Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Manu George"'
Autor:
Jitesh R. Bhatt, Manu George
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 77, Iss 8, Pp 1-10 (2017)
Abstract We consider a plasma consisting of electrons and ions in the presence of a background neutrino gas and develop the magnetohydrodynamic equations for the system. We show that the electron neutrino interaction can induce vorticity in the plasm
Externí odkaz:
https://doaj.org/article/2b5d4a1db72f4ed29dc99a45ac60f971
Autor:
Zewei Xiong, Meng-Ru Wu, Gabriel Martínez-Pinedo, Tobias Fischer, Manu George, Chun-Yu Lin, Lucas Johns
We implement a multi-group and discrete-ordinate neutrino transport model in spherical symmetry which allows to simulate collective neutrino oscillations by including realistic collisional rates in a self-consistent way. We utilize this innovative mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2142525af5a25dfa97f36d91cf3f6a5b
http://arxiv.org/abs/2210.08254
http://arxiv.org/abs/2210.08254
Publikováno v:
Journal of Indian Veterinary Association. Aug2020, Vol. 18 Issue 2, p31-37. 7p.
Publikováno v:
Computer Physics Communications. 283:108588
We introduce the implementation details of the simulation code \cosenu, which numerically solves a set of non-linear partial differential equations that govern the dynamics of neutrino collective flavor conversions. We systematically provide the deta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21310d7df46cc677d7f793529fcbeb71
https://doi.org/10.1016/j.cpc.2022.108588
https://doi.org/10.1016/j.cpc.2022.108588
Publikováno v:
Journal of Fluorine Chemistry. 265:110064
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ede458f4f08559c5bf727e0bd17c28c3
https://doi.org/10.1016/j.jfluchem.2022.110064
https://doi.org/10.1016/j.jfluchem.2022.110064
Publikováno v:
Advances in Communication, Devices and Networking ISBN: 9789811629105
The advent of cameras has only accelerated the need to digitize content as it helps prevent data corruption by natural processes and enables faster transfer of the data across communities. Handwritten documents and ancient manuscripts form a large pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::434f454fbb9eee823c38f5b548f60996
https://doi.org/10.1007/978-981-16-2911-2_13
https://doi.org/10.1007/978-981-16-2911-2_13
Publikováno v:
Physical Review D
Physical Review
Physical review / D 104(10), 103003 (2021). doi:10.1103/PhysRevD.104.103003
Physical Review
Physical review / D 104(10), 103003 (2021). doi:10.1103/PhysRevD.104.103003
We perform numerical simulations of fast collective neutrino flavor conversions in an one-dimensional box mimicking a system with the periodic boundary condition in one spatial direction and translation symmetry in the other two dimensions. We evolve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d316acd74721f3ff127be0d47b834e2a
Publikováno v:
ICCCNT
Robots can perform tedious and repetitive tasks with exact precision. This work demonstrates how swarm intelligence can be utilized to retrieve an object in an indoor environment in a low cost and efficient manner. A swarm of robots is tasked to retr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::129939b033d9631f24efcd0e64fae28e
https://doi.org/10.1109/icccnt49239.2020.9225693
https://doi.org/10.1109/icccnt49239.2020.9225693
Publikováno v:
George, M, Wu, M-R, Tamborra, I, Ardevol Pulpillo, R & Janka, H-T 2020, ' Fast neutrino flavor conversion, ejecta properties, and nucleosynthesis in newly-formed hypermassive remnants of neutron-star mergers ', Physical Review D, vol. 102, no. 10, 103015 . https://doi.org/10.1103/PhysRevD.102.103015
Neutrinos emitted in the coalescence of two neutron stars affect the dynamics of the outflow ejecta and the nucleosynthesis of heavy elements. In this work, we analyze the neutrino emission properties and the conditions leading to the growth of flavo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23f8fdfeb2752549b337ed0352839ee1
https://curis.ku.dk/ws/files/251574788/PhysRevD.102.103015.pdf
https://curis.ku.dk/ws/files/251574788/PhysRevD.102.103015.pdf
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783030634667
IFIP Advances in Information and Communication Technology
3rd International Conference on Computational Intelligence in Data Science (ICCIDS)
3rd International Conference on Computational Intelligence in Data Science (ICCIDS), Feb 2020, Chennai, India. pp.3-15, ⟨10.1007/978-3-030-63467-4_1⟩
IFIP Advances in Information and Communication Technology
3rd International Conference on Computational Intelligence in Data Science (ICCIDS)
3rd International Conference on Computational Intelligence in Data Science (ICCIDS), Feb 2020, Chennai, India. pp.3-15, ⟨10.1007/978-3-030-63467-4_1⟩
Part 1: Computational Intelligence for Text Analysis; International audience; This paper presents a Long short-term memory (LSTM) model to automate the tagging of sentences with a dominant emotion. LSTM is a type of artificial recurrent neural networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40731f899af11d0e6b8b6876b5b1dcc7
https://doi.org/10.1007/978-3-030-63467-4_1
https://doi.org/10.1007/978-3-030-63467-4_1