ls14 - AST 3722C spring 08 class 14 tues april 15 We're in...

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AST 3722C - spring 08 - class 14. tues april 15 ---- We're in chapter 18. -- detectors. last time -- detailed stuff on statistics, getting S/N from a CCD. More bits: So we had the CCD equation: S/N = n * t / sqrt( n * t + npix(nsky * t + ndark * t + nrd^2)) Often the sky will dominate, so: S/N = n * t / sqrt( n * t + npix * nsky * t ) S/N = sqrt(t) * n / sqrt(n + npix*nsky) propto sqrt(t) In some cases the sky will contribute very little -- moonless nights, blue wvln where QE is low, but CCD has not so much dark current S/N = n * t / sqrt( npix * nrd^2 ) S/N = t * (n / nrd) / sqrt(npix) propto t In the general case, you can solve for t to get a specific S/N, just use algebra and quadratic formula. S/N = n * t / sqrt( n * t + npix( n_s*t + n_d*t + n_r^2 ) ) t = (-B +/- sqrt(B^2 - 4AC))/2A usually only 1 solution will be physical (real). A = n^2. B = -((S/N)^2)*(n + npix(nsky+ndark)) C = -((S/N)^2)*npix*nrd^2 How is S/N related to error in the measurement? Fairly simply. The fractional error is 1/(S/N). So if S/N=3, then the flux density is f +/- 0.333f. If S/N=10, then the flux density is f +/- 0.1f. How does that relate in magnitudes? Be careful: m = -2.5*log(f/f0) = -(2.5/ln10)ln(f/f0) sigma_m^2 = ( -(2.5/ln10)(f0/f)(sigma_f/f0) )^2 sigma_m = (sigma_f/f)(2.5/ln10) = (1/(S/N))*(2.5/ln10) = (1/(S/N))*1.086. so actually S/N is closely related to error in magnitude in a straightforward numerical way. S/N=3 --> error in mag is ~0.33 (really 0.362) S/N=10 --> error in mag is ~0.10 (really 0.109) S/N=100 --> error in mag is ~0.01 (really 0.011) This should give you a clue about quality of a measurement simply based on the magnitude error that's quoted. If uncertainty is 0.3-0.4 mag, it's basically a really poor detection. Last thing: some typical numbers about CCD -- handout #29 - page 45 from Howell. handout #30 - typical flat field-- dust donuts! -------------------------------------- Sec 15.7,15.8,19.9,
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Next thing - some info about spectroscopy. Taking pictures in astronomy is very useful but you get the _most_ info about things with spectra. Spectra tell you about - composition, temp, speed -- remember that from AST 2002? they can also tell you other stuff too: surface gravity, vertical structure, magnetic field strength. Spectra are extremely powerful data for galaxies, stars,
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This note was uploaded on 11/09/2009 for the course AST 4700 taught by Professor Fernandez during the Spring '09 term at University of Central Florida.

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ls14 - AST 3722C spring 08 class 14 tues april 15 We're in...

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