Newcastle ) TBA

 Wednesday 23 May 2018, 09:00 at LPTM, Maison internationale de la recherche, Neuville-sur-Oise. ( The aim of this conference is to contribute to the construction of new approaches to the study of complex problems in each of the involved disciplines. ) WORK-CONF (Workshop or Conference) cond-mat.dis-nn J. P . Nadal, Y. Moreno, H. Peyton Young, ... Transversal problems in complexity Abstract: Sessions: Complex Dynamics I/II: Evolutionary Game Theory, Population Dynamics applied to economic and biological systems. Complexity in social systems; Physical and Mathematical models of complex systems See: https://web.u-cergy.fr/complexity2018/

 Thursday 24 May 2018, 11:00 at LPTHE, bibliothèque SEM-DARBOUX (Séminaire Darboux - physique théorique et mathématiques) math|math.MP Frédéric Chapoton ( Strasbourg ) TBA

 Friday 25 May 2018, 10:00 at IPHT, Salle Claude Itzykson, Bât. 774 ( https://courses.ipht.cnrs.fr/?q=fr/node/197 ) COURS (Cours) cond-mat|q-bio Rémi Monasson ( ENS Paris ) Unsupervised neural networks: from theory to systems biology (4/6) Abstract: Artificial neural networks, introduced decades ago, are now key tools for automatic learning from data. This series of six lectures will focus on a few neural network architectures used in the context of unsupervised learning, that is, of unlabeled data. \par In particular we will focus on dimensional reduction, feature extraction, and representation building. We will see how statistical physics, in particular the techniques and concepts of random matrix theory and disordered systems, can be used to understand the properties of these algorithms and the phase transitions taking place in their operation. \par Special attention will be devoted to the so-called high-dimensional inference setting, where the numbers of data samples and of defining parameters of the neural nets are comparable. The general principles will be illustrated on recent applications to data coming from neuroscience and genomics, highlighting the potentialities of unsupervised learning for biology. \par Some issues: \\ - What is unsupervised learning? \\ - Hebbian learning for principal component analysis: retarded-learning phase transition and prior information. \\ - Bipartite neural nets and representations: auto-encoders, restricted Boltzmann machines, Boltzmann machines. \\ - Recurrent neural nets: from point to finite-dimensional attractors, temporal sequences. Attachments: 2017-2018.pdf (4503344 bytes) 2018_Monasson.pdf (4507514 bytes)

 Friday 25 May 2018, 11:00 at LPTHE, Bibliothèque SEM-LPTHE (Séminaire du LPTHE) cond-mat.stat-mech Bulbul Chakraborty ( Brandeis ) Fragile Matter: Stress Networks and Stability of Athermal Solids Abstract: In this talk, I will discuss a theoretical framework for understanding materials that are fragile. These are marginal solids or highly viscous liquids that emerge out of thermal equilibrium in response to external stresses. Granular materials and non-Brownian colloidal suspensions are well-known examples, however, reconfigurable pathways of force transmission also play an important role in biological systems. In granular materials, external forces such as gravity create rigid and flowing states. The mechanical integrity of these marginal solids is reliant on a filamentary network of stress-bearing structures. An outstanding question in the field has been how the constraints of vectorial force balance influence the response of granular assemblies to stress, and create localized stress pathways. I will present results of recent work showing that the localized response is a consequence of the disorder in the underlying contact network, and can be mapped on to a localization'' problem. I will also discuss an interpretive theory, based on statistical ensembles, of two transitions driven by frictional contacts: shear jamming and discontinuous shear thickening.

 Monday 28 May 2018, 10:45 at LPTMC, Jussieu, tower 13-12, 5th floor, room 5-23 SEM-LPTMC (Séminaire du Laboratoire de Physique Théorique de la Matière Condensée) cond-mat.mes-hall Mathieu Salanne ( Phénix (Jussieu) ) TBA

 Tuesday 29 May 2018, 11:30 at LPTENS, LPTENS library STR-LPT-ENS-HE (Séminaire commun LPTENS/LPTHE) hep-th Jun Nian ( IHES ) TBA Abstract: TBA

 Tuesday 29 May 2018, 14:00 at APC, 483 A - Malevitch APC-TH (Seminar of the theory group of APC) hep-th Cédric Deffayet ( IAP ) Galileon p-form theories Abstract: I will discuss the generalization to p-forms of the Galileon idea: to construct the most general theory of an (abelian gauge invariant) p-form with (strictly) second order field equations. Such theory have recently be fully classified for space-time dimension strictly smaller than 12. The covariantization of these theories will also be discussed.

