ÚTEFČVUT Ústav technické a experimentální fyziky ČVUT v PrazeInstitute of Experimental and Applied Physics, CTU in Prague

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
SoftwareSoftware
AutořiAuthors
J. Jakůbek
Klíčová slovaKeywords
pixel detector, Timepix, Per pixel energy calibration
Časopis / citaceJournal / citation
[Software (for RIV)] 2009.
RokYear
2009
JazykLanguage
eng
ZáznamyRecords
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
Citace ke staženíDownload citation
TXT · BibTeX

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.

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