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Elise Jennings
Elise Jennings
IBM Research
Verified email at ibm.com
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Cited by
Cited by
Year
The DESI experiment part I: science, targeting, and survey design
A Aghamousa, J Aguilar, S Ahlen, S Alam, LE Allen, CA Prieto, J Annis, ...
arXiv preprint arXiv:1611.00036, 2016
5372016
CosmoSIS: Modular cosmological parameter estimation
J Zuntz, M Paterno, E Jennings, D Rudd, A Manzotti, S Dodelson, S Bridle, ...
Astronomy and Computing 12, 45-59, 2015
4152015
The abundance of voids and the excursion set formalism
E Jennings, Y Li, W Hu
Monthly Notices of the Royal Astronomical Society 434 (3), 2167-2181, 2013
1572013
The non-linear matter and velocity power spectra in f(R) gravity
B Li, WA Hellwing, K Koyama, GB Zhao, E Jennings, CM Baugh
Monthly Notices of the Royal Astronomical Society 428 (1), 743-755, 2013
1562013
Modelling redshift space distortions in hierarchical cosmologies
E Jennings, CM Baugh, S Pascoli
Monthly Notices of the Royal Astronomical Society 410 (3), 2081-2094, 2011
1542011
Forward modeling of large-scale structure: An open-source approach with Halotools
AP Hearin, D Campbell, E Tollerud, P Behroozi, B Diemer, NJ Goldbaum, ...
The Astronomical Journal 154 (5), 190, 2017
1442017
Redshift-space distortions in f(R) gravity
E Jennings, CM Baugh, B Li, GB Zhao, K Koyama
Monthly Notices of the Royal Astronomical Society 425 (3), 2128-2143, 2012
1402012
Biased tracers in redshift space in the EFT of large-scale structure
A Perko, L Senatore, E Jennings, RH Wechsler
arXiv preprint arXiv:1610.09321, 2016
1142016
The DESI experiment part I: science, targeting, and survey design
D Collaboration, A Aghamousa, J Aguilar, S Ahlen, S Alam, L Allen, ...
1022016
Enabling real-time multi-messenger astrophysics discoveries with deep learning
EA Huerta, G Allen, I Andreoni, JM Antelis, E Bachelet, GB Berriman, ...
Nature Reviews Physics 1 (10), 600-608, 2019
802019
The DESI experiment part II: instrument design
A Aghamousa, J Aguilar, S Ahlen, S Alam, LE Allen, CA Prieto, J Annis, ...
arXiv preprint arXiv:1611.00037, 2016
782016
astroABC: an approximate Bayesian computation sequential Monte Carlo sampler for cosmological parameter estimation
E Jennings, M Madigan
Astronomy and computing 19, 16-22, 2017
752017
A turbulent eddy-viscosity surrogate modeling framework for Reynolds-averaged Navier-Stokes simulations
R Maulik, H Sharma, S Patel, B Lusch, E Jennings
Computers & Fluids 227, 104777, 2021
742021
Galaxy infall kinematics as a test of modified gravity
Y Zu, DH Weinberg, E Jennings, B Li, M Wyman
Monthly Notices of the Royal Astronomical Society 445 (2), 1885-1897, 2014
742014
Deep learning at scale for the construction of galaxy catalogs in the Dark Energy Survey
A Khan, EA Huerta, S Wang, R Gruendl, E Jennings, H Zheng
Physics Letters B 795, 248-258, 2019
582019
Bayesian strategies for uncertainty quantification of the thermodynamic properties of materials
NH Paulson, E Jennings, M Stan
International Journal of Engineering Science 142, 74-93, 2019
492019
Testing gravity using the growth of large scale structure in the Universe
E Jennings, E Jennings
Simulations of Dark Energy Cosmologies, 83-96, 2012
492012
Simulations of quintessential cold dark matter: beyond the cosmological constant
E Jennings, CM Baugh, RE Angulo, S Pascoli
Monthly Notices of the Royal Astronomical Society 401 (4), 2181-2201, 2010
482010
Galaxy cluster lensing masses in modified lensing potentials
A Barreira, B Li, E Jennings, J Merten, L King, CM Baugh, S Pascoli
Monthly Notices of the Royal Astronomical Society 454 (4), 4085-4102, 2015
472015
An improved model for the non-linear velocity power spectrum
E Jennings
Monthly Notices of the Royal Astronomical Society: Letters 427 (1), L25-L29, 2012
442012
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