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Books > Science & Mathematics > Science: general issues > Scientific equipment & techniques, laboratory equipment > General
The electric dipole moment (EDM) challenge measures a non-zero
proton EDM value and this book suggests how the challenge can be
met. Any measurably large proton EDM would violate the standard
model. The method to be employed uses an intense beam of 'frozen
spin' protons circulating for hour-long times in a storage ring
'trap'. The smallness of EDMs allows them to test existing
theories, but also makes them hard to measure. Such EDM experiments
are inexpensive, at least compared to building accelerators of
ever-greater energy.
Lab Manual for Biomedical Engineering: Devices and Systems examines
key concepts in biomedical systems and signals in a laboratory
setting. The book gives students the opportunity to complete both
measurement and math modeling exercises, thus demonstrating that
the experimental real-world setting directly corresponds with
classroom theory. All the experiments in the lab manual have been
extensively class-tested and cover concepts such as wave math,
Fourier transformation, electronic and random noise, transfer
functions, and systems modeling. Each experiment builds on
knowledge acquired in previous experiments, allowing the level of
difficulty to increase at an appropriate pace. In completing the
lab work, students enhance their understanding of the lecture
course. The third edition features expanded exercises, additional
sample data and measurements, and lab modifications for increased
ease and simple adaptation to the online teaching and learning
environment. Individual activities have also been added to aid with
independent learning. Lab Manual for Biomedical Engineering is
ideal for undergraduate courses in biomedical engineering comprised
of students who have completed introductory electrical and
mechanical physics courses. A two-semester background in calculus
is recommended.
Providing the knowledge and practical experience to begin analysing
scientific data, this book is ideal for physical sciences students
wishing to improve their data handling skills. The book focuses on
explaining and developing the practice and understanding of basic
statistical analysis, concentrating on a few core ideas, such as
the visual display of information, modelling using the likelihood
function, and simulating random data. Key concepts are developed
through a combination of graphical explanations, worked examples,
example computer code and case studies using real data. Students
will develop an understanding of the ideas behind statistical
methods and gain experience in applying them in practice. Further
resources are available at www.cambridge.org/9781107607590,
including data files for the case studies so students can practise
analysing data, and exercises to test students' understanding.
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