A software solution for the control, acquisition, and storage of CAPTAN network topologies

An all silicon pixel telescope has been assembled and used at the Fermilab Test Beam Facility (FTBF) since 2009 to provide precise tracking information for different test beam experiments with a wide range of Detectors Under Test (DUTs) requiring high resolution measurement of the track impact point. The telescope is based on CMS pixel modules left over from the CMS forward pixel production. Eight planes are arranged to achieve a resolution of less than 8 μm on the 120 GeV proton beam transverse coordinate at the DUT position. In order to achieve such resolution with 100  150 μm 2 pixel cells, the planes were tilted to 25 degrees to maximize charge sharing between pixels. Crucial for obtaining this performance is the alignment software, called Monicelli, specifically designed and optimized for this system. This paper will describe the telescope hardware, the data acquisition system and the alignment software constituting this particle tracking system for test beam users.

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“…A complete software solution for interfacing with the CAPTAN system has been designed for Microsoft Windows using Microsoft Visual C++ 2008 [6].…”

Section: The Daq: Softwarementioning

confidence: 99%

The pixel tracking telescope at the Fermilab Test Beam Facility

Kwan

Lei

Menasce

et al. 2016

Nuclear Instruments and Methods in Physics Research Section A:

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“…The data acquisition station is a Compact And Programmable daTa Acquisition Node (CAPTAN) [4,5,6]. Each CAPTAN has a gigabit Ethernet link.…”

Section: System Overviewmentioning

confidence: 99%

An application using micro TCA for real-time event assembly

Rivera

Prosser

Uplegger

et al. 2012

2012 18th IEEE-NPSS Real Time Conference

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the Computing Sector at the Fermi National Accelerator Laboratory has undertaken the effort of designing an AMC that meets the specifications within the MicroTCA framework. The application chosen to demonstrate the hardware is the real-time event assembly of data taken by a particle tracking pixel telescope. In the past, the telescope would push all of its data to a PC where the data was stored to disk. Then event assembly, geometry inference, and particle tracking were all done at a later time. This approach made it difficult to efficiently assess the quality of the data as it was being taken -at times, resulting in wasted test beam time. Now, we can insert in the data path, between the telescope and the PC, a commercial MicroTCA crate housing our AMC. The AMC receives, buffers, and processes the data from the tracking telescope and transmits complete, assembled events to the PC in real-time. In this paper, we report on the design approach and the results achieved when the MicroTCA hardware was employed for the first time during a test beam run at the Fermi Test Beam Facility in 2012.

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“…Currently, the computer will further process the data using specially designed software [8] and apply the Independent Component Analysis algorithm in order to achieve source separation.…”

Section: Readout and Processing Systemmentioning

confidence: 99%

MEMS acoustic array embedded in an FPGA based data acquisition and signal processing system

Turqueti

Saniie

Oruklu

2010

2010 53rd IEEE International Midwest Symposium on Circuits and Systems

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Acoustic arrays are currently utilized in many different applications, ranging from consumer electronics to military systems. Active research on sensors, hardware, algorithms, and system integration specific to acoustic arrays are ongoing on a wide range of engineering fields. Applications such as sound source separation, sound navigation, sound imaging, and speech recognition are few of the many possible applications that benefit acoustic sensor array. Using multiple sensors in arrays has many advantages; however it is also more challenging. As the number of signals increases, the complexity of the electronics to acquire and process the data will grow as well. Such challenge can be quite formidable depending on the number of sensors, processing speed, and complexity of the target application. This paper describes the design and implementation of a 52 microphone MEMS array, embedded in an FPGA platform with real-time processing capabilities. The paper also provides the first results on the use of acoustic array as a source separation system utilizing Independent Component Analysis (ICA) technique.

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A software solution for the control, acquisition, and storage of CAPTAN network topologies

Cited by 10 publications

References 1 publication

The pixel tracking telescope at the Fermilab Test Beam Facility

The pixel tracking telescope at the Fermilab Test Beam Facility

An application using micro TCA for real-time event assembly

MEMS acoustic array embedded in an FPGA based data acquisition and signal processing system

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