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Related papers: 3D silicon pixel detectors for the ATLAS Forward P…

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The R&D activity presented is focused on the development of new modules for the upgrade of the ATLAS pixel system at the High Luminosity LHC (HL-LHC). The performance after irradiation of n-in-p pixel sensors of different active thicknesses…

Instrumentation and Detectors · Physics 2015-06-11 A. Macchiolo , L. Andricek , M. Ellenburg , H. G. Moser , R. Nisius , R. H. Richter , S. Terzo , P. Weigell

The ATLAS Pixel detector is a high-resolution, low-noise silicon-based device designed to provide tracking and vertexing information within a distance of 12 cm from the LHC beam axis. It consists of approximately 80 million pixel channels…

Instrumentation and Detectors · Physics 2019-08-13 J. Biesiada

In 2017, ATLAS has been equipped with a new, dedicated detector system allowing measurements of forward protons scattered at small angles in diffractive and electromagnetic processes. These ATLAS Forward Proton detectors (AFP) can operate…

Instrumentation and Detectors · Physics 2020-02-17 Maciej Trzebinski

Pixel sensors in 3D technology equip the outer ends of the staves of the Insertable B Layer (IBL), the innermost layer of the ATLAS Pixel Detector, which was installed before the start of LHC Run 2 in 2015. 3D pixel sensors are expected to…

Instrumentation and Detectors · Physics 2024-12-18 ATLAS Collaboration

We describe the main components of the ATLAS Forward Physics project, namely the movable beam pipe, the tracking and timing detectors which allow to detect intact protons in the final state at the LHC. The position detector is composed on 6…

Instrumentation and Detectors · Physics 2016-11-15 Christophe Royon

Test beam results obtained with 3D pixel sensors bump-bonded to the RD53A prototype readout ASIC are reported. Sensors from FBK (Italy) and IMB-CNM (Spain) have been tested before and after proton-irradiation to an equivalent fluence of…

A MHz frame rate X-ray area detector (LPD - Large Pixel Detector) is under development by the Rutherford Appleton Laboratory for the European XFEL. The detector will have 1 million pixels and allows analogue storage of 512 images taken at…

A new module concept for future ATLAS pixel detector upgrades is presented, where thin n-in-p silicon sensors are connected to the front-end chip exploiting the novel Solid Liquid Interdiffusion technique (SLID) and the signals are read out…

Instrumentation and Detectors · Physics 2011-12-26 P. Weigell , L. Andricek , M. Beimforde , A. Macchiolo , H. -G. Moser , R. Nisius , R. -H. Richter

Silicon pixel detectors produced according to the ATLAS Pixel Detector design were tested in a beam at CERN in the framework of the ATLAS collaboration. The detectors used n+/n sensors with oxygenated silicon substrates. The experimental…

High Energy Physics - Experiment · Physics 2007-05-23 T. Lari

The development of n-on-p "edgeless" planar pixel sensors being fabricated at FBK (Trento, Italy), aimed at the upgrade of the ATLAS Inner Detector for the High Luminosity phase of the Large Hadron Collider (HL-LHC), is reported. A…

Instrumentation and Detectors · Physics 2013-02-19 M. Bomben , A. Bagolini , M. Boscardin , L. Bosisio , G. Calderini , J. Chauveau , G. Giacomini , A. La Rosa , G. Marchori , N. Zorzi

The performance of pixel modules built from 75 micrometer thin silicon sensors and ATLAS read-out chips employing the Solid Liquid InterDiffusion (SLID) interconnection technology is presented. This technology, developed by the Fraunhofer…

Instrumentation and Detectors · Physics 2014-07-30 L. Andricek , M. Beimforde , A. Macchiolo , H-G. Moser , R. Nisius , R. H. Richter , S. Terzo , P. Weigell

The ALICE Forward Multiplicity Detector (FMD) is a silicon strip detector with 51,200 strips arranged in 5 rings, covering the range $-3.4 < \eta < 5.1$. It is placed around the beam pipe at small angles to extend the charged particle…

Following the Phase-II upgrade during Long Shutdown (LS3), the LHC aims to reach a peak instantaneous luminosity of $7.5\times 10^{34}$cm$^{-2}$s$^{-1}$, which corresponds to an average of around 200 inelastic proton-proton collisions per…

The high-luminosity upgrade of the CERN LHC requires the replacement of the CMS tracking detector to cope with the increased radiation fluence while maintaining its excellent performance. An extensive R\&D program, aiming at using 3D pixel…

Instrumentation and Detectors · Physics 2025-10-16 The Tracker Group of the CMS Collaboration

For the ATLAS Pixel Detector fast readout electronics has been successfully developed and tested. Main attention was given to the ability to detect small charges in the order of 5,000 electrons within 25 ns in the harsh radiation…

Instrumentation and Detectors · Physics 2008-11-26 Fabian Huegging

The High Luminosity upgrade of the CERN Large Hadron Collider will be able to reach a peak instantaneous luminosity of 5E34/cm2 s. The innermost detectors of the CMS and ATLAS experiments will have to cope with unprecedented requirements on…

Instrumentation and Detectors · Physics 2021-06-16 Jordi Duarte-Campderros

To extend the physics reach of the LHC, accelerator upgrades are planned which will increase the integrated luminosity to beyond 3000 fb^-1 and the pile-up per bunch-crossing by a factor 5 to 10. To cope with the increased occupancy and…

Instrumentation and Detectors · Physics 2015-06-17 G. Calderini

Pixelated silicon detectors are state-of-the-art technology to achieve precise tracking and vertexing at collider experiments, designed to accurately measure the hit position of incoming particles in high rate and radiation environments.…

