PiP reviews and mentions

• [Astro] scipy.optimize.newton raising Value Error when with vectorized numpy array input
  1 project | /r/PhysicsStudents | 28 Sep 2022

  But for the systems b, c, and d, I now get different outputs (see the updated Jupyter notebook.

• scipy.optimize.newton raising Value Error when with vectorized numpy array input
  1 project | /r/learnpython | 28 Sep 2022

  I have some input values in numpy arrays, and I'm trying to use scipy.optimize.newton to find the root of the equation I'm try to solve, and here is the link to the Jupyter notebook.

• [Nuclear Physics, Python] Offsetting one set of data from another while there is some decimal point difference in the x-axis
  1 project | /r/PhysicsStudents | 13 Aug 2022

  Now, I want to subtract the data for background/leaked radiation (named NoScatterMax) from the data I actually want to look at (named Al0). But because of the calibrations I have done, and I did them on two different days, each channel numbers on Al0 and NoScatterMax correpsond to slightly different energy values (shown in the bottom of this Jupyter notebook, where Al90E is the calibrated energy for Al90(which is a subset of Al0), and Aug12EnergyLevels is the calibrated energy level for NoScatterMax.

• [University Physics: Differential Equations] Solving the two-body problem numerically using python
  2 projects | /r/HomeworkHelp | 5 Mar 2022

  I also tried changing the Sun-Earth system to the Earth-Moon system, and set the initial values to be at the Perigee (except angle, which I assume it's 0 radian, but not sure if that't the correct way of doing it). But anyway, after I did all these changes (updated in that Jupyter notebook, here is the link again), I still get straight lines on those plot? What am I missing here?

• [University Physics: Electromagnetism, Python] Fraunhofer diffraction, finding the slit width and separation for multiple slits
  1 project | /r/HomeworkHelp | 8 Oct 2021

  I'm trying to find out the slit width w and separation s, then use the result I got to calculate the expected intensity using this equation. Here is the Jupyter notebook including all of my steps.

• [University Physics: Electromagnetism, python help] Fraunhofer diffraction experiment, analyzing data using python
  2 projects | /r/HomeworkHelp | 8 Oct 2021

  This is totally unrelated to the question I asked above, but when I was trying to find the positions where the dark fringes occur, I had to use the interactive plot to manually find them by inspection (block 7 - 12 of that Jupyter notebook), is there some nice programmatically way of doing that?

• [University Physics: Numerical modeling with ODE with Python] Projectile motion with friction
  1 project | /r/HomeworkHelp | 17 Sep 2021

  Here is the question, and the Jupyter notebook with my attempt so far. I tried to write the second-order ODE as the first-order ODE, but I'm not exactly sure what to do with that constant -g for \ddot y. But anyway, I tried to write the function with the first-order ODE and proceed with the modeling, and ended up with IndexError: index 3 is out of bounds for axis 0 with size 2. I'm not really familiar with the lambda function I used there (basically copied from the earlier example and modified the code from there), but it might be the function I defined itself as well.

• [University Physics: Curve Fitting] Need some help fitting a radioactive decay data with a Gaussian distribution on top of some linear offset using SciPy's curve_fit module
  1 project | /r/PhysicsStudents | 10 Sep 2021

  Thanks for your comment. I was able to fix my previous issues. But now I want to fit all three Gaussian peaks at once, but got ValueError: operands could not be broadcast together with shapes (201,) (60,) when trying to do it like this. I believe I made some mistakes at the last two code blocks. But I can't figure out where.

• [Non-linear curve fitting using Python] Need some help fitting multiple Gaussian peaks at once for radioactivity data
  1 project | /r/PhysicsStudents | 10 Sep 2021

  This is regarding to the last question of this handout. I'm trying to fit some radioactivity data (linked to the Jupyter notebook) with three distinct Gaussian distributions all at once using a single function using Python (data available here. I was able to do the fitting one at a time, but ened up ValueError: operands could not be broadcast together with shapes (201,) (60,) when trying to do all three at once.

• [University Physics: Curve Fitting] Fitting a radioactive decay data (Gaussian distribution plus some linear background offset) using SciPy's curve_fit
  1 project | /r/HomeworkHelp | 30 Aug 2021

  Here is the background of the fit, and I've estimated those constants and offset/background parameters mentioned (see this Jupyter notebook for everything I've done so far). But my fitted model is far from the observation. I think the function I defined (midCountsHat) is not entirely right since I'm not sure how curve_fit handles the parameters that passed into the function. But the estimation of those constants and parameters might also be wrong. So can someone take a look at it and see why my fitted model looks like that?

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