Monthly Notices of the Royal Astronomical Society · 2024 · 15 citations · 139 references
Natural SciencesAstronomyPhysicsAstrophysicsExtragalactic AstronomyObservational AstronomyDark MatterGravitational LensingDark Matter HalosDark Matter MappingDwarf Irregular GalaxiesFilter DesignLarge-scale Galaxy SurveysPhotometric Survey DesignSignal-to-noise AssessmentWeak Gravitational Lensing Surveys
ABSTRACT The Merian survey is mapping ∼ 850 deg2 of the Hyper Suprime-Cam Strategic Survey Program (HSC-SSP) wide layer with two medium-band filters on the 4-m Victor M. Blanco telescope at the Cerro Tololo Inter-American Observatory, with the goal of carrying the first high signal-to-noise (S/N) measurements of weak gravitational lensing around dwarf galaxies. This paper presents the design of the Merian filter set: N708 (λc = 7080 Å, Δλ = 275 Å) and N540 (λc = 5400 Å, Δλ = 210 Å). The central wavelengths and filter widths of N708 and N540 were designed to detect the $\rm H\alpha$ and $\rm [OIII]$ emission lines of galaxies in the mass range $8\lt \rm \log M_*/M_\odot \lt 9$ by comparing Merian fluxes with HSC broad-band fluxes. Our filter design takes into account the weak lensing S/N and photometric redshift performance. Our simulations predict that Merian will yield a sample of ∼ 85 000 star-forming dwarf galaxies with a photometric redshift accuracy of σΔz/(1 + z) ∼ 0.01 and an outlier fraction of $\eta =2.8~{{\ \rm per\ cent}}$ over the redshift range 0.058 < z < 0.10. With 60 full nights on the Blanco/Dark Energy Camera (DECam), the Merian survey is predicted to measure the average weak lensing profile around dwarf galaxies with lensing S/N ∼32 within r < 0.5 Mpc and lensing S/N ∼90 within r < 1.0 Mpc. This unprecedented sample of star-forming dwarf galaxies will allow for studies of the interplay between dark matter and stellar feedback and their roles in the evolution of dwarf galaxies.
139
Matplotlib: A 2D Graphics Environment
John D. Hunter · Computing in Science & Engineering · 2007 · 39.6K citations
SciPy 1.0: fundamental algorithms for scientific computing in Python
Nature Methods · 2020 · 37.9K citations · Full text
Astropy: A community Python package for astronomy
Thomas Robitaille, Erik Tollerud, P. Greenfield et al. · Astronomy and Astrophysics · 2013 · 14.5K citations · Full text
Natural Sciences, Astronomy, Physics +13
SExtractor: Software for source extraction
E. Bertin, S. Arnouts · Astronomy and Astrophysics Supplement Series · 1996 · 11K citations · Full text