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Paper   IPM / Particles / 11410
School of Particles and Accelerator
  Title:   Identification and Filtering of Uncharacteristic Noise in the CMS Hadron Calorimeter
  Author(s): 
1.  Hessamaddin Arfaei
2.  Hamed Bakhshiansohi
3.  Ali Fahim
4.  Abideh Jafari
5.  Mojtaba Mohammadi Najafabadi
6.  Ahmad Moshaii
7.  Saeid Paktinat
8.  Shahin Rouhani
9.  Batool Safarzadeh
10.  Maryam Zeinali
  Status:   Published
  Journal: JINST
  Year:  2010
  Pages:   29
  Supported by:  IPM
  Abstract:
Commissioning studies of the CMS hadron calorimeter have identified sporadic uncharacteristic noise and a small number of malfunctioning calorimeter channels. Algorithms have been developed to identify and address these problems in the data. The methods have been tested on cosmic ray muon data, calorimeter noise data, and single beam data collected with CMS in 2008. The noise rejection algorithms can be applied to LHC collision data at the trigger level or in the offline analysis. The application of the algorithms at the trigger level is shown to remove 90


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