Particle identification using cluster counting in a large drift chamber at normal conditions

被引：0
|
作者：
Cerrito, L. [1 ]
Gatta, M. [1 ]
Paoluzi, L. [1 ]
Santovetti, E. [1 ]
机构：
[1] Physics Department, Univ. degli Studi Roma Tor Vergata, INFN, I-00133 Roma II, Italy
来源：
Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment | 1999年 / 434卷 / 02期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：261 / 270
相关论文
共 50 条
  • [41] Dynamic multi-swarm particle swarm optimizer using parallel PC cluster systems for global optimization of large-scale multimodal functions
    Fan, Shu-Kai S.
    Chang, Ju-Ming
    ENGINEERING OPTIMIZATION, 2010, 42 (05) : 431 - 451
  • [42] Identification of an extensive gene cluster among a family of PPOs in Trifolium pratense L. (red clover) using a large insert BAC library
    Ana Winters
    Sue Heywood
    Kerrie Farrar
    Iain Donnison
    Ann Thomas
    K Judith Webb
    BMC Plant Biology, 9
  • [43] Identification of an extensive gene cluster among a family of PPOs in Trifolium pratense L. (red clover) using a large insert BAC library
    Winters, Ana
    Heywood, Sue
    Farrar, Kerrie
    Donnison, Iain
    Thomas, Ann
    Webb, K. Judith
    BMC PLANT BIOLOGY, 2009, 9
  • [44] Generation and characterization of large-particle aerosols using a center flow tangential aerosol generator with a non-human-primate, head-only aerosol chamber
    Bohannon, J. Kyle
    Lackemeyer, Matthew G.
    Kuhn, Jens H.
    Wada, Jiro
    Bollinger, Laura
    Jahrling, Peter B.
    Johnson, Reed F.
    INHALATION TOXICOLOGY, 2015, 27 (05) : 247 - 253
  • [45] Energy-control and novel particle-identification methods combined with range in a multi-sampling ionization chamber for experiments using slowed-down RI beams
    Sumikama, T.
    Ahn, D. S.
    Fukuda, N.
    Shimizu, Y.
    Suzuki, H.
    Takeda, H.
    Wang, H.
    Yoshida, K.
    Amano, J.
    Chiga, N.
    Chikaato, K.
    Hirayama, A.
    Inabe, N.
    Kawase, S.
    Kubono, S.
    Matsushita, M.
    Michimasa, S.
    Nakano, K.
    Otsu, H.
    Sakurai, H.
    Saito, A.
    Shimoura, S.
    Suwa, J.
    Takechi, M.
    Takeuchi, S.
    Togano, Y.
    Tomai, T.
    Watanabe, Y.
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2021, 986
  • [46] Large-scale untargeted LC-MS metabolomics data correction using between-batch feature alignment and cluster-based within-batch signal intensity drift correction
    Brunius, Carl
    Shi, Lin
    Landberg, Rikard
    METABOLOMICS, 2016, 12 (11)
  • [47] Large-scale untargeted LC-MS metabolomics data correction using between-batch feature alignment and cluster-based within-batch signal intensity drift correction
    Carl Brunius
    Lin Shi
    Rikard Landberg
    Metabolomics, 2016, 12
  • [48] Optimal power flow under both normal and contingent operation conditions using the hybrid fuzzy particle swarm optimisation and Nelder-Mead algorithm (HFPSO-NM)
    Joorabian, Mahmood
    Afzalan, Ehsan
    APPLIED SOFT COMPUTING, 2014, 14 : 623 - 633
  • [49] Identification of a SNP cluster associated with taxane-induced peripheral neuropathy risk in patients being treated for breast cancer using GWAS data derived from a large cooperative group trial
    Lustberg, Maryam
    Wu, Xuan
    Fernandez-Martinez, Juan Luis
    de Andres-Galiana, Enrique J.
    Philips, Santosh
    Leibowitz, Jeffrey
    Schneider, Bryan
    Sonis, Stephen
    SUPPORTIVE CARE IN CANCER, 2023, 31 (02)
  • [50] Identification of a SNP cluster associated with taxane-induced peripheral neuropathy risk in patients being treated for breast cancer using GWAS data derived from a large cooperative group trial
    Maryam Lustberg
    Xuan Wu
    Juan Luis Fernández-Martínez
    Enrique J. de Andrés-Galiana
    Santosh Philips
    Jeffrey Leibowitz
    Bryan Schneider
    Stephen Sonis
    Supportive Care in Cancer, 2023, 31
12345