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: The "Ashcroft/Mermin Project"
I will try to (likely very slowly) go through the classic textbook "Solid State Physics" by Ashcroft and Mermin and make one or more animation/visualization per chapter.
This will (hopefully) help people digest the topic and/or be useful to lecturers who are teaching about it. As with all my animations, feel free to use them.
The idea is that the animations are a companion to the book, so I will give only very brief explanations here.

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: The "Ashcroft/Mermin Project"
Chapter 2: Sommerfeld model
Electrons in a metal can be approximated as a Fermi gas, where only one electron can occupy a given state. At low temperature most of them are difficult to excite, because there is no free state available.

Fermi function plotted against energy for increasing temperatures (purple line). A dashed black line represent the Fermi energy, and the thermal energy is represented as a shaded orange area. At the bottom of the plot a number of small disks represent the electron piling up and, when the temperature is high enough) getting randomly excited to higher energy states.

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: The "Ashcroft/Mermin Project" Chapter 4: Crystal Lattices
The "Wigner-Seitz" primitive cell is the region of space that is closer to a given point in the lattice. It has the advantage of being a primitive cell with the same symmetries as the Bravais lattice.

A 3D grid of 3x3x3 points, with the Wigner-Seitz primitive cell around the central point highlighted in grey. The grid starts as cubic, but is then gradually deformed (i.e. the Bravais lattice basis vectors are changed) while showing the changing shape of the Wigner-Seitz cell.

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Not a , but a full beginner-friendly tutorial on how to use speckle correlations for imaging through a scattering medium, complete with a step-by-step guide on how to set up your first experiment and analyse the data:
https://arxiv.org/abs/2404.14088

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Through the years I made a LOT of scientific visualizations (), and lately I ran out of steam.
To get some motivation back I decided to go through a standard undergrad Physics textbook and try to create as many visualizations as I can for it.
Should I go for:

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Common misunderstanding about : the two configurations below have exactly the same entropy, and in both cases the entropy is zero (as you know exactly where each dot is, so there is only one possible microstate they can be in).

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A quantum simple pendulum.
The pendulum position is spread out, with opacity here being proportional to the probability that the pendulum is at that position at a given time. The average position of the quantum dynamics is the same as the classical pendulum dynamics (Ehrenfest theorem).

Technicalities: I used the Crank-Nicholson method to evolve the system in time. This is a 1D problem, and the only variable I considered was the angle, with the initial state being a Gaussian.

Schematic drawing of a simple pendulum oscillating, with its quantum version represented as a distribution of pendula with their transparency proportional to the probability to be at a certain position at any given time.

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The Lorenz system is a common example of chaotic dynamics and of a strange attractor.
Points with very similar initial conditions initially evolve very similarly to each other, until their trajectories diverge from each other, and start moving on a "butterfly"-shaped fractal.

Trajectories of a number of points following the Lorenz system equations, rendered as yellow tubes.

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I've just added to my web page a "brief" introduction to perturbation theory, mostly seen from the Physics point of view.

Typos are likely and (obviously) there would be a LOT more to say about it, but I hope it might help someone:
https://jacopobertolotti.com/PerturbationIntro.html

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A microscope makes an image bigger than the object, i.e. it magnifies it. A telescope makes an image smaller than the object, i.e. it demagnifies it.
Which is good because you want your image of a star to be smaller than a star 🙃

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In the limit of small oscillations, a simple pendulum is isochronous, meaning that its period doesn't depend on how wide the oscillations are.
Once the oscillations get too big, the period starts growing, until they stop looking sinusoidal altogether.

Time evolution (left) and phase space representation (right) of a simple pendulum as a function of its maximum angle.

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If you sample N points uniformly on the unit sphere, take for each the halfway point to the north pole of the sphere, and then project is on the x-y plane, you obtain N points sampled uniformly on the unit disk.

(A request from @narain )

Black and white visualization on N points on a sphere moving smoothly to their halfway point to the north pole and then being projected on the x-y plane.

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:
Signals (e.g. light) move at a finite speed, so there is a time lag between when they are emitted and when they are detected. If the source is moving, the detector will "see" the signal that was emitted at a previous time, not the signal that is being emitted right now, and this time lag can change with time in a complicated way.
(Notice that, as the source is always moving slower than the signal, the detector sees the signals in the same order they were emitted.)

Left panel: a yellow point, representing a source, moving on a thin grey Lissajous curve, and emitting circles at regular time intervals, whose radius grows linearly with time. The colour of the circle changes gradually from red for the first circle to blue for the last one. A white dot just above the Lissajous curve represents a detector. Right panel: a plot of time of emission vs time of detection, with each point appearing when one of the coloured circles hit the detector. The dots form a wavy monotone curve.

