Organisation de Micro-Électronique Générale Avancée

Publications

2024

  • CPROC, a RISC-V processor demonstrator for monitoring and data processing in HEP
    • El Berni A.
    • Callier S.
    • Dinaucourt P.
    • Dulucq F.
    • Madariaga Q.
    • Sylla R.
    • Thienpont D.
    , 2025, 20 (02), pp.C02030. In High Energy Physics, ASICs are becoming more and more complex with the integration of many digital processing and monitoring structures. The next generation of System-On-Chips will require reprogrammable logic to let the user change the ASIC behavior after its fabrication. CPROC (Central Processing ReadOut Chip) is a processor demonstrator based on the RISC-V Instruction Set Architecture. It will open the era of FPGASIC with a user-defined program executed by the embedded processor. The CPROC chip was received in May 2024: an introduction to RISC-V, architectural choice and capabilities will be presented. (10.1088/1748-0221/20/02/C02030)
    DOI : 10.1088/1748-0221/20/02/C02030
  • EICROC: an ASIC to read-out the AC-LGAD sensors for the Electron-Ion Collider (EIC)
    • Verplancke A
    • Bouyjou F
    • Conforti S
    • Dulucq F
    • Extier S
    • Idzik M
    • Ky B.Y
    • de La Taille C
    • Marchand D
    • Munoz Camacho C
    • Moron J
    • Serin L
    • Seguin-Moreau N
    • Sharma A
    • Thienpont D
    • Torrento Coello A
    , 2025, 20 (04), pp.C04014. The ASIC EICROC is designed to read out the AC-LGAD detectors for the future EIC atBrookhaven National Laboratory (BNL). These detectors should combine excellent temporal (20–30 ps) and spatial (≈20 µm) resolution, enabling a newgeneration of pixel detectors with precise time measurement. Designing an ASIC to read out theAC-LGAD detectors represents a significant technological challenge.The EICROC ASICmeasures and digitizes the charge and the Time-of-Arrival (ToA) with a resolution of 25 ps, transmitting these data to the back-end electronics. The first prototype,EICROC0, was submitted using CMOS 130 nm node in 2022. (10.1088/1748-0221/20/04/C04014)
    DOI : 10.1088/1748-0221/20/04/C04014
  • HKROC: an integrated readout chip designed to facilitate the readout of a large number of photomultiplier tubes for the next generation of neutrino experiments
    • Conforti Di Lorenzo S
    • Beauchêne A
    • Bolognesi S
    • Bouyjou F
    • Carabadjac D
    • Dulucq F
    • El Berni M
    • Firlej M
    • Fiutowski T
    • Gastaldi F
    • Guilloux F
    • Idzik M
    • de La Taille C
    • Moron J
    • Nanni J
    • Quilain B
    • Rogly R
    • Swientek K
    • Thienpont D
    , 2025, 20 (02), pp.C02039. The HKROC ASIC was designed to read out Photo-Multiplier Tubes (PMTs) for next-generation neutrino experiments. These experiments are increasing in scale, with a larger number of PMTs and, consequently, a greater number of read-out channels. A highly integrated read-out system is required to facilitate construction while also meeting stringent requirements for noise, speed, and dynamic range. The HKROC ASIC was designed with 36 channels to measure the Time of Arrival (ToA) and the charge of the input signal. Working as a waveform digitizer, it measures the ToA with a resolution of 200 ps (at 1 photon-electron i.e. 1 p.e.) and the charge with a linearity of around 1% across a dynamic range of up to 1250 p.e. In this paper, we will describe the HKROC architecture, the motivation behind two successive prototypes, and the latest measurements. (10.1088/1748-0221/20/02/C02039)
    DOI : 10.1088/1748-0221/20/02/C02039
  • Space resolution measurement and threshold calibration of the iRPC detector
    • Gouzevitch M
    • Çaça E
    • Peqini K
    • Mirabito L
    • Balleyguier L
    • Galbit G
    • Tytgat M
    • Mota Amarilo K
    • Samalan A
