1 / 21

Neptune Mass Exoplanets Jeff Valenti

2. Key Points. Core-Accretion planet formation scenarioMetal-rich stars have more Jupiter mass planetsMsini sensitivity has steadily improvedLargest Msini in a system constrains modelsMeasuring [Fe/H] for M dwarfs is hardKnown systems with Msini < MNep are metal poorCore-Accretion predicts

grietje
Download Presentation

Neptune Mass Exoplanets Jeff Valenti

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


    1. 1 Neptune Mass Exoplanets Jeff Valenti

    2. 2 Key Points Core-Accretion planet formation scenario Metal-rich stars have more Jupiter mass planets Msini sensitivity has steadily improved Largest Msini in a system constrains models Measuring [Fe/H] for M dwarfs is hard Known systems with Msini < MNep are metal poor Core-Accretion predicts “planet desert” below MNep Set limits on Msini of undetected planets Extrapolating mass function to super-Earths Radial velocities affected by “jitter” Improving velocity precision with “grand solution”

    3. 3 Core Accretion Planet Formation

    4. 4 Synthetic Spectrum Fits Segments 1/8 and 2/8 from Valenti & Fischer (2005). Four (out of 1040) stars are shown, spanning the range of temperatures (4700-6300 K) in the sample. Observed spectra are shown in black with the synthetic spectrum fit overplotted in color. Hash marks between the spectra show wavelengths used to normalize the continuum. Brown bars below each panel show the wavelengths used to constrain stellar parameters. Much of the spectrum is unused, due to poor fits as a function of temperature, even after using the solar spectrum to tune line data. For example, the line near 5171 is unidentified and must be excluded from the fit. There are many weaker lines throughout the spectrum that are also unidentified. The top panel contains the Mg I b triplet lines, which have broad damping wings that constrain gravity, especially in cooler stars. The line cores are ignored because they may be affected by non-LTE effects. The triangles show the location of the strongest MgH molecular lines, which become significant at the coolest temperatures considered.Segments 1/8 and 2/8 from Valenti & Fischer (2005). Four (out of 1040) stars are shown, spanning the range of temperatures (4700-6300 K) in the sample. Observed spectra are shown in black with the synthetic spectrum fit overplotted in color. Hash marks between the spectra show wavelengths used to normalize the continuum. Brown bars below each panel show the wavelengths used to constrain stellar parameters. Much of the spectrum is unused, due to poor fits as a function of temperature, even after using the solar spectrum to tune line data. For example, the line near 5171 is unidentified and must be excluded from the fit. There are many weaker lines throughout the spectrum that are also unidentified. The top panel contains the Mg I b triplet lines, which have broad damping wings that constrain gravity, especially in cooler stars. The line cores are ignored because they may be affected by non-LTE effects. The triangles show the location of the strongest MgH molecular lines, which become significant at the coolest temperatures considered.

    5. 5 Metal rich stars have more Jupiter-mass planets

    6. 6 Msini sensitivity has steadily improved

    7. 7 [Fe/H] of host star vs. lowest Msini in system

    8. 8 [Fe/H] of host star vs. highest Msini in system

    9. 9 G+M binaries constrain photometric [Fe/H] for M dwarfs Poor molecular line data limit the precision of spectroscopic abundances for M dwarfs, so planet hunters resort to empirically calibrated photometric relationships to estimate M dwarf iron abundances. Nearby single M dwarfs with reliable distances and photometry (small black circles) define an approximate [Fe/H]=0 locus (black curve). Six M dwarfs in binaries with metal-rich G or K dwarf primaries (large blue circles) define an approximate [Fe/H]=0.3 locus. These loci suggest that M dwarf planet hosts have solar metallicity or are metal-rich, even for Neptune mass planets. This contradicts results based on the earlier Bonfils et al. (2005, A&A, 442, 635) calibration, which has an [Fe/H]=0 locus coincident with the six M dwarfs in metal-rich binaries.Poor molecular line data limit the precision of spectroscopic abundances for M dwarfs, so planet hunters resort to empirically calibrated photometric relationships to estimate M dwarf iron abundances. Nearby single M dwarfs with reliable distances and photometry (small black circles) define an approximate [Fe/H]=0 locus (black curve). Six M dwarfs in binaries with metal-rich G or K dwarf primaries (large blue circles) define an approximate [Fe/H]=0.3 locus. These loci suggest that M dwarf planet hosts have solar metallicity or are metal-rich, even for Neptune mass planets. This contradicts results based on the earlier Bonfils et al. (2005, A&A, 442, 635) calibration, which has an [Fe/H]=0 locus coincident with the six M dwarfs in metal-rich binaries.

    10. 10 Improve [Fe/H] for M dwarfs

    11. 11 Known systems with Msini < MNep are metal poor

    12. 12 Current models predict a “planet desert”

    13. 13 Set Limits on Mass of Undetected Planets

    14. 14 Occurrence and Mass Distribution of Close-in Super-Earths, Neptunes, and Jupiters

    15. 15 Observations Disprove Current Models

    16. 16 Planetary Mass Function (P < 50 days)

    17. HD 179079 – Apparent Uncertainties

    18. Radial velocities affected by “jitter”

    19. Plenty of Constraints for Grand Solution

    20. Radial Velocities for GJ 412a

    21. 21 Key Points Core-Accretion planet formation scenario Metal-rich stars have more Jupiter mass planets Msini sensitivity has steadily improved Largest Msini in a system constrains models Measuring [Fe/H] for M dwarfs is hard Known systems with Msini < MNep are metal poor Core-Accretion predicts “planet desert” below MNep Set limits on Msini of undetected planets Extrapolating mass function to super-Earths Radial velocities affected by “jitter” Improving velocity precision with “grand solution”

More Related