Digital Repository @ IITGN
http://localhost:80
The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material.2017-06-27T21:29:45ZA leptoquark explanation for (g−2)μ, RK, RK⋆ and, IceCube PeV events
http://repository.iitgn.ac.in/handle/123456789/3002
A leptoquark explanation for (g−2)μ, RK, RK⋆ and, IceCube PeV events
Chauhan, Bhavesh; Kindra, Bharti; Narang, Ashish
2017-06-01T00:00:00ZGPGPU acceleration of the KAZE image feature extraction algorithm
http://repository.iitgn.ac.in/handle/123456789/3001
GPGPU acceleration of the KAZE image feature extraction algorithm
B, Ramkumar; Hegde, R. S.; Laber, Rob; Bojinov, Hristo
2017-06-01T00:00:00ZMechanically tunable adsorbent graphene oxide gels
http://repository.iitgn.ac.in/handle/123456789/3000
Mechanically tunable adsorbent graphene oxide gels
Ojha, Abhijeet; Thareja, Prachi
2017-07-12T00:00:00ZHybrid geometric-random template-placement algorithm for gravitational wave searches from compact binary coalescences
http://repository.iitgn.ac.in/handle/123456789/2999
Hybrid geometric-random template-placement algorithm for gravitational wave searches from compact binary coalescences
Roy, Soumen; Sengupta, Anand S.; Thakor, Nilay
Astrophysical compact binary systems consisting of neutron stars and black holes are an important class of gravitational wave (GW) sources for advanced LIGO detectors. Accurate theoretical waveform models from the inspiral, merger, and ringdown phases of such systems are used to filter detector data under the template-based matched-filtering paradigm. An efficient grid over the parameter space at a fixed minimal match has a direct impact on the overall time taken by these searches. We present a new hybrid geometric-random template placement algorithm for signals described by parameters of two masses and one spin magnitude. Such template banks could potentially be used in GW searches from binary neutron stars and neutron star–black hole systems. The template placement is robust and is able to automatically accommodate curvature and boundary effects with no fine-tuning. We also compare these banks against vanilla stochastic template banks and show that while both are equally efficient in the fitting-factor sense, the bank sizes are
∼
25
%
larger in the stochastic method. Further, we show that the generation of the proposed hybrid banks can be sped up by nearly an order of magnitude over the stochastic bank. Generic issues related to optimal implementation are discussed in detail. These improvements are expected to directly reduce the computational cost of gravitational wave searches.
2017-05-01T00:00:00Z