    • Skovpen K
    • Alves G.A
    • Coelho E. Alves
    • da Silva F. Marujo
    • Filho M. Barroso Ferreira
    • da Costa E.M
    • de Jesus Damiao D
    • Ferreira B.C
    • de Souza S. Fonseca
    • Mundim L
    • Nogima H
    • Pinheiro J.P
    • Santoro A
    • Thiel M
    • de Souza R. Gomes
    • Aleksandrov A
    • Hadjiiska R
    • Iaydjiev P
    • Shopova M
    • Sultanov G
    • Dimitrov A
    • Litov L
    • Pavlov B
    • Petkov P
    • Petrov A
    • Shumka E
    • Cao P
    • Diao W
    • Gong W
    • Hou Q
    • Kou H
    • Liu Z.-A
    • Song J
    • Wang N
    • Zhao J
    • Qian S.J
    • Avila C
    • Barbosa Trujillo D.A
    • Cabrera A
    • Florez C.A
    • Vega J.A. Reyes
    • Aly R
    • Radi A
    • Assran Y
    • Crotty I
    • Mahmoud M.A
    • Chen X
    • Combaret C
    • Grenier G
    • Laktineh I.B
    • Luciol A
    • Tromeur W
    • Bagaturia I
    • Gurgenidze D
    • Kemularia O
    • Lomidze I
    • Lominadze T
    • Tsamalaidze Z
    • Amoozegar V
    • Boghrati B
    • Ebrahimi M
    • Esfandi F
    • Hosseini Y
    • Mohammadi Najafabadi M
    • Zareian E
    • Abbrescia M
    • de Filippis N
    • Iaselli G
    • Loddo F
    • Pugliese G
    • Ramos D
    • Benussi L
    • Bianco S
    • Meola S
    • Piccolo D
    • Buontempo S
    • Carnevali F
    • Lista L
    • Paolucci P
    • Fienga F
    • Braghieri A
    • Montagna P
    • Riccardi C
    • Salvini P
    • Vitulo P
    • Kim T.J
    • Asilar E
    • Ryou Y
    • Choi S
    • Hong B
    • Lee K.S
    • Goh J
    • Shin J
    • Lee Y
    • Pedraza I
    • Estrada C. Uribe
    • Castilla-Valdez H
    • Lopez-Fernandez R
    • Hernández A. Sánchez
    • García M. Ramírez
    • Guadarrama D.L. Ramirez
    • Shah M.A
    • Vazquez E
    • Zaganidis N
    • Ahmad A
    • Asghar M.I
    • Hoorani H.R
    • Muhammad S
    • Eysermans J
    • Gjevori A
    • Hyka D
    • Mitrushi D
    • Çakaj O
    • Osmanaj R
    • Callier S
    • de la Taille C
    , 2026, 1083, pp.171125. In preparation for the High-Luminosity upgrade of the LHC, the CMS Muon spectrometer is undergoing an upgrade, incorporating four new stations of improved Resistive Plate Chambers (iRPC) that will extend the pseudo-rapidity coverage to the range of 1.8 to 2.4. The iRPC chambers explore an approach of 2D readout using the readout strips with a signal collection from both sides. A dedicated Front-End Board (FEB) has been designed to read the iRPC signals and tag them in time using a high-precision Time-to-Digital Converter (TDC). This paper presents two new aspects of the FEB characterization on the test bench and the chamber. First, a precise measurement of the charge to threshold calibration for the FEB. Second, the measurement of the space resolution of the FEB on the chamber using cosmic muons. It is concluded that the FEB on the chamber can operate with a threshold around 40fC, an absolute space resolution between 0.5–1.5cm, and an absolute time resolution of 500ps. (10.1016/j.nima.2025.171125)
    DOI : 10.1016/j.nima.2025.171125
  • HKROC: An integrated front-end ASIC to read out photomultiplier tubes for large neutrino experiments
    • Dulucq Frederic
    • Beauchêne Antoine
    • Bolognesi Sara
    • Bouyjou Florent
    • Carabadjac Denis
    • Conforti Di Lorenzo Selma
    • Firlej Miroslaw
    • Fiutowski Tomasz
    • Gastaldi Franck
    • Guilloux Fabrice
    • Idzik Marek
    • de La Taille Christophe
    • Moron Jakub
    • Nanni Jerome
    • Quilain Benjamin
    • Rogly Rudolph
    • Swientek Krzysztof
    • Thienpont Damien
