The pub folks have excellent taste in music! 🥳

Congratulations! 😄

Some scientists do have superpowers after all! 😁

But that's possibly an idea for something I can do beyond my PhD, as the time has come to tie together all these projects into my PhD thesis. 😄

This leads to the need of finding ways to run high-resolution, large box simulations without having insane computational (and energy!) costs. At the very least, we want dark matter halo resolution (masses and positions) along with their merger trees.

For this, we look towards super-resolution!

Lastly, we tested the new Polar sims which allows us to vary astrophysics in our sims along with varying cosmologies. We find that we can have multiple viable models that explain multiwavelength EoR observables, indicating the need for broad parameter spaces: ui.adsabs.harvard.edu/abs/2024arXi...

We also wanted to improve the measure of the 21-cm signal power spectrum at large scales, without running large volume simulations. For this, we ran RHD sims using the Fixed & Paired initial conditions formalism and boosted effective volume by a factor of 3.5: ui.adsabs.harvard.edu/abs/2024MNRA...

applied it to real data even with older analysis pipelines in ui.adsabs.harvard.edu/abs/2024MNRA....

Also, this was tested against mock SKA data in the Science Data Challenge 3a, and got the best possible results too by a significant lead (sdc3.skao.int/challenges/f...)!

Firstly, I talked about using ML to build templates of the 21-cm signal power spectrum, which can be used to extract the signal by removing foregrounds and noise from LOFAR (or any other radio interferometer) data. We tested this with mock datasets in ui.adsabs.harvard.edu/abs/2024MNRA... and...

Thanks to @maxplanck.de, MPA and my supervisor for providing the support and funding for all of these exciting projects and the ability to showcase them in various places.

Something I tried to emphasize to the Schmidt Foundation a couple of years ago is that one of the ways to intervene in this pattern is for foundations that give out scicomm awards to provide academic winners with research funding so universities see there is fiscal value in supporting scicomm

I'll be talking about pretty much everything I've done during my PhD:

from implementing ML-based templates for the IGM 21-cm signal from the Epoch of Reionization, to the development of new simulations, their needs, and current issues.

Also will discuss projects I hope to work on as a postdoc!