Researchers Captured Light Bouncing Off Of Mirrors Using an Ultra Slow-Mo Camera


INTRO: As we all know that light is a component that travels at 29,97,92,458 m/s, which makes it impossible for us to catch a glimpse of it while it’s traveling from one point to a different. Now, it’d seem impossible to capture light when it’s traveling. However, a researcher and his team from a Swiss organization recently proved that it really isn’t by using Slow-mo camera.

Edoardo Charbon, a professor of Swiss Federal Institute of Technology and an expert within the field of ultra-high-speed and 3D optical sensors, recently used an ultra slow-mo camera to record a video of a light-weight trajectory bouncing off of various mirrors.

Now, to capture such a phenomenon, one needs a very advanced camera that will shoot at huge frame rates. So, the professor and his team used the special MegaX camera which is that the first camera to capture the littlest particles of sunshine. This camera features a single-photon avalanche diode-based image sensor that will capture a slow-mo scene at a whopping 24,000 frames per second (FPS).

MegaX camera 1

“The camera operates in gated mode, [meaning] a really fast electronic shutter of three .8 nanoseconds is employed to capture the sunshine because it propagates. Subsequent laser pulses are used, opening the shutter with increasing delay, so on following the propagation along its path. because of the massive number of pixels and therefore the fast shutter, one can see the sunshine propagation in multiple shots without moving the camera and without superposing the pictures to pictures crazy other cameras. Everything is completed on MegaX.”, Charbon explained.

The hardware setup to capture the recording was constructed by one among Charbon’s students, Kazuhiro Morimoto with contributions from two other researchers. However, getting a group and an excellent slow-mo camera wasn’t enough for this experiment.

As light is usually invisible to the human eyes, the team of researchers focussed on the photons from a laser pulse. These pulses from the laser dispersed off various particles within the air. So, by using information about the trajectory of the laser pulse and by calculating the time the laser pulse took to succeed in the camera sensor, the team was ready to frame a 3D light path using machine learning algorithms.

According to Charbon, this experient can have various applications within the world. as an example, it are often used scientific applications within the field of high-energy physics. aside from this, developers and researchers also can use notes from this experiment to reconstruct environments for augmented and computer games.

You can inspect the team’s published paper on the experiment right here.

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