Zobrazeno 1 - 10
of 275
pro vyhledávání: '"Budavári, Tamás"'
Cosmic demographics -- the statistical study of populations of astrophysical objects -- has long relied on *multivariate statistics*, providing methods for analyzing data comprising fixed-length vectors of properties of objects, as might be compiled
Externí odkaz:
http://arxiv.org/abs/2408.14466
Autor:
Dobos, László, Szalay, Alexander S., Budavári, Tamás, Kirby, Evan N., Lupton, Robert H., Wyse, Rosemary F. G.
Massively multiplexed spectrographs will soon gather large statistical samples of stellar spectra. The accurate estimation of uncertainties on derived parameters, such as line-of-sight velocity $v_\mathrm{los}$, especially for spectra with low signal
Externí odkaz:
http://arxiv.org/abs/2407.14943
Survey-based measurements of the spectral energy distributions (SEDs) of galaxies have flux density estimates on badly misaligned grids in rest-frame wavelength. The shift to rest frame wavelength also causes estimated SEDs to have differing support.
Externí odkaz:
http://arxiv.org/abs/2310.19340
We present a computationally efficient expectation-maximization framework for multi-frame image deconvolution and super-resolution. Our method is well adapted for processing large scale imaging data from modern astronomical surveys. Our Tensorflow im
Externí odkaz:
http://arxiv.org/abs/2302.05804
Recovering sharper images from blurred observations, referred to as deconvolution, is an ill-posed problem where classical approaches often produce unsatisfactory results. In ground-based astronomy, combining multiple exposures to achieve images with
Externí odkaz:
http://arxiv.org/abs/2302.02030
Publikováno v:
The Astronomical Journal, Volume 163, Number 6, 2022
Building on previous Bayesian approaches, we introduce a novel formulation of probabilistic cross-identification, where detections are directly associated to (hypothesized) astronomical objects in a globally optimal way. We show that this new method
Externí odkaz:
http://arxiv.org/abs/2207.11125
Autor:
Szalai-Gindl, János M., Loredo, Thomas J., Kelly, Brandon C., Csabai, István, Budavári, Tamás, Dobos, László
Publikováno v:
Abridged version published as "GPU-accelerated hierarchical Bayesian estimation of luminosity functions using flux-limited observations with photometric noise" in Astronomy & Computing (2018)
We describe a computational framework for hierarchical Bayesian inference with simple (typically single-plate) parametric graphical models that uses graphics processing units (GPUs) to accelerate computations, enabling deployment on very large datase
Externí odkaz:
http://arxiv.org/abs/2105.08026
Autor:
Aggarwal, Kshitij, Budavári, Tamás, Deller, Adam T., Eftekhari, Tarraneh, James, Clancy W., Prochaska, J. Xavier, Tendulkar, Shriharsh P.
We introduce a new method to estimate the probability that an extragalactic transient source is associated with a candidate host galaxy. This approach relies solely on simple observables: sky coordinates and their uncertainties, galaxy fluxes and ang
Externí odkaz:
http://arxiv.org/abs/2102.10627
Autor:
Fang, Jianing, Hu, Chuheng, Smaoui, Nour, Carlson, Doug, Gupchup, Jayant, Musaloiu-E., Razvan, Liang, Chieh-Jan Mike, Chang, Marcus, Gnawali, Omprakash, Budavari, Tamas, Terzis, Andreas, Szlavecz, Katalin, Szalay, Alexander S.
We discuss the history and lessons learned from a series of deployments of environmental sensors measuring soil parameters and CO2 fluxes over the last fifteen years, in an outdoor environment. We present the hardware and software architecture of our
Externí odkaz:
http://arxiv.org/abs/2102.10260
Cross-matching catalogues from radio surveys to catalogues of sources at other wavelengths is extremely hard, because radio sources are often extended, often consist of several spatially separated components, and often no radio component is coinciden
Externí odkaz:
http://arxiv.org/abs/2008.05276