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Taking a Thumb off the Scale – Reevaluating Cosmological Neutrino Mass Bounds

Taking a Thumb off the Scale – Reevaluating Cosmological Neutrino Mass Bounds

by Jamie Sullivan | Dec 8, 2021 | Daily Paper Summaries

Massive neutrinos are a thorn in the side of both the Standard Model and ΛCDM – today’s paper reconsiders what we can learn about them from some cosmological data!

Adversarial Networks, Collaborative Cosmology

Adversarial Networks, Collaborative Cosmology

by Luna Zagorac | Nov 18, 2021 | Daily Paper Summaries

Can fake data help to make real computational gains? In today’s paper, the authors describe using machine learning to boost the resolution of cosmological simulations.

Real (cosmological) information from simulated maps

Real (cosmological) information from simulated maps

by Jamie Sullivan | Nov 6, 2021 | Daily Paper Summaries

Today’s paper proposes a machine learning method to recover fundamental cosmological parameters directly from sky maps. Will gastrophysics get in the way?

UR: Acoustic Parameters as Discriminators of Wall Events in PICO Dark Matter Search Data

UR: Acoustic Parameters as Discriminators of Wall Events in PICO Dark Matter Search Data

by Guest | Oct 26, 2021 | Undergraduate Research

In the latest of our #UndergradResearch series, discover how Lucia Volkova has been working with PICO to improve bubble chambers, one possible way to detect dark matter.

Baby B-fields from the Big Bang and Beyond

Baby B-fields from the Big Bang and Beyond

by Ryan Golant | Oct 5, 2021 | Daily Paper Summaries

Cosmic magnetic fields are everywhere, but we don’t know where they came from. Today’s paper looks at simulations of the earliest fields in the Universe to try to solve this magnetic mystery.

A universe of pancakes

A universe of pancakes

by Alex Gough | Sep 22, 2021 | Classics, Daily Paper Summaries

Today’s classic paper predicts the formation of “cosmic pancakes” on the largest scales.

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