Detection of the Crab Nebula using a Random Forest Analysis of the first TAIGA IACT Data
The Tunka Advanced Instrument for Gamma- and cosmic-ray Astronomy (TAIGA) is a multicomponent experiment for the measurement of TeV to PeV gamma- and cosmic rays. Our goal is to establish a novel hybrid direct air shower technique, sufficient to access the energy domain of the long-sought Pevatrons....
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ftdesyvdb:oai:bib-pubdb1.desy.de:570294 2023-05-15T18:30:28+02:00 Detection of the Crab Nebula using a Random Forest Analysis of the first TAIGA IACT Data Blank, M. Tluczykont, M. Porelli, A. Mirzoyan, R. Wischnewski, R. Awad, A. K. Brueckner, M. DE 2023 https://bib-pubdb1.desy.de/record/570294 https://bib-pubdb1.desy.de/search?p=id:%22PUBDB-2023-00657%22 eng eng info:eu-repo/semantics/altIdentifier/arxiv/arXiv:2301.11002 https://bib-pubdb1.desy.de/record/570294 https://bib-pubdb1.desy.de/search?p=id:%22PUBDB-2023-00657%22 info:eu-repo/semantics/closedAccess info:eu-repo/classification/ddc/520 radiation Cherenkov energy threshold showers atmosphere muon detector TeV air cosmic radiation hybrid power spectrum Monte Carlo Cherenkov counter flux spatial resolution imaging statistical hadron info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion 2023 ftdesyvdb 2023-02-20T00:16:02Z The Tunka Advanced Instrument for Gamma- and cosmic-ray Astronomy (TAIGA) is a multicomponent experiment for the measurement of TeV to PeV gamma- and cosmic rays. Our goal is to establish a novel hybrid direct air shower technique, sufficient to access the energy domain of the long-sought Pevatrons. The hybrid air Cherenkov light detection technique combines the strengths of the HiSCORE shower front sampling array, and two $\thicksim$4 m class, $\sim$9.6 deg field of view Imaging Air Cherenkov Telescopes (IACTs). The HiSCORE array provides good angular and shower core position resolution, while the IACTs provide the image shape and orientation for gamma-hadron separation. In future, an additional muon detector will be used for hadron tagging at $\ge$ 100 TeV energies. Here, only data from the first IACT of the TAIGA experiment are used. A random forest algorithm was trained using Monte Carlo (MC) simulations and real data, and applied to 85 h of selected observational data tracking the Crab Nebula at a mean zenith angle of 33.5 deg, resulting in a threshold energy of 6 TeV for this dataset. The analysis was performed using the gammapy package. A total of 163.5 excess events were detected, with a statistical significance of 8.5 sigma. The observed spectrum of the Crab Nebula is best fit with a power law above 6 TeV with a flux normalisation of $(3.20\pm0.42)\cdot10^{-10} TeV^{-1} cm^{-2} s^{-1})$ at a reference energy of 13 TeV and a spectral index of $-2.74\pm0.16$. Report taiga DESY Publication Database (PUBDB) |
institution |
Open Polar |
collection |
DESY Publication Database (PUBDB) |
op_collection_id |
ftdesyvdb |
language |
English |
topic |
info:eu-repo/classification/ddc/520 radiation Cherenkov energy threshold showers atmosphere muon detector TeV air cosmic radiation hybrid power spectrum Monte Carlo Cherenkov counter flux spatial resolution imaging statistical hadron |
spellingShingle |
info:eu-repo/classification/ddc/520 radiation Cherenkov energy threshold showers atmosphere muon detector TeV air cosmic radiation hybrid power spectrum Monte Carlo Cherenkov counter flux spatial resolution imaging statistical hadron Blank, M. Tluczykont, M. Porelli, A. Mirzoyan, R. Wischnewski, R. Awad, A. K. Brueckner, M. Detection of the Crab Nebula using a Random Forest Analysis of the first TAIGA IACT Data |
topic_facet |
info:eu-repo/classification/ddc/520 radiation Cherenkov energy threshold showers atmosphere muon detector TeV air cosmic radiation hybrid power spectrum Monte Carlo Cherenkov counter flux spatial resolution imaging statistical hadron |
description |
The Tunka Advanced Instrument for Gamma- and cosmic-ray Astronomy (TAIGA) is a multicomponent experiment for the measurement of TeV to PeV gamma- and cosmic rays. Our goal is to establish a novel hybrid direct air shower technique, sufficient to access the energy domain of the long-sought Pevatrons. The hybrid air Cherenkov light detection technique combines the strengths of the HiSCORE shower front sampling array, and two $\thicksim$4 m class, $\sim$9.6 deg field of view Imaging Air Cherenkov Telescopes (IACTs). The HiSCORE array provides good angular and shower core position resolution, while the IACTs provide the image shape and orientation for gamma-hadron separation. In future, an additional muon detector will be used for hadron tagging at $\ge$ 100 TeV energies. Here, only data from the first IACT of the TAIGA experiment are used. A random forest algorithm was trained using Monte Carlo (MC) simulations and real data, and applied to 85 h of selected observational data tracking the Crab Nebula at a mean zenith angle of 33.5 deg, resulting in a threshold energy of 6 TeV for this dataset. The analysis was performed using the gammapy package. A total of 163.5 excess events were detected, with a statistical significance of 8.5 sigma. The observed spectrum of the Crab Nebula is best fit with a power law above 6 TeV with a flux normalisation of $(3.20\pm0.42)\cdot10^{-10} TeV^{-1} cm^{-2} s^{-1})$ at a reference energy of 13 TeV and a spectral index of $-2.74\pm0.16$. |
format |
Report |
author |
Blank, M. Tluczykont, M. Porelli, A. Mirzoyan, R. Wischnewski, R. Awad, A. K. Brueckner, M. |
author_facet |
Blank, M. Tluczykont, M. Porelli, A. Mirzoyan, R. Wischnewski, R. Awad, A. K. Brueckner, M. |
author_sort |
Blank, M. |
title |
Detection of the Crab Nebula using a Random Forest Analysis of the first TAIGA IACT Data |
title_short |
Detection of the Crab Nebula using a Random Forest Analysis of the first TAIGA IACT Data |
title_full |
Detection of the Crab Nebula using a Random Forest Analysis of the first TAIGA IACT Data |
title_fullStr |
Detection of the Crab Nebula using a Random Forest Analysis of the first TAIGA IACT Data |
title_full_unstemmed |
Detection of the Crab Nebula using a Random Forest Analysis of the first TAIGA IACT Data |
title_sort |
detection of the crab nebula using a random forest analysis of the first taiga iact data |
publishDate |
2023 |
url |
https://bib-pubdb1.desy.de/record/570294 https://bib-pubdb1.desy.de/search?p=id:%22PUBDB-2023-00657%22 |
op_coverage |
DE |
genre |
taiga |
genre_facet |
taiga |
op_relation |
info:eu-repo/semantics/altIdentifier/arxiv/arXiv:2301.11002 https://bib-pubdb1.desy.de/record/570294 https://bib-pubdb1.desy.de/search?p=id:%22PUBDB-2023-00657%22 |
op_rights |
info:eu-repo/semantics/closedAccess |
_version_ |
1766213977369477120 |