Three-Dimensional Modeling and Indoor Positioning for Urban Emergency Response
Three-dimensional modeling of building environments and indoor positioning is essential for emergency response in cities. Traditional ground-based measurement methods, such as geodetic astronomy, total stations, and global positioning system (GPS ...
Xin Zhang +4 more
doaj +1 more source
The Hands-On Universe Project and Modeling Instruction Based HOU: MI-HOU [PDF]
We describe here an evolving process to re-cast HOU (the Hands-On Universe project) into the conceptual framework, pedagogical structure, and teacher network of Modeling Instruction (“MI”).
Gould, Alan +8 more
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Bayesian models for astrophysical data: using R, JAGS, Python, and Stan [PDF]
This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to use directly or to adapt. It begins by examining the normal model from both frequentist and Bayesian perspectives and
Rafael S. de Souza +5 more
core +1 more source
Bjet_MCMC: A New Tool to Automatically Fit the Broadband Spectral Energy Distributions of Blazars
Multiwavelength observations are now the norm for studying blazars’ various states of activity, classifying them, and determining the possible underlying physical processes driving their emission.
Olivier Hervet +2 more
doaj +1 more source
Resolving Systematics in Deep Wide-field Imaging for Low Surface Brightness Astronomy [PDF]
The low surface brightness Universe is a treasure trove of extraordinarily interesting phenomena that are virtually unexplored. With advances in hardware and software in recent decades, astronomers are now capable of probing faint diffuse emission below ...
Liu, Qing
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Numerical modeling of the magnetosphere with data based internal magnetic field and arbitrary magnetopause [PDF]
We present a new model of the magnetospheric magnetic field. Using the finite element method, ChapmanFerraro problem is solved numerically in the considered approach.
Kartalev, M.D., Dobreva, P.S.
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Enhancing Pulsar Candidate Identification with Self-tuning Pseudolabeling Semisupervised Learning
In the field of astronomy, machine-learning technologies are becoming increasingly crucial for identifying radio pulsars. However, the process of acquiring labeled data, which is both time-consuming and potentially biased, poses a significant limitation ...
Yi Liu +3 more
doaj +1 more source
Methods for Incorporating Model Uncertainty into Exoplanet Atmospheric Analysis
A key goal of exoplanet spectroscopy is to measure atmospheric properties, such as abundances of chemical species, in order to connect them to our understanding of atmospheric physics and planet formation. In this new era of high-quality JWST data, it is
Matthew C. Nixon +3 more
doaj +1 more source
An Introduction to the 'Special Volume Spectroscopy and Chemometrics in R' [PDF]
This special volume collates ten issues under the rubric "Spectroscopy and Chemometrics in R". In so doing, it provides an overview of the breadth, depth and state of the art of R-based software projects for spectroscopy and chemometrics applications ...
Ivo H. M. van Stokkum +1 more
core +1 more source
Development and Application of a Situated Apprenticeship Approach to Professional Development of Astronomy Instructors [PDF]
Professional development for astronomy instructors largely focuses on enhancing their understanding of the limitations of professor-centered lectures while also increasing awareness and better implementation of learning strategies that promote a learner ...
Brissenden, Gina, Prather, Edward E.
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