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authFullName_s : M. Schirmer
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CARS: the CFHTLS-Archive-Research Survey. I. Five-band multi-colour data from 37 sq. deg. CFHTLS-wide observations

T. Erben , H. Hildebrandt , M. Lerchster , P. Hudelot , J. Benjamin et al.
Astronomy and Astrophysics - A&A, 2009, 493, pp.1197-1222. ⟨10.1051/0004-6361:200810426⟩
Journal articles hal-03646353v1

GaBoDS: The Garching-Bonn Deep Survey. IV. Methods for the image reduction of multi-chip cameras demonstrated on data from the ESO Wide-Field Imager

T. Erben , M. Schirmer , J.P. Dietrich , O. Cordes , L. Haberzettl et al.
Astronomical Notes / Astronomische Nachrichten, 2005, 326, pp.432-464. ⟨10.1002/asna.200510396⟩
Journal articles hal-00388262v1
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Euclid preparation

H. Bretonnière , M. Huertas-Company , A. Boucaud , F. Lanusse , E. Jullo et al.
Astronomy and Astrophysics - A&A, 2022, 657, pp.A90. ⟨10.1051/0004-6361/202141393⟩
Journal articles hal-03533669v1

Mass profile and dynamical status of the z similar to 0.8 galaxy cluster LCDCS 0504

L. Guennou , A. Biviano , C. Adami , M. Limousin , G. B. Lima Neto et al.
Astronomy and Astrophysics - A&A, 2014, 566, ⟨10.1051/0004-6361/201322447⟩
Journal articles hal-01440985v1
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Euclid preparation

S. Ilić , N. Aghanim , C. Baccigalupi , J. R. Bermejo-Climent , G. Fabbian et al.
Astronomy and Astrophysics - A&A, 2022, 657, pp.A91. ⟨10.1051/0004-6361/202141556⟩
Journal articles hal-03533670v1

Euclid Preparation XXIX: Forecasts for 10 different higher-order weak lensing statistics

V. Ajani , M. Baldi , A. Barthelemy , A. Boyle , P. Burger et al.
2023
Preprints, Working Papers, ... hal-03986111v1

Studying the Ultraviolet Spectrum of the First Spectroscopically Confirmed Supernova at Redshift Two

M. Smith , M. Sullivan , R.C. Nichol , L. Galbany , C.B. d'Andrea et al.
Astrophys.J., 2018, 854 (1), pp.37. ⟨10.3847/1538-4357/aaa126⟩
Journal articles hal-01714685v1
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Euclid preparation: XXI. Intermediate-redshift contaminants in the search for $z>6$ galaxies within the Euclid Deep Survey

S. van Mierlo , K. Caputi , M. Ashby , H. Atek , M. Bolzonella et al.
Astronomy and Astrophysics - A&A, 2022, 666, pp.A200. ⟨10.1051/0004-6361/202243950⟩
Journal articles hal-03866172v1

Euclid preparation. XXVII. Covariance model validation for the 2-point correlation function of galaxy clusters

A. Fumagalli , A. Saro , S. Borgani , T. Castro , M. Costanzi et al.
2022
Preprints, Working Papers, ... hal-03892184v1

Euclid preparation. XXX. Evaluating the weak lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations

C. Giocoli , M. Meneghetti , E. Rasia , S. Borgani , G. Despali et al.
2023
Preprints, Working Papers, ... hal-03991062v1

Euclid preparation. XXI. Intermediate-redshift contaminants in the search for z > 6 galaxies within the Euclid Deep Survey (Corrigendum)

S. E. van Mierlo , K. I. Caputi , M. Ashby , H. Atek , M. Bolzonella et al.
Astronomy and Astrophysics - A&A, 2022, 668, pp.C3. ⟨10.1051/0004-6361/202243950e⟩
Journal articles hal-03935710v1

Euclid Preparation. XIV. The Complete Calibration of the Color–Redshift Relation (C3R2) Survey: Data Release 3

S. Stanford , D. Masters , B. Darvish , D. Stern , J. Cohen et al.
The Astrophysical Journal Supplement, 2021, 256 (1), pp.9. ⟨10.3847/1538-4365/ac0833⟩
Journal articles hal-03413175v1
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Euclid preparation: XXII. Selection of Quiescent Galaxies from Mock Photometry using Machine Learning

A. Humphrey , L. Bisigello , P. A. C. Cunha , M. Bolzonella , S. Fotopoulou et al.
Astronomy and Astrophysics - A&A, 2023, 671, pp.A99. ⟨10.1051/0004-6361/202244307⟩
Journal articles hal-03866216v1

Euclid preparation. XXV. The Euclid Morphology Challenge -- Towards model-fitting photometry for billions of galaxies

E. Merlin , M. Castellano , H. Bretonnière , M. Huertas-Company , U. Kuchner et al.
Astron.Astrophys., 2023, 671, pp.A101
Journal articles hal-03841758v1

