Results 41 to 50 of about 720 (160)

Simulation of avalanche low-gain sensor performance in X-ray detection [PDF]

مجله علوم و فنون هسته‌ای
X-ray applications in imaging and beyond require efficient and optimal detectors. Energy separation, time loss, and manufacturing cost are among the features that led us to design a semiconductor detector.
M. Dansi, M.B. Fathi
doaj   +1 more source

LGAD and 3D as timing detectors [PDF]

Proceedings of The 28th International Workshop on Vertex Detectors — PoS(Vertex2019), 2020
In view of the High Luminosity upgrade of the CERN Large Hadron Collider (HL-LHC), radiation tolerant silicon sensors are being developed in the framework of ATLAS, CMS, RD50 and other sensor R\&D projects. The HL-LHC beam parameters and hardware configuration should enable the collider to reach a peak instantaneous luminosity of $5\times10^{34}\textrm{
openaire   +1 more source

Fabrication and performance of AC-coupled LGADs [PDF]

Journal of Instrumentation, 2019
Detectors that can simultaneously provide fine time and spatial resolution have attracted wide-spread interest for applications in several fields such as high-energy and nuclear physics as well as in low-energy electron detection, photon science, photonics and imaging.
Giacomini, Gabriele, Chen, Wei, D'Amen, Gabriele, Tricoli, Alessandro   +3 more
openaire   +2 more sources

TCAD optimization of LGAD sensors for extremely high fluence applications

, 2023
The next generation of high-energy physics experiments at future hadronic colliders will require tracking detectors able to efficiently operate in extreme radiation environments, where expected fluences will exceed 1 × 1017 neq/cm2.
Cartiglia N., Boscardin M., Paternoster G., Sola V., Fondacci A., Morozzi A., Vignali M. C., Menichelli M., Moscatelli F., Croci T., Asenov P., Giordanengo S., Passeri D., Borghi G.   +13 more
core   +2 more sources

Monitoring therapeutic proton beams with LGAD silicon detectors

, 2022
The University and the National Institute for Nuclear Physics of Torino are developing LGAD-based prototypes for beam monitoring in proton therapy. The direct measurement of single beam particles could overcome some features of currently used ionization ...
Staiano, A., Wheadon, R. J., Martì Villarreal, O. A., Garbolino, S., Borghi, G., Cirio, R., Bersani, D., Giordanengo, S., Monaco, V., Data, E., Sacchi, R., Galeone, C., Mazza, G., Vignati, A., Abujami, M., Hammad Ali, O., Ficorella, F., Centis Vignali, M., Mas Milian, F.   +18 more
core   +2 more sources

Synchrotron light source focused X-ray detection with LGADs, AC-LGADs and TI-LGADs

Journal of Instrumentation
Abstract The response of Low Gain Avalanche Diodes (LGADs), a type of thin silicon detector with internal gain, to X-rays of energies between 6–16 keV was characterized at the Stanford Synchrotron Radiation Lightsource (SSRL). The utilized beamline at SSRL was 7-2, with a nominal beam size of 30 μm, repetition rate of 500 MHz, and with ...
A. Molnar, M. Davis, G. Oregan, S. Beringer, Y. Zhao, S.M. Mazza, A. Tiernan, J. Ott, H.F.-W. Sadrozinski, A. Seiden, B. Schumm, F. McKinney-Martinez, A. Bisht, M. Centis-Vignali, G. Paternoster, M. Boscardin   +15 more
openaire   +2 more sources

LGAD Detector Concept for TOPSiDE Project

, 2021
We report a concept low gain avalanche diode (LGAD) detector to be integrated into TOPSiDE, which is being developed for EIC (Electron-Ion Collider) project. The LGAD detector will be taking its place to resolve requirement of time-of-flight measurement for the TOPSiDE project.
Kyung-Wook, Shin, Repond, Jose O., Blyth, David, Metcalfe, Jessica E., Jadhav, Manoj, Saiden, Abraham, Sadrozinski, Hartmut   +7 more
openaire   +2 more sources

Fast Electronics for LGADs

, 2021
Solid State ...
openaire   +2 more sources

Study of the Readout of AC-LGAD Sensor and ALTIROC Chip Assemblies

, 2022
International audienceThe development of detectors that provide high resolution in four dimensions has attracted wide-spread interest in the scientific community for a wide variety of applications.
Giacomini, G, Morenas, M, Seguin-Moreau, N, Rossi, E, Munoz Camacho, C, de la Taille, C, Wang, P.K, Marchand, D, Serin, L, Tricoli, A, D’amen, G   +10 more
core   +1 more source

Phenotyping Preeclampsia Using Unsupervised Machine Learning: A Prospective Cohort Study

BJOG: An International Journal of Obstetrics &Gynaecology, EarlyView.
ABSTRACT Objective To explore clinically meaningful phenotypes of preeclampsia using unsupervised machine learning. Design Prospective cohort study. Setting BCNatal, a tertiary maternal‐foetal medicine centre (Barcelona, Spain). Population A total of 482 pregnant women diagnosed with preeclampsia between August 2013 and April 2024.
Ohad Houri, Lina Youssef, Francesca Crovetto, Maria Borrell, Maddalena Crimella, Maria Giulia Ferrante, Rommy H. Novoa, Irene Casas, Noelia Encabo, Leticia Benitez, Marta Larroya, Anna Peguero, Eva Meler, Sara Castro‐Barquero, Bart Bijnens, Francesc Figueras, Eduard Gratacos, Gabriel Bernardino, Fàtima Crispi   +18 more
wiley   +1 more source