Simon saw this thumbnail (by the channel Mind Your Decisions) among the YouTube recommended videos and sat down to solve it, without watching the video, so that he doesn’t see the solution before he comes up with his own.
Simon’s visualization of the notorious thee-body problem (two stars and a particle) in 1D: https://editor.p5js.org/simontiger/sketches/WTUoBaxgo and in 2D: https://editor.p5js.org/simontiger/sketches/B0pQl94pd
Simon saw a prototype of this Galton Board in a video about maths toys (it works similarly to a sand timer in a see-through container). He created his digital simulation using p5.js online editor, free for everyone to enjoy:
Link to the interactive project and the code: https://editor.p5js.org/simontiger/sketches/n6-WZhMC3
Simon built a simple cellular automaton (rule 22) model for fracture. He read about this model a couple nights before in Stephen Wolfram’s “A New Kind of Science” and recreated it from memory.
Stephen Wolfram: “Even though no randomness is inserted from outside, the paths of the cracks that emerge from this model appear to a large extent random. There is some evidence from physical experiments that dislocations around cracks can form patterns that look similar to the grey and white backgrounds above” (p.375).
Today we have heard about a new accident involving a teenager electrocuted by her mobile phone. Luckily, this time it was not a lethal case, but a quick search on the web has revealed that this is no joke: several teens have died in just a few years because they were either holding their phone with wet hands while the phone was being charged at the same time, or dropped their phone into the bath tub while the phone was plugged in, or because they were using wired headphones while charging their phone!
At first Simon and I didn’t believe this could be so dangerous, as he knew for sure that a mobile phone adaptor always has a voltage control built into it that reduces the voltage from 220V to something like 5 to 20V. But then we dove into it and found out that apparently, once a short circuit occurs, the adaptor’s voltage control unit also malfunctions and lets the 220V current through!
Simon’s September visit to CERN has been featured in a World Science Scholars newsletter:
Here’s our update on the World Science Scholars program. Simon has finished the first bootcamp course on the theory and quantum mechanics by one of program’s founders, string theorist Professor Brian Greene and has taken part in three live sessions: with Professor Brian Greene, Professor Justin Khoury (dark matter research, alternatives to the inflationary paradigm, such as the Ekpyrotic Universe), and Professor Barry Barish (one of the leading experts in gravitational waves and particle detectors; won the Nobel Prize in Physics along with Rainer Weiss and Kip Thorne “for decisive contributions to the LIGO detector and the observation of gravitational waves”).
At the moment, there isn’t much going on. Simon is following the second course offered by the program, at his own pace. It’s a course about neurology and neurological statistics by Professor Suzana Herculano-Houzel and is called “Big Brains, Small Brains: The Conundrum of Comparing Brains and Intelligence”. The course is compiled from Professor Herculano-Houzel’s presentations made at the World Science Festival so it doesn’t seem to have been recorded specifically for the scholars, like Professor Brian Greene’s course was.
Professor Herculano-Houzel has made “brain soup” (also called “isotropic fractionator”) out of dozens of animal species and has counted exactly how many neurons different brains are made of. Contrary to what Simon saw in Professor Greene’s course (mainly already familiar stuff as both relativity theory and quantum mechanics have been within his area of interest for quite some time), most of the material in this second course is very new to him. And possibly also less exciting. Although what helps is the mathematical way in which the data is presented. After all, the World Science Scholars program is about interdisciplinary themes that are intertwined with mathematical thinking.
Another mathematical example: in Professor Herculano-Houzel’s course on brains we have witnessed nested patterns, as if they escaped from Stephen Wolfram’s book we’re reading now.
Simon has also contributed to the discussion pages, trying out an experiment where paper surface represented cerebral cortex:
Simon: “Humans are not outliers because they’re outliers, they are outliers because there’s a hidden variable”.
Simon is looking forward to Stephen Wolfram’s course (that he is recording for world science scholars) and, of course, to the live sessions with him. The information that Stephen Wolfram will be the next lecturer has stimulated Simon to dive deep into his writings (we are already nearly 400 pages through his “bible” A New Kind of Science) and sparked a renewed and more profound understanding of cellular automata and Turing machines and of ways to connect those to our observations in nature. I’m pretty sure this is just the beginning.
It’s amazing to observe how quickly Simon grasps the concepts described in A New Kind of Science; on several occasions he has tried to recreate the examples he read about the night before.
In October and early November, Simon was busy with another attempt to simulate SAP-1 (simple as possible processor, an 8-bit computer) in Circuitverse (something that he hadn’t managed to complete when he tried it last time). I’m not even sure if anyone uses Circuitverse for such large-scale projects.
On November 7, Simon finally managed to finish the RAM on his simulated 8-bit computer (a computer where every general-purpose register contains 8 bits and therefore can only process 8 bits of data)! Although he is far from the end of the project, he is convinced that the RAM is the hardest part, so “now everything is going to be okay!”
“RAM was the hardest mainly because I have been trying to build the subcircuit for the RAM myself, which is not going to do it for SAP-2”,(Simon’s next ambition, also an 8-bit computer but with 64K memory, 2K PROM + 62K RAM). “This time the RAM I needed was particularly small, so I built a mini-RAM myself”.
You can view and launch this (unfinished) project via this link: https://circuitverse.org/users/7241/projects/35775
All of Simon’s projects on his Circuitverse page: https://circuitverse.org/users/7241
Simon’s current plan is to record a series of videos based on the Digital Computer Electronics book he uses as a guide in his engineering projects.
These are some simpler circuits from late September, simulated on Tinkercad:
This one’s back from mid-October, forgot to post here.
Simon created a random number generator that generates a frequency, and then picks it back up. Then, it calculates the error between the generated frequency and the picked up frequency. This is one of my community contributions for a Coding Train challenge: https://thecodingtrain.com/CodingChallenges/151-ukulele-tuner.html
Link to project: https://editor.p5js.org/simontiger/sketches/eOXdkP7tz
Link to the random number plots: https://www.wolframcloud.com/env/monajune0/ukalele%20tuner%20generated%20random%20number%20analysis.nb
Link to Daniel Shiffman’s live stream featured at the beginning of this vid: https://youtu.be/jKHgVdyC55M
Simon’s way to celebrate Helloween: a little demo about how red marker reflects red LED light and becomes invisible. A nice trick in the dark!
We also had so much fun with the blue LED lamp a couple days ago when Simon discovered that it projects perfect conic sections on the wall! Depending on the angle at which he was holding the lamp, he got a circle, an ellipse, a hyperbola and a parabola! Originally just a spheric light source we grabbed after the power went out in the bathroom, in Simon’s hands the lamp has become an inspiring science demo tool.
Through the whole moth of October, Simon really loved watching Computer Science and Physics videos by Udi Aharoni, a researcher at IBM research labs and creator of the Udiprod channel https://www.youtube.com/user/udiprod and the Zutopedia website http://www.zutopedia.com/ Simon’s favourite has been the Halting Problem video that he also explained to his little sister.
In the example below, Simon has applied a compression algorithm to a sentence by transforming the sentence into a tree where all the letters have their corresponding frequencies in this sentence. “Can you get back to the sentence? You have to first transform the letters into ones and zeros using the tree (the tree is a way to encode it into ones and zeros that’s better than ASCII)”.