scholarly journals Searching for metastable particles using graph computing

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ashutosh V. Kotwal

AbstractThe reconstruction of charged particle trajectories at the Large Hadron Collider and future colliders relies on energy depositions in sensors placed at distances ranging from a centimeter to a meter from the colliding beams. We propose a method of detecting charged particles that decay invisibly after traversing a short distance of about 25 cm inside the experimental apparatus. One of the decay products may constitute the dark matter known to be 84% of all matter at galactic and cosmological distance scales. Our method uses graph computing to cluster spacepoints recorded by two-dimensional silicon pixel sensors into mathematically-defined patterns. The algorithm may be implemented on silicon-based integrated circuits using field-programmable gate array technology to augment or replace traditional computing platforms.

2021 ◽  
Author(s):  
Amin Sandoughsaz Zardini ◽  
Behnoush Rostami ◽  
Khalil Najafi ◽  
Vaughn L. Hetrick ◽  
Omar J. Ahmed

AbstractIn this work, we propose a new silicon-based micro-fabrication technology to fabricate 3D high-density high-electrode-count neural micro-probe arrays scalable to thousands and even millions of individual electrodes with user-defined length, width, shape, and tip profile. This unique technology utilizes DRIE of ultra-high aspect-ratio holes in silicon and refilling them with multiple films to form thousands of individual needles with metal tips making up the “sea-of-electrodes” array (SEA). World-record density of 400 electrodes/mm2 in a 5184-needle array is achieved. The needles are ~0.5-1.2mm long, <20μm wide at the base, and <1μm at the tip. The silicon-based structure of these 3D array probes with sharp tips, makes them stiff enough and easily implantable in the brain to reach a targeted region without failing. Moreover, the high aspect ratio of these extremely fine needles reduces the tissue damage and improves the chronic stability. Functionality of the electrodes is investigated using acute in vivo recording in a rat barrel field cortex under isoflurane anesthesia.


2021 ◽  
Author(s):  
Michael Mattioli

<div>Field-programmable gate arrays (FPGAs) are remarkably versatile. FPGAs are used in a wide variety of applications and industries where use of application-specific integrated circuits (ASICs) is less economically feasible. Despite the area, cost, and power challenges designers face when integrating FPGAs into devices, they provide significant security and performance benefits. Many of these benefits can be realized in client compute hardware such as laptops, tablets, and smartphones.</div>


ACS Nano ◽  
2013 ◽  
Vol 7 (5) ◽  
pp. 4545-4553 ◽  
Author(s):  
Geon-Tae Hwang ◽  
Donggu Im ◽  
Sung Eun Lee ◽  
Jooseok Lee ◽  
Min Koo ◽  
...  

Author(s):  
Naim Harb ◽  
Smail Niar ◽  
Mazen A. R. Saghir

Embedded system designers are increasingly relying on Field Programmable Gate Arrays (FPGAs) as target design platforms. Today's FPGAs provide high levels of logic density and rich sets of embedded hardware components. They are also inherently flexible and can be easily and quickly modified to meet changing applications or system requirements. On the other hand, FPGAs are generally slower and consume more power than Application-Specific Integrated Circuits (ASICs). However, advances in FPGA architectures, such as Dynamic Partial Reconfiguration (DPR), are helping bridge this gap. DPR enables a portion of an FPGA device to be reconfigured while the device is still operating. This chapter explores the advantage of using the DPR feature in an automotive system. The authors implement a Driver Assistant System (DAS) based on a Multiple Target Tracking (MTT) algorithm as the automotive base system. They show how the DAS architecture can be adjusted dynamically to different scenario situations to provide interesting functionalities to the driver.


2018 ◽  
Vol 8 (9) ◽  
pp. 1552 ◽  
Author(s):  
Youngsoo Kim ◽  
Young Lee ◽  
Seokhyeon Hong ◽  
Kihwan Moon ◽  
Soon-Hong Kwon

The development of an efficient silicon-based nanolight source is an important step for silicon-based photonic integrated circuits. We propose a high quality factor photonic crystal nanocavity consisting of silicon and silica, which can be used as a silicon-compatible nanolight source. We show that this cavity can effectively confine lights in a low-index silica layer with a high confinement factor of 0.25, in which rare-earth dopants can be embedded as gain materials. The cavity is optimized to have a high quality factor of 15,000 and a mode volume of 0.01 μm3, while the resonance has a wavelength of 1537 nm. We expect that the high confinement factor in the thin silica layer and the high quality factor of the proposed cavity enable the cavity to be a good candidate for silicon-compatible nanolight sources for use in nanolasers or light-emitting diodes in the telecommunication wavelength region.


2013 ◽  
Vol 3 (9) ◽  
pp. 1523 ◽  
Author(s):  
Gunther Roelkens ◽  
Utsav Dave ◽  
Alban Gassenq ◽  
Nannicha Hattasan ◽  
Chen Hu ◽  
...  

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