Zobrazeno 1 - 10
of 7 233
pro vyhledávání: '"P. Leduc"'
Autor:
Kane, Elijah, Albert, Chris, Cothard, Nicholas, Hailey-Dunsheath, Steven, Echternach, Pierre, Foote, Logan, Janssen, Reinier M., Henry, LeDuc, Lun-Jun, Liu, Nguyen, Hien, Glenn, Jason, Charles, Bradford, Zmuidzinas, Jonas
The Probe far-Infrared Mission for Astrophysics (PRIMA) is a proposed space observatory which will use arrays of thousands of kinetic inductance detectors (KIDs) to perform low- and moderate-resolution spectroscopy throughout the far-infrared. The de
Externí odkaz:
http://arxiv.org/abs/2408.03859
Autor:
Faramarzi, Farzad, Sypkens, Sasha, Stephenson, Ryan, Eom, Byeong H., Leduc, Henry, Chaudhuri, Saptarshi, Day, Peter
We present the design and experimental characterization of a kinetic-inductance traveling-wave parametric amplifier (KI-TWPA) for sub-GHz frequencies. KI-TWPAs amplify signals through nonlinear mixing processes supported by the nonlinear kinetic indu
Externí odkaz:
http://arxiv.org/abs/2406.00530
Autor:
Day, Peter K., Cothard, Nicholas F., Albert, Christopher, Foote, Logan, Kane, Elijah, Eom, Byeong H., Thakur, Ritoban Basu, Janssen, Reinier M. J., Beyer, Andrew, Echternach, Pierre, van Berkel, Sven, Hailey-Dunsheath, Steven, Stevenson, Thomas R., Dabironezare, Shahab, Baselmans, Jochem J. A., Glenn, Jason, Bradford, C. Matt, Leduc, Henry G.
We report measurements characterizing the performance of a kinetic inductance detector array designed for a wavelength of 25 microns and very low optical background level suitable for applications such as a far-infrared instrument on a cryogenically
Externí odkaz:
http://arxiv.org/abs/2404.10246
Publikováno v:
Earth Surface Dynamics, Vol 7, Pp 97-106 (2019)
For extending the applications of structure-from-motion (SfM) photogrammetry in river flumes, we present the main challenges and methods used to collect a large dataset (>1000 digital elevation models, DEMs) of high-quality topographic data using clo
Externí odkaz:
https://doaj.org/article/01799b2fc4be4be98d6c9df3592e9199
Autor:
Faramarzi, Farzad, Stephenson, Ryan, Sypkens, Sasha, Eom, Byeong H., LeDuc, Henry, Day, Peter
Kinetic inductance traveling-wave parametric amplifiers (KI-TWPA) have a wide instantaneous bandwidth with near quantum-limited performance and a relatively high dynamic range. Because of this, they are suitable readout devices for cryogenic detector
Externí odkaz:
http://arxiv.org/abs/2402.11751
Autor:
Ramanathan, Karthik, Wen, Osmond, Aralis, Taylor, Thakur, Ritoban Basu, Bumble, Bruce, Chang, Yen-Yung, Day, Peter K., Eom, Byeong Ho, LeDuc, Henry G., Sandoval, Brandon J., Stephenson, Ryan, Golwala, Sunil R.
Microwave Kinetic Inductance Detectors (MKIDs) have been demonstrated as capable phonon sensors when coupled to crystalline substrates, and have been proposed as detectors for next-generation rare-event searches such as for the direct detection of da
Externí odkaz:
http://arxiv.org/abs/2402.05419
Autor:
Lemieux-Leduc, Cédric, Atalla, Mahmoud R. M., Assali, Simone, Koelling, Sebastian, Daoust, Patrick, Luo, Lu, Daligou, Gérard, Brodeur, Julien, Kéna-Cohen, Stéphane, Peter, Yves-Alain, Moutanabbir, Oussama
Due to their narrow band gap and compatibility with silicon processing, germanium-tin (Ge$_{1-x}$Sn$_x$) alloys are a versatile platform for scalable integrated mid-infrared photonics. These semiconductors are typically grown on silicon wafers using
Externí odkaz:
http://arxiv.org/abs/2402.03462
Autor:
Sypkens, Sasha, Minutolo, Lorenzo, Patel, Sahil, Knehr, Emanuel, Walter, Alexander B., Leduc, Henry G., Narváez, Lautaro, Chamberlin, Ralph, Jamison-Hooks, Tracee, Shaw, Matthew D., Day, Peter K., Korzh, Boris
This work culminates in a demonstration of an alternative Frequency Domain Multiplexing (FDM) scheme for Superconducting Nanowire Single-Photon Detectors (SNSPDs) using the Kinetic inductance Parametric UP-converter (KPUP) made out of NbTiN. There ar
Externí odkaz:
http://arxiv.org/abs/2401.17454
Autor:
Bensaid, Reda, Gripon, Vincent, Leduc-Primeau, François, Mauch, Lukas, Hacene, Ghouthi Boukli, Cardinaux, Fabien
In recent years, the rapid evolution of computer vision has seen the emergence of various foundation models, each tailored to specific data types and tasks. In this study, we explore the adaptation of these models for few-shot semantic segmentation.
Externí odkaz:
http://arxiv.org/abs/2401.11311
Deep learning (DL)-based solutions have emerged as promising candidates for beamforming in massive Multiple-Input Multiple-Output (mMIMO) systems. Nevertheless, it remains challenging to seamlessly adapt these solutions to practical deployment scenar
Externí odkaz:
http://arxiv.org/abs/2401.10513