Data Acquisition, Storage and Control Architecture for the SuperNova Acceleration Probe

Author

Prosser, Alan ; Cardoso, Guilherme ; Chramowicz, John ; Marriner, John ; Rivera, Ryan ; Turqueti, Marcos

Author_Institution

Fermi Nat. Accel. Lab., Batavia

fYear

2007

fDate

April 29 2007-May 4 2007

Firstpage

1

Lastpage

6

Abstract

The SuperNova Acceleration Probe (SNAP) instrument is being designed to collect image and spectroscopic data for the study of dark energy in the universe. In this paper, we describe a distributed architecture for the data acquisition system which interfaces to visible light and infrared imaging detectors. The architecture includes the use of NAND flash memory for the storage of exposures in a file system. Also described is an FPGA-based lossless data compression algorithm with a configurable pre-scaler based on a novel square root data compression method to improve compression performance. The required interactions of the distributed elements with an instrument control unit will be described as well.

Keywords

NAND circuits; accelerator control systems; astronomical instruments; dark energy; data acquisition; data compression; distributed memory systems; field programmable gate arrays; high energy physics instrumentation computing; infrared imaging; supernovae; FPGA-based lossless data compression algorithm; NAND flash memory; dark energy; data acquisition system; distributed readout memory; infrared imaging detectors; instrument control unit; square root data compression method; superNova acceleration probe instrument; universe; visible light; Acceleration; Dark energy; Data acquisition; Data compression; File systems; Infrared detectors; Infrared imaging; Instruments; Probes; Spectroscopy; Data acquisition; data compression; distributed memories; space vehicle electronics;

fLanguage

English

Publisher

ieee

Conference_Titel

Real-Time Conference, 2007 15th IEEE-NPSS

Conference_Location

Batavia, IL

Print_ISBN

978-1-4244-0866-5

Electronic_ISBN

978-1-4244-0867-2

Type

conf

DOI

10.1109/RTC.2007.4382759

Filename

4382759