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authFullName_s : L. Bisigello
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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

Recovering the Properties of High‐redshift Galaxies with Different JWST Broadband Filters

L. Bisigello , K. I. Caputi , L. Colina , O. Le Fevre , H. U. Norgaard‐nielsen , et al.
The Astrophysical Journal Supplement, 2017, 231 (1), ⟨10.3847/1538-4365/aa7a14⟩
Journal articles hal-01678384v1

Statistical Stellar Mass Corrections for High-z Galaxies Observed with JWST Broadband Filters Due to Template Degeneracies

L. Bisigello , K. I. Caputi , L. Colina , P. G. Pérez-González , A. Koekemoer , et al.
The Astrophysical Journal Supplement Series, 2019, 243, ⟨10.3847/1538-4365/ab2911⟩
Journal articles insu-03666734v1
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Star Formation in Galaxies at z ∼ 4–5 from the SMUVS Survey: A Clear Starburst/Main-sequence Bimodality for Hα Emitters on the SFR–M* Plane

K.I. Caputi , S. Deshmukh , M.L.N. Ashby , W.I. Cowley , L. Bisigello , et al.
Astrophys.J., 2017, 849 (1), pp.45. ⟨10.3847/1538-4357/aa901e⟩
Journal articles hal-01645708v1
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CO in the ALMA Radio-source Catalogue (ARC): The molecular gas content of radio galaxies as a function of redshift

A. Audibert , K. M. Dasyra , M. Papachristou , J. A. Fernández-Ontiveros , I. Ruffa , et al.
Astronomy and Astrophysics - A&A, 2022, 668, ⟨10.1051/0004-6361/202243666⟩
Journal articles obspm-03977550v1

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

The Impact of JWST Broadband Filter Choice on Photometric Redshift Estimation

L. Bisigello , K. I. Caputi , L. Colina , O. Le Fèvre , H. U. Nørgaard-Nielsen , et al.
The Astrophysical Journal Supplement Series, 2016, 227, ⟨10.3847/0067-0049/227/2/19⟩
Journal articles insu-03667687v1

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

Euclid: the selection of quiescent and star-forming galaxies using observed colours

L. Bisigello , U. Kuchner , C.J. Conselice , S. Andreon , M. Bolzonella , et al.
Monthly Notices of the Royal Astronomical Society, 2020, 494 (2), pp.2337-2354. ⟨10.1093/mnras/staa885⟩
Journal articles hal-02550042v1