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pro vyhledávání: '"Park, Andy"'
As imaging surveys progress in exploring the large-scale structure of the Universe through the use of weak gravitational lensing, achieving subpercent accuracy in estimating shape distortions caused by lensing, or shear, is imperative for precision c
Externí odkaz:
http://arxiv.org/abs/2411.13648
Robotics programming typically involves a trade-off between the ease of use offered by Python and the run-time performance of C++. While multi-language architectures address this trade-off by coupling Python's ergonomics with C++'s speed, they introd
Externí odkaz:
http://arxiv.org/abs/2406.03677
Recent cosmic shear analyses have exhibited inconsistencies of up to $1\sigma$ between the inferred cosmological parameters when analyzing summary statistics in real space versus harmonic space. In this paper, we demonstrate the consistent measuremen
Externí odkaz:
http://arxiv.org/abs/2404.02190
Upcoming imaging surveys will use weak gravitational lensing to study the large-scale structure of the Universe, demanding sub-percent accuracy for precise cosmic shear measurements. We present a new differentiable implementation of our perturbation-
Externí odkaz:
http://arxiv.org/abs/2309.06506
Autor:
Yamamoto, Masaya, Laliotis, Katherine, Macbeth, Emily, Zhang, Tianqing, Hirata, Christopher M., Troxel, M. A., Cao, Kaili, Choi, Ami, Givans, Jahmour, Heitmann, Katrin, Ishak, Mustapha, Jarvis, Mike, Kovacs, Eve, Long, Heyang, Mandelbaum, Rachel, Park, Andy, Porredon, Anna, Walter, Christopher W., Wood-Vasey, W. Michael
One challenge for applying current weak lensing analysis tools to the Nancy Grace Roman Space Telescope is that individual images will be undersampled. Our companion paper presented an initial application of Imcom - an algorithm that builds an optima
Externí odkaz:
http://arxiv.org/abs/2303.08750
Autor:
Hirata, Christopher M., Yamamoto, Masaya, Laliotis, Katherine, Macbeth, Emily, Troxel, M. A., Zhang, Tianqing, Cao, Kaili, Choi, Ami, Givans, Jahmour, Heitmann, Katrin, Ishak, Mustapha, Jarvis, Mike, Kovacs, Eve, Long, Heyang, Mandelbaum, Rachel, Park, Andy, Porredon, Anna, Walter, Christopher W., Wood-Vasey, W. Michael
The upcoming Nancy Grace Roman Space Telescope will carry out a wide-area survey in the near infrared. A key science objective is the measurement of cosmic structure via weak gravitational lensing. Roman data will be undersampled, which introduces ne
Externí odkaz:
http://arxiv.org/abs/2303.08749
Autor:
Zuntz, Joe, Lanusse, François, Malz, Alex I., Wright, Angus H., Slosar, Anže, Abolfathi, Bela, Alonso, David, Bault, Abby, Bom, Clécio R., Brescia, Massimo, Broussard, Adam, Campagne, Jean-Eric, Cavuoti, Stefano, Cypriano, Eduardo S., Fraga, Bernardo M. O., Gawiser, Eric, Gonzalez, Elizabeth J., Green, Dylan, Hatfield, Peter, Iyer, Kartheik, Kirkby, David, Nicola, Andrina, Nourbakhsh, Erfan, Park, Andy, Teixeira, Gabriel, Heitmann, Katrin, Kovacs, Eve, Mao, Yao-Yuan
This paper presents the results of the Rubin Observatory Dark Energy Science Collaboration (DESC) 3x2pt tomography challenge, which served as a first step toward optimizing the tomographic binning strategy for the main DESC analysis. The task of choo
Externí odkaz:
http://arxiv.org/abs/2108.13418
Autor:
Park, Joon Sung, Choi, Jungyuen, Cao, Longxing, Mohanty, Jyotidarsini, Suzuki, Yoshihisa, Park, Andy, Baker, David, Schlessinger, Joseph, Lee, Sangwon
Publikováno v:
In Cell Reports 25 October 2022 41(4)
In this paper, we focus on the problem of inferring the underlying reward function of an expert given demonstrations, which is often referred to as inverse reinforcement learning (IRL). In particular, we propose a model-free density-based IRL algorit
Externí odkaz:
http://arxiv.org/abs/1608.03694
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