So, let me print out the resulting set of particles.

Size of particles

Number of particles

So, what you've gotten here is a set of particles that are all co located .

The set over here of 6 particles in total, will now be the new posterior.

So, let's do this let me set N 1000 for 1000 particles.

We feed in over here particles with associated important weights and a control and a measurement, and then we construct the new set of particles by picking particles from our previous set at random with replacement but in accordance to the importance weights, so important particles are picked more frequently.

Particles

Particles

Particles

We're creating a new set of particles called P3 it's an empty set in the beginning, and inside this routine, every time I resample,

So, instead of having a complete random set of particles, like we had before, the resampling step we can see this already gives me particles of very similar X and Y positions.

As the robot then enters 1 of the offices, the symmetry is broken and the correct set of particles survive.

To answer this question assume we make a new particle set with N 5 new particles where particles are drawn independently and with replacement.

The number of particles of this gas.

Create particles...

virtual particles'.

It's filled with virtual particles and anti particles.

Count of particles in the measureRect

Concentration of particles in the measureRect

Pressure of particles in the measureRect

Temperature of particles in the measureRect

Those particles together those thousands of particles are now clustered in a single location.

These are not particles, but they behave like particles.

So, a single particle over here, if drawn multiple times, gives a set of particles like the ones over here.

The next step is another measurement step, and here I'm illustrating to you that indeed this nonuniform set of particles

They way to set the number of particles is often done by looking at the total non normalized importance weights.

If you look at this particle set over here, almost all the particles sit over here.

I think there is certainly a correlation between adjacent particles in the selection of particles.

Variance of pressure of particles in the measureRect

Variance of temperature of particles in the measureRect

Particles of dust float in the atmosphere.

Mean velocity of particles in the measureRect

Mean mass of particles in the measureRect

Total mass of particles in the measureRect

Create gas particles

Variance of mean velocity of particles in the measureRect

Variance of mean mass of particles in the measureRect

Variance of total mass of particles in the measureRect

Here's my initial set of particles it's going to be an empty list, and I want you to fill in some code after which we have 1000 particles assigned to this vector over here.

If you set size attenuation to false, the particles will have a size of 35 units in the world itself, instead of 35 pixels.

Mean kinetic energy of particles in the measureRect

Objects can also be formed out of particles.

In fact, all particles are excitations of fields.

Energy is exchanged between particles and systems of particles, but there is no net energy lost to radiation.