Statistical analyses of gravitational microlensing probability densities

Gravitational microlensing is a powerful modelling tool, that is essential in accurately understanding the lensing behavior of astronomically strong lensed objects. Using Joachim Wambsganss micro-magnification maps, we discuss the creation of a Monte-Carlo tool that can determine the likelihood for microlensing to account for flux ratio anomalies between macro-models and observations. We apply this tool to the study of iPTF16geu, a recently discovered type IA lensed supernova, and determine that it is unlikely for microlensing alone to account for flux ratio anomalies. We apply the tool, and an extension of the tool that allows us to predict the source's intrinsic magnitude, to Huchra's Lens. We study the light curves of Huchra's lens over time, and predict that image B is stuck in an uninteresting place in its micro-magnification map, causing its microlensing to consistently corrupt the source light curve over the past twenty years. Using Charles Keeton's lens model, a macro-modelling tool, we investigate the quadruply lensed system, DES J0408-5354. We present a new macro-model for the system, which predicts that image C, a perturbed saddle point, is outside the second perturbing galaxy relative to the primary lensing galaxy. This represents a new macro-model for the system, supported by recent unpublished Hubble observations. Finally, we present a method for investigating the quasar continuum emitting region size, and a way to test the point-like assumption at varied wavelengths. We discuss the framework and describe the process for how future work can provide essential constraints on the quasar continuum emitting region.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Physics.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2018

Author dc:creator

• Yahalomi, Daniel Alexander

Advisor dc:contributor.advisor

• Paul L. Schechter.

• Physics.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/120205

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/120205