text:   systematic errors in spectroscopy",6,"[""[1/6] New paper out! Even though the title kind of gives it away, here's a quick rundown of the paper... \n\n<LINK>\n\n#asteroseismology #exoplanets #machinelearning"", '[2/6] Asteroseismology is the best way to determine the properties of stars. This diagram shows the precision with which asteroseismology constrains the ages, masses, radii, and other properties of ~100 solar-type stars that were observed by the NASA Kepler mission. https://t.co/nPnNFsB4Yr', '[3/6] The great precision with which asteroseismology constrains stellar parameters is useful for many purposes, including studying exoplanets. This is because our ability to measure the properties of exoplanets hinges on our ability to measure the properties of their hosts. https://t.co/xPtl9RbqtX', ""[4/6] But what if our measurements of the host stars are wrong? This is what we looked at in this paper. This diagram shows how much (percentage-wise) each stellar property changes if the measured temperature (x-axis) and/or metallicity (y-axis) are wrong. It's not much! https://t.co/EHY5QTb7Cv"", '[5/6] All in all, this result is not too shocking. Here are some of the stars that we studied shown in the ""classical"" (left) and ""asteroseismic"" (right) HR diagrams. If you\'ve never seen the kind of diagram on the right before, it serves to reveal the power of asteroseismology. https://t.co/FD11eOrODL', '[6/6] So for all these results and more --- including comparisons of asteroseismology with Gaia DR2 data, and similar investigations into under-reported uncertainties, as well as a table of all confirmed exoplanets for these stars --- go check out the paper!']",18,12,1541