Identikit 2: An Algorithm for Reconstructing Galactic Collisions
Joshua E. Barnes

TL;DR
Identikit 2 introduces an algorithm that reconstructs the initial conditions of galactic collisions from observed tidal features, enabling accurate modeling of galaxy interactions.
Contribution
It extends previous techniques by providing a method to map current galactic morphology back to initial collision parameters and assess model fit.
Findings
Successfully reconstructed all eight tested galactic systems.
Demonstrated ability to search a ten-dimensional parameter space.
Provided a robust measure of model-data agreement.
Abstract
Using a combination of self-consistent and test-particle techniques, Identikit 1 provided a way to vary the initial geometry of a galactic collision and instantly visualize the outcome. Identikit 2 uses the same techniques to define a mapping from the current morphology and kinematics of a tidal encounter back to the initial conditions. By requiring that various regions along a tidal feature all originate from a single disc with a unique orientation, this mapping can be used to derive the initial collision geometry. In addition, Identikit 2 offers a robust way to measure how well a particular model reproduces the morphology and kinematics of a pair of interacting galaxies. A set of eight self-consistent simulations is used to demonstrate the algorithm's ability to search a ten-dimensional parameter space and find near-optimal matches; all eight systems are successfully reconstructed.
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Scientific Research and Discoveries · Astronomy and Astrophysical Research
