Software package for per pixel energy calibration of Timepix pixel detector
- NázevTitle
- Software package for per pixel energy calibration of Timepix pixel detectorSoftware package for per pixel energy calibration of Timepix pixel detector
- Druh výsledkuResult type
- Ostatní výsledekOther result
- AutořiAuthors
- J. Jakůbek
- Časopis / citaceJournal / citation
- [Software (for RIV)] 2009.
- RokYear
- 2009
- JazykLanguage
- eng
- RIVRIV
- RIV/68407700:21670/09:00166882!RIV10-MSM-21670___
- ProjektProject
- Příprava, modifikace a charakterizace materiálů energetickým zářenímPreparation, Modification and Characterization of Materials by Energetic Radiation; Využití radionuklidů a ionizujícího zářeníApplication of radionuclides and ionising radiation
AbstraktAbstract
Semiconductor pixel detector Timepix operated in Time-over-Threshold mode allows energy measurement in each pixel. The energy measurement requires knowledge of the energy calibration of each pixel of the matrix. Such calibration is very nonlinear in the low energy range and can be described by a surrogate function depending on four parameters. The determination of all these parameters can be performed by measurement and evaluation of the response of each pixel in several calibration points. The procedure is extremely demanding: it requires the analysis of about 250 thousands of spectra and the performance of 330 thousands of least-squares fits.
Semiconductor pixel detector Timepix operated in Time-over-Threshold mode allows energy measurement in each pixel. The energy measurement requires knowledge of the energy calibration of each pixel of the matrix. Such calibration is very nonlinear in the low energy range and can be described by a surrogate function depending on four parameters. The determination of all these parameters can be performed by measurement and evaluation of the response of each pixel in several calibration points. The procedure is extremely demanding: it requires the analysis of about 250 thousands of spectra and the performance of 330 thousands of least-squares fits.