LAT Light Curve Analysis: Aperture Photometry and ... - Fermi - NASA

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How should LAT data be weighted? Weighting RXTE ASM and oher light curves by their errors works very well? Can/should LAT data be weighted by their errors? − LAT rates are counts/exposure. − Errors are ~(counts) 1/2 /exposure. − But, there are very few counts in each time bin. There are therefore shot-noise variations in count rate & error. − Alternative is to use Exposure weighting. R. Corbet COSPAR CBW 2010 34
R. Corbet Exposure-Based Errors Calculate mean count rate. For each time bin, calculate the predicted number of counts for the exposure of that time bin. Take the square root of predicted number of counts. Divide by exposure to get rate error. This gives an error based only on the “quality” of each time bin. COSPAR CBW 2010 35
Page 1 and 2: R. Corbet LAT Light Curve Analysis:
Page 3 and 4: R. Corbet What is Photometry? Phot
Page 5 and 6: R. Corbet LAT Photometry LAT light
Page 7 and 8: LAT Aperture Optimization In optic
Page 9 and 10: Tools Used for Aperture Photometry
Page 11 and 12: Get Photon File Start/Stop Times $
Page 13 and 14: R. Corbet Calculate GTIs (Good Time
Page 15 and 16: Calculate Exposures of Time Bins $
Page 17 and 18: R. Corbet COSPAR CBW 2010 17
Page 19 and 20: R. Corbet barycentering barycenter
Page 21 and 22: R. Corbet Crude Approach to Low-Cou
Page 23 and 24: Looking for Binary Orbital Periods
Page 25: Power Spectrum of a Note Played R.
Page 28 and 29: R. Corbet Calculating Power Spectra
Page 30 and 31: • What should be done if data poi
Page 32 and 33: Weighting Can Reveal Orbital Period
Page 36 and 37: Exposure Weighted Rates vs. Unweigh
Page 38: Results of Looking for Binary Orbit

LAT Light Curve Analysis: Aperture Photometry and ... - Fermi - NASA

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