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Introduction To create useful data out of the observed raw data, data reduction must be used. To reduce the data the system calibration, zero points and color transformation coefficients, must be known and figured in. If All-Sky photometry is done, the extinction for each session must be determined. Extinction is a function of the transparency of the atmosphere and the air mass. For Differential photometry a seasonal average can be used if the program and comparison stars are not too far apart. Because reducing raw data counts can be very time consuming and tedious, a computer program that handles this is a must. To calibrate your equipment some of the data reduction must be done manual. Once the data reduction transformation coefficients have been determined a computer program can use those to crank out accurate magnitudes. The following is presented to show what goes into the reduction of the raw data to obtain the data reduction transformation coefficients and create useful magnitudes. Air Mass
By definition, a star at the zenith (Z= 0 degrees) has an air mass of X= 1.0000. Air Mass = X At Z= 30 degrees from the zenith, X= 1.1547. X= Sec (Z) = 1/Cos (Z) As can be seen, as the star approaches the horizon, the computed air mass approaches infinity. This is why stars close to the horizon are very difficult to work with. The real air mass does not approach infinity, however, due to the curvature of the Earth, and the above relationship becomes inaccurate. Because this is not an exact solution (primarily due to the curvature of the atmosphere) a correction factor should be included The resulting improved equation is:
X= Sec(Z) * (1 - 0.0012 * Sec (Z) * Sec2 ( Z - 1 ) ) This is easy to figure if you know the star's hour angle. The value of Z can be measured directly with the use of a protractor and a string with a weight. Simply measure the angle the telescope makes with the string (vertical or zenith) and subtract it from 90 degrees. However, this is not always easy to do, not very accurate, and requires additional data logging during the observations. It's usually best to use a computer program to determine the air mass. Extinction Coefficients Suggested red-blue pairs are listed in this program. The pair of stars does not need to have previously determined UBV magnitudes. Only a large difference in instrumental color is required. Choose a pair of stars that will transverse a large range of air mass during the observing time available (i.e., stars with declination close to the celestial equator). Second Order Coefficients k"v and k"bv vored = vred - (k'v + k"v * (b - v)red) * Xred vred = -2.5 * Log10 (averaged V filter Red star reading) voblue = Visual blue star instrumental mag corrected for atmospheric effects Xblue = Blue Star Air mass at observation vblue = -2.5 * Log10 (averaged V filter Blue star reading) k'v = First order visual extinction coefficient k"v = Second order visual extinction coefficient Then, by subtracting: (vored - voblue) = (vred - vblue) - k'v *(Xred - Xv) - k"v*((b - v)red * Xred - (b - v)blue) *Xblue) ((b - v)ored - (b-v)oblue) = ((b - v)red - (b - v)blue) - k'bv * (Xred - Xblue) - k"bv *((b - v)red * Xred - (b - v)blue * Xblue ) These equations are greatly simplified by using D to denote the difference between similar quantities for the red and blue star Dv = vred - vblue D(bv) = (b - v)red - (b - v)blue and recognizing that Xred ~ Xblue (or simply X, the mean air mass of the red-blue observation). Then, the above equations become: Dv = k"v * D(bv) * X + Dvo D(bv) = k"bv * D(bv) * X + D(bv)o For a more accurate determination, several red/blue pairs can be measured and a plot of Dv versus D(bv) * X made. The slope of the line is k"v. A similar plot of D(b-v) versus D(b-v) * X can be made. The slope of that line is k"bv. See Figures 40 and 41.
First Order Coefficients k'v and k'bv The following uses the blue star:
vblue - k"v *(b - v)blue * Xblue = k'v * Xblue + voblue Again, for a more accurate determination, several blue stars can be measured and a plot of (vblue - k"v * (b-v)blue* Xblue) versus Xblue can be made. The slope of the line is k'v. Similarly, a plot of the quantities ((b-v)blue - k"bv * (b-v)blue * Xblue) versus Xblue has a slope k'bv. Figures 42 and 43 show examples of these plots.
Although there are other techniques to calculate first-order coefficients, the method described here has the advantage that no other observations are needed except for those of the red-blue pair. Returning to the reduction of U filter data, we can write the relationship: (u - b)blue = k'ub Xblue + (u-b)oblue Then a plot of (u - b)blue versus Xblue has the slope k'ub. Again, a sample plot is shown below in Figure 44.
