Machine learning algorithms, specifically KNN and RF, can effectively calibrate the Amati relation for gamma-ray bursts using supernovae data, providing competitive results to Gaussian Processes and offering a promising tool for constraining cosmological models.
This research paper explores a cosmology-independent method to constrain cosmological models using a sample of 221 gamma-ray bursts (GRBs) and observational Hubble data, finding results consistent with previous studies and highlighting the potential of GRBs for future cosmological investigations.
Artificial neural networks can be used to calibrate gamma-ray burst relations in a model-independent way, offering a promising avenue for refining cosmological parameters and addressing tensions with the standard cosmological model.
The Amati correlation in long gamma-ray bursts exhibits significant heterogeneity across different redshift ranges, suggesting an evolution in GRB properties potentially linked to changes in host galaxy characteristics and challenging their use as standard candles in cosmology.
Gamma-ray bursts (GRBs) hold significant potential as cosmological probes, offering insights into the Universe's evolution and potentially addressing cosmological tensions, through the analysis of their prompt and afterglow emissions and the establishment of correlations between their physical properties.
감마선 폭발(GRB) 관측 자료를 활용한 우주론적 연구의 가능성을 검증하기 위해 퀘이사를 활용한 GRB 광도 상관관계 보정을 시도했으나, 높은 고유 분산으로 인해 정밀한 우주론적 탐침으로 활용하기에는 한계가 있음을 확인했습니다.
Gamma-ray burst (GRB) observables, even when calibrated using quasar data to avoid circularity issues, exhibit significant scatter in their luminosity correlations, rendering them unreliable as precise, model-independent cosmological probes.
This research proposes a novel, model-independent method for calibrating Gamma-Ray Bursts (GRBs) as cosmological distance indicators using Cosmic Chronometers (CCH) data and Gaussian Processes, potentially enabling the extension of the cosmic distance ladder to higher redshifts.
본 연구는 업데이트된 220개의 감마선 폭발(GRB) 데이터 모음을 사용하여 아마티 상관관계를 통해 표준화 가능성을 테스트하고, 이를 통해 우주론적 제약 조건을 도출하는 데 한계가 있음을 보여줍니다.
While a new compilation of gamma-ray burst data (J220) shows promise for cosmological analysis due to its adherence to the Amati correlation, it yields constraints on matter density (Ωm0) inconsistent with more established probes like H(z) and BAO data, suggesting limitations in its current form.