2 ms·
> We know Kepler results are heavily biased for (1) systems edge-on to us (2) with big planets (3) very close to their star. This article was written by an ast
by vanderZwan 8y ago
> We know Kepler results are heavily biased for (1) systems edge-on to us (2) with big planets (3) very close to their star.
This article was written by an astronomer working with Kepler, and I wonder why you apparently seem to believe that they are so naive that they forget about the bias in their own research tools.
Furthermore, the article explicitly mentions this issue, and provides an explanation for why they believe it does not apply, making me wonder if you read it at all:
> I concocted (on my laptop) imaginary planetary systems in which the sizes of planets orbiting a given star were random. Could some sort of bias in Kepler’s method of finding planets—which favors the detection of large planets close to their stars—contrive to make the planets in each of my imaginary systems appear to fit the pattern? The answer was no: in more 1000 trials with randomly assigned planet sizes put through a virtual Kepler’s detection scheme, a pattern of similarly-sized planets in the same systems never emerged.
Unless you have a reason to dispute this method of verification of course, but then you should share that.
I personally see no problem: the claim is implicitly that since the measured data does not match the predictions of the model, the model is wrong. The model + known bias of Kepler is used in simulation to generate expected statistical output of measured data sets. The generated data does not match the measured data. Hence, either the model of Kepler's bias is wrong, or the model of what planetary systems to expect.
Since we based the planetary system model on our own solar system, if that model is wrong then that makes our own solar system special.
- azernik 8y ago> Since we based the planetary system model on our own solar system, if that model is wrong then that makes our own solar system special. These two statements are not equivalent; the model may be wrong in its assumption of uncorrelated planet sizes and star type, for example.
- Lort 8y ago>This article was written by an astronomer working with Kepler, and I wonder why you apparently seem to believe that they are so naive that they forget about the bias in their own research tools. Exactly. I actually did some research on Weiss. So she studied astronomy at Harvard where she got her BS, then went on to Cambridge for her masters, and then a PhD from Berkeley. Now she works with NASA. Odd that all these people who clearly didn't even read the article seem to find supposedly obvious bias and flaws in the research of someone who is clearly among the top young researchers/experts in this field.
- ncmncm 8y agoThe author demonstrated that a particular model is not consistent with the selected systems. That is not evidence strongly in favor of a single other model (uniform sizes = normal) it is evidence very weakly in favor of every other possible model.