Instrumentation and Detectors · Physics 2021-12-08 I. Zoi , A. Ebrahimi , F. Feindt , E. Garutti , P. Gunnellini , A. Hinzmann , C. Niemeyer , D. Pitzl , J. Schwandt , G. Steinbrück

A novel approach for designing the next generation of vertex detectors foresees to employ wafer-scale sensors that can be bent to truly cylindrical geometries after thinning them to thicknesses of 20-40$\mu$m. To solidify this concept, the…

Instrumentation and Detectors · Physics 2021-08-18 ALICE ITS project , : , G. Aglieri Rinella , M. Agnello , B. Alessandro , F. Agnese , R. S. Akram , J. Alme , E. Anderssen , D. Andreou , F. Antinori , N. Apadula , P. Atkinson , R. Baccomi , A. Badalà , A. Balbino , C. Bartels , R. Barthel , F. Baruffaldi , I. Belikov , S. Beole , P. Becht , A. Bhatti , M. Bhopal , N. Bianchi , M. B. Blidaru , G. Boca , J. Bok , G. Bonomi , M. Bonora , M. Borri , V. Borshchov , E. Botta , G. E. Bruno , M. Buckland , S. Bufalino , M. Cai , P. Camerini , P. Cariola , F. Catalano , C. Ceballos Sanchez , I. Chakaberia , M. Chartier , F. Colamaria , D. Colella , A. Collu , M. Concas , G. Contin , S. Costanza , P. Cui , A. Dainese , J. B. Dainton , L. De Cilladi , C. De Martin , G. De Robertis , W. Deng , A. Di Mauro , Y. Ding , M. Durkac , D. Elia , M. R. Ersdal , M. Faggin , F. Fan , A. Fantoni , P. Fecchio , A. Feliciello , G. Feofilov , A. Ferk , J. Ferencei , G. Fiorenza , A. N. Flores , E. Fragiacomo , D. Gajanana , A. Gal , C. Gao , C. Gargiulo , P. Gianotti , P. Giubilato , A. Grant , L. Greiner , A. Grelli , O. S. Groettvik , F. Grosa , C. Guo Hu , R. Hannigan , J. A. Hasenbichler , H. Helstrup , H. Hillemanns , C. Hills , P. Hindley , B. Hippolyte , B. Hofman , G. H. Hong , G. Huang , J. P. Iddon , H. Ilyas , M. A. Imhoff , A. Isakov , A. Jadlovska , S. Jadlovska , J. Jadlovsky , S. Jaelani , T. Johnson , A. Junique , P. Kalinak , A. Kalweit , M. Keil , Z. Khabanova , H. Khan , B. Kim , C. Kim , J. Kim , J. Kim , T. Kim , J. Klein , A. Kluge , C. Kobdaj , A. Kotliarov , I. Králik , F. Krizek , T. Kugathasan , C. Kuhn , P. G. Kuijer , S. Kushpil , M. J. Kweon , J. Y. Kwon , Y. Kwon , P. La Rocca , A. Lakrathok , R. Langoy , P. Larionov , E. Laudi , T. Lazareva , R. Lea , R. C. Lemmon , X. L. Li , J. Lien , B. Lim , S. H. Lim , S. Lindsay , A. Liu , J. Liu , J. Liu , M. Lunardon , G. Luparello , M. Lupi , M. Mager , A. Maire , Q. W. Malik , G. Mandaglio , V. Manzari , Y. Mao , G. V. Margagliotti , C. Markert , D. Marras , P. Martinengo , S. Masciocchi , M. Masera , A. Masoni , A. Mastroserio , P. F. T. Matuoka , G. Mazza , F. Mazzaschi , M. A. Mazzoni , F Morel , V. Muccifora , A. Mulliri , L. Musa , S. V. Nesbo , D. Nesterov , J. Norman , J. Park , R. N Patra , C. Pastore , H. Pei , X. Peng , S. Piano , C. Pinto , S. Pisano , S. Politano , E. Prakasa , F. Prino , M. Protsenko , M. Puccio , A. Rachevski , L. Ramello , F. Rami , I. Ravasenga , A. Rehman , F. Reidt , F. Riggi , K. Røed , D. Röhrich , F. Ronchetti , A. Rosano , M. J. Rossewij , A. Rossi , R. Rui , R. Russo , R. Sadikin , V. Sarritzu , J. Schambach , S. Senyukov , J. J. Seo , R. Shahoyan , S. Shaukat , S. Siddhanta , M. Sitta , R. J. M. Snellings , W. Snoeys , A. Songmoolnak , J. Sonneveld , F. Soramel , M. Suljic , S. Sumowidagdo , D. Sun , X. Sun , G. J. Tambave , G. Tersimonov , M. Tkacik , M. Toppi , A. Trifiró , S. Trogolo , V. Trubnikov , R. Turrisi , T. S. Tveter , I. Tymchuck , K. Ullaland , M. Urioni , G. L. Usai , N. Valle , L. V. R. van Doremalen , T. Vanat , J. W. Van Hoorne , M. Varga-Kofarago , A. Velure , D. Wang , Y. Wang , J. Wikne , J. R. Wright , R. Xu , P. Yang , Z. Yin , I. -K. Yoo , J. H. Yoon , S. Yuan , V. Zaccolo , E. Zhang , X. Zhang , V. Zherebchevskii , D. Zhou , J. Zhu , Y. Zhu , G. Zinovjev , N. Zurlo

Accurate 3D imaging is essential for machines to map and interact with the physical world. While numerous 3D imaging technologies exist, each addressing niche applications with varying degrees of success, none have achieved the breadth of…