Report on the second Mock LISA data challenge

S. Babak; J.G. Baker; M.J. Benacquista; N.J. Cornish; J. Crowder; C. Cutler; S.L. Larson; T.B. Littenberg; E.K. Porter; M. Vallisneri; A. Vecchio; G. Auger; L. Barack; A. Blaut; E. Bloomer; D.A. Brown; N. Christensen; J. Clark; S. Fairhurst; J.R. Gair; H. Halloin; M. Hendry; A. Jimenez; A. Krolak; I. Mandel; C. Messenger; R. Meyer; S. Mohanty; R. Nayak; A. Petiteau; M. Pitkin; E. Plagno; R. Prix; E.L. Robinson; C. Roever; P. Savov; A. Stroeer; J. Toher; J. Veitch; J.Y. Vinet; Linqing Wen; J.T. Whelan; G. Woan

doi:10.1088/0264-9381/25/11/114037

Report on the second Mock LISA data challenge

S. Babak, J.G. Baker, M.J. Benacquista, N.J. Cornish, J. Crowder, C. Cutler, S.L. Larson, T.B. Littenberg, E.K. Porter, M. Vallisneri, A. Vecchio, G. Auger, L. Barack, A. Blaut, E. Bloomer, D.A. Brown, N. Christensen, J. Clark, S. Fairhurst, J.R. GairH. Halloin, M. Hendry, A. Jimenez, A. Krolak, I. Mandel, C. Messenger, R. Meyer, S. Mohanty, R. Nayak, A. Petiteau, M. Pitkin, E. Plagno, R. Prix, E.L. Robinson, C. Roever, P. Savov, A. Stroeer, J. Toher, J. Veitch, J.Y. Vinet, Linqing Wen, J.T. Whelan, G. Woan

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Abstract

The Mock LISA data challenges are a program to demonstrate LISA data-analysis capabilities and to encourage their development. Each round of challenges consists of several data sets containing simulated instrument noise and gravitational waves from sources of undisclosed parameters. Participants are asked to analyze the data sets and report the maximum information about the source parameters. The challenges are being released in rounds of increasing complexity and realism: here we present the results of Challenge 2, issued in Jan 2007, which successfully demonstrated the recovery of signals from nonspinning supermassive-black-hole binaries with optimal SNRs between ~10 and 2000, from ~20 000 overlapping galactic white-dwarf binaries (among a realistically distributed population of 26 million), and from the extreme-mass-ratio inspirals of compact objects into central galactic black holes with optimal SNRs ~100.

Original language	English
Pages (from-to)	online - approx 5-20pp
Journal	Classical and Quantum Gravity
Volume	25
Issue number	11
DOIs	https://doi.org/10.1088/0264-9381/25/11/114037
Publication status	Published - 2008

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Babak, S., Baker, J. G., Benacquista, M. J., Cornish, N. J., Crowder, J., Cutler, C., Larson, S. L., Littenberg, T. B., Porter, E. K., Vallisneri, M., Vecchio, A., Auger, G., Barack, L., Blaut, A., Bloomer, E., Brown, D. A., Christensen, N., Clark, J., Fairhurst, S., ... Woan, G. (2008). Report on the second Mock LISA data challenge. Classical and Quantum Gravity, 25(11), online - approx 5-20pp. https://doi.org/10.1088/0264-9381/25/11/114037

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abstract = "The Mock LISA data challenges are a program to demonstrate LISA data-analysis capabilities and to encourage their development. Each round of challenges consists of several data sets containing simulated instrument noise and gravitational waves from sources of undisclosed parameters. Participants are asked to analyze the data sets and report the maximum information about the source parameters. The challenges are being released in rounds of increasing complexity and realism: here we present the results of Challenge 2, issued in Jan 2007, which successfully demonstrated the recovery of signals from nonspinning supermassive-black-hole binaries with optimal SNRs between ~10 and 2000, from ~20 000 overlapping galactic white-dwarf binaries (among a realistically distributed population of 26 million), and from the extreme-mass-ratio inspirals of compact objects into central galactic black holes with optimal SNRs ~100.",

author = "S. Babak and J.G. Baker and M.J. Benacquista and N.J. Cornish and J. Crowder and C. Cutler and S.L. Larson and T.B. Littenberg and E.K. Porter and M. Vallisneri and A. Vecchio and G. Auger and L. Barack and A. Blaut and E. Bloomer and D.A. Brown and N. Christensen and J. Clark and S. Fairhurst and J.R. Gair and H. Halloin and M. Hendry and A. Jimenez and A. Krolak and I. Mandel and C. Messenger and R. Meyer and S. Mohanty and R. Nayak and A. Petiteau and M. Pitkin and E. Plagno and R. Prix and E.L. Robinson and C. Roever and P. Savov and A. Stroeer and J. Toher and J. Veitch and J.Y. Vinet and Linqing Wen and J.T. Whelan and G. Woan",

