Gamma-ray Bursts as Distance Indicators by a Statistical Learning Approach

التفاصيل البيبلوغرافية
العنوان: Gamma-ray Bursts as Distance Indicators by a Statistical Learning Approach
المؤلفون: Dainotti, Maria Giovanna, Narendra, Aditya, Pollo, Agnieszka, Petrosian, Vahe, Bogdan, Malgorzata, Iwasaki, Kazunari, Prochaska, Jason Xavier, Rinaldi, Enrico, Zhou, David
سنة النشر: 2024
المجموعة: Astrophysics
مصطلحات موضوعية: Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics
الوصف: Gamma-ray bursts (GRBs) can be probes of the early universe, but currently, only 26% of GRBs observed by the Neil Gehrels Swift Observatory GRBs have known redshifts ($z$) due to observational limitations. To address this, we estimated the GRB redshift (distance) via a supervised statistical learning model that uses optical afterglow observed by Swift and ground-based telescopes. The inferred redshifts are strongly correlated (a Pearson coefficient of 0.93) with the observed redshifts, thus proving the reliability of this method. The inferred and observed redshifts allow us to estimate the number of GRBs occurring at a given redshift (GRB rate) to be 8.47-9 $yr^{-1} Gpc^{-1}$ for $1.9Comment: 10 figures. Submitted for publication at The Astrophysical Journal Letters. arXiv admin note: text overlap with arXiv:1907.05074. Passed second reviewer response
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2402.04551
رقم الأكسشن: edsarx.2402.04551
قاعدة البيانات: arXiv