Euclid preparation XXVI: The Euclid Morphology Challenge. Towards structural parameters for billions of galaxies

H. Bretonnière , U. Kuchner , M. Huertas-Company , E. Merlin , M. Castellano et al.
Astron.Astrophys., 2023, 671, pp.A102
Journal articles hal-03841727v1
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Euclid preparation - I. The Euclid Wide Survey

R. Scaramella , J. Amiaux , Y. Mellier , C. Burigana , C. Carvalho et al.
Astronomy and Astrophysics - A&A, 2022, 662, pp.A112. ⟨10.1051/0004-6361/202141938⟩
Journal articles hal-03866201v2
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Euclid preparation: XIX. Impact of magnification on photometric galaxy clustering

F. Lepori , I. Tutusaus , C. Viglione , C. Bonvin , S. Camera et al.
Astronomy and Astrophysics - A&A, 2022, 662, pp.A93. ⟨10.1051/0004-6361/202142419⟩
Journal articles hal-03447630v1

Euclid preparation - XVIII. The NISP photometric system

M. Schirmer , K. Jahnke , G. Seidel , H. Aussel , C. Bodendorf et al.
Astron.Astrophys., 2022, 662, pp.A92. ⟨10.1051/0004-6361/202142897⟩
Journal articles hal-03613681v1

Euclid preparation: XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images

L. Bisigello , C. J. Conselice , M. Baes , M. Bolzonella , M. Brescia et al.
2022
Preprints, Working Papers, ... hal-03866380v1

Euclid preparation: XVIII. Cosmic Dawn Survey. Spitzer observations of the Euclid deep fields and calibration fields

Andrea Moneti , H. J. Mccracken , M. Shuntov , O. B. Kauffmann , P. Capak et al.
2021
Preprints, Working Papers, ... hal-03451656v1

Deep Impact: Observations from a Worldwide Earth-Based Campaign

K.-J. Meech , N. Ageorges , Michael F. A'Hearn , C. Arpigny , A. Ates et al.
Science, 2005, 310 (5746), pp.265-269. ⟨10.1126/science.1118978⟩
Journal articles hal-00448665v1

Euclid preparation - XX. The Complete Calibration of the Color–Redshift Relation survey: LBT observations and data release

R. Saglia , S. de Nicola , M. Fabricius , V. Guglielmo , J. Snigula et al.
Astron.Astrophys., 2022, 664, pp.A196. ⟨10.1051/0004-6361/202243604⟩
Journal articles hal-03737445v1

Structure and substructure analysis of DAFT/FADA galaxy clusters in the [0.4-0.9] redshift range

L. Guennou , C. Adami , F. Durret , G. B. Lima Neto , M. P. Ulmer et al.
Astronomy and Astrophysics - A&A, 2014, 561, ⟨10.1051/0004-6361/201321208⟩
Journal articles hal-01440986v1

Euclid near infrared spectrometer and photometer instrument flight model presentation, performance, and ground calibration results summary

T. Maciaszek , A. Ealet , W. Gillard , K. Jahnke , R. Barbier et al.
SPIE Astronomical Telescopes + Instrumentation 2022, Jul 2022, Montréal, Canada. pp.121801K, ⟨10.1117/12.2630338⟩
Conference papers hal-03851416v1
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Euclid preparation. XVII. Cosmic Dawn Survey: Spitzer Space Telescope observations of the Euclid deep fields and calibration fields

A. Moneti , H. J. Mccracken , M. Shuntov , O. B. Kauffmann , P. Capak et al.
Astronomy and Astrophysics - A&A, 2022, 658, pp.A126. ⟨10.1051/0004-6361/202142361⟩
Journal articles hal-03565435v1

Euclid preparation: XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images

L. Bisigello , C. J. Conselice , M. Baes , M. Bolzonella , M. Brescia et al.
Monthly Notices of the Royal Astronomical Society: Letters, 2023, 520 (3), pp.3529-3548. ⟨10.1093/mnras/stac3810⟩
Journal articles insu-03947319v1

GEMINI FRONTIER FIELDS: WIDE-FIELD ADAPTIVE OPTICS K-s-BAND IMAGING OF THE GALAXY CLUSTERS MACS J0416.1-2403 AND ABELL 2744

M. Schirmer , E. R. Carrasco , P. Pessev , V. Garrel , C. Winge et al.
The Astrophysical Journal Supplement, 2015, 217 (2), ⟨10.1088/0067-0049/217/2/33⟩
Journal articles hal-01439921v1

Euclid preparation. XXIV. Calibration of the halo mass function in $\Lambda(\nu)$CDM cosmologies

T. Castro , A. Fumagalli , R.E. Angulo , S. Bocquet , S. Borgani et al.
Astron.Astrophys., 2023, 671, pp.A100
Journal articles hal-03778228v1