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Insertion of STC into TRT at the Department of Physics, Oxford
Credit: CERN

Professor Todd Huffman

Associate Professor of Physics

Research theme

  • Fundamental particles and interactions

Sub department

  • Particle Physics

Research groups

  • ATLAS
  • ePIC
Todd.Huffman@physics.ox.ac.uk
  • About
  • Publications

Radiation hardness studies of AMS HV-CMOS 350 nm prototype chip HVStripV1

Journal of Instrumentation IOP Publishing 12:02 (2017) P02010

Authors:

K Kanisauskas, A Affolder, K Arndt, R Bates, M Benoit, FD Bello, A Blue, D Bortoletto, M Buckland, C Buttar, P Caragiulo, D Das, J Dopke, A Dragone, F Ehrler, V Fadeyev, Z Galloway, H Grabas, IM Gregor, P Grenier, A Grillo, B Hiti, M Hoeferkamp, LBA Hommels, BT Huffman, Jaya John, C Kenney, J Kramberger, Z Liang, I Mandic, D Maneuski, F Martinez-Mckinney, S MacMahon, L Meng, M Mikuž, D Muenstermann, R Nickerson, I Peric, P Phillips, R Plackett, F Rubbo, J Segal, S Seidel, A Seiden, I Shipsey, W Song, M Staniztki, D Su, C Tamma, R Turchetta

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.
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Tagging $b$ quarks without tracks using an Artificial Neural Network algorithm

(2017)

Authors:

B Todd Huffman, Thomas Russell, Jeff Tseng
More details from the publisher
Details from ArXiV

Tagging b quarks without tracks using an Artificial Neural Network algorithm

submitted to Journal of Physics G: Nuclear and Particle Physics

Authors:

B. Todd Huffman, Thomas Russell, Jeff Tseng

Abstract:

Details from ArXiV

Measurement of the bb dijet cross section in pp collisions at √s = 7 TeV with the ATLAS detector

European Physical Journal C Springer 76:12 (2016) 670

Authors:

YS Gao, FMG Walls, C García, JEG Navarro, M Garcia-Sciveres, RW Gardner, N Garelli, V Garonne, AG Bravo, C Gatti, A Gaudiello, G Gaudio, B Gaur, L Gauthier, IL Gavrilenko, C Gay, G Gaycken, EN Gazis, Z Gecse, CNP Gee, C Geich-Gimbel, M Geisen, MP Geisler, C Gemme, MH Genest

Abstract:

The dijet production cross section for jets containing a b-hadron (b-jets) has been measured in proton–proton collisions with a centre-of-mass energy of √s = 7 TeV, using the ATLAS detector at the LHC. The data used correspond to an integrated luminosity of 4.2 fb−1. The cross section is measured for events with two identified b-jets with a transverse momentum pT > 20GeV and a minimum separation in the η–φ plane of ΔR = 0.4. At least one of the jets in the event is required to have pT > 270GeV. The cross section is measured differentially as a function of dijet invariant mass, dijet transverse momentum, boost of the dijet system, and the rapidity difference, azimuthal angle and angular distance between the b-jets. The results are compared to different predictions of leading order and next-to-leading order perturbative quantum chromodynamics matrix elements supplemented with models for parton-showers and hadronization.
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Tagging $b$ quarks at extreme energies without tracks

Journal of Physics G: Nuclear and Particle Physics Institute of Physics 43:8 (2016) 085001

Authors:

B Todd Huffman, Charles Jackson, Jeffrey Tseng

Abstract:

We describe a new hit-based b-tagging technique for high energy jets and study its performance with a Geant4-based simulation. The technique uses the fact that at sufficiently high energy a B meson or baryon can live long enough to traverse the inner layers of pixel detectors such as those in the ATLAS, ALICE, or CMS experiments prior to decay. By first defining a "jet" via the calorimeter, and then counting hits within that jet between pixel layers at increasing radii, we show it is possible to identify jets that contain b-quarks by detecting a jump in the number of hits without tracking requirements. We show that the technique maintains fiducial efficiency at TeV scale B hadron energies, far beyond the range of existing algorithms, and improves upon conventional b-taggers.
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