Supernova Cosmology for the 21st Century

How I Learnt to Stop Worrying About Likelihoods and Train a Neural Network

Konstantin Karchev (Autor)

Online Resource

XII, 199 Seiten

2026
Springer International Publishing (Hersteller)
9783032150721 (ISBN)

Noch nicht erschienen - erscheint am 16.02.2026
Versandkostenfrei
Auch auf Rechnung

Artikel merken

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.

Erscheint lt. Verlag	16.2.2026
Reihe/Serie	Physics and Astronomy
	Physics and Astronomy (R0)
	Springer Theses
Vorwort	Roberto Trotta
Zusatzinfo	XII, 199 p. 50 illus., 44 illus. in color.
Verlagsort	Cham
Sprache	englisch
Themenwelt	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Mathematik / Informatik ► Mathematik ► Statistik
	Naturwissenschaften ► Physik / Astronomie ► Astronomie / Astrophysik
Schlagworte	Bayesian hierarchical modelling • Bayesian inference • Bayesian model comparison • Cosmology • machine learning • neural network • neural ratio estimation • SBI • Simulation-based inference • SN Ia • standard candle • Type Ia supernova
ISBN-13	9783032150721 / 9783032150721
Zustand	Neuware