Zobrazeno 1 - 4
of 4
pro vyhledávání: '"S. M. Hojnacki"'
Publikováno v:
Statistical Methodology. 5:350-360
A large volume of CCD X-ray spectra is being generated by the Chandra X-ray Observatory (Chandra) and XMM-Newton. Automated spectral analysis and classification methods can aid in sorting, characterizing, and classifying this large volume of CCD X-ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af51ad2e2c7c022bd2578b3ae440ae6b
https://doi.org/10.1016/j.stamet.2008.02.008
https://doi.org/10.1016/j.stamet.2008.02.008
Publikováno v:
The Astrophysical Journal. 659:585-598
A large volume of low signal-to-noise, multidimensional data is available from the CCD imaging spectrometers aboard the Chandra X-Ray Observatory and the X-Ray Multimirror Mission (XMM-Newton). To make progress analyzing this data,itisessentialtodeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d87cf10030144e7e48503855fb82e24
https://doi.org/10.1086/512232
https://doi.org/10.1086/512232
Autor:
S. M. Hojnacki, Joel H. Kastner
Publikováno v:
SPIE Proceedings.
The Chandra X-ray Observatory (CXO) is generating a tremendous amount of multi-dimensional X-ray data of exceptional quality. Currently, astronomers analyze these data one X-ray source at a time, via model-fitting techniques, to determine source phys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f9eda2c41e728c630b76761aaebd83a
https://doi.org/10.1117/12.550967
https://doi.org/10.1117/12.550967