2025-12-04 06:02 |
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2025-12-04 04:29 |
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High-Resolution Laser Spectroscopy on the Hyperfine Structure of $^{255}$Fm (Z=100)
/ Urquiza-González, M. (U. Gothenburg (main)) ; Stemmler, M. (Mainz U. ; Leibniz U., Hannover) ; Albrecht, T.E. (Florida State U., Tallahassee (main)) ; Bally, B. (Darmstadt, Tech. U.) ; Bender, M. (IP2I, Lyon) ; Berndt, S. (Mainz U.) ; Block, M. (Mainz U. ; Helmholtz Inst., Mainz ; Darmstadt, GSI) ; Brizard, A. (Darmstadt, GSI ; GANIL) ; Andrews, J.S. (Helmholtz Inst., Mainz ; Darmstadt, GSI) ; Bieron, J. (Jagiellonian U.) et al.
We report on high-resolution laser spectroscopy of $^{255}$Fm ($T_{1/2} = 20$h), one of the heaviest nuclides available from reactor breeding. [...]
arXiv:2511.20921.
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2025-12-04 04:26 |
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High Density Hybridisation Using ENIG Bumping and Anisotropic Conductive Films
/ Bangaru, Haripriya (CERN) ; Calderini, Giovanni (LPNHE, Paris) ; Dannheim, Dominik (CERN) ; De Oliveira, Rui (CERN) ; Lale, Ahmet (CERN) ; Lauser, Moritz (KIT, Karlsruhe) ; Pinto, Mateus Vicente Barreto (Geneva U.) ; Svihra, Peter (CERN ; LPNHE, Paris)
Fine-pitch hybridisation processes are essential for next-generation pixel detectors and high-density microelectronic assemblies. [...]
arXiv:2511.15562.
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2025-12-04 04:25 |
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hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware
/ Schulte, Jan-Frederik (Purdue U.) ; Ramhorst, Benjamin (Zurich, ETH) ; Sun, Chang (Caltech) ; Mitrevski, Jovan (Fermilab) ; Ghielmetti, Nicolò (CERN) ; Lupi, Enrico (CERN) ; Danopoulos, Dimitrios (CERN) ; Lončar, Vladimir (Belgrade, Inst. Phys. ; CERN) ; Duarte, Javier (UC, San Diego (main)) ; Burnette, David (KETEK, Munich) et al.
We present hls4ml, a free and open-source platform that translates machine learning (ML) models from modern deep learning frameworks into high-level synthesis (HLS) code that can be integrated into full designs for field-programmable gate arrays (FPGAs) or application-specific integrated circuits (ASICs). [...]
arXiv:2512.01463.
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2025-12-03 20:22 |
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2025-12-03 04:49 |
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2025-12-02 07:34 |
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2025-12-02 05:45 |
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2025-12-02 05:14 |
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2025-12-01 20:13 |
The CMS Barrel Calorimeter Processor near production (BCP V2) board evaluation
/ Goadhouse, Stephen David (Virginia U.) ; Nikitas Loukass
The Barrel Calorimeter Processor (BCP), based on ATCA blade architecture, has been developed for the readout of the electromagnetic calorimeter (ECAL) and hadron calorimeter (HCAL) subdetectors of the CMS experiment. The BCP supports 120 optical receive channels of up to 25 Gbps, 72 optical transmit channels of up to 25 Gbps, an AMD XCVU13P UltraScale+ FPGA, and an embedded AMD Zynq UltraScale+ SoC. [...]
CMS-CR-2025-239.-
Geneva : CERN, 2025 - 8 p.
Fulltext: PDF;
In : Topical Workshop on Electronics for Particle Physics 2025, Rethymno, Crete, Gr, 6 - 10 Oct 2025
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