001     643482
005     20260118054350.0
024 7 _ |a Fasselt:2025suf
|2 INSPIRETeX
024 7 _ |a inspire:2871924
|2 inspire
024 7 _ |a arXiv:2501.13562
|2 arXiv
024 7 _ |a 10.3204/PUBDB-2026-00229
|2 datacite_doi
037 _ _ |a PUBDB-2026-00229
041 _ _ |a English
082 _ _ |a 530
088 _ _ |a arXiv:2501.13562
|2 arXiv
100 1 _ |a Fasselt, Lucian
|0 P:(DE-H253)PIP1104777
|b 0
|e Corresponding author
|u desy
245 _ _ |a Charge calibration of MALTA2, a radiation hard depleted monolithic active pixel sensor
260 _ _ |c 2026
336 7 _ |a Preprint
|b preprint
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336 7 _ |a Electronic Article
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336 7 _ |a preprint
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336 7 _ |a ARTICLE
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520 _ _ |a MALTA2 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.
536 _ _ |a 622 - Detector Technologies and Systems (POF4-622)
|0 G:(DE-HGF)POF4-622
|c POF4-622
|f POF IV
|x 0
536 _ _ |a AIDAinnova - Advancement and Innovation for Detectors at Accelerators (101004761)
|0 G:(EU-Grant)101004761
|c 101004761
|f H2020-INFRAINNOV-2020-2
|x 1
536 _ _ |a AIDA-2020 - Advanced European Infrastructures for Detectors at Accelerators (654168)
|0 G:(EU-Grant)654168
|c 654168
|f H2020-INFRAIA-2014-2015
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536 _ _ |a STREAM - Smart Sensor Technologies and Training for Radiation Enhanced Applications andMeasurements (675587)
|0 G:(EU-Grant)675587
|c 675587
|f H2020-MSCA-ITN-2015
|x 3
588 _ _ |a Dataset connected to CrossRef, INSPIRE, Journals: bib-pubdb1.desy.de
650 _ 7 |a DMAPS
|2 autogen
650 _ 7 |a Charge calibration
|2 autogen
650 _ 7 |a Tracking
|2 autogen
650 _ 7 |a High-energy physics
|2 autogen
693 _ _ |0 EXP:(DE-MLZ)External-20140101
|5 EXP:(DE-MLZ)External-20140101
|e Measurement at external facility
|x 0
700 1 _ |a Asensi Tortajada, Ignacio
|b 1
700 1 _ |a Behera, Prafulla
|0 P:(DE-H253)PIP1082636
|b 2
700 1 _ |a Berlea, Dumitru Vlad
|0 P:(DE-H253)PIP1095239
|b 3
|u desy
700 1 _ |a Bortoletto, Daniela
|b 4
700 1 _ |a Buttar, Craig
|b 5
700 1 _ |a Dao, Valerio
|b 6
700 1 _ |a Dash, Ganapati
|b 7
700 1 _ |a de Acedo, Leyre Flores Sanz
|b 8
700 1 _ |a Gazi, Martin
|b 9
700 1 _ |a Gonella, Laura
|b 10
700 1 _ |a González, Vicente
|b 11
700 1 _ |a Haberl, Sebastian
|b 12
700 1 _ |a Inada, Tomohiro
|b 13
700 1 _ |a Jana, Pranati
|b 14
700 1 _ |a Li, Long
|b 15
700 1 _ |a Pernegger, Heinz
|b 16
700 1 _ |a Riedler, Petra
|b 17
700 1 _ |a Snoeys, Walter
|b 18
700 1 _ |a Solans Sánchez, Carlos
|b 19
700 1 _ |a van Rijnbach, Milou
|b 20
700 1 _ |a Núñez, Marcos Vázquez
|b 21
700 1 _ |a Vijay, Anusree
|b 22
700 1 _ |a Weick, Julian
|b 23
700 1 _ |a Worm, Steven
|0 P:(DE-H253)PIP1089976
|b 24
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856 4 _ |y OpenAccess
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913 1 _ |a DE-HGF
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