| Title: | Detection methods for the Cherenkov Telescope Array at very-short exposure times |
|---|
| Authors: | ID Di Piano, Ambra (Author)
ID Bhattacharyya, Saptashwa (Author)
ID MARČUN, Barbara (Author)
ID Pérez Romero, Judit (Author)
ID Stanič, Samo (Author)
ID Vodeb, Veronika (Author)
ID Vorobiov, Serguei (Author)
ID Zaharijas, Gabrijela (Author)
ID Zavrtanik, Marko (Author)
ID Zavrtanik, Danilo (Author)
ID Živec, Miha (Author), et al. |
|---|
| Files: |  ICRC2021_694.pdf (1,08 MB)
MD5: 23C992A9A872D1D2CB8DBAD7461A322F
 https://pos.sissa.it/395/
https://pos.sissa.it/395/694/pdf
|
|---|
| Language: | English |
|---|
| Work type: | Not categorized |
|---|
| Typology: | 1.08 - Published Scientific Conference Contribution |
|---|
| Organization: | UNG - University of Nova Gorica
|
|---|
| Abstract: | The Cherenkov Telescope Array (CTA) will be the next generation ground-based observatory for very-high-energy (VHE) gamma-ray astronomy, with the deployment of tens of highly sensitive and fast-reacting Cherenkov telescopes. It will cover a wide energy range (20 GeV - 300 TeV) with unprecedented sensitivity. To maximize the scientific return, the observatory will be provided with an online software system that will perform the first analysis of scientific data in real-time. This study investigates the precision and accuracy of available science tools and analysis techniques for the short-term detection of gamma-ray sources, in terms of sky localization, detection significance and, if significant detection is achieved, a first estimation of the integral photon flux. The scope is to evaluate the feasibility of the algorithms’ implementation in the real-time analysis of CTA. In this contribution we present a general overview of the methods and some of the results for the test case of the short-term detection of a gamma-ray burst afterglow, as the VHE counterpart of a gravitational wave event. |
|---|
| Keywords: | very-high-energy gamma-rays, Cherenkov Telescope Array, gamma-ray astronomy |
|---|
| Publication status: | Published |
|---|
| Year of publishing: | 2021 |
|---|
| PID: | 20.500.12556/RUNG-8420  |
|---|
| COBISS.SI-ID: | 164772355 |
|---|
| NUK URN: | URN:SI:UNG:REP:VNYTRLHW |
|---|
| Publication date in RUNG: | 18.09.2023 |
|---|
| Views: | 582 |
|---|
| Downloads: | 6 |
|---|
| Metadata: |     |
|---|
|
:
|
Copy citation |
|---|
| | | | Average score: | (0 votes) |
|---|
| Your score: | Voting is allowed only for logged in users. |
|---|
| Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |
