Can’t even explain it to myself.
Can you explain your grad school research to relatives over Thanksgiving Dinner? - Journal of Astrological Big Data Ecology
Submitted 3 weeks ago by fossilesque@mander.xyz to science_memes@mander.xyz
https://jabde.com/2022/11/18/explain-your-research-cya/
Comments
idiomaddict@lemmy.world 2 weeks ago
I recorded conversations held by non-native German speakers who learned mostly in classes and compared their particle (well, just, right, etc.) usage with that of non-native speakers who learned mostly without instruction. Then I compared those to native speakers. Now I just have to make the case for better particle instruction in German classes. It should be easy because I’ve already illustrated that particle usage is important for communication and affects the perceived language skill of the user, but ugh, writing.
LH0ezVT@sh.itjust.works 2 weeks ago
Hömma! Also ja, gell, das ist halt auch… doch ja schon.
Was wollte ich eigentlich sagen?
idiomaddict@lemmy.world 2 weeks ago
Mach’s ruhig weiter! Ich finde es eben noch schwer, sie richtig einzusetzen.
Ich hab das Thema gewählt, weil jemand mir nach vier Jahren in Deutschland erklärt hat, genau was „ruhig” eigentlich bedeutet (mit ruhiger Seele oder ohne ein schlechtes Gefühl zu haben, für Nichtmuttersprachler). Ich dachte, es war etwas wie “ich sage niemandem, es bleibt unser kleines Geheimnis.” Aber denk mal an Situationen in denen man das sagt- ich glaube, ich hätte nie bemerkt, dass es falsch war. Ich hätte es aber bestimmt falsch benutzt 😅
PM_ME_VINTAGE_30S@lemmy.sdf.org 3 weeks ago
Goddammit now I want to talk about wavelets and my research 😆
fossilesque@mander.xyz 3 weeks ago
By the power of being a mod, I command you to spill the beans. 🫘
PM_ME_VINTAGE_30S@lemmy.sdf.org 2 weeks ago
Okay here are the 🫘:
Wavelets:
So the best way to begin explaining wavelets is through analogy to music. (I’m cheating a bit since this explanation is alluded to in the article 😆)
It is a nontrivial practical fact that you can express any reasonable sound as a sum of sine waves. Yes, by combining enough sine waves (which individually “move” for all time) in just the right weights, you can come up with “any” sound you want. And then, it turns out that if you give me just the weights, I can give you back the sound itself. And as a final physical fact, it turns out that we hear the weights of any given sound, averaged over some finite window of time (more on this window in a minute). Hence why we can pick out instruments from a band. And lastly, some phenomenon are easier to analyze by looking at the weights; music is an excellent example. In fact, when I mix music in my rapidly diminishing free time, I am often staring at a graph of the weights and seeing this these weights add together and make the instruments work together.
Formally, we use one of the Fourier transform frameworks. Each weight is associated to one unique sine with a given frequency. The size of the weight is called the frequency response at that frequency.
Now for many, many purposes, breaking up a signal in terms of sines is a perfectly appropriate choice. However, what you lose when you choose to look at just the weights is all timing information. (This is why I included the detail about the window in how you hear stuff. If you heard all frequencies over all time with no window, you would not be able to perceive rhythm.) The solution in music often is to simply impose a window on the signal and slide it as the play head moves.
However, we must now leave the realm of music to talk about wavelets in a domain where they are typically used. Now imagine you want to apply all your intuition about music [more accurately, theory of sound, not music theory] to seismic signals. Well… unfortunately, we really do care about the timing of these signals. So instead of ditching all the magical techniques of linear algebra and transform analysis, we can pick a new set of waves and decompose in terms of those. I.e., we use a transform “midway” between the Fourier transform and the identity transform (doing nothing, just working with the raw signal).
One way to do this is to start with a wavelet: any waveform with zero average and finite “length”. Then, you take this mother wavelet, and you create child wavelets by stretching and/or shifting the mother wavelet. Then, you break up your signals in terms of the wavelets. (I think you pick wavelets based on what you want to find. For example, if you want to find sharp changes, you can pick a Haar wavelet, which is basically a family of rectangles. And then, you can pick wavelets based on their statistics so that the variances and higher order statistics vanish.)
My favorite book on Wavelets, and one of my personal favorite books, is A Wavelet Tour of Signal Processing: The Sparse Way by Mallat. It’s a bit mathematically challenging, but it’s such a fun read. One of the few books I actually own in print. And it’s one those cool fields in math where you basically just start with like pure math and end up with some incredibly practical results and algorithms.
Research:
My background is in control theory. I work on analyzing dynamical systems, specifically large-scale, complicated (typically people use the word “complex”, but I really mean complicated, because all the systems I work on evolve in real spaces) systems that evolve in time according to differential equations (e.g. electronic circuits, mechanical systems, power systems) or difference equations (e.g. sampled versions of the above). The goal of my research is to make just enough assumptions and prove it using calculus so future generations don’t have to do so much calculus…because you have to do so much calculus that not even a supercomputer can solve it.
PM me for more details since I’m not quite ready to dox myself 😆
Infamousblt@hexbear.net 2 weeks ago
BierSoggyBeard@feddit.online 3 weeks ago
Oh, please give me the opportunity. I love boring the shit out of people.
fossilesque@mander.xyz 3 weeks ago
Do it please!
BierSoggyBeard@feddit.online 2 weeks ago
I mixed a harmless salt in water (called a tracer, because it’s easy to detect), and injected it into the ground. Then i used a huge pneumatic drill with a special geophysics tool (measuring resistivity) to chase down where the salt was moving before it diluted too much to find.
Its called a Tracer Test, and it’s pretty common for characterizing aquifers. What made my test unique was proving the usefulness of a geophysics tool to chase down the changes in geochemistry.Faster, more responsive than installing a network of monitoring wells ahead of time.
I’ve now told you enough that i may have absolutely given my identity away.
Grad level science is a much smaller world than you might think.
huquad@lemmy.ml 3 weeks ago
I set stuff on fire and they pay me for it
fossilesque@mander.xyz 3 weeks ago
Are you in New Mexico, by chance?
huquad@lemmy.ml 3 weeks ago
Naa, lot of my buds went there though. Whole lot of empty space to blow stuff up
LH0ezVT@sh.itjust.works 2 weeks ago
My relatives proof-read my master thesis, I owe them quite a bit for that. That being said, they still ask me “what do you actually do?”
To be fair, I ask myself the same.
weariedfae@sh.itjust.works 2 weeks ago
I made a geologic map of this one area.
Tar_alcaran@sh.itjust.works 3 weeks ago
I hate this because it’s true.