Data Mining

I have just been watching (on YouTube) the Data Mining Workshop from last November, run by Colin Littlefield.

I am about 1h 30m into the video and Colin is talking about Jupyter notebooks and perhaps other items which were sent to participants in advance.

I have installed the Anaconda distribution of Python and Lightkurve, but I cannot progress without the Jupiter notebook/s and anything else he may be about to reference in the remainder of the workshop.

How might I access the package of materials that underpins the workshop?

Regards: Paul

Dear: the visual observation chart of this star has a minimum of 6.93, but I find myself searching the database for visual brightness less than 7.1?

Thanks

Does anyone know how to access Gaia DR2 or EDR3 time series data for an individual star via a GUI interface?

Internet searches have so far not helped me. 

Roy

Hello all,

I'm creating this topic so that we can streamline the post-workshop discussion. If you have any questions or comments, please feel free to share them!

Best,

Colin

Finding the offending eclipsing binary - A data-mining project

I ran across an interesting source of TESS data.  See

https://ui.adsabs.harvard.edu/abs/2019RNAAS...3....8O/abstract

and their earlier paper

https://ui.adsabs.harvard.edu/abs/2018AJ....156..132O/abstract

At least for my implementation of Excel: If you download a csv file from, say, SuperWasp, make sure you capture all significant digits before converting. That is how I managed to truncate my V1183Her times.

Ed

I am working through a download of SuperWasp data for an eclipsing binary (V1183 Her). Some of the data are suitable for calculating times of minima. However, I am also finding observations that have the same HJD, as shown below. (HJD, mag, error)

2454579.533, 12.8704, 0.0349

2454579.533, 12.9583, 0.0375

Hello Everyone,

For those of you wishing to data mine light curves from the TESS, K2, and Kepler missions, you might want to consider using LcTools, a large-scale Windows based software system for viewing and analyzing light curves. The system is optimized for processing large numbers of light curves in a fast and efficient manner to facilitate data mining activities.

The LcTools system consists of four major applications -- LcGenerator, LcSignalFinder, LcViewer, and LcReporter.