Syllabus [see Calendar for course resources]


Subjects Covered


Sept 26

Organization of the course. Detectors. Measurement. Statistics. Error Lab.


Oct 1, Oct 3

More Statistics. Electronics, test equipment.

Noise+Signals Lab. Boxcar averaging. Python programing and tools.


Oct 8, Oct 10

Fourier analysis. Power spectrum. Spectral density. Fourier Techniques.

Wiener-Khintchine theorem. Sample theorem, Nyquist. Aliasing. Noise sources, spectral analysis. Digital spectral analysis.


Oct 15, Oct 17

Noise sources. Fluctuation-dissipation theorem. Johnson noise, shot noise, 1/f noise. Noise Lab 2

Device noise, kTC & flicker noise, noise in amplifiers. Signal/Noise ratio. Systematics. Chopping.

Assign Experiments


Oct 22, Oct 24

Midterm. Lab Experiments

Systematics. Experiment design. Chopping, lock-in detection. Null experiments. Examples. Uncovering systematics. Inclusive signatures. Sample bias. Monte Carlo simulation.


Oct 29, Oct 31

Optimal filters. Theory and applications. Signal Processing. Examples from optical, radar, sonar, CMB.

Low level signals. Low level analog noise reduction. Noise in amplifiers. Quantum noise limits. Electrical isolation. Grounding schemes and ground loops. Dynamic range. Pulse propagation, LAB. Common mode problems.


Nov 5, Nov 7

Detector physics. Photodiodes. Photomultiplier tubes. Intrinsic photoconductors. Infrared applications.

Black Body Radiation. Signal Sensitivity, Quantum efficiency, noise equivalent power. Superconducting tunnel junctions. Amplifiers. Readouts, A/D converters. Sampling noise.


Nov 12, Nov 14

Arrays. Correlated double sampling. CCD devices and their limitations. Charge transfer efficiency. CMOS devices and their problems. Hybrid PIN diode arrays. Novel architectures, thick silicon. Charge transport. Background and systematics avoidance.


Nov 19, Nov 21

Image processing. Removal of instrumental signatures. Fixed pattern noise, fringing, crosstalk. Correction algorithms. De-bias, gain calibration, flat fielding. Shift and stare imaging. Super flats.

Image reconstruction. Fringing removal. Optimal co-addition. Optimal filter examples. Automated object detection and generation of photometric catalogs. PSF weighted photometry. Second moments. Weak lens shear detection. Control of shear systematics.


Nov 26

Imaging Dark Matter. Pathological Science.


Dec 3, Dec 5

Quiz2. Laboratory dark matter searches. Python2.

Microwave detectors. Dicke switch. Cosmic microwave background history, WMAP. Systematic errors. Microwave spectral analysis. Planck and beyond.


Dec 12

1030-1230 individual lab notebooks and presentations

Project report deadline 4pm [reports handed in by Dec 11 receive full credit]