J 2025

Time domain astrophysics with transient sources Delay estimate via Cross Correlation Function techniques

LEONE, W.; L. BURDERI; T. DI SALVO; A. ANITRA; A. SANNA et al.

Základní údaje

Originální název

Time domain astrophysics with transient sources Delay estimate via Cross Correlation Function techniques

Autoři

LEONE, W.; L. BURDERI; T. DI SALVO; A. ANITRA; A. SANNA; A. RIGGIO; R. IARIA; F. FIORE; F. LONGO; Michaela ĎURÍŠKOVÁ; A. TSVETKOVA; C. MARAVENTANO a C. MICELI

Vydání

ASTRONOMY & ASTROPHYSICS, LES ULIS CEDEX A, EDP SCIENCES S A, 2025, 0004-6361

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10308 Astronomy

Stát vydavatele

Francie

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 5.800 v roce 2024

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14310/25:00143299

Organizační jednotka

Přírodovědecká fakulta

EID Scopus

Klíčová slova anglicky

methods: analytical; methods: statistical; gamma-ray burst: general

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 15. 1. 2026 08:45, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

The timing analysis of transient events allows for investigating numerous still open areas of modern astrophysics. The article explores all the mathematical and physical tools required to estimate delays and associated errors between two Times of Arrival (ToA) lists, by exploiting Cross Correlation Function (CCF) techniques. The CCF permits the establishment of the delay between two observed signals and is defined on two continuous functions. A detector does not directly measure the intensity of the electromagnetic signal (interacting with its material) but rather detects each photon ToA through a probabilistic process. Since the CCF is defined on continuous functions, the crucial step is to obtain a continuous rate curve from a list of ToA. This step is treated in the article and the constructed rate functions are light curves that are continuous functions. This allows, in principle, the estimation of delays with any desired resolution. Due to the statistical nature of the measurement process, two independent detections of the same signal yield different photon times. Consequently, light curves derived from these lists differ due to Poisson fluctuations, leading the CCF between them to fluctuate around the true theoretical delay. This article describes a Monte Carlo technique that enables reliable delay estimation by providing a robust measure of the uncertainties induced by Poissonian fluctuations. GRB data are considered as they offer optimal test cases for the proposed techniques. The developed techniques provide a significant computational advantage and are useful analysis of data characterized by low-count statistics (i.e., low photon count rates in c/s), as they allow overcoming the limitations associated with traditional fixed bin-size methods.