Improved Linear Algebra Methods for Redshift Computation from Limited Spectrum Data - II

التفاصيل البيبلوغرافية
العنوان: Improved Linear Algebra Methods for Redshift Computation from Limited Spectrum Data - II
المؤلفون: Srivastava, Ashok, Rinsky, Joel, Satyavolu, Chandrika, Foster, Leslie, Waagen, Alex, Aijaz, Nabella, Luis, Apolo, Gazis, Paul, Hurley, Michael, Way, Michael
المصدر: CASI
سنة النشر: 2008
المجموعة: NASA Technical Reports Server (NTRS)
مصطلحات موضوعية: Man/System Technology and Life Support
جغرافية الموضوع: Unclassified, Unlimited, Publicly available
الوصف: Given photometric broadband measurements of a galaxy, Gaussian processes may be used with a training set to solve the regression problem of approximating the redshift of this galaxy. However, in practice solving the traditional Gaussian processes equation is too slow and requires too much memory. We employed several methods to avoid this difficulty using algebraic manipulation and low-rank approximation, and were able to quickly approximate the redshifts in our testing data within 17 percent of the known true values using limited computational resources. The accuracy of one method, the V Formulation, is comparable to the accuracy of the best methods currently used for this problem.
نوع الوثيقة: other/unknown material
وصف الملف: application/pdf
اللغة: unknown
ردمك: 978-2-00-800088-6
2-00-800088-5
العلاقة: Document ID: 20080008853; http://hdl.handle.net/2060/20080008853Test
الإتاحة: http://hdl.handle.net/2060/20080008853Test
حقوق: Copyright, Distribution as joint owner in the copyright
رقم الانضمام: edsbas.516696F8
قاعدة البيانات: BASE