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Imaging atmospheric Cherenkov telescope (IACT) arrays record images from air showers initiated by gamma rays entering the atmosphere, allowing astrophysical sources to be observed at very high energies. To maximize IACT sensitivity,…

Instrumentation and Methods for Astrophysics · Physics 2020-01-13 Aryeh Brill , Qi Feng , T. Brian Humensky , Bryan Kim , Daniel Nieto , Tjark Miener

A systematic method for optimizing multivariate discriminants is developed and applied to the important example of a light Higgs boson search at the Tevatron and the LHC. The Significance Improvement Characteristic (SIC), defined as the…

High Energy Physics - Phenomenology · Physics 2011-06-23 Kevin Black , Jason Gallicchio , John Huth , Michael Kagan , Matthew D. Schwartz , Brock Tweedie

We present a high-performance event reconstruction algorithm: an Image Pixel-wise fit for Atmospheric Cherenkov Telescopes (ImPACT). The reconstruction algorithm is based around the likelihood fitting of camera pixel amplitudes to an…

Instrumentation and Methods for Astrophysics · Physics 2014-05-20 R. D. Parsons , J. A. Hinton

A new method is described that permits quickly and easily, a 2-dimensional search for TeV gamma-ray sources over large fields of view ~6deg with instruments utilising the imaging atmospheric Cerenkov technique. It employs as a background…

Astrophysics · Physics 2009-11-10 G. P. Rowell

At LHC energies, the Drell--Yan ($Z/\gamma^{*}$) processes have a substantially large cross section. Their di-lepton ($\ell^+\ell^-$) final state contributes significantly to many resonant signal regions, making them one of the dominant…

High Energy Physics - Phenomenology · Physics 2026-04-14 Manisha Kumari , Amal Sarkar

For stereoscopic systems of imaging atmospheric Cherenkov telescopes (IACTs), a key parameter to optimize the sensitivity for VHE gamma-ray point sources is the intertelescope spacing. Using pairs of telescopes of the HEGRA IACT system, the…

Machine learning tools are commonly used in modern high energy physics (HEP) experiments. Different models, such as boosted decision trees (BDT) and artificial neural networks (ANN), are widely used in analyses and even in the software…

Data Analysis, Statistics and Probability · Physics 2016-12-21 A. Rogozhnikov

In classical analyses of $\gamma$-ray data from IACTs, such as H.E.S.S., aperture photometry, or photon counting, is applied in a (typically circular) region of interest (RoI) encompassing the source. A key element in the analysis is to…

Instrumentation and Methods for Astrophysics · Physics 2019-12-04 Lars Mohrmann , Andreas Specovius , Domenico Tiziani , Stefan Funk , Dmitry Malyshev , Kaori Nakashima , Christopher van Eldik

Weakly supervised methods have emerged as a powerful tool for model-agnostic anomaly detection at the Large Hadron Collider (LHC). While these methods have shown remarkable performance on specific signatures such as di-jet resonances, their…

An adaptive iterative decision multi-feedback detection algorithm with constellation constraints is proposed for multiuser multi-antenna systems. An enhanced detection and interference cancellation is performed by introducing multiple…

Information Theory · Computer Science 2013-04-24 Peng Li , Jingjing Liu , Rodrigo C. de Lamare

At present, the ground-based astronomy of very high energy (VHE) (E>100 GeV) gamma-rays experiences the challenging transition phase caused by the substantial upgrading of its observational instrumentation. Recently the HEGRA collaboration…

Astrophysics · Physics 2008-11-26 Alexander K Konopelko

The identification of $\gamma$-rays from the predominant hadronic-background is a key aspect in their ground-based detection using Imaging Atmospheric Cherenkov Telescopes (IACTs). While current methods are limited in their ability to…

High Energy Astrophysical Phenomena · Physics 2025-10-08 Abhay Mehta , Dan Parsons , Tim Lukas Holch , David Berge , Matthias Weidlich

Telescopes based on the imaging atmospheric Cherenkov technique (IACTs) detect images of the atmospheric showers generated by gamma rays and cosmic rays as they are absorbed by the atmosphere. The much more frequent cosmic-ray events form…

Instrumentation and Methods for Astrophysics · Physics 2019-08-14 D. Nieto , A. Brill , B. Kim , T. B. Humensky

Identification of Cherenkov light generated by muons has been suggested as a promising way to dramatically improve the background rejection power of Imaging Atmospheric Cherenkov Telescope (IACT) arrays at high energies. However, muon…

