Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Troullinou A"'
Publikováno v:
Journal of Hepatocellular Carcinoma, Vol Volume 8, Pp 387-401 (2021)
Andreas Koulouris,1 Christos Tsagkaris,2 Vasiliki Spyrou,3 Eleni Pappa,4 Aikaterini Troullinou,2 Michail Nikolaou5 1Resident of Medical Oncology, University General Hospital of Heraklion, University of Crete, Crete, Greece; 2Medical School, Universit
Externí odkaz:
https://doaj.org/article/64ec9f214aa340258ba24ed4f7dcfd14
Publikováno v:
Phys. Rev. Applied 21, 034054, 2024
We introduce and demonstrate a hybrid optically pumped magnetometer (HOPM) that simultaneously measures one dc field component and one rf field component quadrature with a single atomic spin ensemble. The HOPM achieves sub-pT/$\sqrt{\mathrm{Hz}}$ sen
Externí odkaz:
http://arxiv.org/abs/2308.14214
Publikováno v:
Phys. Rev. Lett. 131, 133602 (2023)
We study the use of squeezed probe light and evasion of measurement back-action to enhance the sensitivity and measurement bandwidth of an optically-pumped magnetometer (OPM) at sensitivity-optimal atom number density. By experimental observation, an
Externí odkaz:
http://arxiv.org/abs/2308.12933
Publikováno v:
Phys. Rev. Lett. 127, 193601 (2021)
We study the effect of optical polarization squeezing on the performance of a sensitive, quantum-noise-limited optically pumped magnetometer. We use Bell-Bloom (BB) optical pumping to excite a $^{87}$Rb vapor containing $8.2 \cdot 10^{12} \mathrm{ato
Externí odkaz:
http://arxiv.org/abs/2108.01519
Analytical queries over RDF data are becoming prominent as a result of the proliferation of knowledge graphs. Yet, RDF databases are not optimized to perform such queries efficiently, leading to long processing times. A well known technique to improv
Externí odkaz:
http://arxiv.org/abs/2103.06531
Autor:
Troullinou, Eirini, Tsagkatakis, Grigorios, Chavlis, Spyridon, Turi, Gergely, Li, Wen-Ke, Losonczy, Attila, Tsakalides, Panagiotis, Poirazi, Panayiota
Identification of different neuronal cell types is critical for understanding their contribution to brain functions. Yet, automated and reliable classification of neurons remains a challenge, primarily because of their biological complexity. Typical
Externí odkaz:
http://arxiv.org/abs/1911.09977
Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity
Autor:
Troullinou, Eirini, Tsagkatakis, Grigorios, Palagina, Ganna, Papadopouli, Maria, Smirnakis, Stelios Manolis, Tsakalides, Panagiotis
The field of neuroscience is experiencing rapid growth in the complexity and quantity of the recorded neural activity allowing us unprecedented access to its dynamics in different brain areas. The objective of this work is to discover directly from t
Externí odkaz:
http://arxiv.org/abs/1911.01721
Akademický článek
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Autor:
Kong, Jia, Jiménez-Martínez, Ricardo, Troullinou, Charikleia, Lucivero, Vito Giovanni, Mitchell, Morgan W.
Publikováno v:
Nat Commun 11, 2415 (2020)
Quantum technologies use entanglement to outperform classical technologies, and often employ strong cooling and isolation to protect entangled entities from decoherence by random interactions. Here we show that the opposite strategy - promoting rando
Externí odkaz:
http://arxiv.org/abs/1804.07818
Autor:
Jiménez-Martínez, Ricardo, Kolodynski, Jan, Troullinou, Charikleia, Lucivero, Vito Giovanni, Kong, Jia, Mitchell, Morgan W.
Publikováno v:
Phys. Rev. Lett. 120, 040503 (2018)
We study causal waveform estimation (tracking) of time-varying signals in a paradigmatic atomic sensor, an alkali vapor monitored by Faraday rotation probing. We use Kalman filtering, which optimally tracks known linear Gaussian stochastic processes,
Externí odkaz:
http://arxiv.org/abs/1707.08131