K2 discovers a busy bee: an unusual transiting Neptune found in the beehive cluster
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Citations
batman: BAsic Transit Model cAlculatioN in Python
Zodiacal exoplanets in time (zeit). iv. seven transiting planets in the praesepe cluster
Wōtan: Comprehensive Time-series Detrending in Python
Poking the Beehive from Space: K2 Rotation Periods for Praesepe
Rotation of Late-type Stars in Praesepe with K2
References
emcee: The MCMC Hammer
emcee: The MCMC Hammer
parsec: stellar tracks and isochrones with the PAdova and TRieste Stellar Evolution Code
PARSEC: stellar tracks and isochrones with the PAdova and TRieste Stellar Evolution Code
Analytic Lightcurves for Planetary Transit Searches
Related Papers (5)
The K2 Mission: Characterization and Early Results
The Two Micron All Sky Survey (2MASS)
Frequently Asked Questions (14)
Q2. What causes the apparent brightness of the star to change?
As stars are sampled by different pixels, intra-pixel sensitivity and flat-fielding variations cause the apparent brightness of the star to change.
Q3. What are the main reasons for the existence of planets in older clusters?
Planets in younger clusters may also be undergoing thermal evolution, radial contraction, or receiving high irradiation from their active host stars.
Q4. What is the way to characterize the planet’s atmosphere?
Multi-band transit photometry can be used to characterize the planet’s atmosphere or rule out false-positive detections (Mislis et al.
Q5. What is the way to rule out false-positive detection scenarios?
Highresolution spectroscopy can be used to rule out false-positive detection scenarios such as EBs by searching for secondary line features that are created by a possible companion star.
Q6. What are the parameters in the fit?
The overall fitted parameters in their analysis are the candidate’s orbital period P, initial transit time T0, inclination i, eccentricity e, longitude ω, scaled semimajor axis a R and the fractional candidate radius R Rp .
Q7. What is the importance of spectral typing for a more accurate stellar property?
While K2 targets are already pre-characterized with broadband photometry, spectral typing is essential for more accurate stellar properties.
Q8. What is the spectrograph’s role in the determination of the planet’s mass?
future dedicated infrared spectrographs such as IRD and HPF (Kotani et al. 2014 and Mahadevan et al. 2012, respectively) will allow the determination of the planet’s mass.
Q9. How did the authors use the dithered images to remove the sky background?
The authors used the dithered images to subtract the sky background and remove dark current, then aligned, flat-fielded, and stacked the individual images.
Q10. How do the authors determine the sensitivity of their HIRES spectrum?
Using the color–temperature conversions of Pecaut & Mamajek (2013), the authors estimate that the Kolbl et al. (2015) analysis of their HIRES spectrum rules out a large range of close companions on circular orbits down to ∼M5.5 types on ∼75 day or shorter orbits.
Q11. What can be used to limit or completely rule out a transiting planet?
Their collected data in form of photometry, spectroscopy, and high-resolution imaging can be used to place a number of constraints on the data to limit or even completely rule out all of the above scenarios.
Q12. Why did the data not be binning?
due to the relative isolation of the target and reference stars on the CCD, the data were still salvageable and the authors could identify the transit after binning the data in 30 minutes intervals.
Q13. How can the authors estimate the radius of the star?
The authors can therefore combine their measured effective temperature and luminosity through the Stefan–Boltzmann law to estimate the star’s radius, * = R R0.40 0.01 .
Q14. How long does it take to construct the maximum RV amplitude?
Based on both their own observation with HIRES and the two additional data points from J. Pepper et al. (2016, inpreparation), the authors cover a time baseline of six days that the authors use to construct a 5σ upper limit for the maximum RV amplitude that could still fit to the data and is shown in Figure 7 in the top panel.