22 research outputs found
Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora
- Author
- Abi B.
- Abud A. Abed
- Acciarri R.
- Acero M. A.
- Adames M. R.
- Adamov G.
- Adamowski M.
- Adams D.
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- Adriano C.
- Aduszkiewicz A.
- Aguilar J.
- Ahmad Z.
- Ahmed J.
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- Ali-Mohammadzadeh B.
- Allison K.
- Alonso M. J. Rodriguez
- AlRashed M.
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- Publication venue
- Publication date
- 29/06/2022
- Field of study
Get PDFThe Pandora Software Development Kit and algorithm libraries provide
pattern-recognition logic essential to the reconstruction of particle
interactions in liquid argon time projection chamber detectors. Pandora is the
primary event reconstruction software used at ProtoDUNE-SP, a prototype for the
Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at
CERN, is exposed to a charged-particle test beam. This paper gives an overview
of the Pandora reconstruction algorithms and how they have been tailored for
use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam
background particles, the simulated reconstruction and identification
efficiency for triggered test-beam particles is above 80% for the majority of
particle type and beam momentum combinations. Specifically, simulated 1 GeV/c
charged pions and protons are correctly reconstructed and identified with
efficiencies of 86.1±0.6% and 84.1±0.6%, respectively. The efficiencies
measured for test-beam data are shown to be within 5% of those predicted by the
simulation.Comment: 39 pages, 19 figure
Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
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- Publication venue
- Publication date
- 01/01/2022
- Field of study
Get PDFLiquid argon time projection chamber detector technology provides high
spatial and calorimetric resolutions on the charged particles traversing liquid
argon. As a result, the technology has been used in a number of recent neutrino
experiments, and is the technology of choice for the Deep Underground Neutrino
Experiment (DUNE). In order to perform high precision measurements of neutrinos
in the detector, final state particles need to be effectively identified, and
their energy accurately reconstructed. This article proposes an algorithm based
on a convolutional neural network to perform the classification of energy
deposits and reconstructed particles as track-like or arising from
electromagnetic cascades. Results from testing the algorithm on data from
ProtoDUNE-SP, a prototype of the DUNE far detector, are presented. The network
identifies track- and shower-like particles, as well as Michel electrons, with
high efficiency. The performance of the algorithm is consistent between data
and simulation.Comment: 31 pages, 15 figure
Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
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- Publication venue
- Publication date
- 01/01/2022
- Field of study
Get PDFLiquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice for the Deep Underground Neutrino Experiment (DUNE). In order to perform high precision measurements of neutrinos in the detector, final state particles need to be effectively identified, and their energy accurately reconstructed. This article proposes an algorithm based on a convolutional neural network to perform the classification of energy deposits and reconstructed particles as track-like or arising from electromagnetic cascades. Results from testing the algorithm on data from ProtoDUNE-SP, a prototype of the DUNE far detector, are presented. The network identifies track- and shower-like particles, as well as Michel electrons, with high efficiency. The performance of the algorithm is consistent between data and simulation
Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
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- Abi B
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- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- 01/01/2022
- Field of study
Get PDFLiquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice for the Deep Underground Neutrino Experiment (DUNE). In order to perform high precision measurements of neutrinos in the detector, final state particles need to be effectively identified, and their energy accurately reconstructed. This article proposes an algorithm based on a convolutional neural network to perform the classification of energy deposits and reconstructed particles as track-like or arising from electromagnetic cascades. Results from testing the algorithm on experimental data from ProtoDUNE-SP, a prototype of the DUNE far detector, are presented. The network identifies track- and shower-like particles, as well as Michel electrons, with high efficiency. The performance of the algorithm is consistent between experimental data and simulation
