Peak Star Types

Jed Rembold

February 6, 2025

Announcements

  • I’m aiming to get HW1 feedback to you this weekend
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Recap

  • Atomic energy levels result in emission or absorption spectra
    • Exact levels depend on chemical composition
    • Hot diffuse gases emit, colder gases absorb
  • Movement towards or away from us shifts our perceived wavelengths
    • Redshifted (longer wavelength) going away from us
    • Blueshifted (shorter wavelengths) coming toward us

Today’s Plan

  • Peak Data Reduction
  • Luminosity
  • Stellar Distances
  • Star Types
  • HR Diagrams

Finding and Measuring Absorption Peaks

Maximum Redshift

  • Stars are considered “hypervelocity stars” if they have radial speeds of around 500 km/s or higher
  • Take a moment to compute how much of a shift this would cause in the \(H_\alpha\) line usually at 656.464 nm.

\[\Delta\lambda = \frac{500\times10^3}{3\times10^8}\times 656.464 = 1.094\]

  • The shift would be only a single nanometer!
  • Finding the peaks isn’t difficult, as they are largely where we expect
  • Measuring the slight differences is far more tricky

Gaussians

  • Measure peak placement precisely involves fitting a model to the peak
  • One of the most common is that of a Gaussian: \[ g(x) = H + A\exp\left(\frac{-(x-x_0)^2}{2\sigma^2}\right) \] where
    • \(H\) is the offset or shift of the baseline
    • \(A\) is the peak height above the baseline (can be negative)
    • \(x_0\) is the \(x\) at which the peak is centered
    • \(\sigma\) is the spread of the peak

The Continuum

  • Peaks often show up on areas of the blackbody spectrum that are heavily sloped
  • Fitting them well requires “flattening”, or normalizing out this background continuum
  • Most common approach is to fit a line or polynomial to just the background (not the peak!) and then divide the entire background by this signal
  • If done well, you should get a clean peak sitting on a level surface, ready for fitting
  • For velocities or identifying chemical composition, determining \(x_0\) is the most important, as that is the wavelength the peak is centered at

Example Using Solar Spectra

  • To illustrate this approach, let’s investigate the \(H_\alpha\) line in the solar spectra given here
  • Want to:
    • Establish there is a peak approximately where we expect it
    • Normalize the background
    • Fit a gaussian to determine peak location

Velocity Computing

  • You can technically compute a velocity for each peak individually
  • The spectrum will generally have many peaks
  • Don’t just average them! Fit a line to them: \[\lambda_{obs} = \left(\frac{V}{c} + 1\right)\lambda_{rest} \]

λrest λobs

Luminosity

So what can we observe?

  • Light from the stars tells us:
    • Their location in the sky
    • Their overall brightness
    • Their intensity at different wavelengths (their spectrum)
  • From these, we can determine:
    • Surface temperature
    • Radial motion
    • Distance (sometimes)
    • Size (in a fashion)
    • Power output or Luminosity
    • Mass (sometimes)

Luminosity

  • We measure the apparent brightness \(B\) of an object here at Earth (area under spectra)
  • Like ripples around a dropped rock though, brightness falls off with distance:
    • Unlike pond ripples, the waves spread out radially, so the energy gets spread over a sphere
  • Thus the luminosity is: \[ L = 4\pi d^2 \times B \] where \(d\) is the distance
  • The range of possible stellar luminosities is huge
    • \(L_{sun} = L_\odot = 4 \times 10^{26}\) W
    • Dimmest at around \(0.000001L_\odot\)
    • Brightest around \(100000L_\odot\)
Energy at the source is spread over ever larger spheres

Accounting for Distance

Stellar Distances

  • Initially, coming from parallax
    • Shifts of the foreground relative to the background when the viewpoint changes
  • Parallax effects are larger for closer objects, and stars are far away
    • Need as large a baseline as possible: observing during 6 month intervals to be on opposite sides of the Sun
    • Parallax effects from stars are still tiny: generally less than an arcsecond
  • A parsec is the distance that corresponds to a parallax angle of 1 arcsecond
    • Equivalent to 3.26 light-years, or 3.26\(\times\) the distance light travels in a year
  • Measuring the parallax angle \(p\) in arcseconds gives the distance in parsecs \(d\): \[ d_{pc} = \frac{1}{p_{asec}} \]

Absolute Magnitude

  • Astronomers will also use absolute magnitude as a proxy for luminosity
  • A star’s absolute magnitude (commonly denoted \(M\)) is the magnitude it would seem to have if it was 10 parsecs away
  • Still requires knowing the distance to the star to compute: \[ m - M = 5\log_{10}\left(\frac{d_{pc}}{10}\right) \] where \[ \begin{aligned} M &= \text{ absolute magnitude} \\ m &= \text{ apparent magnitude} \\ d_{pc} &= \text{ distance in pc}\\ \end{aligned} \]

Classifying Stars

Star Types

  • Stars were originally classified by the strength of their Hydrogen lines
  • The strongest were classified type A, all the way down to type O, which showed virtually no hydrogen lines
Original Star Types

Scrambling the System

  • As more spectra were observed, the H lines were proving to be less reliable in predicting similar properties
  • Enter Annie Cannon
    • Hired as one of the Harvard Computers
    • Classified some 350,000 stars (yikes!)
    • Drastically simplied the system and eliminated many classes, focusing mainly on the Balmer line transitions
    • Once the relationship between spectra lines and temperature was understood, the letters were reordered to match the temperature trend

HR Diagrams

HR Diagram

Main Sequence White Dwarfs Giants Supergiants

Star Sizes

  • Given certain names, you can perhaps guess how stellar size varies in an HR diagram
  • But why?
    • Recall that total brightness over some interval of wavelength is measured in watts per square meter
      • This would be the area under a spectra curve
      • This is why brightness drops off as it travels away from the star to us
      • This also means though that the total energy emitted from the surface of the star will depend on the star’s size!
    • The area under the curve depends (heavily) on the temperature \[ L = 4\pi R^2_s \times \sigma T^4 \]

Mass and HR Diagrams

  • What about patterns in the mass of stars on the HR diagram?
  • Globally, there is no obvious trend
  • There do appear to be trends within the subgroups though:
    • Main sequence stars decrease in mass from upper left to lower right
    • White dwarfs are generally fairly low in mass
    • Giants and supergiants can vary wildly
  • Mass determines many of the equilibrium points in stars, so no clear trend is interesting!
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