LiMovie cannot reliably track the faint star in the raw data…it is hard to tell what is happening to the faint star If there is a bright star in the field, a pre-registration can be done in six simple steps Do not ‘Optimize’ Press Save to create a ‘Registered’ file We can extract data from videos where wind vibration is excessive… Is there an occultation in this raw data?Īnd turn it into data that looks like this This was done with a 5-frame integration from raw data This was done with an 11-frame integration from raw data We can take LiMovie data that looks like this….

Integration can be done in four simple steps Videos can be easily and quickly integrated with Registax without any loss of video integrity and only the minimum required for time resolution So how do you do this?Registax to the rescue… This allows you to extract just enough of the signal to detect the event (or confirm a negative event), but no more than is necessary to avoid unnecessary loss of time resolution One solution to this problem is to use the non-integrating CCD video camera and then integrate the video after recording.

If you select an integration rate that is too long, you lose time resolution in your data.

At the maximum frame rate, they may not be as sensitive as the non-integrating cameras.

These are great cameras but there are a couple of problems WAT 120N and Astrovid Stellacam Lumenera SKYnyx2-0 SBIG STV To avoid this problem, some observers use integrating cameras such as: The problem comes when we try to reduce the data from these very low brightness events, sometimes the target star is not visible on the video monitor and sometimes in LiMovie we cannot see the target star to affix an aperture to measure the brightness Low light video cameras such as the Supercircuits PC164C and Watec WAT 902H series camerasallow observers to recordoccultations at the very limit of detectability Use of Registax and LiMovie for the Reduction of Marginal Occultations Tony George Umatilla, Oregon

Registax 6 tutorial video