How Do Scientists Determine Exoplanet Characteristics from Radial Velocity Data?

In summary, to get the mass and semiaxis of a planet from radial velocity data, you fit a sine curve to the data and calculate the mass and semiaxis from Kepler's Third Law. You also assume that the line of sight is in the orbit plane, which simplifies the calculation.
  • #1
Dracovich
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I've been googling like crazy the past few hours trying to find something i can use :) I find a lot of general explenations, but I'm having a hard time finding a concrete model to what is used to get the final values that seem to be extracted from the data gained from doppler/radial velocity measurements.

So you get a grab with radial velocity and time, but what do you do with this data to deduce the size of a planet, it's distance from the star etc. As far as i can see, you get the total period of the planets orbit, and the radial velocity of the star at some given time in the orbit. But I'm unsure of how this translates into the values of mass and radius of orbit.

If you could explain, or point me in the right direction :) it'd be greatly appreciated.
 
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  • #2
Dracovich said:
So you get a grab with radial velocity and time, but what do you do with this data to deduce the size of a planet, it's distance from the star etc. As far as i can see, you get the total period of the planets orbit, and the radial velocity of the star at some given time in the orbit. But I'm unsure of how this translates into the values of mass and radius of orbit.
...

I read some of the first papers on this (by Geoff Marcy and Paul Butler)
http://astron.berkeley.edu/~gmarcy/
in the 1990s and I vaguely recall the proceedure. Maybe someone here will have a source online, but I don't. I can tell you what I remember, more or less.
Here's some general info
http://exoplanets.org/

I assume you know what CURVE-FITTING is all about.

if there is only one planet and the orbit is essentially circular then you start by fitting SINEcurve to the doppler data taken over sufficiently long time

if the data over several years looks like a superposition of several sinewaves then maybe there are several planets. maybe the wobble is a sum of wobbles caused by several planets so you have to subtract out and fit curves to separate components

sinecurve fitting only works for circular orbits. (eccentricity zero)
Suppose you watch the star over a long time, like several years, and plot the radial velocity. Suppose the plot looks like a distorted sinewave with the peaks skinny and the valleys broad-----or the hills broad flat-topped and the valleys more narrow like canyons. Then you are looking at wobble caused by a planet with ECCENTRIC orbit

Look at number 68 on this list
http://exoplanets.org/almanacframe.html
It is HD28185
the period is 383 days and the eccentricity is 0.07

That would be an easy one to fit curve to. the eccentricity is small, only 0.07. The plot of radial velocity over several years (to be sure) would
be almost a sinewave.

But look at some of the other planets on the same list. Eccentricity 0.2 and 0.3 and 0.4. Terrible.

So the first thing is to take data over several years (or at least orbit periods) and to pick period and eccentricity numbers so that the curve fits!

The next thing for you to understand is how you would estimate the planet MASS and SEMIAXIS from that curve, but for starters assume that it is zero eccentricity nice sine curve. Then the arithmetic is very easy to understand.
I just went thru this with someone else in another thread. Maybe I will just give a brief sketch of the idea and then sit this out and let someone else talk.
 
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  • #3
you know the mass M of the star by its color (more massive stars are hotter)

the mass M and the period P tells you the semiaxis A
by Kepler's Third Law.

now you just need to calculate the planet mass m.

this is found with the assumption that line of sight is in the orbit plane so that the maximum radial velocity of the star is the true maximum and not some fraction of it (as in case where orbit plane is tilted)

the planet mass comes from this proportion

planet mass/star mass = star speed/planet speed

BECAUSE YOU KNOW THE SEMIAXIS AND THE PERIOD you know the planet speed
BECAUSE YOU HAVE THE DOPPLER DATA you know the star wobble speed
BECAUSE YOU KNOW THE COLOR you know the star mass

so by this proportion you learn the planet mass.

if the planet speed turns out to be 1000 times the star speed, then the planet mass must be 1/1000 of the star mass

but this is only a lowerbound on the planet mass. if the orbit plane is actually tilted then the star's true wobble speed is greater and that means the planet is more massive
 
  • #4
Well done marcus. You sit back often, it does not go unnoticed.
 
  • #5
Chronos said:
Well done...
Thanks, Chronos!

what the questioner may really want is to have a formula written down.
this would essentially be to write down Kepler's Third.
maybe someone will do this and say how, knowing mass of star and period, one can deduce semiaxis
 
  • #6
ok sounds good :) Thanks for a good explenation.

Is there any way to find out what the tilt of the orbit is? Or is that just something to be left to speculation?
 
  • #7
Dracovich said:
ok sounds good :) Thanks for a good explenation.

Is there any way to find out what the tilt of the orbit is? Or is that just something to be left to speculation?
I don't think so, unless the planet transits the face of the star, in which case it is 90 degrees.

