Syllabus
* Basics:
Experiment in physics and its automation, computer controlled experiment, physical quantities and their conversions, sensors and transducers (passive, active, w/feedback)
* Analog signals:
Standards and calibration, role of reference and background, conditioning of analog (and digital) signals, synchronous detection, types of signal sources and measurement systems, spectral analysis, sources and types of noise in measurements, noise coupling, balanced systems
* Digital signals:
Conversion of analog signal to digital (digitization) and backwards, signal sampling, Nyquist theorem and aliasing, quantization and coding, sources and types of conversion errors, dithering, examples of A/D and D/A converters, multichannel conversion
* Time series:
Logic signals, timing of logic signals and timing errors, time and frequency measurement (clocks, counters, indirect and direct methods), on-line and off-line data processing, spectral response of linear systems, convolution, interpolation, filtration, time series relationships, other manipulations in time domain (resampling, joining, synchronization)
* Measurement of analogue and digital signals in electron spectroscopy:
Basics of electron spectroscopy, measurement methods, spectra processing (fitting, background subtraction, filtering, …), data file formats, spectroscopic data collection and processing software (SpecsLab, WSpectra, FITT, …), data collection and processing using LabView, visualisation, analysis and presentation of experimental data using Igor Pro and Origin Pro
* Methods of image measurement and analysis:
Image acquirement, processing and analysis, types of images, corrections of imaging system distortions, calibration and spectral analysis of images, filtration, thresholding, measurement of distances and sizes of objects, examples of diffraction pattern processing, description of island structures, processing of scanning microscopy images
Annotation
Computer acquisition and control in experiment, sensors, transducers. Analog measurement systems, signal processing, noise.
Digitalization, A/D and D/A converters. Time series, logic signals, counters.
Measurement of analogue and digital signals in electron spectroscopy. Image acquirement and analysis.
Data collection and processing software.