16722 We:20090121noise51+1 noise. 16722 We:20090121noise51+2 noise: signal you don’t want technical noise: sources we can control.

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Presentation transcript:

16722 We: noise51+1 noise

16722 We: noise51+2 noise: signal you don’t want technical noise: sources we can control in the environment... or at least we can imagine some powerful being could control them without violating the underlying fundamental laws of physics fundamental noise: limits set by nature via temperature, quantization, and the laws of quantum mechanics (uncertainty principle) understand that nature sets these limits but engineers usually do much worse so... learn good engineering and to do better

16722 We: noise51+3 thermal / Nyquist / Johnson noise theory by Nyquist: Phys Rev (1928) adjacent experimental article by Johnson applies to all devices easiest to discuss for resistors, so we will … electrons moving randomly under influence of temperature generate a fluctuating voltage time average voltage is (of course) zero but power (~ V 2 ) can be delivered to another device at a lower temperature

16722 We: noise51+4 origin of thermal noise T2T2 T1T1 T 2 > T 1 voltage fluctuations (amplitude) are greater across the hotter device net power flows from the hotter device to the colder device eventually T 2 = T 1 net power flow

16722 We: noise51+5 size of thermal noise any thermodynamic system stores (at equilibrium) ½ kT energy per DoF bandwidth (  f) characteristic of “receiver” V noise 2 /R = (½ kT) (  f) (DoF/unit BW) 2 DoF for 2 directions of energy transfer 2 DoF for electric + magnetic fields 2 DoF for arbitrary polarization direction gives 2 x 2 x 2 = 8 states

16722 We: noise51+6 at room temperature kT ≈ (1/40) eV e ≈ 1.6 x coulomb/electron so 4 kT ≈ 0.1 x 1.6 x coulomb-volt say  f ≈ 300 kHz (e.g., an FM radio station) say R = 100 M  (e.g., an inexpensive digital voltmeter) V n ≈ ( x x ) 1/2 ≈ 7x10 -4 volt so RMS noise voltage ≈ 1 mV

16722 We: noise51+7 assignment 8) An inexpensive modern oscilloscope might have a signal bandwidth of 100 MHz; a typical pyroelectric “warm body sensor” has an output impedance around 100 M  ; what RMS noise voltage would you expect to see at room temperature, at 30 K, and at 3000 K?

16722 We: noise51+8 shot noise statistical fluctuations in current originating with the quantization of electronic charge moon phase 1991 Mar 10

16722 We: noise51+9 current and electrons current is not a continuum fluid … it is composed of a stream of individual electrons when the current is small … or the sampling time is short … a typical sample may contain a relatively small number of electrons the current corresponding to few thousand electrons/second is visible to a modern analog current measuring instrument statistical fluctuations from sample-to- sample are then apparent as “shot noise”

16722 We: noise51+10 I ampere = I coulomb/second dN/dt = I/e (coulomb/s)/(coulomb/electron) e = coulomb/electron (I/e)  t = N electron (seen in  t seconds)  N = (I  t/e) ½ (standard deviation of the distribution of the values seen for N)  I = e  N/  t (standard deviation of the distribution of the observed values of I  I = (e/  t) (I  t /e) ½ = (I e /  t) ½

16722 We: noise51+11 but what to use for  t ? surely it depends on 1/bandwidth, but how exactly? the “Nyquist sampling theorem”* says that the right numerical factor is 1/2 so need to sample for  t = (2 BW) -1 so  I = (I e /  t) ½  (2 BW e I) ½ if BW = 100 kHz and I = 10 mA then  I ≈ 18 nA, about 2 ppm of the signal * you can reconstruct a continuous function perfectly from discrete samples at ≥ 2x its highest Fourier frequency

16722 We: noise51+12 assignment 9) What is the magnitude of the shot noise you would expect to see on a current measured at the highest sensitivity setting of a typical modern picoammeter in bandwidth 100 kHz? (do a web search for “picoammeter” to find the specifications of a modern off-the-shelf commercial instrument)

16722 We: noise /f noise it is observed that noise power-per-unit- bandwidth increases with decreasing frequency, i.e., 1/f n, n ~ 1 called “pink” noise, in contrast to “white” noise character of Johnson and shot noise its origin is still an active research topic: quantum mechanics, uncertainty, chaos, etc but the phenomena is certainly ubiquitous and probably universal

16722 We: noise51+14 to read more about 1/f noise:

16722 We: noise51+15 assignmen t 10) Browse the given website on 1/f noise, select a subtopic and an article from the list “Specific Examples of 1/f Noise”, browse the article (or even just the abstract, if it is detailed enough: state the citation), and summarize what you read in ~ ½ page. Mention at least: is the method theoretical, computational, or experimental? what is the observation that exhibits 1/f noise? how close to 1 is the observed exponent?