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I have added to my personal webpage a brief introduction to fractional derivatives (i.e. derivatives of non-integer order) and fractional calculus.
It is a fun little corner of Math that is a lot less difficult than it might seem, with some applications to the real world.
https://jacopobertolotti.com/FractionalDerivativesIntro.html

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"The Royal Swedish Academy of Sciences has decided to award the 2023 in Physics to Pierre Agostini, Ferenc Krausz and Anne L’Huillier “for experimental methods that generate attosecond pulses of light for the study of electron dynamics in matter.” "
https://www.nobelprize.org/prizes/physics/2023/summary/

j_bertolotti,
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special edition

This year in has been awarded for the work done in generating attosecond laser pulses, and their use to study electron dynamics.

Let me try to give you a lay-person explanation of what that means and why anybody should care.
Imagine you have a box containing a pendulum. You can't see inside, but you can both push the pendulum, and measure how it makes the box shake. Your goal is to find out what the properties of the pendulum are. If you could open the box you could just measure how heavy and long the pendulum is, and you would have mostly everything you need, but you can't. You can push the pendulum, but how should you push it to be able to gain any information?
The pendulum is a relatively simple object, and if left to its own device what it likes to do is to oscillate. If nobody touches it, it will stay still at its rest position, but if you push it, it will start oscillating, and it will tend to oscillate at its own "natural frequency", which define a preferred time scale for the pendulum: its period (the fact that a pendulum likes to always oscillate with its own period is why we can use them as clocks).
If we push the pendulum too slowly, we won't ever see this oscillation, as the pendulum will just follow your push. So we have to push it quickly (ideally a "kick"), let it oscillate how it likes to oscillate, measure how the box is shaking due to this oscillation, and we are done.
For a normal pendulum this is easy to do, but what if we want to measure something smaller and faster?
1/

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Most optical media can be approximated as a collection of dipoles which, when excited by an external field, will oscillate and radiate.
Usually they will oscillate independently from each other, with the total radiated power increasing linearly with the number of dipoles.
But if they all oscillate in phase the emission will interfere constructively, with the total radiated power increasing quadratically with the number of dipoles (superradiance).
Conversely, if they oscillate out of phase the emission will interfere destructively (subradiance).

Left panel: a orange and a purple dot oscillate out of phase to represent a single dipole. Behind them (in a color scale that goes from black, to green, to white) is the emission pattern of the dipole. Central panel: same as before, but now there are two dipoles oscillating in phase next to each other. The emission pattern looks similar to the previous case, but it is much brighter. Right panel: same as before, but now the two dipoles oscillate in antiphase, and the radiation pattern is much weaker.

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Just made this (as a variation on an old animation) for a talk, so why not show it here?
(hand-coded) finite element simulation of a pulse hitting a disordered medium and being scattered around.

A number of randomly arranged grey dots show where the scattering centres are. A green pulse of light arrives from the bottom, hits the scatterers, and is dispersed around.

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In the past I have made a number of threads on Xwitter giving brief explanations of bits of Physics. I now need a less volatile place where to keep them, so I started to copy-paste them into my personal page. I assume it will take me forever to transfer even just a small part of them, but here is a starting point: https://jacopobertolotti.com/LagrangianIntro.html

j_bertolotti,
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One more thread has found its way to my website. This time is the turn of variational calculus!
https://jacopobertolotti.com/VariationalCalculusIntro.html

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Does a chaotic system always behave chaotically?
Not really, as many chaotic systems have a subset of possible initial conditions that lead to a quasi-periodic motion.
As an example, below are two sets (black and orange) of 20 double pendula each, all with the same initial energy, and each group starting with very similar initial conditions.
The first group (black) spread out a little bit with time, but nearby initial conditions keeps evolving into nearby dynamics, which is typical of integrable systems.
On the other hand the pendula in the second group (orange) also starts with similar initial condition, but after a short transient evolve each very differently from each other, which is a mark of a chaotic system.

Simulation of two groups of double pendula. On the left 20 black double pendula that evolve staying very similar to each other. On the right 20 orange double pendula, whose dynamic quickly diverge from each other.

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Can shadows move faster than light?
Not really. There is nothing moving sideways, so nothing is moving faster than light (which, incidentally, mean you can't use shadows to communicate faster than light).
But the edges of the projection of the shadow can indeed appear to move arbitrarily fast.

Many dots move away radially from a centre to represent light. At a distance s small screen block part of the dots/light and move around, with the shape of the shadow following with a lag.

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Magnetic hysteresis: In a ferromagnet the equilibrium configuration is with all magnetic moments aligned with each other. If we want to flip them, we need to flip all of them at the same time, which requires a stronger field than if the moments were independent, resulting in the characteristic hysteresis loop.

(Simulation done by numerically solve the Landau–Lifshitz equation with a tiny bit of noise added to speed the process up on a square grid of magnetic moment with periodic boundary conditions.)

Left: a square gray plan with a grid of short lines coming out of it. Each line represents a magnetic moment, and moves following the Landau–Lifshitz equation. An arrow on the left shows the external magnetic field, which starts from up and gradually decrease to zero and then goes negative. The lines representing the magnetic moments move only a little bit until the field is negative and strong, and then start precessing quickly, until they all flip in the new equilibrium configuration. Right: Plot of the total magnetization as a function of the external magnetic field, showing the characteristic hysteresis loop.

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