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before i forget this is a quick particle demonstration the first is a brap barrage you use for smaller farts and don't want to copy paste the same particle over and over. there's one fart every second the second is for huge farts. very huge farts that air out... show more

Shokiekins (COMM SLOTS: 3/3) 🐾

4,979 subscribers

35,766 просмотров • 1 год назад •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

Комментарии: 6

Фото профиля NormHal HueMann

NormHal HueMann1 год назад

Small toots that indicates the timer on the curry-shaped bomb in her system is tickin' down

Фото профиля she oneesan on my skunk til i kusai (heehee)

she oneesan on my skunk til i kusai (heehee)1 год назад

erm oomf just dropped peak?

Фото профиля Birdy~

Birdy~1 год назад

Oomf needs to animate more often🥹

Фото профиля Strikerkb12

Strikerkb121 год назад

Nice work, love rapid fire farts

Фото профиля Homino

Homino1 год назад

I freaking love it ~~~ 🥵🤤🥵🤤🥵🤤

Фото профиля Mango

Mango1 год назад

Personally i would NOT stand behind her.....

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This is what happens when thinking about Trump consumes every second of your life. Don’t do this. If you do, you’ll turn into James Carville. Turn on the sound for 5 seconds, and it becomes undeniable that this man has completely lost his mind. He’s now yelling at Trump for “smelling [his] own farts” and to let Lindsey Graham smell them instead. “I want you to call Lindsey and be sure that he has the fart ringtone so he knows to get down to the White House quickly to get his nose up your ass and so you can fart in his face!” “Stop smelling your own farts, you son of a b*tch!” “That’s Lyndsey’s job.”

This is what happens when thinking about Trump consumes every second of your life. Don’t do this. If you do, you’ll turn into James Carville. Turn on the sound for 5 seconds, and it becomes undeniable that this man has completely lost his mind. He’s now yelling at Trump for “smelling [his] own farts” and to let Lindsey Graham smell them instead. “I want you to call Lindsey and be sure that he has the fart ringtone so he knows to get down to the White House quickly to get his nose up your ass and so you can fart in his face!” “Stop smelling your own farts, you son of a b*tch!” “That’s Lyndsey’s job.”

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Final Lecture of our Statistical Mechanics Series. Lecture 2 showed how we move from the Full Phase-Space Density ρ(q₁, …, qₙ, p₁, …, pₙ, t) to smaller statistical objects by integrating out variables we do not want to keep. That gives reduced descriptions like the One-Particle Density f₁(q₁,p₁,t) and the Two-Particle Density f₂(q₁,p₁,q₂,p₂,t) This was the simplification. Now comes the catch. If the Full Density obeys Liouville’s Equation, the reduced densities do not evolve independently. The equation for one level depends on the next one and this is referred to as the BBGKY hierarchy. The One-Particle Density depends on the Two-Particle Density. The Two-Particle Density depends on the Three-Particle Density. And the chain keeps going. That happens because particles interact. Once one particle feels the rest, one-particle information is no longer enough. Correlations enter, and the lower level is fed from above. If the full Hamiltonian is H = Σᵢ pᵢ²/(2m) + Σᵢ U(qᵢ) + (1/2) Σᵢ Σⱼ≠ᵢ Φ(qᵢ − qⱼ) then reducing the full density does not make the interaction terms disappear. It leaves behind coupling to higher-order reduced densities. So, schematically, ∂f₁/∂t + transport of one particle = interaction term involving f₂ and more generally the heirarchy is such that ∂fₛ/∂t + s-particle transport = interaction term involving fₛ₊₁ Therefore, Lecture 3 is really about the price of reduction. We simplify the description, but the information we remove comes back as coupling to higher-order correlations. So, how do you actually compute anything if every level depends on the next one? This is the so-called Closure Problem. To make the hierarchy usable, you need an extra assumption that cuts the chain. You replace the exact higher-order object by an approximation in terms of lower-order ones. The most basic example is a factorized closure at the pair level, where the exact correlated Two-Particle Density is replaced schematically by a product of One-Particle Densities: f₂(q₁,p₁,q₂,p₂,t) ≈ f₁(q₁,p₁,t) f₁(q₂,p₂,t) That approximation is not exact. It throws away part of the correlation structure. But it gives you something the raw hierarchy does not... a closed equation for the lower-level description. That is why closure matters so much. Without it, the hierarchy is exact but open. With it, the theory becomes approximate but usable. Thus, the combined point of this final Statistical Mechanics post is simple. First, reduced descriptions are not closed because interactions generate correlations across levels. Second, if you want a workable Kinetic Theory, you must close the hierarchy by approximating those higher-order correlations. It is the bridge from formal many-body mechanics to equations people can actually solve. In the render, that is exactly the story you are seeing. The first part shows the hierarchy itself: one reduced level feeding the next, with lower descriptions inheriting structure from higher ones. The second part shows the closure step where the exact correlated pair level is replaced by a factorized ansatz, and that approximation gives back a closed one-particle description. That is, the animation moves from dependence to approximation, and from approximation to solvability. #StatisticalMechanics #BBGKY #ClosureProblem #KineticTheory #PhaseSpace #ReducedDistribution #HamiltonianMechanics #MathematicalPhysics #Mathematics #Physics

