Charge collection in irradiated HV-CMOS detectors
Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment (2018)
Abstract:
© 2018 Elsevier B.V. Active silicon detectors built on p-type substrate are a promising technological solution for large area silicon trackers such as those at the High Luminosity LHC, but the radiation hardness of this novel approach has to be evaluated. Active n-in-p strip detector prototypes CHESS2 for ATLAS with different substrate resistivities in the range of 20–1000 Ωcm were irradiated with neutrons and protons up to a fluence of 2×10 15 n eq cm −2 and 3.6×10 15 n eq cm −2 . Charge collection in passive test structures on the chip was evaluated using Edge-TCT and minimum ionising electrons from 90 Sr. Results were used to assess radiation hardness of the detector in the given fluence range and to determine parameters of initial acceptor removal in different substrates.Searches for Dijet Resonances Using √s=13 TeV Proton-Proton Collision Data Recorded by the ATLAS Detector at the Large Hadron Collider Foreword
Chapter in SEARCHES FOR DIJET RESONANCES: USING (ROOT)S = 13 TEV PROTON-PROTON COLLISION DATA RECORDED BY THE ATLAS DETECTOR AT THE LARGE HADRON COLLIDER, (2018) V-+
Radiation hardness studies of AMS HV-CMOS 350 nm prototype chip HVStripV1
Journal of Instrumentation IOP Publishing 12:02 (2017) P02010
Abstract:
CMOS active pixel sensors are being investigated for their potential use in the ATLAS inner tracker upgrade at the HL-LHC. The new inner tracker will have to handle a significant increase in luminosity while maintaining a sufficient signal-to-noise ratio and pulse shaping times. This paper focuses on the prototype chip "HVStripV1" (manufactured in the AMS HV-CMOS 350nm process) characterization before and after irradiation up to fluence levels expected for the strip region in the HL-LHC environment. The results indicate an increase of depletion region after irradiation for the same bias voltage by a factor of ≈2.4 and ≈2.8 for two active pixels on the test chip. There was also a notable increase in noise levels from 85 e− to 386 e− and from 75 e− to 277 e− for the corresponding pixels.Tagging $b$ quarks without tracks using an Artificial Neural Network algorithm
ArXiv 1701.06832 (2017)
Tagging b quarks without tracks using an Artificial Neural Network algorithm
submitted to Journal of Physics G: Nuclear and Particle Physics