Zobrazeno 1 - 10
of 271
pro vyhledávání: '"van Dyk, David"'
Autor:
Moretti, Chiara, Autenrieth, Maximilian, Serra, Riccardo, Trotta, Roberto, van Dyk, David A., Mesinger, Andrei
A precise measurement of photometric redshifts (photo-z) is key for the success of modern photometric galaxy surveys. Machine learning (ML) methods show great promise in this context, but suffer from covariate shift (CS) in training sets due to selec
Externí odkaz:
http://arxiv.org/abs/2409.20379
We present a new analytical method to derive the likelihood function that has the population of parameters marginalised out in Bayesian hierarchical models. This method is also useful to find the marginal likelihoods in Bayesian models or in random-e
Externí odkaz:
http://arxiv.org/abs/2409.11167
Autor:
Tak, Hyungsuk, Chen, Yang, Kashyap, Vinay L., Mandel, Kaisey S., Meng, Xiao-Li, Siemiginowska, Aneta, van Dyk, David A.
The production of complex astronomical data is accelerating, especially with newer telescopes producing ever more large-scale surveys. The increased quantity, complexity, and variety of astronomical data demand a parallel increase in skill and sophis
Externí odkaz:
http://arxiv.org/abs/2408.16179
We present a new method to distinguish between different states (e.g., high and low, quiescent and flaring) in astronomical sources with count data. The method models the underlying physical process as latent variables following a continuous-space Ma
Externí odkaz:
http://arxiv.org/abs/2405.06540
Autor:
Yu, Xixi, Kashyap, Vinay L., Del Zanna, Giulio, van Dyk, David A., Stenning, David C., Ballance, Connor P., Warren, Harry P.
We estimate the coronal density of Capella using the O VII and Fe XVII line systems in the soft X-ray regime that have been observed over the course of the Chandra mission. Our analysis combines measures of error due to uncertainty in the underlying
Externí odkaz:
http://arxiv.org/abs/2404.10427
We present a new method for joint likelihood deconvolution (Jolideco) of a set of astronomical observations of the same sky region in the presence of Poisson noise. The observations may be obtained from different instruments with different resolution
Externí odkaz:
http://arxiv.org/abs/2403.13933
Autor:
Autenrieth, Maximilian, Wright, Angus H., Trotta, Roberto, van Dyk, David A., Stenning, David C., Joachimi, Benjamin
Discrepancies between cosmological parameter estimates from cosmic shear surveys and from recent Planck cosmic microwave background measurements challenge the ability of the highly successful $\Lambda$CDM model to describe the nature of the Universe.
Externí odkaz:
http://arxiv.org/abs/2401.04687
Autor:
van Dyk, David, Lyons, Louis
We describe two different approaches for incorporating systematics into analyses for parameter determination in the physical sciences. We refer to these as the Pragmatic and the Full methods, with the latter coming in two variants: Full Likelihood an
Externí odkaz:
http://arxiv.org/abs/2306.05271
Autor:
Fan, Minjie, Wang, Jue, Kashyap, Vinay L., Lee, Thomas C. M., van Dyk, David A., Zezas, Andreas
Data from high-energy observations are usually obtained as lists of photon events. A common analysis task for such data is to identify whether diffuse emission exists, and to estimate its surface brightness, even in the presence of point sources that
Externí odkaz:
http://arxiv.org/abs/2208.07427
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. We propose TD-CARMA, a Bayesian method to estimate cos
Externí odkaz:
http://arxiv.org/abs/2207.09327