R3000 Detector Options

Scienta R3000 has a similar detector interface to the larger Scienta R4000 spectrometer, which means that the detector covers a very large kinetic energy range. As much as 12% of the pass energy is recorded simultaneously, which together with the large acceptance angle gives very high transmission and detection efficiency, for fast measurements. There are several detection systems available for the Scienta R3000.

MCP-CCD Camera System for PES/ARPES

The R3000 electron spectrometers are delivered with a MCP/CCD detection system as a standard. This detection system is based on a 40 mm multi-channel plate (MCP) detector monitored by a FireWire CCD camera. The 2D detector image is seen in real time on the computer screen or on an external monitor, which allows for complete control over the experimental conditions and easy adjustment of, for example, intensity optimisation.

The MCP-CCD camera system yields high speed, two dimensional recordings at excellent resolution. It has an extraordinary signal-to-noise ratio due to its intelligent noise reduction system, in which the noise level is entirely controlled by the computer. Instead of a simple discriminator, the noise is removed by an image analysis process. This makes it possible to distinguish true events from noise, and gives a more accurate intensity scale (larger dynamic range) in the measurements.

This detection system can be operated in Quick Mode, where a spectrum can be recorded within seconds by taking a snap shot of the detector image, covering 12% of the pass energy.

 MCP/CCD detector data sheet

Time-resolved PES/ARPES

The Scienta R3000 can be provided with a delay-line detector to give information about the detection time of the electron as well as its position on the 2-D detector (corresponding to energy and spatial/angular information). It features true counting, highly linear signal transfer and can also be used to trigger other detectors. This detector also functions as a Scienta standard detector for energy distribution curves (EDCs) and 2-D data acquisition.