Nickolas Kokron

Postdoc at the Institute for Advanced Study

Summary of my research

My research has recently organized itself in three fronts.

1. Large-scale structure model building: I have worked extensively on a budding class of models that combine insights from perturbation theories of the galaxy-halo connection, known as bias models, with N-body simulations of dark-matter structure formation. These have recently been dubbed hybrid effective field theory. Hybrid EFT is particularly suited to modelling the signatures of photometric galaxy clustering and its cross-correlation with weak gravitational lensing, be it from the CMB or from cosmic shear surveys. I am a developer, along with Joe DeRose, of the hybrid EFT code aemulus-heft -- the emulator formerly known as anzu. I have also begun to think about how these models relate to intrinsic alignments and their promise as a complementary tracer of large-scale structure. With Stephen Chen, I developed the one-loop Lagrangian theory for Intrinsic Alignments and implemented it in spinosaurus, the spin-two cousin of velocileptors.

My collaborators affiliated with stage-IV surveys have used my codes to analyze data such as DESI LRGs x CMB lensing and the first EFT-based analysis of intrinsic alignments with DESI LRGs x DES source galaxies. Anzu also competed in the LSST DESC Bias Challenge.

2. Connecting galaxy formation to the bias expansion: Hybrid EFT is a fun playground to study galaxy formation, at large scales, from the field level. I have used this relation to study the stochasticity of red galaxy samples in order to develop better priors of EFT-based analyses. Investigating the construction of reliable priors for stage-IV surveys and beyond is an active direction of work I am interested in. I recently collaborated with a great Stanford student, Mahlet Shiferaw, on the impact of galaxy formation physics and its uncertainties on the coefficients of the bias expansion..

3. Line-intensity mapping: I am also interested in learning about cosmology and galaxy formation science from mapping emission lines in the high redshift Universe. I develop a code, SkyLine, which enables the painting of a swath of different emission lines (such as CO, [CII], 21cm, etc) onto cosmological N-body simulations. These maps of line emission have many applications, a recent one being studying the imprint of CO emission lines (from J=1-7 and z=0-6) in low frequency CMB maps.

For my full list of publications please check the arXiv. Feel free to reach out at any time if you have questions or just want to talk about research in computational cosmology in general!

Below is a figure from a selected publication of mine, drawn at random! Click on the image to see the accompanying paper.

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