Development of the radiation-hard MALTA CMOS sensor for tracking applications Article Swipe
G. Gustavino
,
P. P. Allport
,
Ignacio Asensi Tortajada
,
P. K. Behera
,
Dumitru Vlad Berlea
,
D. Bortoletto
,
C. M. Buttar
,
F. Dachs
,
V. Dao
,
Ganapati Dash
,
D. Dobrijević
,
Lucian Fasselt
,
L. Flores Sanz De Acedo
,
A. Gabrielli
,
Martin Gazi
,
L. Gonella
,
V. González
,
P. Jana
,
Long Li
,
H. Pernegger
,
P. Riedler
,
W. Snoeys
,
Carlos Solans Sánchez
,
Tomislav Suligoj
,
M. Van Rijnbach
,
Marcos Vazquez Nunez
,
Anusree Vijay
,
Julian Weick
,
S. D. Worm
,
Abdelhak M. Zoubir
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.22323/1.448.0048
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.22323/1.448.0048
The MALTA family of Depleted Monolithic Active Pixel Sensors (DMAPS) is produced using Tower 180 nm CMOS technology, specifically targeting radiation-hard applications in the HL-LHC and beyond. Several process modifications have resulted in radiation hardness up to ${3 \\times 10^{15}~1 ~\\text{MeV}~\\text{n}_{\\text{eq}} /\\text{cm}^2}$ and time resolution below 2 ns, with uniform charge collection efficiency across the chip formed of $512 \\times 224$ pixels with a size of $36.4 \\times 36.4~\\mu\\text{m}^2$. This is achieved when adopting high-resistivity Czochralski substrates with backside metallisation to obtain a good propagation of the bias voltage. This contribution will show the most recent results obtained on MALTA2 chip demonstrators, including signal efficiency, noise occupancy and time resolution, at different levels of irradiation as well as the performance of the MALTA telescope permanently installed at the SPS at CERN and used in the test beam campaign in 2021-2023.
Related Topics
Concepts
Radiation hardening
Large Hadron Collider
CMOS
Chip
Tracking (education)
Optoelectronics
Radiation
Pixel
Materials science
Electrical engineering
Noise (video)
Telescope
Image resolution
Physics
Optics
Engineering
Nuclear physics
Computer science
Psychology
Artificial intelligence
Image (mathematics)
Pedagogy
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.22323/1.448.0048
- https://pos.sissa.it/448/048/pdf
- OA Status
- gold
- Cited By
- 1
- References
- 8
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4395009981
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4395009981Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.22323/1.448.0048Digital Object Identifier
- Title
-
Development of the radiation-hard MALTA CMOS sensor for tracking applicationsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-04-19Full publication date if available
- Authors
-
G. Gustavino, P. P. Allport, Ignacio Asensi Tortajada, P. K. Behera, Dumitru Vlad Berlea, D. Bortoletto, C. M. Buttar, F. Dachs, V. Dao, Ganapati Dash, D. Dobrijević, Lucian Fasselt, L. Flores Sanz De Acedo, A. Gabrielli, Martin Gazi, L. Gonella, V. González, P. Jana, Long Li, H. Pernegger, P. Riedler, W. Snoeys, Carlos Solans Sánchez, Tomislav Suligoj, M. Van Rijnbach, Marcos Vazquez Nunez, Anusree Vijay, Julian Weick, S. D. Worm, Abdelhak M. ZoubirList of authors in order
- Landing page
-
https://doi.org/10.22323/1.448.0048Publisher landing page
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https://pos.sissa.it/448/048/pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://pos.sissa.it/448/048/pdfDirect OA link when available
- Concepts
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Radiation hardening, Large Hadron Collider, CMOS, Chip, Tracking (education), Optoelectronics, Radiation, Pixel, Materials science, Electrical engineering, Noise (video), Telescope, Image resolution, Physics, Optics, Engineering, Nuclear physics, Computer science, Psychology, Artificial intelligence, Image (mathematics), PedagogyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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8Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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