Data Mining 22 Months of Kepler Data…

Data Mining 22 Months of Kepler Data Produces 472 New Potential Exoplanet Candidates by Will Baird.

Will’s report on:

Planetary Candidates Observed by Kepler IV: Planet Sample From Q1-Q8 (22 Months)

Abstract:

We provide updates to the Kepler planet candidate sample based upon nearly two years of high-precision photometry (i.e., Q1-Q8). From an initial list of nearly 13,400 Threshold Crossing Events (TCEs), 480 new host stars are identified from their flux time series as consistent with hosting transiting planets. Potential transit signals are subjected to further analysis using the pixel-level data, which allows background eclipsing binaries to be identified through small image position shifts during transit. We also re-evaluate Kepler Objects of Interest (KOI) 1-1609, which were identified early in the mission, using substantially more data to test for background false positives and to find additional multiple systems. Combining the new and previous KOI samples, we provide updated parameters for 2,738 Kepler planet candidates distributed across 2,017 host stars. From the combined Kepler planet candidates, 472 are new from the Q1-Q8 data examined in this study. The new Kepler planet candidates represent ~40% of the sample with Rp~1 Rearth and represent ~40% of the low equilibrium temperature (Teq less than 300 K) sample. We review the known biases in the current sample of Kepler planet candidates relevant to evaluating planet population statistics with the current Kepler planet candidate sample.

If you are interested in the Kepler data, you can visit the Kepler Data Archives or the Kepler Mission site.

Unlike some scientific “research,” with astronomy you don’t have to go hounding scientists for copies of their privately held data.

One Response to “Data Mining 22 Months of Kepler Data…”

  1. […] you aren’t mining Kepler data, this may be the inspiration to get you […]