Aditya Narendra

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Maria Giovanna DainottiNAOJPatvirtintas el. paštas nao.ac.jp
Malgorzata BogdanProfessor of Statistics, University of WroclawPatvirtintas el. paštas uwr.edu.pl
Enrico RinaldiQuantinuumPatvirtintas el. paštas quantinuum.com
Ioannis (Yannis) LiodakisInstitute of Astrophysics - FORTHPatvirtintas el. paštas ia.forth.gr
Spencer GibsonGraduate Student, Carnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Gopal BhattaProfessor of Astrophysics, University of Zielona GóraPatvirtintas el. paštas astro.ia.uz.zgora.pl
Shubham BhardwajPhD, National Astronomical Observatory of Japan, Department of Astronomical Sciences, SOKENDAIPatvirtintas el. paštas grad.nao.ac.jp
Blazej MiasojedowUniversity of WarsawPatvirtintas el. paštas mimuw.edu.pl
Zooey NguyenAitomaticPatvirtintas el. paštas ucla.edu
Eric WangApplied Statistician, Lawrence Livermore National LaboratoryPatvirtintas el. paštas usna.edu
Anish KalsiDepartment of Physics and Astronomy, University of Padova, ItalyPatvirtintas el. paštas studenti.unipd.it
Sachin VenkateshGeorgia Institute of TechnologyPatvirtintas el. paštas gatech.edu
Elias Alexander LehmanPhysics Student at UC BerkeleyPatvirtintas el. paštas berkeley.edu
Ningombam Shantikumar SinghIndian Institute of AstrophysicsPatvirtintas el. paštas iiap.res.in
J. Xavier ProchaskaUC Santa CruzPatvirtintas el. paštas ucolick.org
David ZhouUniversity of Illinois Urbana-ChampaignPatvirtintas el. paštas illinois.edu
Kazunari IwasakiNational Astronomical Observatory of Japan, Assistant ProfessorPatvirtintas el. paštas nao.ac.jp
Nathaniel CooperAssistant Professor of Physics, United States Merchant Marine AcademyPatvirtintas el. paštas usmma.edu

Stebėti

Aditya Narendra

Doctoral Student, Jagiellonian University

Patvirtintas el. paštas doctoral.uj.edu.pl

Machine learning AGN GRB photometric redshift


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Predicting the redshift of γ-ray-loud AGNs using supervised machine learning MG Dainotti, M Bogdan, A Narendra, SJ Gibson, B Miasojedow, I Liodakis, ... The Astrophysical Journal 920 (2), 118, 2021	20	2021
Predicting the redshift of gamma-ray loud agns using supervised machine learning. ii A Narendra, SJ Gibson, MG Dainotti, M Bogdan, A Pollo, I Liodakis, ... The Astrophysical Journal Supplement Series 259 (2), 55, 2022	17	2022
A Stochastic Approach To Reconstruct Gamma Ray Burst Lightcurves MG Dainotti, R Sharma, A Narendra, D Levine, E Rinaldi, A Pollo, ... The Astrophysical Journal Supplement Series 267 (2), 42, 2023	16	2023
Inferring the redshift of more than 150 GRBs with a machine-learning ensemble model MG Dainotti, E Taira, E Wang, E Lehman, A Narendra, A Pollo, ... The Astrophysical Journal Supplement Series 271 (1), 22, 2024	7	2024
GRB optical and X-ray plateau properties classifier using unsupervised machine learning S Bhardwaj, MG Dainotti, S Venkatesh, A Narendra, A Kalsi, E Rinaldi, ... Monthly Notices of the Royal Astronomical Society 525 (4), 5204-5223, 2023	7	2023
Using multivariate imputation by chained equations to predict redshifts of active galactic nuclei SJ Gibson, A Narendra, MG Dainotti, M Bogdan, A Pollo, A Poliszczuk, ... Frontiers in Astronomy and Space Sciences 9, 836215, 2022	6	2022
Gamma-Ray Bursts as Distance Indicators by a Statistical Learning Approach MG Dainotti, A Narendra, A Pollo, V Petrosian, M Bogdan, K Iwasaki, ... The Astrophysical Journal Letters 967 (2), L30, 2024	4	2024
Validation of estimated cloud fraction from MERRA-2 and AIRS data using ground based observation over IAO, Hanle SS Ningombam, A Narendra, BC Bhatt, TP Prabhu, GC Anupama, ... Advances in Space Research 66 (4), 826-843, 2020	4	2020
Fermi LAT AGN classification using supervised machine learning N Cooper, MG Dainotti, A Narendra, I Liodakis, M Bogdan Monthly Notices of the Royal Astronomical Society 525 (2), 1731-1745, 2023	1	2023
GRB Redshift Estimation using Machine Learning and the Associated Web-App A Narendra, M Dainotti, M Sarkar, A Lenart, M Bogdan, A Pollo, B Zhang, ... arXiv preprint arXiv:2410.13985, 2024		2024
Inferring the redshift of more than 150 GRBs with a Machine Learning Ensemble model M giovanna Dainotti, E Taira, E Wang, E Lehman, A Narendra, A Pollo, ... arXiv preprint arXiv:2401.03589, 2024		2024
Predicting the redshift of AGNs using SuperLearner A Narendra Video Memorie della Societa Astronomica Italiana 4, 41, 2023		2023
VizieR Online Data Catalog: Swift GRBs light curve reconstruction (Dainotti+, 2023) MG Dainotti, R Sharma, A Narendra, D Levine, E Rinaldi, A Pollo, ... VizieR Online Data Catalog, J/ApJS/267/42, 2023		2023
VizieR Online Data Catalog: Predicted redshifts for 4FGL gamma-ray loud AGNs (Narendra+, 2022) A Narendra, SJ Gibson, MG Dainotti, M Bogdan, A Pollo, I Liodakis, ... VizieR Online Data Catalog, J/ApJS/259/55, 2022		2022
Validation of estimated cloud fraction from MERRA-2 and AIRS data using ground based observation over IAO, Hanle SN Shantikumar, A Narendra, BC Bhatt, TP Prabhu, GC Anupama, ... Elsevier BV, 2020		2020

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