Data Management and data analysis in Taiwan

Guo Chin Liu on behave of TGWG Group Members http://taipeigravitationalwavegroup.weebly.com/members.html

‧ Faculty:

C. Chen(TKU), T. Chiu(NTU, NTNU), S. Haino (AS), C. Lin (NCHC), F. Lin (NTNU), G. Liu(TKU)

‧ Post Doc.:

D. Chiou, Y. Inoue, S. Ko

‧ Student:

B. Chen, Y. Chu, W. Hsu, M. Lin, Y. Pu, J. Peng, C. Yang, U. Zaman, Y. Zheng Supported by NCTS 2-year seed group grant Plans for the Group

‧ Short term: Data analysis −21 10 - C. Lin(NCHC), G. Liu(TKU), students(NTNU)

−22 10 - focus on CBC Hz] √

−23 ‧ Long term: physics with gravitational wave 10 Strain [1/

−24 initial Virgo - BBH of Brans-Dicke model (F. Lin, D. 10 initial LIGO Adv LIGO KAGRA (VRSE) Chiou) Adv Virgo LIGO III −25 Einstein Telescope (ET−D)

10 0 1 2 3 10 10 10 10 - Dark stars(C. Chen) Frequency [Hz] Adhikari et al. 2014 - Numerical relativity or PN to generate Waveform

- physics in KAGRA’s sensitive window Mini Summer School http://taipeigravitationalwavegroup.weebly.com/mini-school.html

‧ Date: July 13-15

‧ Invited speakers: H. Tagoshi, L. Baiotti, S. Kuroyanagi, T. Li, Y. Itoh Data Management

‧ Mirror data storage in ASGC

‧ possibility to mirror (Proc.) data from AS to NCHC? Computing Power

‧ NCHC(National Center for High-performance Computing)

- 25 K cores (shared)

- 100kNTD/year for 100 cores

‧ Prototype: two servers (12 cores with 400GB MEM; 4cores with 64GB MEM and two GPUs), one workstation (6 cores, 64GB MEM and K80 GPU)

‧ 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 Singular Value Decomposition/ Principal Component Analysis

‧ decompose the waveform into a set of orthogonal basis vectors.

‧ reduce the computation costs

‧ applied on

- stellar core-collapse wave form(PCA: Heng. 2009)

- CBC templates (SVD: Cannon et al 2010) Model Reduction Techniques

Reduced basis:

‧ construction of a reduced basis catalog(Field. et al 2011, Caudill et al. 2014 )

‧ searching the points in parameter space by greedy sweep algorithm

‧ seek an N dimensional linear space to accurately represent the space for considered sources Welcome to Join Us