If the second-order extinction coefficients have temporal stability, they need not be re-determined on every night. Instead, a mean value for each k" can be adopted while solving only for the first-order coefficients. This is best done by observing the rising (or setting) of a single star with an instrumental color, (b - v), close to zero and applying last three equations in exactly the form as previously described. Transformation CoefficientsIntroductionOnce the raw data have been logged they must be reduced to be useful. If an analog system was used, observations must be corrected for any different gain settings. If a photon counting system was used the counts should be in counts per second and Dead Time corrections must be applied. Basic Procedure
Note: These are extinction-corrected transformed magnitudes. Where:
Note: The zero points drop out when doing differential photometry and the extinction coefficients also drop out if the stars are close together (less than a degree). Refer to ASTRONOMICAL PHOTOMETRY by Henden and Kaitchuck and PHOTOELECTRIC PHOTOMETRY OF VARIABLE STARS by Hall and Genet for details on determining transformation coefficients, extinction coefficients, and zero points. The above data reduction works for All-Sky and Differential photometry. Differential photoelectric photometry is the same except the sequence of the data taking is important. All references for the program or variable star are to a comparison star. The procedure for Differential photometry is as follows:
Dates and TimesIntroductionIt is necessary to accurately log the date and times of your observations. All times should be in Universal Times and dates should be in Julian Date format. If very precise timing is needed, the date should be in Heliocentric Julian Date format. Universal Time (UT) Local Sidereal Time. LST = GMS0hUT - LONG + 1.00274 * UT where GMST0hUT is the Greenwich Mean Sidereal Time at 0h UT for the date as listed in a reference like the Astronomical Almanac, the observer's longitude is a positive value if west of Greenwich and negative if east, and the factor 1.00274 represents the ratio of the sidereal and solar rates. Usually, it is necessary to convert longitude from arc units to time units to complete the calculation. If the result is outside the range 0-24 hours, then add or subtract 24 hours. Example: Converting from arc to time units, 111o35'52" is equivalent to 7h26m23s From the Astronomical Almanac, GMST0hUT = 23h11m08s Then, LST= 23h11m08s - 7h26m23s + 1.00274 x 4h25m16s If a table giving GMST0hUT is not available, the LST can still be found by adopting a specific date as a reference point and generalizing the above equation in the form: LST = 6h41m33s - LONG + 24h x mod(1.0027379093 x (JD - 2447892.5), 1) where 6h41m33s is the GMST for Julian Date 2447892.5 (= 0h UT on January 1, 1990) and the current UT has been converted to JD. The two-argument function mod(a,b) is the modulus function that is used in computer programs to find the fractional part of the quotient a/b (i.e., the remainder). mod(1.1,1) = 0.1, A problem inherent to this lengthy calculation is the need to maintain many significant digits. To keep time with a precision of one second, the JD must be specified to 12 significant digits (i.e., the nearest 0.00001 day)! Example: 4h25m16s UT on September 9, 1990 Then, LST = 6h 41m 33s - 7h 26m 23s + 24h x mod(251.87182,1) Double Dates For example, I start my observing on Friday night 27 February 2004. The double date entry would be 24/25 February 2004. There is then no ambiguity as it is obvious the night in question is the night between 24 and 25 February 2004. Julian Date (JD) Julian Date is the number of days that have elapsed from the beginning of Julian time. Julian Date is given in decimal form and not in hours, minutes, or seconds. The next Julian Day begins at noon Greenwich time or 12 hours Universal Time (UT). These dates and associated times are considered geocentric as they are referenced to the center of the Earth. The Origin of Julian Date This is a very convenient time because all of recorded history has happened since then. All recorded astronomical events of interest occurred after this date. Astronomers found this to be a very useful reference and by using it, times between events were independent of day-of-the-week, month, or year. Heliocentric Julian Date (HJD) For astronomical photoelectric photometry the use of Heliocentric Julian Date (HJD) allows precise timing information to be noted. One number can be used to reflect the precise timing (to the minute, second or microsecond, if needed). Heliocentric Julian Date is the Julian Date referenced to the center of the Sun and can be found using the following equations: HJD = JD (Geo) + Hel Corr The Hel Corr (Heliocentric Correction) can be determined by: Hel Corr = T * R * (Cos (L) * Cos (A) * Cos (D)) + R and L must be found from the AMERICAN EPHEMERIS AND NAUTICAL ALMANAC for each observing night or the data can be entered into a data reduction software program and the HJD calculated automatically. Manual Data Reduction Software Originally the program was developed in the early 1980s on a Sinclair ZX-81 computer using BASIC. Later it was programmed still in BASIC on a Z-100 computer. The first versions of the software reduced one set of data at a time. The program has progressed to the point where it handles all the raw data for each observing session, archives it, calculates air mass, HJD, reduces all the raw data and archives the reduced data. Lists of results can be displayed and printed. In addition, observatory data for multiple observatories, multiple observers, multiple different calibration data and extensive help are included. While currently only UBV data is currently handled, an expanded version that will include R and I data will be available in the future. Figure 45 shows a screen shot of the HPO SOFT UBV PEP Data Reduction Program Main Menu. Figures 45 A - 45 D show screen shots of the HPO SOFT UBV PEP Data Reduction Program Sub menus, data entry and reduced data displays.
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