Data Management and data analysis in Taiwan Guo Chin Liu on behave - PowerPoint PPT Presentation

Data Management and data analysis in Taiwan Guo Chin Liu on behave of TGWG

Group Members C. Chen(TKU), T. Chiu(NTU, NTNU), S. Haino (AS), C. Lin (NCHC), F. Lin (NTNU), G. Liu(TKU) D. Chiou, Y. Inoue, S. Ko B. Chen, Y. Chu, W. Hsu, M. Lin, Y. Pu, J. Peng, C. Yang, U. Zaman, Y. Zheng http://taipeigravitationalwavegroup.weebly.com/members.html Supported by NCTS 2-year seed group grant ‧ Faculty: ‧ Post Doc.: ‧ Student:

Plans for the Group Chiou) Waveform Adhikari et al. 2014 ‧ Short term: Data analysis − 21 10 - C. Lin(NCHC), G. Liu(TKU), students(NTNU) − 22 10 Strain [1/ √ Hz] - focus on CBC − 23 10 ‧ Long term: physics with gravitational wave − 24 10 initial Virgo - BBH of Brans-Dicke model (F. Lin, D. initial LIGO Adv LIGO KAGRA (VRSE) Adv Virgo LIGO III − 25 Einstein Telescope (ET − D) 10 0 1 2 3 10 10 10 10 Frequency [Hz] - Dark stars(C. Chen) - Numerical relativity or PN to generate - physics in KAGRA’s sensitive window

Mini Summer School Kuroyanagi, T. Li, Y. Itoh http://taipeigravitationalwavegroup.weebly.com/mini-school.html ‧ Date: July 13-15 ‧ Invited speakers: H. Tagoshi, L. Baiotti, S.

Data Management NCHC? ‧ Mirror data storage in ASGC ‧ possibility to mirror (Proc.) data from AS to

Computing Power Computing) 4cores with 64GB MEM and two GPUs), one workstation (6 cores, 64GB MEM and K80 GPU) ‧ NCHC(National Center for High-performance - 25 K cores (shared) - 100kNTD/year for 100 cores ‧ Prototype: two servers (12 cores with 400GB MEM; ‧ Production: server with 400 cores and 200 GPUs

Pipeline Construction based on matched filtering, with tools provided by Kagali or LALsuite ‧ MCMC: C. Lin ‧ Construct waveform catalogs: G. Liu + NTNU - GPU, model reduction technique

GPU(graphics processing unit ) ‧ FFTW, LAPACK included in CUDA ‧ experience: gomoku game (Hance and Guozhang) ‧ set up a training schedule in near future

Model Reduction Techniques vectors. Singular Value Decomposition/ Principal Component Analysis ‧ decompose the waveform into a set of orthogonal basis ‧ reduce the computation costs ‧ applied on - stellar core-collapse wave form(PCA: Heng. 2009) - CBC templates (SVD: Cannon et al 2010)

Model Reduction Techniques al 2011, Caudill et al. 2014 ) greedy sweep algorithm represent the space for considered sources Reduced basis: ‧ construction of a reduced basis catalog(Field. et ‧ searching the points in parameter space by ‧ seek an N dimensional linear space to accurately

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