1... heavy guns
3 points
Two machine guns, that are able to shoot bullets of mass
2... accidental drop
3 points
From what height would we need to "drop" an object on a neutron star to make it land with a speed 0,1
3... relativistic Zeno's paradox
6 points
Superman and Flash decided to race each other. The race takes place in deep space as there is no straight beach long enough on Earth. As Flash is slower, he starts with a length lead
4... shoot your rat
7 points
Mirek wants to shoot a rat he sees at the dorm. To that end, he made a simple air gun which can be modeled as a tube with constant cross-section
5... hit him over the knuckles
8 points
Consider a homogeneous rod of constant cross-section and length
P... evaporating asteroid
9 points
A very large piece of ice (let us say with diameter 1 km) is placed near a Sun-like star to a circular orbit. It is placed so close, that the equillibrium temperature of a black body at this distance would be approximately 30 ° C. What will happen with such an asteroid and its orbit? The asteroid is not tidally locked.
E... composition as if by Cimrman
12 points
Get a wine glass, ideally a thin one with a ground edge. First measure the internal diameter of the glass as a function of height from the bottom. Then use it to create sound by moving a wet finger along its edge (this requires pations). Measure how do the frequencies of tones created in this way depend on the height of water in the glass (measure at least 5 different heights and 2 frequencies at each height). Hint: If the walls of the glass are thin, we can assume the internal dimensions are the same as external and measure the diameter as a function of height from an appropriate photograph with a scale. For measuring sound we recommend the free software Audacity (Analyze
S... nonlinear
10 points
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- Try to describe in your own words how and for what purpose nonlinear regression is used (it is sufficient to briefly describe the following: model of nonlinear regression, methods for finding regression coefficients, uncertainties in the determination of regression coefficients, uncertainties in the function being fitted, statistic methods for testing the values of the regression coefficients, how to choose the form of the fitting function). It’s not necessary to describe the concepts mathematically, a brief description in your own words is sufficient.
- In the attached data file regrese1.csv you may find pairs of valuest
. Fit these data with a sine function in the form \[\begin{equation*}
f(x) = a+ b \cdot \sin (c x + d) . \end {equation*}\] Plot the measured values and the fit and comment on it briefly. It’s not necessary to perform regression diagnostics. \\ **Hint:** Be wary of correct constraints for the values of parameter $c$. \\
- In the attached data file //regrese2.csv// you may find pairs of values $(x_i, y_i)$. Fit these data with an exponential function in the form \[\begin{equation*} f(x) = a+ \eu ^{b x + c} . \end {equation*}\] Estimate the values of all regression coefficient including their uncertainties. \\ **Hint:** Using graphical method examine homoscedasticity. You may use Huber-White (sandwich) estimator for determining the uncertainties in estimating regression coefficients if necessary. \\
- In the attached data file //regrese3.csv// find the pairs of values $(x_i, y_i)$. Fit these data with a hyperbolic function in the form \[\begin{equation*}
f(x) = a+ \frac {1}{b x + c} . \end {equation*}\] Plot the measured data in the form of means and error bars and briefly comment on it. Perform the regression diagnostics.
Bonus: In the attached data file regrese4.csv you may find pairs of values
For data processing and creating the plots, you may use the R programming language. Most of these tasks can be solved by slightly altering the attached scripts.