How to do photometry from NSL data
Posted: Wed Aug 25, 2004 8:38 pm
Tilvi and I (and others) have been investigating the best and simplist way to do photometry with NSL data. We have now settled on a method similar to how photometry is done with a normal telescope: relative measurements. Here is an algorithm:
Pick the star you want to study.
Pick a comparison star. Now we recommend that this comparison star be the brightest star in that constellation. The high brightness would help keep statistical noise as low as possible. The same constellation is a quick and simple method of getting a "nearby" star, even though "nearby" might be several degrees away. Tilvi has verified that even for stars several degrees away and a completely different color, the expected systematic error in relative photometry is usually below the statistical error.
Take the ratio of picked star to the comparison star. Errors should be either added in quadrature or done with a "top high / bottom low" & "top low / bottom high" technique. This is simply done in Excel. Anyone can do it.
If all the stars in a constellation are showing similar variability, then the brightest star is likely the real variable and the light curves should be re-computed with a new comparison star.
We will build up the "first NSL catalog" like this, and determine which of the brightest stars are currently variable on the simplist time scale (one night) and on the level of the statistical errors. Anyone who wants can pick a star and play along. In another topic I estimated crudely that perhaps one third of all stars will show varaibility even on this level. Please report your results to this forum and we will keep an online catalog of results. Tilvi has started out and reports some preliminary results here.
As the project matures data can be combined to search for smaller amplitude variability on longer time scales.
- RJN
Pick the star you want to study.
Pick a comparison star. Now we recommend that this comparison star be the brightest star in that constellation. The high brightness would help keep statistical noise as low as possible. The same constellation is a quick and simple method of getting a "nearby" star, even though "nearby" might be several degrees away. Tilvi has verified that even for stars several degrees away and a completely different color, the expected systematic error in relative photometry is usually below the statistical error.
Take the ratio of picked star to the comparison star. Errors should be either added in quadrature or done with a "top high / bottom low" & "top low / bottom high" technique. This is simply done in Excel. Anyone can do it.
If all the stars in a constellation are showing similar variability, then the brightest star is likely the real variable and the light curves should be re-computed with a new comparison star.
We will build up the "first NSL catalog" like this, and determine which of the brightest stars are currently variable on the simplist time scale (one night) and on the level of the statistical errors. Anyone who wants can pick a star and play along. In another topic I estimated crudely that perhaps one third of all stars will show varaibility even on this level. Please report your results to this forum and we will keep an online catalog of results. Tilvi has started out and reports some preliminary results here.
As the project matures data can be combined to search for smaller amplitude variability on longer time scales.
- RJN