# OGLE-2018-BLG-0532Lb: Cold Neptune With Possible Jovian Sibling

## TL;DR

This paper reports the discovery of a cold Neptune exoplanet with potential additional planetary companions, analyzing light curve data to estimate system properties and discussing the ambiguity in the lensing scenario.

## Contribution

It presents the detection and characterization of OGLE-2018-BLG-0532Lb, exploring possible multi-lens configurations and their implications for the system's properties.

## Key findings

- Estimated host star mass ~0.25 solar masses
- Planet mass approximately 8 Earth masses
- Possible presence of a second planet or lens companion

## Abstract

We report the discovery of the planet OGLE-2018-BLG-0532Lb, with very obvious signatures in the light curve that lead to an estimate of the planet-host mass ratio $q=M_{\rm planet}/M_{\rm host}\simeq 1\times10^{-4}$. Although there are no obvious systematic residuals to this double-lens/single-source (2L1S) fit, we find that $\chi^2$ can be significantly improved by adding either a third lens (3L1S, $\Delta\chi^2=81$) or second source (2L2S, $\Delta\chi^2=65$) to the lens-source geometry. After thorough investigation, we conclude that we cannot decisively distinguish between these two scenarios and therefore focus on the robustly-detected planet. However, given the possible presence of a second planet, we investigate to what degree and with what probability such additional planets may affect seemingly single-planet light curves. Our best estimates for the properties of the lens star and the secure planet are: a host mass $M\sim 0.25\,M_\odot$, system distance $D_L\sim 1\,$kpc and planet mass $m_{p,1}= 8\,M_\oplus$ with projected separation $a_{1,\perp}=1.4\,$au. However, there is a relatively bright $I=18.6$ (and also relatively blue) star projected within $<50\,$mas of the lens, and if future high-resolution images show that this is coincident with the lens, then it is possible that it is the lens, in which case, the lens would be both more massive and more distant than the best-estimated values above.