Results 1 to 10 of about 43 (43)

Beyond Two-dimensional Mass–Radius Relationships: A Nonparametric and Probabilistic Framework for Characterizing Planetary Samples in Higher Dimensions

The Astrophysical Journal, 2023
Fundamental to our understanding of planetary bulk compositions is the relationship between their masses and radii, two properties that are often not simultaneously known for most exoplanets.
Shubham Kanodia, Matthias Y. He, Eric B. Ford, Sujit K. Ghosh, Angie Wolfgang   +4 more
doaj   +1 more source

TD-CARMA: Painless, Accurate, and Scalable Estimates of Gravitational Lens Time Delays with Flexible CARMA Processes

The Astrophysical Journal, 2023
Cosmological parameters encoding our understanding of the expansion history of the universe can be constrained by the accurate estimation of time delays arising in gravitationally lensed systems.
Antoine D. Meyer, David A. van Dyk, Hyungsuk Tak, Aneta Siemiginowska   +3 more
doaj   +1 more source

X-ray Time Lag Evaluation of MAXI J1820+070 with a Differential Cross-correlation Analysis

The Astrophysical Journal, 2023
MAXI J1820+070 is a transient black hole binary discovered on 2018 March 11. The unprecedented rich statistics brought by the NICER X-ray telescope allow detailed timing analyses up to ∼1 kHz uncompromised by photon shot noise. To estimate the time lags,
Tomoki Omama, Masahiro Tsujimoto, Ken Ebisawa, Misaki Mizumoto   +3 more
doaj   +1 more source

A Reinforcement Learning–Based Follow-up Framework

The Astronomical Journal, 2023
Classification and characterization of variable and transient phenomena are critical for astrophysics and cosmology. Given the volume of nightly data produced by ongoing and future surveys such as LSST, it is critical to develop automatic tools that ...
Javiera Astudillo, Pavlos Protopapas, Karim Pichara, Ignacio Becker   +3 more
doaj   +1 more source

PCAT-DE: Reconstructing Pointlike and Diffuse Signals in Astronomical Images Using Spatial and Spectral Information

The Astronomical Journal, 2023
Observational data from astronomical imaging surveys contain information about a variety of source populations and environments, and their complexity will increase substantially as telescopes become more sensitive.
Richard M. Feder, Victoria Butler, Tansu Daylan, Stephen K. N. Portillo, Jack Sayers, Benjamin J. Vaughan, Catalina V. Zamora, Michael Zemcov   +7 more
doaj   +1 more source

Computational AstroStatistics: Fast and Efficient Tools for Analysing Huge Astronomical Data Sources [PDF]

, 2006
Invited talk at "Statistical Challenges in Modern Astronomy III" July 18-21 2001.
Nichol, R. C., Chong, S., Connolly, A. J., Davies, S., Genovese, C., Hopkins, A. M., Miller, C. J., Moore, A. W., Pelleg, D., Richards, G. T., Schneider, J., Szapudi, I., Wasserman, L.   +12 more
openaire   +2 more sources

Astronomy in the Big Data Era

Data Science Journal, 2015
The fields of Astrostatistics and Astroinformatics are vital for dealing with the big data issues now faced by astronomy. Like other disciplines in the big data era, astronomy has many V characteristics.
Yanxia Zhang, Yongheng Zhao
doaj   +1 more source

The Data Big Bang and the Expanding Digital Universe: High‐Dimensional, Complex and Massive Data Sets in an Inflationary Epoch

Advances in Astronomy, Volume 2010, Issue 1, 2010., 2010
Recent and forthcoming advances in instrumentation, and giant new surveys, are creating astronomical data sets that are not amenable to the methods of analysis familiar to astronomers. Traditional methods are often inadequate not merely because of the size in bytes of the data sets, but also because of the complexity of modern data sets.
Meyer Z. Pesenson, Isaac Z. Pesenson, Bruce McCollum, Joshua S. Bloom   +3 more
wiley   +1 more source

Robust joint modelling of sparsely observed paired functional data

Canadian Journal of Statistics, Volume 52, Issue 3, Page 734-754, September 2024.
Abstract A reduced‐rank mixed‐effects model is developed for robust modelling of sparsely observed paired functional data. In this model, the curves for each functional variable are summarized using a few functional principal components, and the association of the two functional variables is modelled through the association of the principal component ...
Huiya Zhou, Xiaomeng Yan, Lan Zhou
wiley   +1 more source

A Geometric Approach to Estimate Background in Astronomical Images

The Astrophysical Journal Supplement Series
Estimating the true background in an astronomical image is fundamental to detecting faint sources. In a typical low-photon-count astronomical image, such as in the far- and near-ultraviolet wavelength ranges, conventional methods relying on 3 σ clipping ...
Pushpak Pandey, Kanak Saha
doaj   +1 more source