huh? Does the name down mean the quark is down? I mean we talk about spin up and spin down and somehow there is an idea of a projection operator giving you a negative number. In QM the idea of down isn't really the same as the idea of down in say, my appartment. Here I have a down determined by gavity. It means something completely different. So when it comes to naming quarks, is the idea of down more fundamental just because the particle is more fundamental? My conjecture is no. Many particle names say very little about the actual particle. Hell even calling them particles is somewhat arbitrary.
Not to be a downer but there isn't some physical observable called "downness". Of course if you hit the books and start doing some serious predictions you may get to name an observable; and if you do you sure as hell can call it the downness of particles.
I am a grad student in physics and I use a number of different math languages. The first language I ever learned was C so this gave me a natural disposition towards Matlab. Matlab is very powerful and allows visualization options that I do not know how to code in C. Concepts like vectors and matricies make Matlab very useful in data analysis.
Recently in a research project we came across a problem that someone else had solved, but in IDL (another math package). In moving our work to IDL I found that Matlab and IDL had many of the same functionalities, just different syntax. Sort of like starting to program in fortran after learning C. You know how the If...then statement works, you just don't know how many tabs to put before the arguments or were you left your punch cards.
As a student I love Mathematica. No more integral tables or special functions tables. The power of mathematica to do 19th century computations is unparalleled. But I find using it for data analysis difficult.
So my recomendation is the same as if you were going to a foriegn country where many languages are spoken. Pick the most popular one, or the easiest to learn, first. As you want to do more learn more languages.
models are models. You have good models and bad models and experimentation or observation determine which are which. Complexity is not without its successful models. If you think that your 12day forcast comes from statistics you are sorely wrong. In fact it is a causal relation (due to Newton) that is used in most weather prediction. You might be surprised at how extensive the study of complexity is and how often it does not employ statistical formulations. I guess a good place to start is with Lorenz -- famous meteorologist.
This is true . . . unless there is another mechanism that acts as external forcing causing the universe to be constantly forced away from equilibrium. This could result in a classic pattern formation system.
The eye is gone as well as the 'scientia est potentia' (knowledge is power) moto. The new logo should be a little more straight forward. Here are some of my suggestions:
The globe under a microscope (variation on a theme). The 4th ammendment getting pissed on by Calvin.
Slashdot Mirror
huh? Does the name down mean the quark is down? I mean we talk about spin up and spin down and somehow there is an idea of a projection operator giving you a negative number. In QM the idea of down isn't really the same as the idea of down in say, my appartment. Here I have a down determined by gavity. It means something completely different. So when it comes to naming quarks, is the idea of down more fundamental just because the particle is more fundamental? My conjecture is no. Many particle names say very little about the actual particle. Hell even calling them particles is somewhat arbitrary.
Not to be a downer but there isn't some physical observable called "downness". Of course if you hit the books and start doing some serious predictions you may get to name an observable; and if you do you sure as hell can call it the downness of particles.
I am a grad student in physics and I use a number of different math languages. The first language I ever learned was C so this gave me a natural disposition towards Matlab. Matlab is very powerful and allows visualization options that I do not know how to code in C. Concepts like vectors and matricies make Matlab very useful in data analysis.
Recently in a research project we came across a problem that someone else had solved, but in IDL (another math package). In moving our work to IDL I found that Matlab and IDL had many of the same functionalities, just different syntax. Sort of like starting to program in fortran after learning C. You know how the If...then statement works, you just don't know how many tabs to put before the arguments or were you left your punch cards.
As a student I love Mathematica. No more integral tables or special functions tables. The power of mathematica to do 19th century computations is unparalleled. But I find using it for data analysis difficult.
So my recomendation is the same as if you were going to a foriegn country where many languages are spoken. Pick the most popular one, or the easiest to learn, first. As you want to do more learn more languages.
models are models. You have good models and bad models and experimentation or observation determine which are which. Complexity is not without its successful models. If you think that your 12day forcast comes from statistics you are sorely wrong. In fact it is a causal relation (due to Newton) that is used in most weather prediction. You might be surprised at how extensive the study of complexity is and how often it does not employ statistical formulations. I guess a good place to start is with Lorenz -- famous meteorologist.
This is true . . . unless there is another mechanism that acts as external forcing causing the universe to be constantly forced away from equilibrium. This could result in a classic pattern formation system.
(whatever)
The eye is gone as well as the 'scientia est potentia' (knowledge is power) moto. The new logo should be a little more straight forward. Here are some of my suggestions:
The globe under a microscope (variation on a theme).
The 4th ammendment getting pissed on by Calvin.
No but I think I am begining to understand what a kakistocracy is.