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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.
收藏  |  浏览/下载:11/0  |  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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