High Energy Astrophysical Phenomena · Physics 2022-12-13 Laura Olivera-Nieto , Helena X. Ren , Alison M. W. Mitchell , Vincent Marandon , Jim Hinton

We introduce an optimization technique to discriminate signal and background in any phenomeno- logical study based on the cut and count-based method. The core ideas behind this technique are the introduction of a ranking scheme that can…

High Energy Physics - Phenomenology · Physics 2026-05-19 Baradhwaj Coleppa , Gokul B. Krishna , Agnivo Sarkar , Sujay Shil

We have developed a strategy for the analysis of newly available binary data to improve outcome predictions based on existing data (binary or non-binary). Our strategy involves two modeling approaches for the newly available data, one…

Applications · Statistics 2008-12-18 Jennifer Clarke , David Seo

H.E.S.S. -- The High Energy Stereoscopic System-- is a new system of large atmospheric Cherenkov telescopes for GeV/TeV Gamma-ray astronomy. This paper describes the trigger system of H.E.S.S. with emphasis on the multi-telescope array…

Astrophysics · Physics 2009-11-10 S. Funk , G. Hermann , J. Hinton , D. Berge , K. Bernloehr , W. Hofmann , P. Nayman , F. Toussenel , P. Vincent

A significant source of noise for Imaging Atmospheric Cherenkov Telescopes (IACTs), which are designed to measure air showers caused by astrophysical gamma rays, is optical light emitted from the night sky. This Night Sky Background (NSB)…

Instrumentation and Methods for Astrophysics · Physics 2025-06-30 Gerrit Roellinghoff , Samuel T. Spencer , Stefan Funk

This paper describes an innovative way to optimize a multivariate classifier, in particular a Support Vector Machine algorithm, on a problem characterized by a biased training sample. This is possible thanks to the feedback of a…

High Energy Physics - Experiment · Physics 2014-07-02 Federico Sforza , Vittorio Lippi

The High Altitude Water Cherenkov (HAWC) observatory and the High Energy Stereoscopic System (H.E.S.S.) are two leading instruments in the ground-based very-high-energy gamma-ray domain. HAWC employs the water Cherenkov detection (WCD)…

