FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3107758741> ?p ?o ?g. }

• W3107758741 abstract "Magnetic activity in stars manifests as dark spots on their surfaces that modulate the brightness observed by telescopes. These light curves contain important information on stellar rotation. However, the accurate estimation of rotation periods is computationally expensive due to scarce ground truth information, noisy data, and large parameter spaces that lead to degenerate solutions. We harness the power of deep learning and successfully apply Convolutional Neural Networks to regress stellar rotation periods from Kepler light curves. Geometry-preserving time-series to image transformations of the light curves serve as inputs to a ResNet-18 based architecture which is trained through transfer learning. The McQuillan catalog of published rotation periods is used as ansatz to groundtruth. We benchmark the performance of our method against a random forest regressor, a 1D CNN, and the Auto-Correlation Function (ACF) - the current standard to estimate rotation periods. Despite limiting our input to fewer data points (1k), our model yields more accurate results and runs 350 times faster than ACF runs on the same number of data points and 10,000 times faster than ACF runs on 65k data points. With only minimal feature engineering our approach has impressive accuracy, motivating the application of deep learning to regress stellar parameters on an even larger scale" @default.
• W3107758741 created "2020-12-07" @default.
• W3107758741 creator A5002559368 @default.
• W3107758741 creator A5013199442 @default.
• W3107758741 creator A5022671363 @default.
• W3107758741 creator A5027529036 @default.
• W3107758741 creator A5046091241 @default.
• W3107758741 creator A5065660300 @default.
• W3107758741 creator A5066516763 @default.
• W3107758741 creator A5084749502 @default.
• W3107758741 creator A5087549580 @default.
• W3107758741 date "2020-12-02" @default.
• W3107758741 modified "2023-10-16" @default.
• W3107758741 title "RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks." @default.
• W3107758741 cites W2043250362 @default.
• W3107758741 cites W2099593264 @default.
• W3107758741 cites W2106307962 @default.
• W3107758741 cites W2117539524 @default.
• W3107758741 cites W2163605009 @default.
• W3107758741 cites W2165698076 @default.
• W3107758741 cites W2194775991 @default.
• W3107758741 cites W2549139847 @default.
• W3107758741 cites W3014052783 @default.
• W3107758741 cites W3031110907 @default.
• W3107758741 cites W3089754549 @default.
• W3107758741 cites W3098471461 @default.
• W3107758741 cites W3117250934 @default.
• W3107758741 cites W3124586559 @default.
• W3107758741 cites W3208133533 @default.
• W3107758741 hasPublicationYear "2020" @default.
• W3107758741 type Work @default.
• W3107758741 sameAs 3107758741 @default.
• W3107758741 citedByCount "0" @default.
• W3107758741 crossrefType "posted-content" @default.
• W3107758741 hasAuthorship W3107758741A5002559368 @default.
• W3107758741 hasAuthorship W3107758741A5013199442 @default.
• W3107758741 hasAuthorship W3107758741A5022671363 @default.
• W3107758741 hasAuthorship W3107758741A5027529036 @default.
• W3107758741 hasAuthorship W3107758741A5046091241 @default.
• W3107758741 hasAuthorship W3107758741A5065660300 @default.
• W3107758741 hasAuthorship W3107758741A5066516763 @default.
• W3107758741 hasAuthorship W3107758741A5084749502 @default.
• W3107758741 hasAuthorship W3107758741A5087549580 @default.
• W3107758741 hasConcept C108583219 @default.
• W3107758741 hasConcept C11413529 @default.
• W3107758741 hasConcept C121332964 @default.
• W3107758741 hasConcept C130726490 @default.
• W3107758741 hasConcept C138885662 @default.
• W3107758741 hasConcept C150846664 @default.
• W3107758741 hasConcept C153180895 @default.
• W3107758741 hasConcept C154945302 @default.
• W3107758741 hasConcept C2776401178 @default.
• W3107758741 hasConcept C31972630 @default.
• W3107758741 hasConcept C41008148 @default.
• W3107758741 hasConcept C41895202 @default.
• W3107758741 hasConcept C44870925 @default.
• W3107758741 hasConcept C50644808 @default.
• W3107758741 hasConcept C74050887 @default.
• W3107758741 hasConcept C81363708 @default.
• W3107758741 hasConceptScore W3107758741C108583219 @default.
• W3107758741 hasConceptScore W3107758741C11413529 @default.
• W3107758741 hasConceptScore W3107758741C121332964 @default.
• W3107758741 hasConceptScore W3107758741C130726490 @default.
• W3107758741 hasConceptScore W3107758741C138885662 @default.
• W3107758741 hasConceptScore W3107758741C150846664 @default.
• W3107758741 hasConceptScore W3107758741C153180895 @default.
• W3107758741 hasConceptScore W3107758741C154945302 @default.
• W3107758741 hasConceptScore W3107758741C2776401178 @default.
• W3107758741 hasConceptScore W3107758741C31972630 @default.
• W3107758741 hasConceptScore W3107758741C41008148 @default.
• W3107758741 hasConceptScore W3107758741C41895202 @default.
• W3107758741 hasConceptScore W3107758741C44870925 @default.
• W3107758741 hasConceptScore W3107758741C50644808 @default.
• W3107758741 hasConceptScore W3107758741C74050887 @default.
• W3107758741 hasConceptScore W3107758741C81363708 @default.
• W3107758741 hasLocation W31077587411 @default.
• W3107758741 hasOpenAccess W3107758741 @default.
• W3107758741 hasPrimaryLocation W31077587411 @default.
• W3107758741 hasRelatedWork W2065532082 @default.
• W3107758741 hasRelatedWork W2121481463 @default.
• W3107758741 hasRelatedWork W2154598961 @default.
• W3107758741 hasRelatedWork W2470859394 @default.
• W3107758741 hasRelatedWork W2784610877 @default.
• W3107758741 hasRelatedWork W2886408278 @default.
• W3107758741 hasRelatedWork W2907262725 @default.
• W3107758741 hasRelatedWork W2949506799 @default.
• W3107758741 hasRelatedWork W2959953250 @default.
• W3107758741 hasRelatedWork W3033124288 @default.
• W3107758741 hasRelatedWork W3036313178 @default.
• W3107758741 hasRelatedWork W3097846085 @default.
• W3107758741 hasRelatedWork W3099811482 @default.
• W3107758741 hasRelatedWork W3101692948 @default.
• W3107758741 hasRelatedWork W3104630509 @default.
• W3107758741 hasRelatedWork W3126173966 @default.
• W3107758741 hasRelatedWork W3157311533 @default.
• W3107758741 hasRelatedWork W3166820528 @default.
• W3107758741 hasRelatedWork W3183952488 @default.
• W3107758741 hasRelatedWork W3213956972 @default.
• W3107758741 isParatext "false" @default.
• W3107758741 isRetracted "false" @default.

• next