Sensing and Signal Analysis
Keywords |
Classification |
Keyword |
OFICIAL |
Physics |
Instance: 2024/2025 - 2S 
Cycles of Study/Courses
Teaching Staff - Responsibilities
Teaching language
English
Obs.: Inglês
Objectives
To give the students an insight into optical sensing, mainly interferometric based, supported by classical, semi-classical and quantum principles, addressing in each of the cases the relevant characteristics, applications, noise sources and signal analysis techniques.
Learning outcomes and competences
The students will be able to understand the basic principles of interferometric optical sensing, including the effect of the source coherence in the sensing device.
They are expected to understand homodyne and heterodyne techniques for signal recovery.
The students should understand the evolution from classical to semi-classic optical sensors, as well as the importance of quantum sensing for ultra-precise measurements.
Working method
Presencial
Program
A. Sensing and data analysis techniques and methods
- What is a sensor and how to characterize one: limit, ranges, sensitivity, saturation, and noise;
- Handling experimental data: measurement, errors, and conveying the message with informative graphs;
- Brief introduction to machine learning techniques and best practices for science: regression and classification.
B. Classical Optical Interferometers for Measurement/Sensing
- Why Light Excels in sensing and what is an interferometer;
- The building-blocks of interferometers: optical sources; splitters; polarization control; photodetectors (multiple and single photon detection, and sources of noise);
- Signal-to-noise ratio and merit factor of an interferometer.
B.1. Homodyne detection
- What is homodyne detection and how to use it: From fibers to free space;
- Hands-on with digital off-axis holography for wavefront sensing;
B.2. Heterodyne detection
- Pros and cons of heterodyne detection for phase recovery in optical interferometers and characterization of their performance;
- Hands-on with heterodyne detection in the context of optical fiber sensors;
B.3. Outlook and perspectives of classical interferometers
- Discussion of the past, present and future of interferometers: distributed sensing, distributed acoustic sensing, vernier effect, integrated optics, and optofluidics;
C. Semi-Classical Optical Interferometers for Measurement/Sensing
- The Heisenberg phase resolution limit in an optical interferometer
- What is squeezed light and how to generate it using optical non-linear interactions (optical parametric amplification and frequency doubling)
C.1. The case study of the LIGO interferometric observatory
D. Optical Interferometers for Quantum Measurement/Sensing
- Entangled photons and interferometers.
- Optical sources for emission of entangled photons and optical detectors with the ability to distinguish photon numbers at the level of single photons.
- Optical sources for detection of photons, and signal-to-noise ratio.
- The entangled N00N quantum state in a Mach-Zehnder interferometer.
- The environment problem.
- Evolution of the signal processing techniques mastered in classical optical interferometry to address the phase recovery in quantum interferometers.
- Quantum sensor and the sensing protocol.
D.1. Outlook of Quantum optical sensing
- Quantum metrology and its future impact: the road to ultra sensitivity, super resolution, and the International System of Units.
E. Additional survey of optical sensors
Mandatory literature
Robert D. Guenther;
Modern optics. ISBN: 0-471-51288-5
Complementary Bibliography
Reitze, David; Saulson, Peter; Grote, Hartmut (Editors); Advanced Interferometric Gravitational-wave Detectors: Essentials of Gravitational Wave Detectors. ISBN: 978-9813146075
Bachor, Hans-A.; Ralph, Timothy C.; A Guide to Experiments in Quantum Optics. ISBN: 978-3-527-41193-1
Max Born;
Principles of optics. ISBN: 0-08-018018-3
Teaching methods and learning activities
Classes based on interactive discussion of the theoretical concepts, with relevant examples and problem solving.
Hands-on activities and demonstrations (computational and experimental).
Visits to laboratories in order to understand relevant experiments ongoing on the research labs.
Evaluation Type
Distributed evaluation with final exam
Assessment Components
designation |
Weight (%) |
Exame |
60,00 |
Trabalho escrito |
40,00 |
Total: |
100,00 |
Amount of time allocated to each course unit
designation |
Time (hours) |
Estudo autónomo |
120,00 |
Frequência das aulas |
42,00 |
Total: |
162,00 |
Eligibility for exams
According to the FCUP regulations for the assessment of students
Calculation formula of final grade
All students must take the final exam.
Sudents can choose to be assessed only based on the final exam, in which case the exam grade is the final grade.
An optional written report can be considered for 40% of the grade. In this case, the final grade is computed as:
Final = 0.6×E + 0.4×R (E: exam, R: report)