Configure your own TPX3CAM suited to your application​

TPX3CAM Customize

TPX3CAM Specifications
Sensor
Silicon, 300 μm
Sensitive area
14.14 x 14.14 mm
Number of Pixels
256 x 256
Time resolution
1.56 ns
Hits per Pixel
1 Million Hits/s
Max. Read-out Speed
15 - 80 Million Hits/s
Pixel Pitch
55 μm x 55 µm
Energy Resolution
1 keV
Readout
Timepix3
Pixel Operation Mode
Counting, Time of Arrival (ToA), Time over Threshold (ToT), Time of Flight (TOF)
Pixel Deadtime
0,475 µs
Connectivity
10 Gigabit Optical Fiber and 1 Gigabit Ethernet
Weight
2.2 Kg
Dimensions
288 mm x 80 mm x 90 mm
Synchronization
2 TDC channel
External Triggering
Triggerbox with 1 - 4 BNC Channels
Software
Accos (GUI) and Serval (API)

Quantum Efficiency

The quantum efficiency is defined as the ratio of the number of photoelectrons produced by photons impinging on the sensor, to the total number of the photons, and is usually given as a function of the wavelength.

In the manufacturing process the silicon sensor is coated with a ultrathin antireflective coating to increase the quantum efficiency. This is optimized for the emission of the P47 phosphorscreen.

The wavelength range is from 400 nm – 1000 nm. The quantum efficiency is higher than 90%.

Software and Automation

Accos - GUI

Serval - API

Accos is the standalone graphical user interface (GUI) for the detector control and the data acquisition. It is made to visualize and record the incoming data (counts, frames, pixel hits) in real time for direct feedback of the experimental set-up. External triggering and event timestamping can  included easily.  The data export is possible for .tiff, .pgm, .png and via network (jsonimage). The raw data are stored in the .tpx3 format and can be extracted to an open and accessible format.

 

 

For the automation of the experiment ASI offers an API called Serval. The detector can be controlled locally or remotely and is independent of the program language or operation system which is used. The communication with Serval is via a HTTP REST protocol over TCP/IP.  There are no limitation in the software integration and there are seamless integration with Python, LabView, Mathlab and other languages using TCP/IP.