Final Lecture of our Statistical Mechanics Series. Lecture 2 showed how we move from the Full Phase-Space Density ρ(q₁, …, qₙ, p₁, …, pₙ, t) to smaller statistical objects by integrating out variables we do not want to keep. That gives reduced descriptions like the One-Particle Density f₁(q₁,p₁,t) and the Two-Particle Density f₂(q₁,p₁,q₂,p₂,t) This was the simplification. Now comes the catch. If the Full Density obeys Liouville’s Equation, the reduced densities do not evolve independently. The equation for one level depends on the next one and this is referred to as the BBGKY hierarchy. The One-Particle Density depends on the Two-Particle Density. The Two-Particle Density depends on the Three-Particle Density. And the chain keeps going. That happens because particles interact. Once one particle feels the rest, one-particle information is no longer enough. Correlations enter, and the lower level is fed from above. If the full Hamiltonian is H = Σᵢ pᵢ²/(2m) + Σᵢ U(qᵢ) + (1/2) Σᵢ Σⱼ≠ᵢ Φ(qᵢ − qⱼ) then reducing the full density does not make the interaction terms disappear. It leaves behind coupling to higher-order reduced densities. So, schematically, ∂f₁/∂t + transport of one particle = interaction term involving f₂ and more generally the heirarchy is such that ∂fₛ/∂t + s-particle transport = interaction term involving fₛ₊₁ Therefore, Lecture 3 is really about the price of reduction. We simplify the description, but the information we remove comes back as coupling to higher-order correlations. So, how do you actually compute anything if every level depends on the next one? This is the so-called Closure Problem. To make the hierarchy usable, you need an extra assumption that cuts the chain. You replace the exact higher-order object by an approximation in terms of lower-order ones. The most basic example is a factorized closure at the pair level, where the exact correlated Two-Particle Density is replaced schematically by a product of One-Particle Densities: f₂(q₁,p₁,q₂,p₂,t) ≈ f₁(q₁,p₁,t) f₁(q₂,p₂,t) That approximation is not exact. It throws away part of the correlation structure. But it gives you something the raw hierarchy does not... a closed equation for the lower-level description. That is why closure matters so much. Without it, the hierarchy is exact but open. With it, the theory becomes approximate but usable. Thus, the combined point of this final Statistical Mechanics post is simple. First, reduced descriptions are not closed because interactions generate correlations across levels. Second, if you want a workable Kinetic Theory, you must close the hierarchy by approximating those higher-order correlations. It is the bridge from formal many-body mechanics to equations people can actually solve. In the render, that is exactly the story you are seeing. The first part shows the hierarchy itself: one reduced level feeding the next, with lower descriptions inheriting structure from higher ones. The second part shows the closure step where the exact correlated pair level is replaced by a factorized ansatz, and that approximation gives back a closed one-particle description. That is, the animation moves from dependence to approximation, and from approximation to solvability. #StatisticalMechanics #BBGKY #ClosureProblem #KineticTheory #PhaseSpace #ReducedDistribution #HamiltonianMechanics #MathematicalPhysics #Mathematics #Physics

Mathelirium

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Another reason why my farts are so big - I hold them and build up pressure for one huge rip. This is me *not* holding them. Pressing record every time i felt one coming. This is in the span of about 45min. Now i try and sleep. Im still farting as i post this.

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Another reason why my farts are so big - I hold them and build up pressure for one huge rip. This is me not holding them. Pressing record every time i felt one coming. This is in the span of about 45min. Now i try and sleep. Im still farting as i post this.

⚠️ᴄᴏɴᴛᴇɴᴛꜱ ᴜɴᴅᴇʀ ᴘʀᴇꜱꜱᴜʀᴇ ⚠️

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