Design, construction and operation of the ProtoDUNE-SP Liquid Argon TPC
- Author
- Abi B
- Abud AA
- Acciarri R
- Acero MA
- Adames MR
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- Publication venue
- 'IOP Publishing'
- Publication date
- 04/08/2021
- Field of study
Get PDFThe ProtoDUNE-SP detector is a single-phase liquid argon time projection chamber (LArTPC) that was constructed and operated in the CERN North Area at the end of the H4 beamline. This detector is a prototype for the first far detector module of the Deep Underground Neutrino Experiment (DUNE), which will be constructed at the Sandford Underground Research Facility (SURF) in Lead, South Dakota, U.S.A. The ProtoDUNE-SP detector incorporates full-size components as designed for DUNE and has an active volume of 7 Ă 6 Ă 7.2 m3. The H4 beam delivers incident particles with well-measured momenta and high-purity particle identification. ProtoDUNE-SP's successful operation between 2018 and 2020 demonstrates the effectiveness of the single-phase far detector design. This paper describes the design, construction, assembly and operation of the detector components
Searching for solar KDAR with DUNE
- Author
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Get PDFGenome-Wide Association Study Implicates Testis-Sperm Specific FKBP6 as a Susceptibility Locus for Impaired Acrosome Reaction in Stallions
- Author
- A de la Chapelle
- A Gimelbrant
- A Sironen
- Aaron K. Rendahl
- Bhanu P. Chowdhary
- C Khodthong
- Charles C. Love
- CLR Barratt
- D Dutta
- DD Varner
- DD Varner
- Dickson D. Varner
- EP Cunningham
- EW Hill
- EW Hill
- F Jarczowski
- F Jarczowski
- F Zhang
- GA De Blas
- GH Westerveld
- GM Gibbs
- Gregory S. Barsh
- J LeÎČig
- J Noguchi
- J Ogorevc
- J Yu
- James N. Derr
- JC Barrett
- JC Chavez
- JL Jin
- JN Hirschhorn
- JR Garbe
- K Fukami
- K Kitamura
- K Kitamura
- K Nayernia
- KI Aston
- KI Aston
- Krista L. Fritz
- L Calvo
- L Zhao
- L Zhao
- Lauren Dobson
- LJ Corbin
- LS Mayorga
- LY Fox-Clipsham
- M Baker
- M Chirinos
- M Tanigawa
- M Visser
- MA Crackower
- MC Dupuis
- ME McCue
- MI McCarthy
- MK Samplaski
- MM Matzuk
- MM Matzuk
- Molly E. McCue
- Monika Vishnoi
- MY Song
- N Paria
- O Sunnotel
- P Scheet
- PJ Das
- Pranab J. Das
- RK Allan
- RK Naz
- Robert Schaefer
- S Chattopadhaya
- S Lykkjen
- S Meizel
- S Purcell
- S Teyssedre
- S Wright
- SA Brooks
- SB Gabriel
- SM Li
- SP Brinsko
- T Miyamato
- T Raudsepp
- TC Sudhof
- Terje Raudsepp
- W Zhang
- X Meng
- Y Liu de
- Y Liu de
- Y Sato
- YY Go
- Publication venue
- 'Public Library of Science (PLoS)'
- Publication date
- Field of study
No full textGastrointestinal Hormones
- Author
- A Anastasi
- A Munck
- A Robert
- AA Harper
- AA Varner
- AB Leiter
- AC Ivy
- AGE Pearse
- AH Soil
- B Saffouri
- BE Noyes
- C Vantrappen
- D Grube
- DC Manning
- DK Andersen
- DK Bataille
- DN Granger
- E Boel
- E Jorpes
- E Penman
- EJ Tapper
- ER Spindel
- G Peranzi
- GJ Dockray
- GJ Krejs
- GP Smith
- H Nawa
- J Alumets
- J Fontaine
- J Tatemoto
- JB Furness
- JC Brown
- JC Brown
- JD Gardner
- JE Jorpes
- JE McGuigan
- JE Morley
- JF Kachur
- JH Walsh
- JL Willems
- JR Kimmel
- JS Edkins
- K Sjölund
- K Tatemoto
- KA Hubel
- KN Bitar
- KW DuVal
- L Dolva
- L Thim
- LE Rosenthal
- LR Johnson
- M Feldman
- M Wienbeck
- MD Hollenberg
- ME Kraenzlin
- MG Bryant
- MM Chang
- N Itoh
- NR Levens
- O Wiborg
- OB Schaffalitzky de Muckadell
- R Carraway
- RA Gregory
- RJ Deschenes
- RJ Deschenes
- RS Stubbs
- RT Jensen
- SH Buck
- SI Said
- TA Miller
- TJ McDonald
- WM Bayliss
- WY Chey
- Z Itoh
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- 01/01/1990
- Field of study
No full textSynergistic action of cisplatin and echistatin in MDA-MB-231 breast cancer cells
- Author
- A Bielawska
- A Garg
- A SurazyĆski
- A SuraĆŒyĆski
- A Tanel
- AC Bharti
- Anna Bielawska
- Anna Czajkowska
- Arkadiusz SuraĆŒyĆski
- AS Clark
- B Peterkofsky
- B Westermann
- BoĆŒena PopĆawska
- C Desantis
- D Bai
- D Lebwohl
- E Karna
- E Sakallı Ăetin
- Edyta Rysiak
- EK Maloney
- FG Giancotti
- G Eisele
- G Niu
- H Hamidi
- I Oyamada
- I Prokop
- I Tsagaraki
- I Vermes
- J Carmichael
- J Hurley
- J Labat-Robert
- JA Varner
- JC Adams
- JC Obel
- JE Meredith Jr
- JK Arruda MacĂȘdo
- JT Hartmann
- JT Hartmann
- K Bielawski
- K Bielawski
- Krzysztof Bielawski
- L Chang
- LA Gordon
- M Bosco
- M Diarra-Mehrpour
- M Galanski
- M Iraz
- M Kartalou
- M Naziroglu
- MD Pegram
- MR Ritter
- N Boudreau
- Natalia PawĆowska
- Q Zhou
- R Baserga
- R Czarnomysy
- R Czarnomysy
- R Juliano
- R Seger
- RH Goldstein
- RH Kramer
- Robert Czarnomysy
- RS Yang
- S Liu
- S Swenson
- SK Hanks
- SP Xie
- UK Laemmli
- VK Vyas
- W Miltyk
- W Miltyk
- Y Chtourou
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- Field of study
No full text
