Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Edward Hirst"'
Publikováno v:
Physics Letters B, Vol 860, Iss , Pp 139158- (2025)
We apply reinforcement learning (RL) to generate fine regular star triangulations of reflexive polytopes, that give rise to smooth Calabi-Yau (CY) hypersurfaces. We demonstrate that, by simple modifications to the data encoding and reward function, o
Externí odkaz:
https://doaj.org/article/79e926c8149942c3b1e4ecfd8bf606e6
Autor:
Daattavya Aggarwal, Yang-Hui He, Elli Heyes, Edward Hirst, Henrique N. Sá Earp, Tomás S.R. Silva
Publikováno v:
Physics Letters B, Vol 850, Iss , Pp 138517- (2024)
We propose a machine learning approach to study topological quantities related to the Sasakian and G2-geometries of contact Calabi-Yau 7-manifolds. Specifically, we compute datasets for certain Sasakian Hodge numbers and for the Crowley-Nördstrom in
Externí odkaz:
https://doaj.org/article/a1a8087917de424e99e34b11cbfb3591
Publikováno v:
Physics Letters B, Vol 850, Iss , Pp 138504- (2024)
Calabi–Yau manifolds can be obtained as hypersurfaces in toric varieties built from reflexive polytopes. We generate reflexive polytopes in various dimensions using a genetic algorithm. As a proof of principle, we demonstrate that our algorithm rep
Externí odkaz:
https://doaj.org/article/df51a0bffedd46939982f841830e25a8
Publikováno v:
Physics Letters B, Vol 833, Iss , Pp 137376- (2022)
We propose a new technique for classifying 5d Superconformal Field Theories arising from brane webs in Type IIB String Theory, using technology from Machine Learning to identify different webs giving rise to the same theory. We concentrate on webs wi
Externí odkaz:
https://doaj.org/article/177e499ad14d4cc584b5f2eecdab1e7e
Publikováno v:
Journal of High Energy Physics, Vol 2021, Iss 5, Pp 1-47 (2021)
Abstract We show how to map Grothendieck’s dessins d’enfants to algebraic curves as Seiberg-Witten curves, then use the mirror map and the AGT map to obtain the corresponding 4d N $$ \mathcal{N} $$ = 2 supersymmetric instanton partition functions
Externí odkaz:
https://doaj.org/article/248eb13f30e24facb70bd874eb167945
Autor:
Jiakang Bao, Yang-Hui He, Edward Hirst, Johannes Hofscheier, Alexander Kasprzyk, Suvajit Majumder
Publikováno v:
Physics Letters B, Vol 827, Iss , Pp 136966- (2022)
We describe how simple machine learning methods successfully predict geometric properties from Hilbert series (HS). Regressors predict embedding weights in projective space to ∼1 mean absolute error, whilst classifiers predict dimension and Gorenst
Externí odkaz:
https://doaj.org/article/5d1ec6604c1444dca489827bc5b9d8af
Publikováno v:
Journal of High Energy Physics, Vol 2021, Iss 5, Pp 1-47 (2021)
Journal of High Energy Physics
Journal of High Energy Physics
We show how to map Grothendieck's dessins d'enfants to algebraic curves as Seiberg-Witten curves, then use the mirror map and the AGT map to obtain the corresponding 4d $\mathcal{N}=2$ supersymmetric instanton partition functions and 2d Virasoro conf
Autor:
Edward Hirst
Publikováno v:
INSPIRE-HEP
Hilbert series are a standard tool in algebraic geometry, and more recently are finding many uses in theoretical physics. This summary reviews work applying machine learning to databases of them; and was prepared for the proceedings of the Nankai Sym
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7b9e3d76b860c35450061b8b8642edd
Publikováno v:
INSPIRE-HEP
We review some recent applications of machine learning to algebraic geometry and physics. Since problems in algebraic geometry can typically be reformulated as mappings between tensors, this makes them particularly amenable to supervised learning. Ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d98c9fed763ae0d92015f696a962d0a
Publikováno v:
Proyecciones
Quivers, gauge theories and singular geometries are of great interest in both mathematics and physics. In this note, we collect a few open questions which have arisen in various recent works at the intersection between gauge theories, representation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8086fce72db5539542fa13f38860387e