Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Supernova Cosmology for the 21st Century: How I Learnt to Stop Worrying about Likelihoods and Train a Neural Network

Supernova Cosmology for the 21st Century: How I Learnt to Stop Worrying about Likelihoods and Train a Neural Network

Trotta, Roberto
Karchev, Konstantin

Hardcover

Series: Springer Theses

Astronomy & SpaceGeneral MathematicsProbability & Statistics

ISBN10: 303215071X
ISBN13: 9783032150714
Publisher: Springer
Published: May 5 2026
Pages: 244
Weight: 2.13
Height: 0.70 Width: 8.54 Depth: 11.08
Language: English
This thesis breaks new ground in supernova type Ia cosmology, developing novel and powerful machine-learning methods scalable to the next generation of astronomical surveys. It demonstrates the feasibility of a fully simulation-based approach to inference, which overcomes the limitations of current methods while increasing the efficiency (and speed) of cosmological inference by orders of magnitude from upcoming large samples of objects. Combining advances in machine learning, numerical modelling, and physical insight, this work provides a much-needed bridge between cosmology and data science. On top of its exceptional methodological impact, the thesis itself is an outstanding product: it is written to the highest scientific and editorial standard, with exceptional quality of figures and graphs, and demonstrating superb command of statistics, machine learning, astrophysics, and cosmology. It is a precious resource for anybody interested in learning, in a concise and accessible yet rigorous manner, the state-of-the-art in supernova type Ia cosmology and modern inference methodologies in general.

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