321 research outputs found
MOA-2011-BLG-262Lb : a sub-earth-mass moon orbiting a gas giant primary or a high velocity planetary system in the galactic bulge
No full textD.P.B. was supported by grants NASA-NNX12AF54G, JPL-RSA 1453175 and NSF AST-1211875. This MOA project is supported by the grants JSPS18253002 and JSPS20340052. T.S. acknowledges the financial support from the JSPS, JSPS23340044, JSPS24253004. This work was partially supported by a NASA Keck PI Data Award, administered by the NASA Exoplanet Science Institute. The Observatory was made possible by the generous financial support of the W. M. Keck Foundation. B.S.G. and A.G. were supported by NSF grant AST 110347. B.S.G., A.G., R.P.G. were supported by NASA grant NNX12AB99G. S.D. was partly supported through a Ralph E. and Doris M. Hansmann Membership at the IAS and by NSF grant AST-0807444. Work by J.C.Y. was performed in part under contract with the California Institute of Technology (Caltech) funded by NASA through the Sagan Fellowship Program. The OGLE project has received funding from the European Research Council under the European Community's Seventh Framework Programme (FP7/2007-2013)/ERC grant agreement No. 246678 to A.U. D.H. was supported by Czech Science Foundation grant GACR P209/10/1318. D.M.B., M.D., K.H., C.S., R.A.S., M.H. and Y.T. are supported by NPRP grant NPRP-09-476-1-78 from the Qatar National Research Fund (a member of the Qatar Foundation).We present the first microlensing candidate for a free-floating exoplanet-exomoon system, MOA-2011-BLG-262, with a primary lens mass of M host ~ 4 Jupiter masses hosting a sub-Earth mass moon. The argument for an exomoon hinges on the system being relatively close to the Sun. The data constrain the product MLπrel where ML is the lens system mass and πrel is the lens-source relative parallax. If the lens system is nearby (large πrel), then ML is small (a few Jupiter masses) and the companion is a sub-Earth-mass exomoon. The best-fit solution has a large lens-source relative proper motion, μrel = 19.6 ± 1.6 mas yr–1, which would rule out a distant lens system unless the source star has an unusually high proper motion. However, data from the OGLE collaboration nearly rule out a high source proper motion, so the exoplanet+exomoon model is the favored interpretation for the best fit model. However, there is an alternate solution that has a lower proper motion and fits the data almost as well. This solution is compatible with a distant (so stellar) host. A Bayesian analysis does not favor the exoplanet+exomoon interpretation, so Occam's razor favors a lens system in the bulge with host and companion masses of M host = 0.12 +0.19-0.06 MΘ and mcomp = 18+28-10M⊕, at a projected separation of a⊥ = 0.84+0.25−0.14 AU. The existence of this degeneracy is an unlucky accident, so current microlensing experiments are in principle sensitive to exomoons. In some circumstances, it will be possible to definitively establish the mass of such lens systems through the microlensing parallax effect. Future experiments will be sensitive to less extreme exomoons.Peer reviewe
Stellar variability in the MOA database
No full textResearch undertaken for this thesis aimed to detect and identify stellar variability in the database of the Japan/New Zealand MOA collaboration. The database of stars collected by the MOA project provided an extensive source of raw data for analysis. Detection of stellar variability was performed by several C++ programs created by the author, which incorporated the Welch and Stetson variability index, the Schwarzenburg-Czerny period folding program, a microlensing modelling program and a transit, detection program. The search for stellar variability produced 83 Cepheid variables, 265 long period variables, 59 eclipsing binaries and 6 potential microlensing events. Sixteen potentially interesting variations that could correspond to planetary transits were also detected. The folded lightcurve of one of the potential transits was categorised as a 'very interesting transit' and 15 were categorised as 'interesting transits'. The search for planetary transits ultimately proved unsuccessful, however, a detailed statistical study of the MOA data revealed several alterations concerning observational procedures which could be made to optimise the MOA data for any future search for planetary transits
Virtual 3D PDF of coastal moa (Euryapteryx curtus) skull
No full textThis zip file contains a virtual 3D skull (based on surface mesh of finite element model) of the coastal moa (Euryapteryx curtus) specimen NMNZ S30212 analysed in the paper. This file is in PDF format (.pdf) and can be viewed for free using the most recent version of adobe reader. Additional formats are available upon request to the author
