Does Dark Matter?

Jed Rembold

April 12, 2026

Announcements

  • HW11 due tonight
  • HW12 posted: You have everything you need after today
  • Final Project Groups sent out via email?
  • No class on Wednesday! Go support your presenting peers!
    • Presenters from this class:
      • Yumi @ 2:20 in Ford 202
      • Florian @ 3:10 in Ford 202
      • Saul & Cody @ 11:30 in Ford 202

Recap

  • Emcee or MCMCEnsemble can help in running MCMC analysis
  • Both utilize algorithms that adapt the step-size on the fly
    • I know you are tired of trying to optimize step-sizes by now
  • Both also allow for running multiple walkers at once to check for convergence
  • The corners library or ggmcmc allow for easy creation of corner and pairwise plots

Discussing Today

  • Rotation Curves
  • Intro to dark matter?
    • Why do we think it exists?
    • How can we measure it?
    • What ramifications does it have?

Rotation Curves

Circular Speeds

  • Objects traveling in a circle need a force pulling them inwards
  • The amount of force, size of the circle, and speed are related: \[ F_{in} = \frac{mv_{circ}^2}{R} \]
  • For our orbits, the force must be gravity

Velocity Dependence

  • We can work out how the velocity should vary with distance from the center: \[\begin{aligned} F_{grav} &= \frac{mv_{circ}^2}{R}\\ \frac{GMm}{R^2} &= \frac{mv_{circ}^2}{R}\\ \frac{GM}{R} &= v_{circ}^2 \end{aligned} \]
  • For nicely symmetric mass distributions, \(M\) can be taken to be the total mass internal to the radius \(R\), or \(M_{in}(R)\) \[ v_{circ}(R) = \sqrt{\frac{GM_{in}(R)}{R}} \]

Consistent Mass

  • Consider the mass distribution to the right
  • How would the resulting velocity curve look as you moved away from the center?

Consistent Density

  • Consider instead the spherically symmetric density distribution to the right
  • How would the resulting velocity curve look as you moved away from the center?

Visualizing Rotations

Activity

  • I am providing you with two density profiles below:
  • For each, you can assume that the density beside a distance describes the density between that distance and the previous distance
  • You task is to generate velocity curve profiles for each. You can assume a spherical distribution of the material.
  • How do they compare (both to one another and the distributions we just looked at)?
  • If using dataframes, lag/shift, coalesce/fillna, and cumsum may be helpful!
    • Or you can just loop things

Why Dark Matter?

Surprises

  • The second velocity curve is what astronomers expected to see when looking at the Milky Way and other galaxies
    • Would be consistent with the visible light we saw from the galaxy and known star masses
  • But instead…

Rotation Curve: Milky Way

Rotation Curve: Others

Possibilities

  • Determining how to reconcile the mass that we see, with the mass that the rotation curves predict, has been an ongoing struggle
  • Current estimates predict between 5-10 times as much mass as we see
    • Spread somewhat evenly throughout the visible galaxy and far beyond
  • Definitely does not seem to have the majority of mass concentrated at the center
  • Are we missing dark objects?

Being MACHO

  • What other forms of mass do we know of that would be faint / invisible?
  • Could the halo of the galaxy be filled with faint, dead stars?
    • Massive Compact Halo Objects?
    • Brown dwarfs
    • Neutron stars
    • Black Holes
  • How does one find an invisible object?

Gravitational (Micro)Lensing

  • We look for their mass’s effect on nearby light
  • Find that MACHO’s account for maybe 20% of the missing mass, at most
  • Hence, the currently named dark matter

Homework 12

Groups

  • KJ and Morgyn
  • Saul and Florian
  • Mac and Deana
  • Aby and Laken
  • Lev and Ben
  • Kaylee and Rebecca
  • Yumi and Cody
  • Liam and Normandy
  • Jack, Cordelia, and Maiti
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