This was a really fascinating video to stumble across. What you've essentially done is transfer the velocity vectors into a "phase" or velocity-space; and summed up the arc-length that is described by their rotation within that space and divided by total time traveled. Really interesting.
Hey Steve, here’s another visual aid. Particle in a box model Thanks for your well produced video. Your viewers might enjoy seeing my personal amateur science project in the visual aid linked below. It uses a sheet of spring-like material buckled from the ends to form a Gaussian curve. This is to represents a two dimensional field with the ends bounded. Seeing the mechanical effect may also takes some of the mystery of what the math is showing. See the load verse deflection graph in the white paper found elsewhere on my RU-vid channel. ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-wrBsqiE0vG4.htmlsi=waT8lY2iX-wJdjO3
@@mejerbimarouen8337 The PSOC was measuring a manually adjusted analog signal, and producing a PWM signal (time varying digital signal). There was no file. The digilent box, and the waveforms app were just being used as an oscilloscope to monitor the various signals in the project. A standard oscilloscope would've worked just as well, only I didn't have one handy at the time.
I am wondered whether the component can be moved after I put it on the screen, or all I can do is just to recreate the same component if I really want to change the position?
Thank you so so much for this sir. I'm a pre med currently trying to figure this out on my mac for circuits 1 (don't ask how i ended up in this class lol). I'll remember you when I',m doing my post-op rotations my man
interesting, I think i missing something in my code... each time I run my code, i get a different plot. Is not supposed to be consistent with the plot but have variable ranges?
@@sspickle makes sense! my familiarity with Python is not high, so I forgot to specify the bins=np.linespace(5,20,21) part after asking for pl.hist(rhoMC). Thank you kindly. Also, I'm assigned to develop an MC analysis for development schedule predictions and figured Python would be a good tool to use. Do you have any recommendations on what to prioritize when exploring Python to develop this analysis tool? Your advice is much appreciated
First, the statstical sampling way is more generative than the quadratic rule that is over simplification. But I also wonder have you thought of sampling from a multivariable covariance distribution instead of single independent?
Yes, I think I replied to a question about that in the comments earlier. You can certainly do it! However, this activity is for sophomore students, just learning about random numbers and estimating uncertainty, so that's really out of scope for this particular video.
10 Years later the quantum computer is still in its embryonic stage, although giants like Google and IBM spend lots of money on their development. Controlling these quantum bits is in practice a lot, lot harder to do than in theory (on a blackboard or a slide) ;-)
I measured the flow rate 'Q' versus the pressure drop 'dP' curve for some experimental setup. Each parameters has an experimental error. I would like to make a polynominal or a power fit of the data using the averages values, dP=aQ^2+bQ+c, or dP=aQ^b. How can I calculate the error of the fit due to the error in both dP and Q?
Where do I learn the requisites for this? Logic circuits is clear, but I get blocked in all Deutsch's Problem explanations in what I don't know these notation/algebra (SQRT(2), spins, etc)
@@ribamarsantarosa4465 hmm. Not sure how else to answer. The pre-req for this class is generally called “Modern Physics”. You could search for material from that class?
@@sspickle I guess I found the wikipedia page "quantum logic gate". I'm maybe also requiring too much from you, because I'm trying to learn as a CS knowing too little about Quantum physics. Nevertheless, I guess however, it'd possible to explain everything under a probabilistic and combinatorics point of view (instead of the physics), because that's what matters (for CS) at the end.... Tnx
Hello, I am having trouble with top directory, i cant change it in the mac, library folder is not a sub folder of user/name but an independent folder itself. Thats why i cant add new models. Do you have an idea how i can fix this problem?
I place a voltage source, but for some reason I cannot acces it's Settings (to set it's voltage and signal). In the right side bar only two windows appear: Component Properties and Custom properties, non of which let me specify a voltage. :(
what's fascinating to me is that in classical mechanics, the potential seems to be able to take any mathematical function of (generalized) position and momentum, but the "potential term" in field theory is limited to powers of the field. No weird terms like exponent, log, or sine and cosine of the field
@@sspickle No worries. I just found your videos and am shocked someone is actually visualizing this stuff. Really a huge shame it doesn't happen more often. I guess improving tech will make it easier.
It is very Hard to me to "see" the stuff there. The one dimmension wave evolve in... 2 Dimension (due to complex number....) but in reality... what's that mean???? What happen in a 2D wave?
One question: you say that from Prob(x)=const it follows that Psi has the form A*exp(-i omega t). I just can't see that. Prob(x)=const means that |Psi(x,t)|^2 = const, so it could have some position dependent phase. E.g. A*exp(-i omega t + i f(x)) for any function f would also lead to a constant probability density for the particle. Am I mistaken here or can you shed some more light on why the phase should be constant in space?
It's a good point. It might be better to say it's the *simplest* assumption one can make about a stationary particle. It gains more support when you consider the interpretation of momentum and probability current related to the gradient of the wavefunction WRT position.
The only notebook is here: github.com/sspickle/instrumentation-projects/blob/master/proj1/Arduino%20as%20a%20Laboratory%20Interface.ipynb . The notebook I showed here with the fit was a "throw away", sorry. You can find lots of fitting examples in the repo.
