diversity of data in the search for exoplanets rachel akeson nasa exoplanet science institute
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Diversity of Data in the Search for Exoplanets Rachel Akeson NASA Exoplanet Science Institute California Institute of Technology. Astronomy is old. Babylonian cuneiform record of observations of Halley’s comet in 164 BC. But not always quantitative. - PowerPoint PPT PresentationTRANSCRIPT
Diversity of Data in the Search for Exoplanets
Rachel AkesonNASA Exoplanet Science Institute
California Institute of Technology
Astronomy is old
Babylonian cuneiform record of observations ofHalley’s comet in 164 BC
But not always quantitative
HALLEY'S COMET IN 1456 (LUBIENIECKI)
HALLEY'S COMET IN 1835 (WILLIAM HERSCHEL)
Good observations can change our place in the universe (or at least our view of it)
Tycho Brahe’s measurements of the position of Mars were so precise (~0.1 degree) that they forced Johannes Kepler to reject a circular orbit for Mars and to develop his laws of planetary motion • Mars’ eccentricity is only 0.09
Exoplanets are new
25 years ago there were 9 known planets
• All in our own Solar System
In 1995, two research groups announced detection of a periodic signal in the spectra of a nearby, sun-like star that they attributed to the gravitational influence of a planet around that star
The big questions
How many stars have planets?
How big are those planets and where are they located?
What drives the diversity of planetary systems?
How many planets are habitable?
Are we alone?
The NASA Exoplanet ArchiveFunded by NASA’s Exoplanet Exploration Program and run by the NASA Exoplanet Science Institute
Archive Holdings
>1700 confirmed exoplanets• 1200 references, 35000 data values
>3000 planet candidates• 2 million data values
>21,000,000 light curves
(stars searched for planets)
Updated weekly with new planets or new data on existing planets
Supports ground and space-based missions
Strategic data plan
Maintain list of exoplanets as vetted by archive scientists• Use only data from peer-reviewed literature• Include multiple determinations of measured
parameters where available
Host large datasets not available anywhere else and difficult for smaller groups to maintain
• Add value by having archive scientists cross-match objects between surveys
Partner with other NASA exoplanet efforts to maximize data provided to the science community and preserve that data after missions are complete
• Lists of exoplanet candidates from the Kepler mission
Issue 1: Keeping up with the peer-reviewed literature
In 2013, the main astronomical journals had 500 papers with the keyword exoplanets
• An archive scientist reviewed the abstract for each of these to determine if it contained data which should be included in the archive
• All data are reformatted and validated before ingestion into the archive
Solution 1: Brute Force
We have 2 archive staff devoted entirely to extracting data from papers
However, there are no standard formats for much of the data
• Time (Zero point and reference frame)• Units (Solar mass, Jupiter mass, Earth
mass)• Sometimes the data isn’t even in a table
and has to be extracted from the text by hand
Working with other NASA astronomy data archives to document best practices for publishing data
Astronomical reference times
Issue 2: Scientists tend not to publish non-detections
If you want to know how many stars have planets you need to count both the stars with planets and the stars without
• Detection rates range from 0.1 to 5%, so there are many more non-detections
But researchers get much more “credit” for publishing one planet detection than 99 non-detections
Solution 2:
Long term: Encourage change of culture to value publishing complete sample over positive detections only
Short term: Work with groups with large data sets to publish complete survey results
• Provide support for grad students, page charges• Provide venue in archive for large tabular results
Issue 3: Data Diversity
Each method of discovering or characterizing a planet measures a different subset of the physical properties of the planet and its orbit around the star
And no method gets them all
Physical properties of exoplanet systems
Central star•Mass•Radius•Luminosity•Metallicity•Rotation•Distance
Planetary Orbit•Semi-Major axis•Period•Time of periastron•Inclination•Longitude of periastron
Planet•Mass•Radius•Composition•Atmosphere•Rotation
4 main methods of planet discovery
1. Transits
Detect decrease in flux from star as planet passes in front
Requires alignment of orbit to line-of-sight to Earth
4 methods
2. Radial Velocity (wobble)
Detect change in stellar velocity due to gravitational influence of planet
4 methods
3. Imaging
Detect light directly from planet (either scattered from star or intrinsic)
Requires blocking light from star
HR 8799
Fomalhaut
4 methods
4. Microlensing
Detect increase in stellar brightness due to gravitational perturbation as another star passes in front
If the passing star has a planet, the planet can do the same
Current exoplanet population by discovery method
TransitsPlanetary Orbit•Semi-Major axis•Period•InclinationPlanet•Mass•Radius
Current exoplanet population by discovery method
TransitsPlanetary Orbit•Semi-Major axis•Period•InclinationPlanet•Mass•Radius
Radial VelocityPlanetary Orbit•Semi-Major axis•Period•InclinationPlanet•Mass * sin inclination•Radius
Current exoplanet population by discovery method
TransitsPlanetary Orbit•Semi-Major axis•Period•InclinationPlanet•Mass•Radius
Radial VelocityPlanetary Orbit•Semi-Major axis•Period•InclinationPlanet•Mass * sin inclination•Radius
ImagingPlanetary Orbit•Semi-Major axis•Period (in some cases)•InclinationPlanet•Mass (from models)•Radius (from models)
Current exoplanet population by discovery method
TransitsPlanetary Orbit•Semi-Major axis•Period•InclinationPlanet•Mass•Radius
Radial VelocityPlanetary Orbit•Semi-Major axis•Period•InclinationPlanet•Mass * sin inclination•Radius
ImagingPlanetary Orbit•Semi-Major axis•Period (in some cases)•InclinationPlanet•Mass (from models)•Radius (from models)
MicrolensingPlanetary Orbit•Semi-Major axis (if known distance)•Period (in some cases)•InclinationPlanet•Mass (from models)•Radius
Result: Sparsely populated table
Solution 3
No real solution to the fundamental problem as the planets detected by one method are generally not detectable by another
Transits
Current sensitivity limits for the main planet detection methods
Transits
Radial Velocity
Microlensing
Imaging
Current Exoplanet Population
The different methods probe different parts of exoplanet phase space
Note: to make this plot we “cheat” and assume inclination = 90 for radial velocity planets
Exoplanet Archive approach
Our goal is to help researchers as much as possible
• Allow filtering based on presence/absence of data
• All data linked to original paper/source
• Provide quick links to subsets of data
• Provide counts for those doing statistical work
Exoplanet population synthesis
Mordasini et al (2014)
This is where the archive comes in
The Gold Standards
Some planets have both radial velocity and transit data and these are the best characterized planets
• From the mass and radius, you get the density and can study composition
Image:Kaltenegger
The Brightest Gold Standards
And for the brightest transiting exoplanets, we can even detect molecules in the atmospheres
Molecules detected:COCO2
H2OMethane
Summary
We discovered over 1700 planets around other stars
Understanding how these planets formed and the differences between them our own Solar Systems has just begun
As with all science, we need more data but we also need to better understand the context and biases of the data we already have
The Future
More surveys (and exoplanets) coming
ESA: GAIA (2014)•Measuring the position of 1 billion stars within the galaxy•~2500 massive planets
ESA: PLATO (2022)•Transit survey of 1 million stars•1000’s planets
NASA: TESS•Transit survey of 500,000 brightstars•1000’s of nearby exoplanets