Zobrazeno 1 - 10
of 124 239
pro vyhledávání: '"Giles, A"'
Autor:
Silva, Jorge, Plöschner, Martin, Bertling, Karl, Ghantala, Mukund, Gillespie, Tim, Torniainen, Jari, Herbert, Jeremy, Lim, Yah Leng, Taimre, Thomas, Qi, Xiaoqiong, Donose, Bogdan C., Zhou, Tao, Lui, Hoi-Shun, Indjin, Dragan, Han, Yingjun, Li, Lianhe, Valavanis, Alexander, Linfield, Edmund H., Davies, A. Giles, Dean, Paul, Rakić, Aleksandar D.
Terahertz imaging holds great potential for non-destructive material inspection, but practical implementation has been limited by resolution constraints. In this study, we present a novel single-pixel THz imaging system based on a confocal microscope
Externí odkaz:
http://arxiv.org/abs/2412.18403
Autor:
Saemian, Mohammadreza, Del Balzo, Livia, Gacemi, Djamal, Todorov, Yanko, Rodriguez, Etienne, Lopez, Olivier, Darquié, Benoît, Li, Lianhe, Davies, Alexander Giles, Linfield, Edmund, Vasanelli, Angela, Sirtori, Carlo
Publikováno v:
Nanophotonics 13, 1765-1772 (2024)
We report room temperature heterodyne detection of a quantum cascade laser beaten with a local oscillator on a unipolar quantum photodetector in two different atmospheric windows, at 4.8 $\mu$m and 9 $\mu$m. A noise equivalent power of few pW is meas
Externí odkaz:
http://arxiv.org/abs/2412.17633
Autor:
Giles, Michael B.
It is well known that the Euler-Maruyama discretisation of an autonomous SDE using a uniform timestep $h$ has a strong convergence error which is $O(h^{1/2})$ when the drift and diffusion are both globally Lipschitz. This note proves that the same is
Externí odkaz:
http://arxiv.org/abs/2411.15930
Autor:
Afshari, Hadi, Mapara, Varun, Sourabh, Shashi, Khanal, Megh N., Whiteside, Vincent R., Scheidt, Rebecca A., Beard, Matthew C., Eperon, Giles E., Sellers, Ian R., Furis, Madalina
One of the main approaches to inhibit carrier cooling in semiconductor systems enabling the study of hot carrier solar cell protocols is the use of concentrated illumination to obtain high power densities and create a phonon bottleneck. This, however
Externí odkaz:
http://arxiv.org/abs/2411.13745
A novel pseudocode search engine is designed to facilitate efficient retrieval and search of academic papers containing pseudocode. By leveraging Elasticsearch, the system enables users to search across various facets of a paper, such as the title, a
Externí odkaz:
http://arxiv.org/abs/2411.12649
Autor:
Zhou, Yunzhe, Hooker, Giles
Integral projection models (IPMs) are widely used to study population growth and the dynamics of demographic structure (e.g. age and size distributions) within a population.These models use data on individuals' growth, survival, and reproduction to p
Externí odkaz:
http://arxiv.org/abs/2411.08150
Variable importance is one of the most widely used measures for interpreting machine learning with significant interest from both statistics and machine learning communities. Recently, increasing attention has been directed toward uncertainty quantif
Externí odkaz:
http://arxiv.org/abs/2411.02221
Autor:
Hue, Vincent, Cavalié, Thibault, Sinclair, James A., Zhang, Xi, Benmahi, Bilal, Rodríguez-Ovalle, Pablo, Giles, Rohini S., Stallard, Tom S., Johnson, Rosie E., Dobrijevic, Michel, Fouchet, Thierry, Greathouse, Thomas K., Grodent, Denis C., Hueso, Ricardo, Mousis, Olivier, Nixon, Conor A.
Observations of the Jovian upper atmosphere at high latitudes in the UV, IR and mm/sub-mm all indicate that the chemical distributions and thermal structure are broadly influenced by auroral particle precipitations. Mid-IR and UV observations have sh
Externí odkaz:
http://arxiv.org/abs/2410.20413
Autor:
Turner, David J., Pilling, Jessica E., Donahue, Megan, Giles, Paul A., Romer, Kathy, Gupta, Agrim, Wallage, Toby, Wang, Ray
We introduce a new, open-source, Python module for the acquisition and processing of archival data from many X-ray telescopes - Democratising Archival X-ray Astronomy (hereafter referred to as DAXA). Our software is built to increase access to, and u
Externí odkaz:
http://arxiv.org/abs/2410.11954
Autor:
Zhang, Yusong, Dong, Dong, Hung, Chi-tim, Heyerdahl, Leonard, Giles-Vernick, Tamara, Yeoh, Eng-kiong
Large Language Models (LLMs) have demonstrated remarkable capabilities in language understanding and generation. Advanced utilization of the knowledge embedded in LLMs for automated annotation has consistently been explored. This study proposed to de
Externí odkaz:
http://arxiv.org/abs/2410.11526