Presenting a forecast for the combined analysis of weak lensing and galaxy clustering data from the Roman Space Telescope and CMB lensing data from the Simons Observatory.

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Random Forests as a viable method to select and discover high redshift quasars

Wenzl, L. et al. 2021, AJ, 162, 72 (2021), doi:10.3847/1538-3881/ac0254

Presenting a method to select quasars up to redshift of about 6 using a supervised machine learning algorithm. We report 20 new quasars between redshifts of 4.6 and 5.7.

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credits for pictures above: Mag Bias visual: NASA, ESA, and A. Feild (STScI) (modified); Cosmos field: NASA, ESA, and R. Massey; Planck Polarization: ESA and the Planck Collaboration; Roman image: Roman collab; SO image: Galitzkia et al. 2018; Google Earth; Pan-STARRS image: R. White and the PS1 Science Consortium; Quasar illustration: ESO/M. Kornmesser; Roman Space Telescope render: NASA

Code

I am committed to making any code that might be useful to others in the field publically available as soon as I can.

github.com/lukaswenzl/astrometry

A simple python3 tool to correct the astrometry, i.e. the sky position metadata, of FITS images. I wrote the tool from scratch as part of my work as a Research Assistant at the MPIA. The tool has been used for various photometric follow-up observations of quasar candidates.

Random Things

Recreational Astrophotography

Astronomical Techniques summary sheet

How to use the Wold Coordinate System (WCS) in python

Notes on Statistical Mechanics (grad level, mostly a cheat sheet of essential concepts)