PopSyCLE: A New Population Synthesis Code for Compact Object Microlensing Events
Casey Y. Lam (UC Berkeley), Jessica R. Lu (UC Berkeley), Matthew W., Hosek, Jr. (UCLA), William A. Dawson (LLNL), Nathan R. Golovich (LLNL)

TL;DR
PopSyCLE is a novel simulation tool for Milky Way microlensing that incorporates supernova-based compact object distributions and both astrometric and photometric effects, aiding in black hole detection strategies.
Contribution
It introduces the first resolved microlensing simulation including supernova-derived compact objects and combined astrometric and photometric effects.
Findings
Predicted a ~40% black hole detection rate with current methods.
Enhanced detection rate to ~85% using combined event criteria.
Future WFIRST survey will detect 100-1000 black holes, constraining their mass function.
Abstract
We present a new Milky Way microlensing simulation code, dubbed PopSyCLE (Population Synthesis for Compact object Lensing Events). PopSyCLE is the first resolved microlensing simulation to include a compact object distribution derived from numerical supernovae explosion models and both astrometric and photometric microlensing effects. We demonstrate the capabilities of PopSyCLE by investigating the optimal way to find black holes (BHs) with microlensing. Candidate BHs have typically been selected from wide-field photometric microlensing surveys, such as OGLE, by selecting events with long Einstein crossing times ( days). These events can be selected at closest approach and monitored astrometrically in order to constrain the mass of each lens; PopSyCLE predicts a BH detection rate of ~40% for such a program. We find that the detection rate can be enhanced to ~85% by selecting…
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