Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Improving H.E.S.S Monoscopic Gamma-Hadron Separation at Low Energies and Application to the Vela Pulsar

Bedur Ramesh, P. (2024). Improving H.E.S.S Monoscopic Gamma-Hadron Separation at Low Energies and Application to the Vela Pulsar. Master Thesis, Indian Institute of Science Education and Research, Tirupati.

Item is

Basisdaten

einblenden: ausblenden:
Genre: Hochschulschrift

Dateien

einblenden: Dateien
ausblenden: Dateien
:
Master_Ramesh Bedur.pdf (beliebiger Volltext), 9MB
Name:
Master_Ramesh Bedur.pdf
Beschreibung:
-
OA-Status:
Gold
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-
Lizenz:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Bedur Ramesh, Prajath1, Autor           
Affiliations:
1Division Prof. Dr. James A. Hinton, MPI for Nuclear Physics, Max Planck Society, ou_2074298              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 MPINP: HESS - Abteilung Hinton
 Zusammenfassung: Gamma-rays of astrophysical origin having energy Eγ ≳ 10 GeV produce a cascade of secondary particles called an extensive air-shower upon their interaction with the particles in the atmosphere. Detecting these gamma rays is crucial to understanding the nature of high-energy particles and non-thermal emissions in the universe. The High Energy Spectroscopic System (H.E.S.S) uses an array of Cherenkov telescopes to detect the emission from the air-shower particles. H.E.S.S has been successful in detecting TeV gamma rays from various sources like supernovae, AGNs and pulsars. This thesis involves the use of monoscopic observations of the Vela pulsar from the central CT5 telescope of H.E.S.S to detect pulsations in the sub-100 GeV energy range.

The analysis process requires separating the gamma-ray induced showers from the background-dominated cosmic-ray induced showers. This process of separation is carried out in H.E.S.S using a Boosted Decision Tree classifier (BDT) by training on point-source Monte-Carlo simulations of gamma-ray showers. This separation is comparatively difficult for low energies using single telescope observations due to high similarities in the observed properties of the shower. Having additional features that are different for the two classes would be beneficial for this process. This thesis presents the improvement in the performance of the classifier by adding new input parameters to the BDT training process. The parameter among them that is the most helpful in the discrimination is discussed. The results from training the classifier on two different ranges of shower intensities are also presented.

The selection cuts that define the decision boundary between what is considered signal or background are optimized to get the best significance of signal over background. Further, a consistency check using diffuse Monte-Carlo simulations of gamma-ray showers is performed to investigate the effect the trained model could have on showers recorded at different quadrants of the camera.

An improved background separation at low energies would benefit in better distinguishing the pulsar signal from the background. This thesis also presents the application of the improved performance of the classifier to the Vela pulsar to get a spectral energy distribution in the 30 to 100 GeV energy range. Finally, the results are compared with the previous detections of Vela with H.E.S.S.

Details

einblenden:
ausblenden:
Sprache(n):
 Datum: 2024
 Publikationsstatus: Angenommen
 Seiten: XIII, 47 Seiten
 Ort, Verlag, Ausgabe: Tirupati : Indian Institute of Science Education and Research
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: -
 Art des Abschluß: Master

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle

einblenden: