Treffer: ARDENT: A Python package for fast dynamical detection limits with radial velocities

The architecture of planetary systems is a key piece of information to ourunderstanding of their formation and evolution. This information also allows usto place the Solar System in the exoplanet context. An important example is theimpact of outer giant planets on the formation of inner super-Earths andsub-Neptunes. Radial velocity (RV) surveys aim at drawing statistical insightsinto the (anti-)correlations between giants and inner small planets, whichremain unclear. These surveys are limited by the completeness of the systems,namely, the sensitivity of the data to planet detections. Here, we show that wecan improve the completeness by accounting for orbital stability. We introducethe Algorithm for the Refinement of DEtection limits via N-body stabilityThreshold (ARDENT), an open-source Python package for detection limits thatinclude the stability constraint. The code computes the classic data-drivendetection limits, along with the dynamical limits via both analytical andnumerical stability criteria. We present the code strategy and illustrate itsperformance on TOI-1736 using published SOPHIE RVs. This system contains aneccentric cold giant on a 570-day orbit and an inner sub-Neptune on a 7-dayorbit. We demonstrate that no additional planet can exist in this system beyond150 days due to the gravitational influence of the giant. This outcome allowsus to significantly refine the system completeness and also carriesimplications for RV follow-ups. ARDENT is user-friendly and can be employedacross a wide variety of systems to refine our understanding of theirarchitecture.