Publisher’s Note: Search for ultrahigh energy neutrinos in highly inclined events at the Pierre Auger Observatory [Phys. Rev. D 84, 122005 (2011)]
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Rodríguez-Frías, M Ros, G Rosado, J Rossler, T Roth, M Rouillé-d’Orfeuil, B Roulet, E Rovero, A Rühle, C Saftoiu, A Salamida, F Salazar, H Greus, F Salina, G Sánchez, F Santo, C Santos, E Sarazin, F Sarkar, B Sarkar, S Sato, R Scharf, N Scherini, V Schieler, H Schiffer, P Schmidt, A Scholten, O Schoorlemmer, H Schovancova, J Schovánek, P Schröder, F Schulte, S Schuster, D Sciutto, S Scuderi, M Segreto, A Settimo, M Shadkam, A Shellard, R Sidelnik, I Sigl, G Lopez, H Sima, O Smialkowski, A Šmída, R Snow, G Sommers, P Sorokin, J Spinka, H Squartini, R Srivastava, Y Stanic, S Stapleton, J Stasielak, J Stephan, M Stutz, A Suarez, F Suomijärvi, T Supanitsky, A Šuša, T Sutherland, M Swain, J Szadkowski, Z Szuba, M Tapia, A Tartare, M Tascau, O Ruiz, C Tcaciuc, R Tegolo, D Thao, N Thomas, D Tiffenberg, J Timmermans, C Tkaczyk, W Peixoto, C Toma, G Tomé, B Tonachini, A Travnicek, P Tridapalli, D Tristram, G Trovato, E Tueros, M Ulrich, R Unger, M Urban, M Galicia, J Valiño, I Valore, L van den Berg, A Varela, E Cárdenas, B Vázquez, J Vázquez, R Veberic, D Verzi, V Vicha, J Videla, M Villaseñor, L Wahlberg, H Wahrlich, P Wainberg, O Walz, D Watson, A Weber, M Weidenhaupt, K Weindl, A Werner, F Westerhoff, S Whelan, B Widom, A Wieczorek, G Wiencke, L Wilczynska, B Wilczynski, H Will, M Williams, C Winchen, T Wommer, M Wundheiler, B Yamamoto, T Yapici, T Younk, P Yuan, G Yushkov, A Zamorano, B Zas, E Zavrtanik, D Zavrtanik, M Zaw, I Zepeda, A Zhu, Y Silva, M Ziolkowski, M Physical Review D volume 85 issue 2 029902 (15 Jan 2012)
Erratum: The evolution of supernova remnants as radio sources
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Erratum to “Correlation of the highest-energy cosmic rays with the positions of nearby active galactic nuclei” [Astroparticle Physics 29(3) (2008) 188–204]
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Erratum: Constraints on the extremely-high energy cosmic neutrino flux with the IceCube 2008-2009 data [Phys. Rev. D 83, 092003 (2011)]
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Tue, 01 May 2018

16:00 - 17:00
L5

Model theory of approximations and the calculus of oscillating integrals

Boris Zilber
(Oxford University)
Abstract

I will present a variation of positive model theory which addresses the issues of approximations of conventional geometric structures by sequences of Zariski structures as well as approximation by sequences of finite structures. In particular I am interested in applications to quantum mechanics.

I will report on a progress in defining and calculating oscillating in- tegrals of importance in quantum physics. This is based on calculating Gauss sums of order higher or equal to 2 over rings Z/mfor very specific m

Fri, 24 Nov 2017
16:00
L1

North meets South Colloquium

Richard Wade and Andrey Kormilitzin
Abstract

Richard Wade:   Classifying spaces, automorphisms, and right-angled Artin groups 

Right-angled Artin groups (otherwise known as partially commutative groups, or graph groups), interpolate between free abelian groups and free groups. These groups have seen a lot of attention recently, much of this due to some surprising links to the world of hyperbolic 3-manifolds.We will look at classifying spaces for such groups and their associated automorphism groups. These spaces are useful as they give a topological way to understand algebraic invariants of groups. This leads us to study some beautiful mathematical objects: deformation spaces of tori and trees. We will look at some recent results that aim to bridge the gap between these two families of spaces.
 
Andrey Kormilitzin:   Learning from electronic health records using the theory of rough paths

In this talk, we bring the theory of rough paths to the study of non-parametric statistics on streamed data and particularly to the problem of regression and classification, where the input variable is a stream of information, and the dependent response is also (potentially) a path or a stream.  We informally explain how a certain graded feature set of a stream, known in the rough path literature as the signature of the path, has a universality that allows one to characterise the functional relationship summarising the conditional distribution of the dependent response. At the same time this feature set allows explicit computational approaches through machine learning algorithms.

Finally, the signature-based modelling can be applied to some real-world problems in medicine, in particular in mental health and gastro-enterology.

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