alphaFeedback
astro-ph.COastro-ph.GAastro-ph.IMastro-ph.EPastro-ph.SRastro-ph.HEphysics.data-anstat.COstat.ML

On Valency

published · living versions
W_37jcc2s9·v1 · currentpublished

Preprints & journals

51 papers in the corpus · 2010–2026
The EBLM Project XVIII. 3D Obliquities of Five Low-Mass Eclipsing Binaries2511.23430v2 · Becca Spejcher, David V. Martin, Jake Pandina et al.2025 · 1 citationMon Not R Astron Soc (2026)
The EBLM project XVI. Moderate spin-orbit misalignment of the low mass eclipsing binary EBLM J0021-162509.21517v3 · Becca Spejcher, David V. Martin, Jake Pandina et al.2025 · 2 citationsarXiv
Euclid preparation LX. The use of HST images as input for weak-lensing image simulations2501.08372v1 · D. Scognamiglio, T. Schrabback, M. Tewes et al.2025 · 1 citationarXiv
Euclid preparation. XLIX. Selecting active galactic nuclei using observed colours2409.00175v1 · L. Bisigello, M. Massimo, C. Tortora et al.2024 · 0 citationsarXiv
Euclid. I. Overview of the Euclid mission2405.13491v2 · Y. Mellier, Abdurro'uf, J. A. Acevedo Barroso et al.2024 · 622 citationsA&A 697, A1 (2025)
Euclid. II. The VIS Instrument2405.13492v2 · M. S. Cropper, A. Al-Bahlawan, J. Amiaux et al.2024 · 6 citationsA&A 697, A2 (2025)
Euclid. V. The Flagship galaxy mock catalogue: a comprehensive simulation for the Euclid mission2405.13495v1 · F. J. Castander, P. Fosalba, J. Stadel et al.2024 · 66 citationsA&A 697, A5 (2025)
Euclid preparation. Sensitivity to neutrino parameters2405.06047v1 · M. Archidiacono, J. Lesgourgues, S. Casas et al.2024 · 37 citationsA&A 693, A58 (2025)
Euclid preparation. XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning2402.10187v2 · B. Aussel, S. Kruk, M. Walmsley et al.2024 · 0 citationsA&A 689, A274 (2024)
Euclid preparation: XLVIII. The pre-launch Science Ground Segment simulation framework2401.01452v2 · S. Serrano, P. Hudelot, G. Seidel et al.2024 · 0 citationsA&A 690, A103 (2024)
Euclid Preparation. TBD. Impact of magnification on spectroscopic galaxy clustering2311.03168v1 · G. Jelic-Cizmek, F. Sorrenti, F. Lepori et al.2023 · 0 citationsarXiv
Euclid preparation. XXXIX. The effect of baryons on the Halo Mass Function2311.01465v2 · T. Castro, S. Borgani, M. Costanzi et al.2023 · 0 citationsarXiv
Strong gravitational lensing by AGNs as a probe of the quasar-host relations in the distant Universe2306.01042v2 · Martin Millon, Fr'ed'eric Courbin, Aymeric Galan et al.2023 · 6 citationsNature Astronomy, Volume 7, p. 959-966, August 2023
COSMOGRAIL XVIII: time delays of the quadruply lensed quasar WFI2033-47231905.08260v1 · V. Bonvin, M.Millon, J.H.H. Chan et al.2019 · 50 citationsarXiv
Euclid Preparation IV. Impact of undetected galaxies on weak-lensing shear measurements1902.00044v2 · N. Martinet, T. Schrabback, H. Hoekstra et al.2019 · 1 citationA&A 627, A59 (2019)
Weak-lensing shear measurement with machine learning: teaching artificial neural networks about feature noise1807.02120v2 · Malte Tewes, Thibault Kuntzer, Reiko Nakajima et al.2018 · 34 citationsA&A 621, A36 (2019)
COSMOGRAIL XVII: Time delays for the quadruply imaged quasar PG 1115+0801804.09183v1 · V. Bonvin, J. H. H. Chan, M. Millon et al.2018 · 72 citationsA&A 616, A183 (2018)
Weak lensing magnification of SpARCS galaxy clusters1710.06431v1 · A. Tudorica, H. Hildebrandt, M. Tewes et al.2017 · 19 citationsA&A 608, A141 (2017)
COSMOGRAIL XVI: Time delays for the quadruply imaged quasar DES J0408-5354 with high-cadence photometric monitoring1706.09424v2 · F. Courbin, V. Bonvin, E. Buckley-Geer et al.2017 · 115 citationsA&A 609, A71 (2018)
H0LiCOW I. H0H_0 Lenses in COSMOGRAIL's Wellspring: Program Overview1607.00017v2 · S. H. Suyu, V. Bonvin, F. Courbin et al.2016 · 346 citationsarXiv
Stellar classification from single-band imaging using machine learning1605.03201v1 · T. Kuntzer, M. Tewes, F. Courbin2016 · 39 citationsA&A 591, A54 (2016)
Firedec: a two-channel finite-resolution image deconvolution algorithm1602.02167v1 · N. Cantale, F. Courbin, M. Tewes et al.2016 · 31 citationsarXiv
GREAT3 results I: systematic errors in shear estimation and the impact of real galaxy morphology1412.1825v3 · Rachel Mandelbaum, Barnaby Rowe, Robert Armstrong et al.2014 · 164 citationsMonthly Notices of the Royal Astronomical Society, 2015, 450 (3): 2963-3007
Hopfield Neural Network deconvolution for weak lensing measurement1411.3193v2 · Guldariya Nurbaeva, Malte Tewes, Frederic Courbin et al.2014 · 4 citationsA&A 577, A104 (2015)
Strong Lens Time Delay Challenge: II. Results of TDC11409.1254v2 · Kai Liao, Tommaso Treu, Phil Marshall et al.2014 · 147 citations2015, ApJ, 800, 11
Cosmology from gravitational lens time delays and Planck data1306.4732v2 · S. H. Suyu, T. Treu, S. Hilbert et al.2013 · 235 citationsarXiv
Dark energy with gravitational lens time delays1306.1272v1 · T.Treu, P.J.Marshall, F.-Y.Cyr-Racine et al.2013 · 2 citationsarXiv
Two accurate time-delay distances from strong lensing: Implications for cosmology1208.6010v2 · S. H. Suyu, M. W. Auger, S. Hilbert et al.2012 · 365 citationsarXiv
A fast empirical method for galaxy shape measurements in weak lensing surveys1203.4429v2 · M. Tewes, N. Cantale, F. Courbin et al.2012 · 13 citationsA&A 544, A8 (2012)
Image Analysis for Cosmology: Results from the GREAT10 Galaxy Challenge1202.5254v2 · T. D. Kitching, S. T. Balan, S. Bridle et al.2012 · 159 citationsMNRAS (2012) 423 (4): 3163-3208
Three QSOs acting as strong gravitational lenses1110.5514v1 · F. Courbin, C. Faure, S. G. Djorgovski et al.2011 · 22 citationsarXiv
Career total: at least 103 works. 51 are in this corpus.Showing the 50 most recent.

Profile built from the corpus for this byline.

Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.