GalSim: The modular galaxy image simulation toolkit

By B. Rowe, Michael J. Jarvis, Rachel Mandelbaum, G. Bernstein, James F. Bosch, M. Simet, J. Meyers, Tomasz Kacprzak, R. Nakajima, Joe Zuntz and 5 more. Astronomy and Computing, 2014

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GALSIM is a collaborative, open-source project aimed at providing an image simulation tool of enduring benefit to the astronomi cal community. It provides a software library for generating images of astronomical objects such as stars and galaxies in a variety of ways, efficiently handling image transformations and opera tions such as convolution and rendering at high precision. We describe the GALSIM software and its capabilities, including necessary theore tical background. We demonstrate that the performance of GALSIM meets the stringent requirements of high precision image analysis applications such as weak gravitational lensing, fo r current datasets and for the Stage IV dark energy surveys of the Large Synoptic Survey Telescope, ESA’s Euclid mission, and NASA’s WFIRST-AFTAmission. The GALSIM project repository is public and includes the full code hist ory, all open and closed issues, installation instructions, documentation, and wi ki pages (including a Frequently Asked Questions section). The GALSIM repository can be found at https://github.com/GalSim-developers/GalSim.

Subfields: Astronomy and Astrophysics, Electrical and Electronic Engineering, Instrumentation

View Paper: https://www.semanticscholar.org/paper/4d24ae4f4996f501c5237a0ea69af44ae70f69f2

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Citations in the corpus

Dark Energy Survey Year 1 results: weak lensing mass calibration of redMaPPer galaxy clusters (2018, methodology): “To quantify the effectiveness of this selfcalibration, Zuntz et al. (2018) ran the METACALIBRATION pipeline on a set of simulated galaxy images using GALSIM (Rowe et al. 2015).”
KiDS-450: cosmological parameter constraints from tomographic weak gravitational lensing (2016, methodology): “We use the publicly available GALSIM software (Rowe et al. 2015) to simulate 416 deg2 of data, containing approximately 54 million galaxies, of which 16 million have a non-vanishing lensFIT weight.”
ABC–CDE: Toward Approximate Bayesian Computation With Complex High-Dimensional Data and Limited Simulations (2018, methodology): “tween binned shear 48 correlation functions as our summary statistic. We use the lenstools package (Petri,2016) to generate power spectra given parameter realizations. We then use the GalSim toolkit (Rowe et al., 2015) to generate simplied galaxy shears distributed according to a Gaussian random eld”
Dark Energy Survey Year 1 results: weak lensing shape catalogues (2017, methodology): “The catalogue of ∼73 000 objects has been ‘whitened’ (correlated noise removal; see Rowe et al. 2015), and is a deeper superset of the galaxies used in the GREAT3 challenge.2 It extends significantly beyond the Y1 detection limit of Mr,lim = 23.4 (Drlica-Wagner et al. 2018), reaching ∼25.2 mag in…”
The Canadian Cluster Comparison Project: detailed study of systematics and updated weak lensing masses (2015, methodology): “We limit the sample to objects with 0.5 n 4.2 because of limitations of the version of GALSIM we used.”
The first-year shear catalog of the Subaru Hyper Suprime-Cam Subaru Strategic Program Survey (2017, methodology): “SynPipe uses GalSim (Rowe et al. 2015) v1.”
The DES Science Verification weak lensing shear catalogues (2015, methodology): “With GALSIM we applied the Jacobian of the WCS to the surface brightness profile as well, so this important detail was handled correctly.”
Gravitational lensing analysis of the Kilo-Degree Survey (2015, methodology): “A new suite of KiDS image simulations are in production using the GALSIM software (Rowe et al. 2015), in preparation for future analyses in which the larger area surveyed will demand a more accurate calibration scheme.”
Great Optically Luminous Dropout Research Using Subaru HSC (GOLDRUSH). I. UV Luminosity Functions at $z \sim 4-7$ Derived with the Half-Million Dropouts on the 100 deg$^2$ Sky (2017, neutral): “4 (Rowe et al. 2015) and the HSC pipeline.”
The Hyper Suprime-Cam Software Pipeline (2017, methodology): “SdssShape is a reimplementation of the algorithm used in the SDSS Photo Pipeline (Lupton et al. 2001), while the HsmMoments algorithm is simply a thin wrapper around the HSM (Hirata & Seljak 2003) implementation in GalSim (Rowe et al. 2015).”
(f)RFCDE: Random Forests for Conditional Density Estimation and Functional Data (2019, methodology): “In Figure 2 we see thatRFCDE can capture this curved ridge structure well which leads to better parameter constraints; in the example we used the GalSim toolkit [Rowe et al., 2015] to simulate shear correlation functions under different parameter settings.”
KiDS+VIKING-450: Cosmic shear tomography with optical and infrared data (2018, methodology): “The images are rendered using the publicly available GalSim software (Rowe et al. 2015).”
Weak Lensing Measurement of the Mass--Richness Relation of SDSS redMaPPer Clusters (2016, methodology): “1 An updated version of the software that was used to produce this catalogue is publicly available as part of the GalSim package (Rowe et al. 2015): https://github.com/GalSim-developers/ GalSim.”
Practical Weak-lensing Shear Measurement with Metacalibration (2017, methodology): “We drew the r50 and flux from fits (Lackner & Gunn 2012) to the 25.2 magnitude limited sample from the COSMOS data (Scoville et al. 2007a,b), as distributed with the GALSIM simulation package (Rowe et al. 2015).”