Virtual 3D PDF South Island giant moa (Dinornis robustus) skull
No full textThis zip file contains a virtual 3D skull (based on surface mesh of finite element model) of the South Island giant moa (Dinornis robustus) specimen NMNZ S28225 analysed in the paper. This file is in PDF format (.pdf) and can be viewed for free using the most recent version of adobe reader. Additional formats are available upon request to the author
Virtual 3D PDF of crested moa (Pachyornis australis) skull
No full textThis zip file contains a virtual 3D skull (based on surface mesh of finite element model) of the crested moa (Pachyornis australis) specimen NMNZ S27896 analysed in the paper. This file is in PDF format (.pdf) and can be viewed for free using the most recent version of adobe reader. Additional formats are available upon request to the author
Virtual 3D PDF of little bush moa (Anomalopteryx didiformis) skull
No full textThis zip file contains a virtual 3D skull (based on surface mesh of finite element model) of the little bush moa (Anomalopteryx didiformis) specimen NMNZ S35274 analysed in the paper. This file is in PDF format (.pdf) and can be viewed for free using the most recent version of adobe reader. Additional formats are available upon request to the author
MOA - An Evaluation Model for Implementation and Use of IT in Organizations
No full textMOA is an evaluation model for implementation of IT in organisations, developed by the author. The model has been used for several evaluation studies, and has been slightly modified in order to be useful for different fields of informatics. The MOA-E model has been used for case studies within the field of Computer-Supported Co-operative Work and implementation of e-Government. The MOA-L model has been used for case studies within the field of e-Learning at work for web-based internally developed courses. The MOA model has also been used as a scenario model (MOA-S). The basic model primarily focuses on the three different aspects work processes (from a management perspective), work situations (from the perspectives of the employees) and quality of services (or product) produced (from the perspective of the customers/clients or patients). The model has mainly been used in a process-oriented way, studying implementation and use at different stages of the development process. The aim of the paper is to describe the model and the main experiences from the use of the model. Some experiences from the use of the model are usefulness for many different fields of informatics and flexibility. The model combines simplicity and complexity in a flexible way. The focus on different perspectives of the model facilitates the design of technology, organisation (and education) leading to a “win-win”-scenario for the different interest groups, and also the evaluation of consequences for different interest groups.</p
MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation
No full textWe introduce a new architecture for personalization of text-to-image
diffusion models, coined Mixture-of-Attention (MoA). Inspired by the
Mixture-of-Experts mechanism utilized in large language models (LLMs), MoA
distributes the generation workload between two attention pathways: a
personalized branch and a non-personalized prior branch. MoA is designed to
retain the original model's prior by fixing its attention layers in the prior
branch, while minimally intervening in the generation process with the
personalized branch that learns to embed subjects in the layout and context
generated by the prior branch. A novel routing mechanism manages the
distribution of pixels in each layer across these branches to optimize the
blend of personalized and generic content creation. Once trained, MoA
facilitates the creation of high-quality, personalized images featuring
multiple subjects with compositions and interactions as diverse as those
generated by the original model. Crucially, MoA enhances the distinction
between the model's pre-existing capability and the newly augmented
personalized intervention, thereby offering a more disentangled subject-context
control that was previously unattainable. Project page:
https://snap-research.github.io/mixture-of-attentionComment: Project Website:
https://snap-research.github.io/mixture-of-attention, Same as previous
version, only updated metadata because bib was missing an author nam
Mechanistic basis and evolutionary aspects of metabolic allometries in dragonflies and damselflies
No full textMechanistic basis and evolutionary aspects of metabolic allometries in dragonflies and damselflies
No full text- …