 Tuesday 29 May 2018, 17:15 at DPT-PHYS-ENS, Jean Jaures (29 rue d'Ulm) SEM-PHYS-ENS (Colloquium du Département de Physique de l'ENS) physics.bio-ph William Bialek ( Princeton University ) Towards a renormalization group for networks of neurons Abstract: TBA

 seminars All Next Week This Week Today Tomorrow Upcoming Within a Week from series All ACFTA APC APC-COLLOQUIUM APC-TH BH-TOP BI-COSMO-IHP BI-SEM-IHP BIOPHYS-ENS BISEMINAIRE-MP CONDMAT-ENS CONDMAT-THEO COSMO-P6 COURS COURS-FED COURS-IPHT CPHT - PHDSEM CPHT PHYS MATH CPHT- BS CPHT-JOUR CPHT-LLR CPMC DISQUANT ESPCI-COLLOQUE ESPCI/PCT FCMP FORUM-ENS FOUNDPHYS GDT-MODSTO GQ GR-COSMO IDRIS-SEM IHP-ALG IHPSTRMATH IMJ-AA IMJ-AUT IMJ-CHE IMJ-EAA IMJ-REP IMP-MATH-PHYS INST-ETE IPHT-DAP IPHT-GEN IPHT-HEP IPHT-MAT IPHT-PHM IPHT-SEM IPHT-STA IPN-THEO IPN-X IPNO-DR JOUR-CLUB LP(N/T)HE LPA LPNHE LPS-MAGN LPS-MAT-MOL LPS-VULG LPS/ENS LPT-COSM LPT-GEN LPT-LPTMS LPT-MAG LPT-PHYSMATH LPT-PTH LPTENS-HE LPTHE-DOC LPTHE-PPH LPTMS LPT_STAT MAG-SUPRA MAT-COND-GEN MATH-IHES MECA-STAT MSC PART-PHYS PHEN-PART PHYS-ESPCI PLATEAU PMMH PT-IHES P^3 RENC-THEO RENORMALISATION S-LPTENS SAMM SCOPI SEM-BESSON SEM-CPHT SEM-CSNSM SEM-DARBOUX SEM-EXCEP SEM-FED SEM-GRECO SEM-IBPC SEM-ILP SEM-INFOR SEM-INSP SEM-LAL SEM-LKB SEM-LLR SEM-LPT SEM-LPTENS SEM-LPTHE SEM-LPTM-UCP SEM-LPTMC SEM-LPTMS SEM-LUTH SEM-PHYS-ENS SEM-PMMH SEM-POINCA SEM-UPR5 SOUTEN-HDR SOUTEN-TH SPEC-LARSIM SPEC-SEM STR-LPT-ENS-HE STR-LPTHE STRINT TH-JEUX TH-MAT-COND TRANSPORT TRI-SEMINAIRE WG-EXPTH-LPN/THE WORK-CONF at institute All APC CDF CITEU CPHT CSNSM CURIE DPT-PHYS-ENS ENPC ESPCI ESPCI/UPR5 GRETIA IAP IBPC IDRIS IHES IHP IM-JUSSIEU-PRG IMPMC INSP IPHT IPN LAL LARSIM LKB LLR LMPT LPA LPMA LPNHE LPNHE-GR-TH LPP LPS-ORSAY LPS/ENS LPT LPTENS LPTHE LPTM LPTMC LPTMS LUTH MSC OBSPARIS PCT/ESPCI PMMH SAMM SPEC UPMC in subject All CoRR -- Computing Research Repository CoRR.AI -- Artificial Intelligence CoRR.AR -- Architecture CoRR.CC -- Computational Complexity CoRR.CE -- Computational Engineering CoRR.CG -- Computational Geometry CoRR.CL -- Computation and Language CoRR.CR -- Cryptography and Security CoRR.CV -- Computer Vision and Pattern Recognition CoRR.CY -- Computers and Society CoRR.DB -- Databases CoRR.DC -- Distributed, Parallel, and Cluster Computing CoRR.DL -- Digital Libraries CoRR.DM -- Discrete Mathematics CoRR.DS -- Data Structures and Algorithms CoRR.GL -- General Literature CoRR.GR -- Graphics CoRR.GT -- Computer Science and Game Theory CoRR.HC -- Human-Computer Interaction CoRR.IR -- Information Retrieva CoRR.IT -- Information Theory CoRR.LG -- Learning CoRR.LO -- Logic in Computer Science CoRR.MA -- Multiagent Systems CoRR.MM -- Multimedia; CoRR.MS -- Mathematical Software CoRR.NA -- Numerical Analysis CoRR.NE -- Neural and Evolutionary Computing CoRR.NI -- Networking and Internet Architecture CoRR.OH -- Other CoRR.OS -- Operating Systems CoRR.PF -- Performance CoRR.PL -- Programming Languages CoRR.RO -- Robotics CoRR.SC -- Symbolic Computation CoRR.SD -- Sound CoRR.SE -- Software Engineering astro-ph -- Astrophysics cond-mat -- Condensed Matter cond-mat.dis-nn -- Disordered Sys. and Neural Networks cond-mat.mes-hall -- Mesoscopic Sys. and Q.Hall Effect cond-mat.mtrl-sci -- Materials Science cond-mat.other -- Other cond-mat.soft -- Soft Condensed Matter cond-mat.stat-mech -- Statistical Mechanics cond-mat.str-el -- Strongly Correlated Electrons cond-mat.supr-con -- Superconductivity gr-qc -- General Relativity and Quantum Cosmology hep-ex -- High Energy Physics - Experiment hep-lat -- High Energy Physics - Lattice hep-ph -- High Energy Physics - Phenomenology hep-th -- High Energy Physics - Theory math -- Mathematics math-ph -- Mathematical Physics math.AC -- Commutative Algebra math.AG -- Algebraic Geometry math.AP -- Analysis of PDEs math.AT -- Algebraic Topology math.CA -- Classical Analysis and ODEs math.CO -- Combinatorics math.CT -- Category Theory math.CV -- Complex Variables math.DG -- Differential Geometry math.DS -- Dynamical Systems math.FA -- Functional Analysis math.GM -- General Mathematics math.GN -- General Topology math.GR -- Group Theory math.GT -- Geometric Topology math.HO -- History and Overview math.KT -- K-Theory and Homology math.LO -- Logic math.MG -- Metric Geometry math.MP -- Mathematical Physics math.NA -- Numerical Analysis math.NT -- Number Theory math.OA -- Operator Algebras math.OC -- Optimization and Control math.PR -- Probability math.QA -- Quantum Algebra math.RA -- Rings and Algebras math.RT -- Representation Theory math.SG -- Symplectic Geometry math.SP -- Spectral Theory math.ST -- Statistics nlin -- Nonlinear Sciences nlin.AO -- Adaptation and Self-Organizing Systems nlin.CD -- Cellular Automata and Lattice Gases nlin.CG -- Chaotic Dynamics nlin.PS -- Exactly Solvable and Integrable Systems nlin.SI -- Pattern Formation and Solitons nucl-ex -- Nuclear Experiment nucl-th -- Nuclear Theory physics -- Physics physics.acc-ph -- Accelerator Physics physics.ao-ph -- Atmospheric and Oceanic Physics physics.atm-clus -- Atomic and Molecular Clusters physics.atom-ph -- Atomic Physics physics.bio-ph -- Biological Physics physics.chem-ph -- Chemical Physics physics.class-ph -- Classical Physics physics.comp-ph -- Computational Physics physics.data-an -- Data Analysis physics.ed-ph -- Physics Education physics.flu-dyn -- Fluid Dynamics physics.gen-ph -- General Physics physics.geo-ph -- Geophysics physics.hist-ph -- History of Physics physics.ins-det -- Instrumentation and Detectors physics.med-ph -- Medical Physics physics.optics -- Optics physics.plasm-ph -- Plasma Physics physics.pop-ph -- Popular Physics physics.soc-ph -- Physics and Society physics.space-ph -- Space Physics q-bio -- Quantitative Biology qbio.BM -- Biomolecules qbio.CB -- Cell Behavior qbio.GN -- Genomics qbio.MN -- Molecular Networks qbio.NC -- Neurons and Cognition qbio.OT -- Other qbio.PE -- Populations and Evolution qbio.QM -- Quantitative Methods qbio.SC -- Subcellular Processes; Tissues and Organs qbio.TO -- Tissues and Organs quant-ph -- Quantum Physics with field Speaker Title Abstract Subject matching

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