Instrumentation and Methods for Astrophysics · Physics 2021-09-09 H. Abdalla , F. Aharonian , F. Ait Benkhali , E. O. Angüner , C. Arcaro , C. Armand , T. Armstrong , H. Ashkar , M. Backes , V. Baghmanyan , V. Barbosa Martins , A. Barnacka , M. Barnard , Y. Becherini , D. Berge , K. Bernlöhr , B. Bi , M. Böttcher , C. Boisson , J. Bolmont , M. de Bony de Lavergne , M. Breuhaus , R. Brose , F. Brun , P. Brun , M. Bryan , M. Büchele , T. Bulik , T. Bylund , S. Caroff , A. Carosi , T. Chand , S. Chandra , A. Chen , G. Cotter , M. Curyło , J. Damascene Mbarubucyeye , I. D. Davids , J. Davies , C. Deil , J. Devin , L. Dirson , A. Djannati-Ataï , A. Dmytriiev , A. Donath , V. Doroshenko , L. Dreyer , C. Duffy , J. Dyks , K. Egberts , F. Eichhorn , S. Einecke , G. Emery , J. -P. Ernenwein , K. Feijen , S. Fegan , A. Fiasson , G. Fichet de Clairfontaine , G. Fontaine , S. Funk , M. Füßling , S. Gabici , Y. A. Gallant , G. Giavitto , L. Giunti , D. Glawion , J. F. Glicenstein , D. Gottschall , M. -H. Grondin , J. Hahn , M. Haupt , G. Hermann , J. A. Hinton , W. Hofmann , C. Hoischen , T. L. Holch , M. Holler , M. Hörbe , D. Horns , D. Huber , M. Jamrozy , D. Jankowsky , F. Jankowsky , I. Jung-Richardt , E. Kasai , M. A. Kastendieck , K. Katarzyński , U. Katz , D. Khangulyan , B. Khélifi , S. Klepser , W. Kluźniak , Nu. Komin , R. Konno , K. Kosack , D. Kostunin , M. Kreter , G. Lamanna , A. Lemière , M. Lemoine-Goumard , J. -P. Lenain , F. Leuschner , C. Levy , T. Lohse , I. Lypova , J. Mackey , J. Majumdar , D. Malyshev , D. Malyshev , V. Marandon , P. Marchegiani , A. Marcowith , A. Mares , G. Martí-Devesa , R. Marx , G. Maurin , P. J. Meintjes , M. Meyer , A. M. W. Mitchell , R. Moderski , L. Mohrmann , A. Montanari , C. Moore , P. Morris , E. Moulin , J. Muller , T. Murach , K. Nakashima , A. Nayerhoda , M. de Naurois , H. Ndiyavala , J. Niemiec , L. Oakes , P. O Brien , H. Odaka , S. Ohm , L. Olivera-Nieto , E. de Ona Wilhelmi , M. Ostrowski , S. Panny , M. Panter , R. D. Parsons , G. Peron , B. Peyaud , Q. Piel , S. Pita , V. Poireau , A. Priyana Noel , D. A. Prokhorov , H. Prokoph , G. Pühlhofer , M. Punch , A. Quirrenbach , S. Raab , R. Rauth , P. Reichherzer , A. Reimer , O. Reimer , Q. Remy , M. Renaud , F. Rieger , L. Rinchiuso , C. Romoli , G. Rowell , B. Rudak , V. Sahakian , S. Sailer , H. Salzmann , D. A. Sanchez , A. Santangelo , M. Sasaki , J. Schäfer , F. Schüssler , H. M. Schutte , U. Schwanke , M. Seglar-Arroyo , M. Senniappan , A. S. Seyffert , N. Shafi , J. N. S. Shapopi , K. Shiningayamwe , R. Simoni , A. Sinha , H. Sol , A. Specovius , S. Spencer , M. Spir-Jacob , Ł. Stawarz , L. Sun , R. Steenkamp , C. Stegmann , S. Steinmassl , C. Steppa , T. Takahashi , T. Tavernier , A. M. Taylor , R. Terrier , J. H. E. Thiersen , D. Tiziani , M. Tluczykont , L. Tomankova , C. Trichard , M. Tsirou , R. Tuffs , Y. Uchiyama , D. J. van der Walt , C. van Eldik , C. van Rensburg , B. van Soelen , G. Vasileiadis , J. Veh , C. Venter , P. Vincent , J. Vink , H. J. Völk , Z. Wadiasingh , S. J. Wagner , J. Watson , F. Werner , R. White , A. Wierzcholska , Yu Wun Wong , A. Yusafzai , M. Zacharias , R. Zanin , D. Zargaryan , A. A. Zdziarski , A. Zech , S. J. Zhu , A. Zmija , J. Zorn , S. Zouari , N. Żywucka , A. Albert , R. Alfaro , C. Alvarez , J. C. Arteaga-Velázquez , K. P. Arunbabu , D. Avila Rojas , V. Baghmanyan , E. Belmont-Moreno , S. Y. BenZvi , C. Brisbois , K. S. Caballero-Mora , T. Capistrán , A. Carramiñana , S. Casanova , U. Cotti , J. Cotzomi , S. Coutiño de León , E. De la Fuente , C. de León , R. Diaz Hernandez , J. C. Díaz-Vélez , B. L. Dingus , M. A. DuVernois , M. Durocher , R. W. Ellsworth , K. Engel , C. Espinoza , K. L. Fan , M. Fernández Alonso , N. Fraija , A. Galván-Gámez , D. Garcia , J. A. García-González , F. Garfias , G. Giacinti , M. M. González , J. A. Goodman , J. P. Harding , S. Hernandez , B. Hona , D. Huang , F. Hueyotl-Zahuantitla , P. Hüntemeyer , A. Iriarte , A. Jardin-Blicq , V. Joshi , D. Kieda , W. H. Lee , H. León Vargas , J. T. Linnemann , A. L. Longinotti , G. Luis-Raya , R. López-Coto , K. Malone , O. Martinez , I. Martinez-Castellanos , J. Martínez-Castro , J. A. Matthews , P. Miranda-Romagnoli , J. A. Morales-Soto , E. Moreno , M. Mostafá , A. Nayerhoda , L. Nellen , M. Newbold , M. U. Nisa , R. Noriega-Papaqui , N. Omodei , A. Peisker , Y. Pérez Araujo , E. G. Pérez-Pérez , C. D. Rho , D. Rosa-González , E. Ruiz-Velasco , F. Salesa Greus , A. Sandoval , M. Schneider , H. Schoorlemmer , J. Serna-Franco , A. J. Smith , R. W. Springer , P. Surajbali , K. Tollefson , I. Torres , R. Torres-Escobedo , R. Turner , F. Ureña-Mena , L. Villaseñor , T. Weisgarber , E. Willox , H. Zhou