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most citedDancing in the dark: galactic properties trace spin swings along the cosmic web

888 citations · 3.2k across the 31 of their papers we have counts for

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astro-ph.IM2024★ 114 cited

Euclid. III. The NISP Instrument

Euclid Collaboration, K. Jahnke, W. Gillard +434

The Near-Infrared Spectrometer and Photometer (NISP) on board the Euclid satellite provides multiband photometry and R>=450 slitless grism spectroscopy in the 950-2020nm wavelength…

astro-ph.IM2022★ 4 cited

FIREBall-2: flight preparation of a proven balloon payload to image the intermediate redshift circumgalactic medium

Vincent Picouet, David Valls-Gabaud, Bruno Milliard +19

FIREBall-2 is a stratospheric balloon-borne 1-m telescope coupled to a UV multi-object slit spectrograph designed to map the faint UV emission surrounding z~0.7 galaxies and quasar…

astro-ph.IM2021

End-to-end ground calibration and in-flight performance of the FIREBall-2 instrument

Vincent Picouet, Bruno Milliard, Gillian Kyne +18

The payload of the Faint Intergalactic Redshifted Emission Balloon (FIREBall-2), the second generation of the FIREBall instrument (PI: C. Martin, Caltech), has been calibrated and…

astro-ph.IM2020★ 15 cited

FIREBall-2: The Faint Intergalactic Medium Redshifted Emission Balloon Telescope

Erika Hamden, D. Christopher Martin, Bruno Milliard +31

The Faint Intergalactic Medium Redshifted Emission Balloon (FIREBall) is a mission designed to observe faint emission from the circumgalactic medium of moderate redshift (z~0.7) ga…

astro-ph.IM2019

FIREBall-2: advancing TRL while doing proof-of-concept astrophysics on a suborbital platform

Erika T. Hamden, Keri Hoadley, D. Christopher Martin +32

Here we discuss advances in UV technology over the last decade, with an emphasis on photon counting, low noise, high efficiency detectors in sub-orbital programs. We focus on the u…

astro-ph.IM2017★ 6 cited

Automated reliability assessment for spectroscopic redshift measurements

S. Jamal, V. Le Brun, O. Le Fèvre +7

We present a new approach to automate the spectroscopic redshift reliability assessment based on machine learning (ML) and characteristics of the redshift probability density funct…