Contents
   Preface and acknowledgments
Preface and acknowledgments
1  Introduction to McStas
1.1  Development of Monte Carlo neutron simulation
1.2  Scientiﬁc background
1.3  The design of McStas
1.4  Overview
2  Monte Carlo Techniques and simulation strategy
2.1  Neutron spectrometer simulations
2.2  The neutron weight
2.3  Weight factor transformations during a Monte Carlo choice
2.4  Adaptive and Stratiﬁed sampling
2.5  Accuracy of Monte Carlo simulations
3  Running McStas
3.1  Installation and updates
3.2  Brief introduction to the graphical user interface
3.3  Running the instrument compiler
3.4  Running the simulations
3.5  Using simulation front-ends
3.6  Data formats - Analyzing and visualizing the simulation results
3.7  Using MPI for parallel computing
4  The McStas kernel and meta-language
4.1  Notational conventions
4.2  Syntactical conventions
4.3  Writing instrument deﬁnitions
4.4  Writing instrument deﬁnitions - complex arrangements and syntax
4.5  Writing component deﬁnitions
4.6  Extending component deﬁnitions
4.7  McDoc, the McStas library documentation tool
5  Polarisation in McStas
5.1  The Polarization Vector
5.2  Polarized Neutron Scattering
5.3  Magnetic ﬁelds: the precession algorithm and ﬁeld framework
5.4  Polarisation components in McStas
5.5  Test and example instruments
6  The Union components
6.1  Motivation
6.2  Component classes
6.3  The propagation algorithm
6.4  A complete example
6.5  Further examples and worked tutorials
7  Links to other computing codes
7.1  McStas and MANTID
7.2  McStas and MCNP(X)
8  The component library: Abstract
8.1  Component categories
8.2  Data ﬁles
8.3  Component and instrument examples
9  Instrument examples
9.1  A quick tour of instrument examples
9.2  A test instrument for the component V_sample
9.3  The triple axis spectrometer TAS1
9.4  The time-of-ﬂight spectrometer PRISMA
A  Random numbers in McStas
A.1  Transformation of random numbers
A.2  Random generator
B  Libraries and constants
B.1  Run-time calls and functions (mcstas-r)
B.2  Reading a data ﬁle into a vector/matrix (Table input, read_table-lib)
B.3  Monitor_nD Library
B.4  Adaptive importance sampling Library
B.5  Vitess import/export Library
B.6  Constants for unit conversion etc.
C  The McStas terminology
   Bibliography
Bibliography
   Index and keywords
Index

User and Programmers Guide to the Neutron Ray-Tracing Package McStas, version 3.9

¹A working jupyter lab installation is required; it is not currently bundled with the standard conda-forge McStas package.