Pixie-Net XL

This product is part of our Early Adopter Program.

The Pixie-Net XL is a multi-channel digital pulse processor for radiation detectors in desktop format with integrated Linux operating system. It is designed for

  • high precision γ-ray spectroscopy with HPGe detectors,
  • timing with fast scintillators,
  • pulse shape analysis to extract time, position, and/or particle type, and
  • distributed data acquisition using IEEE 1588 high accuracy (White Rabbit) to synchronize multiple units over the Ethernet network.
SKU: PIXIE-NET-XL Categories: ,

The Pixie-Net XL integrates a Linux platform with real time digital pulse processing. Data acquisition can be managed through local Linux C programs, webpages, or web API functions for control interfaces running on remote computers. C programs are kept simple and can be compiled on the Pixie-Net XL itself to facilitate customization by users.

The pulse processing is equivalent to the Pixie-16 (internal link), but with higher throughput, dedicated 1G or 10G Ethernet output for list mode data, and delivered in a compact, cost-effective package. Configurable signal processing characteristics give you flexibility in detector choice. Coincidence and pulse shape analysis logic can be applied in real time to reduce the amount of data that needs to be transferred to final storage.

The Pixie-Net XL is available in a variety of digitizing options, channel density, and input connector formats. Multiple units can be operated synchronously through shared clocks and rear panel trigger I/O, or through network time synchronization using the IEEE 1588 high accuracy profile (White Rabbit). Either method reaches sub-nanosecond precision in time-of-flight style timing measurements.

Additional information

Bit Resolution

12, 14

Digitization Frequency (MHz)

125, 250, 500

Channels

8, 16

Interface

Ethernet, USB

Form Factor

Desktop

Triggering

Coincident, External, Free

Data Format

Event, MCA, Waveform

Time Resolution

picoseconds

Pulse Shape

Exponential Decay, Semi-Gaussian, Semi-Rectangular

Expansion

Networked