On the following web site:
http://exoplanets.org/almanacframe.html

the table that gives planetary data has a column labeld M sin i M(jupiter)

I'm not quite sure how to use the data in this column, but the number in that column represents the minimum mass the planet can be. But like Marcus said, any change in inclination will result in a more massive planet.
 
  • #8
It's a 3D geometry problem - tilt of the rotational axis. You assume it is perfectly aligned with our line of sight and derive a maximum mass of the body in question.
 
  • #9
Ok, some slight followup :)

You say i'll find the semiaxis (or in the case of a circular orbit, the radius) from keplers third law, which i kinda expected. But what's bothering me is that it's [tex]\frac{T^2}{r^3}=Constant[/tex] But how do i know what that constant is? After some googling i read that a special case of Keplers law was that [tex]T^2=R^3[/tex] which would of course be easy enough to use :) But i saw no further explenation of it (and can´t seem to find it in my classical mechanics book.

So assuming I've found r, then i got [tex]v=sqrt{\frac{GM}{r}}[/tex] for the planets velocity, and as you said the the extremums of the radial velocity would be the stars velocity. Then you said that [tex]\frac{M_p}{M_s}=\frac{v_p}{v_s}[/tex], which sounds good :) But this also seems to be missing from any of my testbooks. And this is something i'd like to use for a project so i'd need to either use references or derive the formula, and i can't seem to find anything resembling this in my textbooks (granted it's just one chapter on planetary motion etc). A reference to some other book would be great as well :) Think i can find most books at the library.
 
  • #10
Dracovich said:
Ok, some slight followup :)

You say i'll find the semiaxis (or in the case of a circular orbit, the radius) from keplers third law, which i kinda expected. But what's bothering me is that it's [tex]\frac{T^2}{r^3}=Constant[/tex] But how do i know what that constant is? ...

[tex]\frac{r^3}{T^2}=Constant[/tex]

Hi Draco, I turned your fraction upside down.
the constant is related to the mass of the star

It is essentially (up to some order-one factor) just GM.

if the T in your fraction is equal to Period/2pi
then it would be GM itself

that is why one must look at the color of the star, to tell its mass

if the T in your fraction is orbit Period

then there is an extra factor of (2pi)^2 to take care of and one
must say


[tex]\frac{r^3}{T^2}=\frac {GM}{4\pi^2}[/tex]

BTW kepler law is not perfect, it is best when the masses of the planets are small compared to the star, like in solar system
 
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  • #11
Marcus said:
BTW kepler law is not perfect, it is best when the masses of the planets are small compared to the star

Or not too close to its primary, causing GR factors to come into play.
 
  • #12
Didn't just want this to drop without recognition. Just wanted to throw a quick thank you in here :) I´ve now got the theory part for my project and seen how you can derive those formulas. So, again, thanks.
 
  • #13
Sorry to bother you even further :) but how would one go about switching this to an elliptical system? Obviously this is possible judging from the data in planet catalogs. I can see how the minor semiaxis can be found from the equation for the period of an elliptical orbit, but I'm having a hard time seeing how other values are found. I'm guessing that the eccentricity is found by the plot, looking at the plots of very eccentric orbits i can't quite see what function they use to fit to their data, but I'm assuming that you get eccentricity from there (since the plot gets quite a unique shape the more eccentric it is). But I'm having a hard time how you would determine anything else.

I'm looking at some equations for elliptical orbits, and they all seem to rely heavily on [tex]\theta[/tex] (it's position in the elliptial orbit), but we don't know how the ellipse looks like exactly, or in which direction it is pointing (where we are looking at it). So all the data (velocity etc) must depend on where in it's elliptical orbit the star/planet is, but i can´t see how we could possibly know anything about this.
 
  • #14
Use spherical coordinates.
 

FAQ: How Do Scientists Determine Exoplanet Characteristics from Radial Velocity Data?

1. What is a "model" used for exoplanet data?

A model used for exoplanet data is a set of mathematical equations and simulations that are used to interpret and analyze data collected from exoplanets. These models are based on our current understanding of physics and planetary formation, and can help us make predictions about the characteristics and behavior of these distant worlds.

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Models used for exoplanet data are created by combining data from various sources such as telescopes, satellites, and ground-based observations. These data are then analyzed and compared to existing theories and simulations to create a model that can accurately represent the observed data. The model is continually refined and updated as new data becomes available.

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While models used for exoplanet data are based on our current understanding of physics and planetary formation, they are not always able to accurately predict the characteristics of an exoplanet. This is because there are many unknown factors that can affect the behavior and composition of these distant worlds, and our models are constantly being improved as we gather more data and expand our knowledge.

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