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#Smart timer collision mode code
#Smart timer collision mode download

Use the built in photogate tape guide to use our Mylar Photogate Tape for measuring the speed and acceleration of fast moving objects that are too large to pass through the Smart Gates. Smart Gates also include an auxiliary port for daisy chaining an extra Photogate Head or a Time of Flight Accessory. The rise and fall times of Smart Gate measurements are faster than any other photogate, which results in more accurate timing. Smart Gates contain two photogates spaced 1.5 cm apart which gives them a more accurate measurement of speed over any traditional photogate.

Determining g, acceleration due to gravity.

Photogates can also measure the rotation of a pulley with wide enough spokes that act as “flags” to block the photogate’s infrared beam. Using a “Picket Fence” (a card with multiple flags), students can calculate acceleration. The smaller the flag length, the more “instantaneous” the measurement becomes. Using the flag length, and the blocked time, students can calculate speed. Photogates are a timing device that measure times of the changes in state of an infrared beam that is blocked by a flag of known length, as well as the times the beam is unblocked. Physics teachers prefer photogates over traditional stopwatches due to their increased accuracy.

#Smart timer collision mode download

You can also download the latest release in the releases tab.Photogates are a staple of every physics lab, used to teach students fundamental concepts about measuring time intervals and calculating speed and acceleration from their measurements.

#Smart timer collision mode code

You can run the java source code by starting the main routine in the Controller class.

When using a max depth that is to large, the overhead of the further space divisions takes more time than it would take to calculate the divided groups with the basic algorithm. If a smaller max depth is used then the groups in the resulting spaces will be to large which causes the basic algorithm to take a long time. The max depth of the space algorithm has a big impact on the resulting calculation time.įor every amount of objects, there will be an optimal max depth to ensure the maximum calculation speed. While this slow down is very minor, it is something to keep in mind when the target is to simulate a small amount of objects. When simulating low amounts of objects, the overhead the smart space division provides can slow down the calculations. While this helps, it is not enough to come close to the speed increase provided by the smart space division algorithm. This could lead to a speed improvement of about 2 times. The basic algorithm can be optimised so pairs that contain the same objects in a different order then a previously tested shot are not tested. While the time varies a tiny bit between different frames, the gap between the performance of the basic and smart algorithm stays large. While the basic algorithm is good enough for a low amount of objects, the difference is clearly visible when simulating the 10000 objects in the test.Īs seen in the preview images, the basic algorithm takes about 322 ms to calculate 1 frame while the smart algorithm takes only about 5ms. This is the reason why this algorithm is faster than the basic algorithm.Īn example of the program using the basic algorithm.Īn example of the program using the smart space division algorithm. Objects only have to be tested with other objects of the same space because of the way the spaces are divided. The program walks through the tree structure and uses the basic algorithm to detect collisions between the objects in a space. When the division is complete, a tree like structure has been formed. When the max depth is reached or a further division is useless, the division is stopped.Ī division is useless when 1 or 2 of the resulting spaces contains the same amount of objects as the parent space. The left and right space are then divided along the y-axis in the same manner.

When objects overlap the median, they are added to the both the spaces. This algorithm first divides the objects along the x-axis by calculating the median of all x positions.Īll objects to the left of the median are added to the left space and the objects to the right to the right space.

If they overlap the collision response is calculated. This loops over every possible object pair and checks if they overlap. This algorithm is made up of a double for loop. It uses the swing library to display the circles on a GUI with a button to change detection mode and a timer that shows the time The test simulates 10000 circles with random velocities in a closed room.Īn elastic collision response is used to calculate the resulting velocities after a collision. This program tests if the smart space division algorithm is faster than basic collision detection.