The Dark Energy Survey Supernova Program: Cosmological Biases from Supernova Photometric Classification
H. Qu,M. Sako,M. Vincenzi,C. Sanchez,D. Brout,R. Kessler,R. Chen,T. Davis,L. Galbany,L. Kelsey,J. Lee,C. Lidman,B. Popovic,B. Rose,D. Scolnic,M. Smith,M. Sullivan,P. Wiseman,T. M. C. Abbott,M. Aguena,O. Alves,D. Bacon,E. Bertin, D. Brooks,D. L. Burke,A. Carnero Rosell,J. Carretero,L. N. da Costa,M. E. S. Pereira,H. T. Diehl, P. Doel,S. Everett,I. Ferrero,J. Frieman,J. Garcia-Bellido,G. Giannini,D. Gruen,R. A. Gruendl,G. Gutierrez,S. R. Hinton,D. L. Hollowood,K. Honscheid,D. J. James,K. Kuehn,O. Lahav,J. L. Marshall,J. Mena-Fernandez,F. Menanteau,R. Miquel,R. L. C. Ogando,A. Palmese,A. Pieres,A. A. Plazas-Malagon,M. Raveri,E. Sanchez,I. Sevilla-Noarbe,M. Soares-Santos,E. Suchyta,G. Tarle,N. Weaverdyck ASTROPHYSICAL JOURNAL（2024）
Key words
supernova photometric classification,cosmological biases
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper