Skip to product information
An Advanced Course in Computational Nuclear Physics: Bridging the Scales from Quarks to Neutron Stars (2017)

An Advanced Course in Computational Nuclear Physics

$129.99
Shipping calculated at checkout.
  • Authorized Dealer
  • Ships within 1 business day
  • Free 30-Day Returns
  • Secure Checkout via Shopify Payments
Details

"An Advanced Course in Computational Nuclear Physics" by Morten Hjorth-Jensen, Maria Paola Lombardo, Ubirajara van Kolck is a mathematics book and learning resource focused on Deep Sky & Solar System. Best for teachers, students, and readers looking for stronger mathematical understanding.

This graduate-level text collects and synthesizes a series of ten lectures on the nuclear quantum many-body problem. Starting from our current understanding of the underlying forces, it presents recent advances within the field of lattice quantum chromodynamics before going on to discuss effective field theories, central many-body methods like Monte Carlo methods, coupled cluster theories, the similarity renormalization group approach, Green’s function methods and large-scale diagonalization approaches. Algorithmic and computational advances show particular promise for breakthroughs in predictive power, including proper error estimates, a better understanding of the underlying effective degrees of freedom and of the respective forces at play. Enabled by recent improvements in theoretical, experimental and numerical techniques, the state-of-the art applications considered in this volume span the entire range, from our smallest components – quarks and gluons as the mediators of the strong force – to the computation of the equation of state for neutron star matter. The lectures presented provide an in-depth exposition of the underlying theoretical and algorithmic approaches as well details of the numerical implementation of the methods discussed. Several also include links to numerical software and benchmark calculations, which readers can use to develop their own programs for tackling challenging nuclear many-body problems.

Materials + Care

We prioritize quality in selecting the materials for our items, choosing premium fabrics and finishings that ensure durability, comfort, and timeless appeal.

Shipping + Returns

We strive to process and ship all orders in a timely manner, working diligently to ensure that your items are on their way to you as soon as possible.

Best For: Graduate students and researchers in nuclear physics and computational physics.
Focus: Nuclear quantum many-body problem and computational methods in nuclear physics.
Covers: Lattice quantum chromodynamics, effective field theories, Monte Carlo methods, coupled cluster theories, similarity renormalization group approach, Green’s functions.
Why It Matters: Provides a comprehensive and up-to-date synthesis of computational techniques and theoretical advances essential for understanding nuclear forces and many-body systems.

"An Advanced Course in Computational Nuclear Physics" by Morten Hjorth-Jensen, Maria Paola Lombardo, Ubirajara van Kolck is a mathematics book and learning resource focused on Deep Sky & Solar System. Best for teachers, students, and readers looking for stronger mathematical understanding.

Topic: Deep Sky & Solar System

Author: Morten Hjorth-Jensen, Maria Paola Lombardo, Ubirajara van Kolck

Who this is for:

  • Teachers and classroom instructors
  • Students building subject mastery
  • Readers looking for practical learning support

Why this book matters: It stands out as a practical math resource that helps explain concepts, strengthen problem-solving, and support classroom or independent learning.

This graduate-level text collects and synthesizes a series of ten lectures on the nuclear quantum many-body problem. Starting from our current understanding of the underlying forces, it presents recent advances within the field of lattice quantum chromodynamics before going on to discuss effective field theories, central many-body methods like Monte Carlo methods, coupled cluster theories, the similarity renormalization group approach, Green’s function methods and large-scale diagonalization approaches. Algorithmic and computational advances show particular promise for breakthroughs in predictive power, including proper error estimates, a better understanding of the underlying effective degrees of freedom and of the respective forces at play. Enabled by recent improvements in theoretical, experimental and numerical techniques, the state-of-the art applications considered in this volume span the entire range, from our smallest components – quarks and gluons as the mediators of the strong force – to the computation of the equation of state for neutron star matter. The lectures presented provide an in-depth exposition of the underlying theoretical and algorithmic approaches as well details of the numerical implementation of the methods discussed. Several also include links to numerical software and benchmark calculations, which readers can use to develop their own programs for tackling challenging nuclear many-body problems.

AuthorMorten Hjorth-Jensen, Maria Paola Lombardo, Ubirajara van Kolck
PublisherSpringer
Published2017-05-10
ISBN-139783319533353
BindingPaperback
Pages644
LanguageEnglish
SubjectsScience
TopicDeep Sky & Solar System
SeriesLecture Notes in Physics

Format: Paperback

Length: 644 pages

Language: English

Shop by collection

You might also like...