Golibrzuch K, Schwabe S, Zhong T, Papendorf K, Wodtke AM. Application of an Event-Based Camera for Real-Time Velocity Resolved Kinetics.
J Phys Chem A 2022;
126:2142-2148. [PMID:
35319892 PMCID:
PMC8996233 DOI:
10.1021/acs.jpca.2c00806]
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Abstract
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We describe here
the application of an inexpensive event-based/neuromorphic
camera in an ion imaging experiment operated at 1 kHz detection rate
to study real-time velocity-resolved kinetics of thermal desorption.
Such measurements involve a single gas pulse to initiate a time-dependent
desorption process and a high repetition rate laser, where each pulse
of the laser is used to produce an ion image. The sequence of ion
images allows the time dependence of the desorption flux to be followed
in real time. In previous work where a conventional framing camera
was used, the large number of megapixel-sized images required data
transfer and storage rates of up to 16 GB/s. This necessitated a large
onboard memory that was quickly filled and limited continuous measurement
to only a few seconds. Read-out of the memory became the bottleneck
to the rate of data acquisition. We show here that since most pixels
in each ion image contain no data, the data rate can be dramatically
reduced by using an event-based/neuromorphic camera. The data stream
is thus reduced to the intensity and location information on the pixels
that are lit up by each ion event together with a time-stamp indicating
the arrival time of an ion at the detector. This dramatically increases
the duty cycle of the method and provides insights for the execution
of other high rep-rate ion imaging experiments.
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