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000643482 005__ 20260118054350.0
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000643482 0247_ $$2arXiv$$aarXiv:2501.13562
000643482 0247_ $$2datacite_doi$$a10.3204/PUBDB-2026-00229
000643482 037__ $$aPUBDB-2026-00229
000643482 041__ $$aEnglish
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000643482 088__ $$2arXiv$$aarXiv:2501.13562
000643482 1001_ $$0P:(DE-H253)PIP1104777$$aFasselt, Lucian$$b0$$eCorresponding author$$udesy
000643482 245__ $$aCharge calibration of MALTA2, a radiation hard depleted monolithic active pixel sensor
000643482 260__ $$c2026
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000643482 520__ $$aMALTA2 is a depleted monolithic active pixel sensor (DMAPS) designed for tracking at high rates and typically low detection threshold of 200e−. Threshold calibration is crucial to understanding the charge collection in the pixel. A simple procedure is developed to calibrate the threshold to unit electrons making use of a dedicated charge injection circuit and an Fe-55 source with dominant charge deposition of 1611e−. The injection voltage corresponding to the signal under exposure of Fe-55 is determined and serves as the basis for charge calibration. The charge injection circuit incorporates a capacitance with design value of Cinj=230aF. Experimentally, the average capacitance value for non-irradiated samples is found to be Cinj,exp=255±35aF and varies between sensors by 14% in terms of standard deviation. The deviation from the design value as well as among sensors motivates the need for the presented calibration procedure, which is proposed to be performed for each MALTA2 sensor and reduces the uncertainty down to 3% depending on the sensor.
000643482 536__ $$0G:(DE-HGF)POF4-622$$a622 - Detector Technologies and Systems (POF4-622)$$cPOF4-622$$fPOF IV$$x0
000643482 536__ $$0G:(EU-Grant)101004761$$aAIDAinnova - Advancement and Innovation for Detectors at Accelerators (101004761)$$c101004761$$fH2020-INFRAINNOV-2020-2$$x1
000643482 536__ $$0G:(EU-Grant)654168$$aAIDA-2020 - Advanced European Infrastructures for Detectors at Accelerators (654168)$$c654168$$fH2020-INFRAIA-2014-2015$$x2
000643482 536__ $$0G:(EU-Grant)675587$$aSTREAM - Smart Sensor Technologies and Training for Radiation Enhanced Applications andMeasurements (675587)$$c675587$$fH2020-MSCA-ITN-2015$$x3
000643482 588__ $$aDataset connected to CrossRef, INSPIRE, Journals: bib-pubdb1.desy.de
000643482 650_7 $$2autogen$$aDMAPS
000643482 650_7 $$2autogen$$aCharge calibration
000643482 650_7 $$2autogen$$aTracking
000643482 650_7 $$2autogen$$aHigh-energy physics
000643482 693__ $$0EXP:(DE-MLZ)External-20140101$$5EXP:(DE-MLZ)External-20140101$$eMeasurement at external facility$$x0
000643482 7001_ $$aAsensi Tortajada, Ignacio$$b1
000643482 7001_ $$0P:(DE-H253)PIP1082636$$aBehera, Prafulla$$b2
000643482 7001_ $$0P:(DE-H253)PIP1095239$$aBerlea, Dumitru Vlad$$b3$$udesy
000643482 7001_ $$aBortoletto, Daniela$$b4
000643482 7001_ $$aButtar, Craig$$b5
000643482 7001_ $$aDao, Valerio$$b6
000643482 7001_ $$aDash, Ganapati$$b7
000643482 7001_ $$ade Acedo, Leyre Flores Sanz$$b8
000643482 7001_ $$aGazi, Martin$$b9
000643482 7001_ $$aGonella, Laura$$b10
000643482 7001_ $$aGonzález, Vicente$$b11
000643482 7001_ $$aHaberl, Sebastian$$b12
000643482 7001_ $$aInada, Tomohiro$$b13
000643482 7001_ $$aJana, Pranati$$b14
000643482 7001_ $$aLi, Long$$b15
000643482 7001_ $$aPernegger, Heinz$$b16
000643482 7001_ $$aRiedler, Petra$$b17
000643482 7001_ $$aSnoeys, Walter$$b18
000643482 7001_ $$aSolans Sánchez, Carlos$$b19
000643482 7001_ $$avan Rijnbach, Milou$$b20
000643482 7001_ $$aNúñez, Marcos Vázquez$$b21
000643482 7001_ $$aVijay, Anusree$$b22
000643482 7001_ $$aWeick, Julian$$b23
000643482 7001_ $$0P:(DE-H253)PIP1089976$$aWorm, Steven$$b24$$udesy
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