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长春光学精密机械与物... [1]
山东大学 [1]
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会议论文 [1]
期刊论文 [1]
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2008 [1]
2006 [1]
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The ATLAS Experiment at the CERN Large Hadron Collider
期刊论文
JOURNAL OF INSTRUMENTATION, 2008, 卷号: 3
作者:
Aad, G.
;
Abat, E.
;
Abdallah, J.
;
Abdelalim, A. A.
;
Abdesselam, A.
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/27
ATLAS
LHC
CERN
Accelerator
Proton-proton collisions
Heavy-ion
collisions
Minimum-bias events
Bunch-crossings
Pile-up
Superconducting magnets
Solenoidal field
Toroidal field
Magnetic
field measurements
Hall probes
Inner detector
Charged-particle
tracking
Vertex measurement
Pixel detectors
Silicon micro-strip
detectors
Transition radiation
Time-over-threshold
Radiation-hard
electronics
Fluorinert cooling
Carbon-fibre reinforced plastics
Optical fibres
Calorimetry
Sampling calorimeters
Liquid argon
Scintillator tiles
Electromagnetic and hadronic interactions
Forward
calorimetry
Accordion geometry
Lateral segmentation
Longitudinal
segmentation
Muon spectrometer
Precision-tracking chambers
Trigger
chambers
Drift tubes
Thin-gap chambers
Resistive-plate chambers
Optical alignment systems
Forward detectors
Cerenkov light
Roman
Pots
Zero-degree calorimetry
Trigger and data acquisition
High-level
trigger
Event filter
Detector control system
Bandwidth
Processor
farm
Electrons
Muons
Leptons
Photons
Jets
Taus
Missing transverse
energy
b-tagging
Particle identification
Tracking algorithms
Vertexing algorithms
Impact parameter measurements
Study of removing striping noise in CCD image (EI CONFERENCE)
会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Xiu J.-H.
;
Zhai L.-P.
;
Liu H.
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浏览/下载:11/0
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提交时间:2013/03/25
Striping noise is the common system noise during formation of image using linear array CCD and has the character of periodicity
directivity and banding distributing. It can be caused by errors in internal calibration devices
or by slight gain/offset differences among the elements that conform the array of detectors. Striping noise covers up useful information in CCD image and brings adverse effect to image interpretation. On the basis of analyzing wavelet decomposed coefficient
the regularities of distribution about striping noise in wavelet coefficient is found
thereby the method of wavelet threshold selection which is suitable to striping noise distribution is put forward. According to Donoho's method about denoising using wavelet
the image including striping noise is processed. Comparing the power spectrum of processed image with the one of original image polluted by striping noise in frequency field
we find pulse brought by striping noise is removed and the goal which reserves image details and reduces stripes is achieved.
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