Publications (5)
Timing characterization of MALTA and MALTA2 pixel detectors using Micro X-ray source
G. Dash, P. Allport, I. Asensi Tortajada +24
The MALTA monolithic active pixel detector is developed to address some of the challenges anticipated in future high-energy physics detectors. As part of its characterization, we c…
System-level Impact of Non-Ideal Program-Time of Charge Trap Flash (CTF) on Deep Neural Network
S. Shrivastava, A. Biswas, S. Chakrabarty +3
Learning of deep neural networks (DNN) using Resistive Processing Unit (RPU) architecture is energy-efficient as it utilizes dedicated neuromorphic hardware and stochastic computat…
Charge collection parameterization of MALTA2, a depleted monolithic active pixel sensor
L. Fasselt, P. Behera, D. V. Berlea +22
A fast simulation method is presented for a depleted monolithic active pixel sensor, which uses a data driven parameterization of the charge collection and propagation. This approa…
TCAD + Allpi Simulation study of MALTA2, a Depleted Monolithic Active Pixel Sensor for future tracking
L. Li, P. Behera, D. V. Berlea +22
In this work, a hybrid simulation framework combining TCAD and Allpi is presented to investigate the sensor properties of MALTA2, a depleted monolithic active pixel sen…
Study of MALTA2, a Depleted Monolithic Active Pixel Sensor, with grazing angles at CERN SPS 180 GeV/c hadron beam
L. Li, P. Allport, I. Asensi Tortajada +24
MALTA2 is a Depleted Monolithic Active Pixel Sensor designed to meet the challenging requirements of future collider experiments, in particularly extreme radiation tolerance and hi…