Tag Archives: Monte Carlo

Understanding and reducing statistical uncertainties in nebular abundance determinations

R. Wesson (1,2), D. J. Stock (1,3) & P. Scicluna (1,4) ((1) University College London, Gower Street, London, UK; (2) European Southern Observatory, Santiago, Chile; (3) University of Western Ontario, Ontario, Canada; (4) European Southern Observatory, Garching, Germany) Whenever observations … Continue reading

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Monte Carlo Markov Chain DEM reconstruction of isothermal plasmas

E. Landi (1), F. Reale (2,3), and P. Testa (4) ((1) Department of Atmospheric, Oceanic and Space Sciences, University of Michigan,  MI, USA; (2) Dipartimento di Scienze Fisiche ed Astronomiche, Universita’ di Palermo, Palermo, Italy; (3) INAF-Osservatorio Astronomico di Palermo,  … Continue reading

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NEAT (Nebular Empirical Analysis Tool): robust uncertainties on nebular abundance estimates

R. Wesson (1), D. Stock (1,2), P. Scicluna (1) (1) Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, United Kingdom. (2) Department of Physics and Astronomy, University of Western Ontario, London, Ontario N6A 3K7, Canada. … Continue reading

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