Work

Our Randomized Algorithm paper is finally out on the arXiv

January 2018

Random projections in gravitational wave searches of compact binaries

S Kulkarni, KS Phukon, Amit Reza, Sukanta Bose, Anirban Dasgupta, D Krishnaswamy, Anand Sengupta

https://arxiv.org/abs/1801.04506

(Abridged abstract) Random projection (RP) is a powerful dimension reduction technique widely used in analysis of high dimensional data. We demonstrate how this technique can be used to improve the computational efficiency of gravitational wave searches from compact binaries of neutron stars or black holes. For searches over parameters corresponding to non-spinning binaries with a neutron star and a black hole, a combination of the two methods can reduce the total on-line computational cost by an order of magnitude over a nominal baseline. This can, in turn, help free-up computational resources needed to go beyond current spin-aligned searches to more complex ones involving generically spinning waveforms.

1. Random projections in gravitational wave searches of compact binaries, Sumeet Kulkarni, Khun Sang Phukon, Amit Reza, Sukanta Bose, Anirban Dasgupta, Dilip Krishnaswamy, Anand S. Sengupta, arXiv preprint arXiv:1801.04506
2. Effectual gravitational-wave template banks for coalescing compact binaries using a hybrid placement algorithm, S Roy, AS Sengupta, P Ajith, arXiv preprint arXiv:1711.08743
3. Least square ellipsoid fitting using iterative orthogonal transformations, A Reza, AS Sengupta, Applied Mathematics and Computation 314, 349-359 (2017)
4. Hybrid geometric-random template-placement algorithm for gravitational wave searches from compact binary coalescences, S Roy, AS Sengupta, N Thakor, Physical Review D 95 (10), 104045 (2017)
5. The basic physics of the binary black hole merger GW150914, BP Abbott, et al. Annalen der Physik 529 (1-2) (2017)

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Anand Sengupta