How do I identify anomalous stars in my dataset? For…
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How do I identify anomalous stars in my dataset?
For context, I'm a high school student whose been given a paper topic by my physics teacher. I chose the topic of Luminosity and tis relationship with temperature, and am testing for stefan-boltmann constant. I got within 6% via a sql database and numpy.polyfit which is pretty good ngl, but the general concensus is that without proper cleaning of the data and an uncertainty calculation, this quantity is scientifically meaningless.
I've been using the GAIA archive, astrophysical\_parametrs. The thing is, I have no idea how I'd start with analying which stars are to be ignored. My biggest weakness is probably the blackbody-approximation but there's very little info online on which stars deviate from that. If more info is needed pls ask, I've already got a draft 1 written.
#science
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For context, I'm a high school student whose been given a paper topic by my physics teacher. I chose the topic of Luminosity and tis relationship with temperature, and am testing for stefan-boltmann constant. I got within 6% via a sql database and numpy.polyfit which is pretty good ngl, but the general concensus is that without proper cleaning of the data and an uncertainty calculation, this quantity is scientifically meaningless.
I've been using the GAIA archive, astrophysical\_parametrs. The thing is, I have no idea how I'd start with analying which stars are to be ignored. My biggest weakness is probably the blackbody-approximation but there's very little info online on which stars deviate from that. If more info is needed pls ask, I've already got a draft 1 written.
#science
source
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