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doi = "10.1088/0264-9381/25/11/114037",

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pages = "online -- approx 5--20pp",

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Babak, S, Baker, JG, Benacquista, MJ, Cornish, NJ, Crowder, J, Cutler, C, Larson, SL, Littenberg, TB, Porter, EK, Vallisneri, M, Vecchio, A, Auger, G, Barack, L, Blaut, A, Bloomer, E, Brown, DA, Christensen, N, Clark, J, Fairhurst, S, Gair, JR, Halloin, H, Hendry, M, Jimenez, A, Krolak, A, Mandel, I, Messenger, C, Meyer, R, Mohanty, S, Nayak, R, Petiteau, A, Pitkin, M, Plagno, E, Prix, R, Robinson, EL, Roever, C, Savov, P, Stroeer, A, Toher, J, Veitch, J, Vinet, JY, Wen, L, Whelan, JT & Woan, G 2008, 'Report on the second Mock LISA data challenge', Classical and Quantum Gravity, vol. 25, no. 11, pp. online - approx 5-20pp. https://doi.org/10.1088/0264-9381/25/11/114037

TY - JOUR

T1 - Report on the second Mock LISA data challenge

AU - Babak, S.

AU - Baker, J.G.

AU - Benacquista, M.J.

AU - Cornish, N.J.

AU - Crowder, J.

AU - Cutler, C.

AU - Larson, S.L.

AU - Littenberg, T.B.

AU - Porter, E.K.

AU - Vallisneri, M.

AU - Vecchio, A.

AU - Auger, G.

AU - Barack, L.

AU - Blaut, A.

AU - Bloomer, E.

AU - Brown, D.A.

AU - Christensen, N.

AU - Clark, J.

AU - Fairhurst, S.

AU - Gair, J.R.

AU - Halloin, H.

AU - Hendry, M.

AU - Jimenez, A.

AU - Krolak, A.

AU - Mandel, I.

AU - Messenger, C.

AU - Meyer, R.

AU - Mohanty, S.

AU - Nayak, R.

AU - Petiteau, A.

AU - Pitkin, M.

AU - Plagno, E.

AU - Prix, R.

AU - Robinson, E.L.

AU - Roever, C.

AU - Savov, P.

AU - Stroeer, A.

AU - Toher, J.

AU - Veitch, J.

AU - Vinet, J.Y.

AU - Wen, Linqing

AU - Whelan, J.T.

AU - Woan, G.

PY - 2008

Y1 - 2008

N2 - The Mock LISA data challenges are a program to demonstrate LISA data-analysis capabilities and to encourage their development. Each round of challenges consists of several data sets containing simulated instrument noise and gravitational waves from sources of undisclosed parameters. Participants are asked to analyze the data sets and report the maximum information about the source parameters. The challenges are being released in rounds of increasing complexity and realism: here we present the results of Challenge 2, issued in Jan 2007, which successfully demonstrated the recovery of signals from nonspinning supermassive-black-hole binaries with optimal SNRs between ~10 and 2000, from ~20 000 overlapping galactic white-dwarf binaries (among a realistically distributed population of 26 million), and from the extreme-mass-ratio inspirals of compact objects into central galactic black holes with optimal SNRs ~100.

AB - The Mock LISA data challenges are a program to demonstrate LISA data-analysis capabilities and to encourage their development. Each round of challenges consists of several data sets containing simulated instrument noise and gravitational waves from sources of undisclosed parameters. Participants are asked to analyze the data sets and report the maximum information about the source parameters. The challenges are being released in rounds of increasing complexity and realism: here we present the results of Challenge 2, issued in Jan 2007, which successfully demonstrated the recovery of signals from nonspinning supermassive-black-hole binaries with optimal SNRs between ~10 and 2000, from ~20 000 overlapping galactic white-dwarf binaries (among a realistically distributed population of 26 million), and from the extreme-mass-ratio inspirals of compact objects into central galactic black holes with optimal SNRs ~100.

U2 - 10.1088/0264-9381/25/11/114037

DO - 10.1088/0264-9381/25/11/114037

M3 - Article

SN - 0264-9381

VL - 25

SP - online - approx 5-20pp

JO - Classical and Quantum Gravity

JF - Classical and Quantum Gravity

IS - 11

ER -

Report on the second Mock LISA data challenge

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