Multivariate Monte Carlo Methods for the Reflection Grating Spectrometers onXMM‐Newton | Zendy

J. R. Peterson | Zendy; J. G. Jernigan | Zendy; S. M. Kahn | Zendy

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Multivariate Monte Carlo Methods for the Reflection Grating Spectrometers onXMM‐Newton

Author(s) -

J. R. Peterson,

J. G. Jernigan,

S. M. Kahn

Publication year - 2004

Publication title -

the astrophysical journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.376

H-Index - 489

eISSN - 1538-4357

pISSN - 0004-637X

DOI - 10.1086/424436

Subject(s) - monte carlo method , interpolation (computer graphics) , multivariate statistics , reflection (computer programming) , spectrometer , physics , statistical physics , computational physics , algorithm , optics , computer science , mathematics , statistics , motion (physics) , classical mechanics , programming language , machine learning

We propose a novel multivariate Monte Carlo method as an efficient andflexible approach to analyzing extended X-ray sources with the ReflectionGrating Spectrometer (RGS) on XMM Newton. A multi-dimensional interpolationmethod is used to efficiently calculate the response function for the RGS inconjunction with an arbitrary spatially-varying spectral model. Several methodsof event comparison that effectively compare the multivariate RGS data arediscussed. The use of a multi-dimensional instrument Monte Carlo also createsmany opportunities for the use of complex astrophysical Monte Carlocalculations in diffuse X-ray spectroscopy. The methods presented here could begeneralized to other X-ray instruments as well.Comment: 36 pages, 14 figures, Accepted for publication in Ap

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