NY Lup

Observations

We used iTelescope Network of Telescopes to observe NY Lup from Deep Sky Chile on 5/31/23 and 6/1/23. The data we gathered gave us a strong belief that what we were looking at was an IP.  We collected a total of 72 images. The first 24 had an exposure time of 60sec and a wait time of 240sec. The 48 other images had an exposure time of 60sec and a wait time of 120sec. we found that we were not able to find the higher period (9.8 h from NASA IP Candidate List ) but we could find the shorter one.  We were able to verify a period of roughly 12min, which does match the suspected spin period of the white dwarf (11.55 min).

Light Curves 

Below is the light curves of both image sets that used a 60s exposure time, and V filter. The left light curve had a 240s wait period between each image taken. The Light curve on the right had a 120s wait period between each image taken.

24 images, 240sec wait time.


48 images, 120sec wait time.


Period Analysis (Power vs Frequency)

 Below is the Period analysis (Power vs Frequency) of both the image sets taken. They both had a Range (Frequency) of 48 (Low) and 300 ( High)

24 images

48 images

Period Analysis (Power vs Period)

Below is the Period analysis (Power vs Period) of both image sets. They both used a Range of 0.005d (Low) and 0.05d (High)

48 images


24 images

Phase Plots

Below is the Phase plots of both the image sets. 

48 images

24 images

Combined Data

Below is the Light Curve, Period Analysis (Power vs Frequency, Power vs Period), and Phase Plot of all 72 images we collected before and after subtracting the difference between the average Brightness(Magnitude) of each set of images.

The Light Curve chart of all 72 images

The Light Curve chart of all 72 images

72 image set

Period Analysis of all 72 images. 

Phase Plot of all 72 images

Spin Period Analysis

The spin period of NY Lup according to Nasa (NASA IP Candidate List) is 0.0080209. we found a spin period of roughly 0.0083347d.

Above is the Significance analysis that was made from the chart to the left. We found that we have a false probability of roughly 97% and a 1.5% that our observations contain different periods than the one we found.

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