You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi, I'm new to the Sep module. I have two questions:
In order to obtain the photometry using Sep.sum_circle, I'm using "bkgann = inner radius, outer radius" argument to subtract the local background from the data. Now my question is, what is this bkgann value? Is it mean, median or mode value of the specified annulus?
Is there a way where I can specify the bkgann to take the median value from the specified annulus?
The ** 'thresh' ** argument in sep.extract(data, thresh) is basically some number that is interpreted as that number \times error to detect the sources if I understand it correctly. Now, I'm not sure how the error is calculated. It will be of great help if someone explains it or send me some link where it's well explained.
Thanks.
The text was updated successfully, but these errors were encountered:
Regarding the err argument to sep.extract: A typical use is to set err to the standard deviation (or "rms") of the image. You can use a single value (in which case err is a single value) or a spatially variable estimate (in which case err is a 2-d array). The latter is useful when the noise varies across the image. The tutorial has an example of using a single value:
Hi, I'm new to the Sep module. I have two questions:
In order to obtain the photometry using Sep.sum_circle, I'm using "bkgann = inner radius, outer radius" argument to subtract the local background from the data. Now my question is, what is this bkgann value? Is it mean, median or mode value of the specified annulus?
Is there a way where I can specify the bkgann to take the median value from the specified annulus?
The ** 'thresh' ** argument in sep.extract(data, thresh) is basically some number that is interpreted as that number \times error to detect the sources if I understand it correctly. Now, I'm not sure how the error is calculated. It will be of great help if someone explains it or send me some link where it's well explained.
Thanks.
The text was updated successfully, but these errors were encountered: