Matches in SemOpenAlex for { <https://semopenalex.org/work/W2963807203> ?p ?o ?g. }
- W2963807203 endingPage "724" @default.
- W2963807203 startingPage "719" @default.
- W2963807203 abstract "The use of machine learning is becoming ubiquitous in astronomy, but remains rare in the study of the atmospheres of exoplanets. Given the spectrum of an exoplanetary atmosphere, a multi-parameter space is swept through in real time to find the best-fit model. Known as atmospheric retrieval, it is a technique that originates from the Earth and planetary sciences. Such methods are very time-consuming and by necessity there is a compromise between physical and chemical realism versus computational feasibility. Machine learning has previously been used to determine which molecules to include in the model, but the retrieval itself was still performed using standard methods. Here, we report an adaptation of the random forest method of supervised machine learning, trained on a pre-computed grid of atmospheric models, which retrieves full posterior distributions of the abundances of molecules and the cloud opacity. The use of a pre-computed grid allows a large part of the computational burden to be shifted offline. We demonstrate our technique on a transmission spectrum of the hot gas-giant exoplanet WASP-12b using a five-parameter model (temperature, a constant cloud opacity and the volume mixing ratios or relative abundance by number of water, ammonia and hydrogen cyanide). We obtain results consistent with the standard nested-sampling retrieval method. Additionally, we can estimate the sensitivity of the measured spectrum to constraining the model parameters and we can quantify the information content of the spectrum. Our method can be straightforwardly applied using more sophisticated atmospheric models and also to interpreting an ensemble of spectra without having to retrain the random forest." @default.
- W2963807203 created "2019-07-30" @default.
- W2963807203 creator A5019327228 @default.
- W2963807203 creator A5037348250 @default.
- W2963807203 creator A5037842237 @default.
- W2963807203 creator A5083445640 @default.
- W2963807203 date "2018-06-25" @default.
- W2963807203 modified "2023-09-30" @default.
- W2963807203 title "Supervised machine learning for analysing spectra of exoplanetary atmospheres" @default.
- W2963807203 cites W1480376833 @default.
- W2963807203 cites W1839094326 @default.
- W2963807203 cites W1972421498 @default.
- W2963807203 cites W1985663566 @default.
- W2963807203 cites W1990119892 @default.
- W2963807203 cites W2022875455 @default.
- W2963807203 cites W2035188186 @default.
- W2963807203 cites W2045046598 @default.
- W2963807203 cites W2051210036 @default.
- W2963807203 cites W2055802842 @default.
- W2963807203 cites W2058224795 @default.
- W2963807203 cites W2060819359 @default.
- W2963807203 cites W2078720990 @default.
- W2963807203 cites W2088586328 @default.
- W2963807203 cites W2088800531 @default.
- W2963807203 cites W2106980241 @default.
- W2963807203 cites W2108915436 @default.
- W2963807203 cites W2110024664 @default.
- W2963807203 cites W2113242816 @default.
- W2963807203 cites W2120931289 @default.
- W2963807203 cites W2143703996 @default.
- W2963807203 cites W2158222867 @default.
- W2963807203 cites W2166520721 @default.
- W2963807203 cites W2170742148 @default.
- W2963807203 cites W2173180689 @default.
- W2963807203 cites W2293557985 @default.
- W2963807203 cites W2531263803 @default.
- W2963807203 cites W2565452598 @default.
- W2963807203 cites W2622937564 @default.
- W2963807203 cites W2626026142 @default.
- W2963807203 cites W2748261474 @default.
- W2963807203 cites W2911964244 @default.
- W2963807203 cites W2963299622 @default.
- W2963807203 cites W3101359043 @default.
- W2963807203 cites W3101474964 @default.
- W2963807203 cites W3101862033 @default.
- W2963807203 cites W3101945907 @default.
- W2963807203 cites W3102098442 @default.
- W2963807203 cites W3103180147 @default.
- W2963807203 cites W3103448631 @default.
- W2963807203 cites W3104188978 @default.
- W2963807203 cites W3121912651 @default.
- W2963807203 cites W3124312923 @default.
- W2963807203 cites W4240733927 @default.
- W2963807203 doi "https://doi.org/10.1038/s41550-018-0504-2" @default.
- W2963807203 hasPublicationYear "2018" @default.
- W2963807203 type Work @default.
- W2963807203 sameAs 2963807203 @default.
- W2963807203 citedByCount "57" @default.
- W2963807203 countsByYear W29638072032018 @default.
- W2963807203 countsByYear W29638072032019 @default.
- W2963807203 countsByYear W29638072032020 @default.
- W2963807203 countsByYear W29638072032021 @default.
- W2963807203 countsByYear W29638072032022 @default.
- W2963807203 countsByYear W29638072032023 @default.
- W2963807203 crossrefType "journal-article" @default.
- W2963807203 hasAuthorship W2963807203A5019327228 @default.
- W2963807203 hasAuthorship W2963807203A5037348250 @default.
- W2963807203 hasAuthorship W2963807203A5037842237 @default.
- W2963807203 hasAuthorship W2963807203A5083445640 @default.
- W2963807203 hasBestOaLocation W29638072032 @default.
- W2963807203 hasConcept C121332964 @default.
- W2963807203 hasConcept C1276947 @default.
- W2963807203 hasConcept C154945302 @default.
- W2963807203 hasConcept C163479331 @default.
- W2963807203 hasConcept C41008148 @default.
- W2963807203 hasConcept C4839761 @default.
- W2963807203 hasConcept C51244244 @default.
- W2963807203 hasConcept C87355193 @default.
- W2963807203 hasConceptScore W2963807203C121332964 @default.
- W2963807203 hasConceptScore W2963807203C1276947 @default.
- W2963807203 hasConceptScore W2963807203C154945302 @default.
- W2963807203 hasConceptScore W2963807203C163479331 @default.
- W2963807203 hasConceptScore W2963807203C41008148 @default.
- W2963807203 hasConceptScore W2963807203C4839761 @default.
- W2963807203 hasConceptScore W2963807203C51244244 @default.
- W2963807203 hasConceptScore W2963807203C87355193 @default.
- W2963807203 hasIssue "9" @default.
- W2963807203 hasLocation W29638072031 @default.
- W2963807203 hasLocation W29638072032 @default.
- W2963807203 hasOpenAccess W2963807203 @default.
- W2963807203 hasPrimaryLocation W29638072031 @default.
- W2963807203 hasRelatedWork W2047542937 @default.
- W2963807203 hasRelatedWork W2257465109 @default.
- W2963807203 hasRelatedWork W2498643490 @default.
- W2963807203 hasRelatedWork W2946570097 @default.
- W2963807203 hasRelatedWork W2979918321 @default.
- W2963807203 hasRelatedWork W2998372956 @default.
- W2963807203 hasRelatedWork W3008132438 @default.