I am a Master student at Swiss Federal Institute of Technology (ETH) Zurich working on galaxy and black hole evolution in the Group of Prof. Kevin Schawinski at the Institute for Particle Physics and Astrophysics. My main interest lay on the effect AGN feedback can have on the evolution of their host galaxies. My work is part of the BAT AGN Spectorscopic survay (BASS) .
A short list of my current and past research projects
Machine Learning : Prediction of multiwavelength data using the CICGAN a type of Generative Adversarial NetworkThe CICGAN is a new machine learning tool to predict galaxy emission across the band of the electromagnetic spectrum. The CICGAN uses training sets with pairs of observations from GALEX, WISE, FIRST, and SDSS survey to predict photometric emission. The accuracy of the CICGAN to predict GALEX data from the near-UV is by a order of magnitude higher than to predict WISE data in ther near-IR. This indicates a closer physical connection between the optical emission of the galaxy and the near-UV rather than the near-IR. The physical causes of the optical and radio emission indicate no strong correlation as the CICGAN is unable to predict FIRST images given SDSS and vice versa.
BASS : Catalogue SCUBA 2My work added IR observation for 63 BASS objects from the submilimeter common-user bolometer array (SCUBA) 2 in Hawaii to our the BASS DR 1 catalogue. This includes the measurments from SCUBA 2 at 850μm and 450μm and full spectral energy distribution (SED) fitting of the IR SED of AGN host galaxies, including Herschel and WISE data. Through the IR SED fit we can determine measure of dust masses, dust temperatures, star formation rate and IR luminosity of our objects.
BASS : Type 2 AGN far-IR excess compared to Type 1The analysis of 63 bright nearby AGN in the far-IR by SCUBA 2 lead to the discovery of an unexpected far-IR behavior of AGN host galaxies. If the unification model holds, we would expect similar far-IR emissions from both, Type 1 and Type 2 AGN. Our results however show a significant difference in the log(F500/F850) color for the two Types. This excess was previously been indicated in the work of Shimizu et al. 2016 at 500μm.
Galaxy Zoo 2 : Analyzing the effect of bars and AGN on the quenching of star formation using stellar mass functions
By analyzing the mass function of different morphological sub-samples from the Galaxy Zoo 2 , we studied which morphological aspects could effect galaxy quenching. Our work focused classifying mass quenched (as defined in Peng et al. 2010 ) populations. We use the mass function method by Weigel et al. 2016 to generate the stellar mass functions for a variety of different galaxy sub-samples. An advantage we have over previous studies is that by using the stellar mass function we are able test the fraction as a function of stellar mass for different sub-sample. We find an increase in the fraction of red barred galaxies relative to all barred galaxies, indicating bars are more probable to either live in or be detected in red spiral galaxies. In our sample we do not find a significant difference between the fraction of spiral AGN containing a bar and no bar.