    , 2025, 320, pp.00037. The HKROC ASIC was originally designed to read out the photomultiplier tubes (PMTs) for the Hyper-Kamiokande (HK) experiment. HKROC is a very innovative ASIC capable to read out a large number of channels satisfying stringent requirements in terms of noise, speed and dynamic range. Each HKROC channel features a low-noise preamplifier and shapers, a 10-bit successive approximation Analog-to-Digital Converter (SAR-ADC) for the charge measurement (up to 2500 pC) and a Time-to-Digital Converter (TDC) for the Time-of-Arrival (ToA) measurement with 25 ps binning. HKROC is auto-triggered and includes all necessary ancillary services as bandgap circuit, PLL (Phase-locked loop) and threshold DACs (Digital to Analog Converters). This presentation will describe the ASIC architecture and the experimental results of the last prototype received in January 2022. (10.1051/epjconf/202532000037)
    DOI : 10.1051/epjconf/202532000037
  • Design and characterization of readout ASICs for SiPM detectors in pico-second timing measurements for the CMS HGCAL experiment
    • González Martínez José
    , 2024. The HGCROC ASICs are dedicated very front-end electronics designed to read out the High Granularity Calorimeter (HGCAL), which will replace the current end-cap calorimeters of the Large Hadron Collider (LHC) for the Compact Muon Solenoid collaboration (CMS). This work emphasizes the specific features of the HGCAL design that influenced the Silicon Photo Multiplier (SiPM) readout ASIC design.H2GCROC is a 130nm CMOS ASIC designed to read out the SiPMs coupled to the scintillating tiles of the back hadronic sections of CMS HGCAL. The front-end preamplifier inside the chip is tailored for the SiPM's higher signal level, anticipating pC per Minimum Ionizing Particle (MIP) instead of fC/MIP ranges. This thesis presents the ASIC architecture and its characterization in the lab and test beam. It demonstrates good adaptability in calibration, radiation tolerance, and the ability to measure SiPM single-photon-spectrum and MIP's energy with high resolution. This work also illustrates the improvements proposed, developed, and tested from the second to the third printed version of the ASIC and the future changes of the following and last ASIC version.
  • ELVES Measurements in the “UV Atmosphere” (Mini-EUSO) Experiment Onboard the ISS and Their Reconstruction
    • Sharakin S
    • Barghini D
    • Battisti M
    • Belov A
    • Bertaina M
    • Bianciotto M
    • Bisconti F
    • Blaksley C
    • Blin S
    • Cambiè G
    • Capel F
    • Casolino M
    • Ebisuzaki T
    • Eser J
    • Fenu F
    • Franceschi M.A
    • Golzio A
    • Gorodetsky P
    • Kajino F
    • Kasuga H
    • Klimov P
    • Manfrin M
    • Marcelli L
    • Marszal W
    • Miyamoto H
    • Mignone M
    • Murashov A
    • Napolitano T
    • Ohmori H
    • Olinto A
    • Parizot E
    • Picozza P
    • Piotrowski L.W
    • Plebaniak Z
    • Prévôt G
    • Reali E
    • Ricci M
    • Romoli G
    • Sakaki N
    • Shinozaki K
    • Szabelski J
    • de la Taille C
    • Takizawa Y
    • Vrábel M
    • Wiencke L
    • Zotov M
    Cosmic Res., 2024, 62 (4), pp.330-338. More than three dozen submillisecond events of ELVES type ("elves"), which are the result of the interaction of the front of an electromagnetic pulse from a lightning discharge and the lower layer of the ionosphere, have been identified in the data of a UV Atmosphere orbital multichannel detector (Mini-EUSO). Each event has a characteristic annular glow pattern and occupies a significant part of the detector's field of view, and the signal in a separate channel has an asymmetric profile with a pronounced peak. The distribution of peak times contains information about both the localization of the discharge and the altitude of the glow. In this paper, we propose a Bayesian (probabilistic) model for reconstructing ELVES events, implemented using probabilistic programming methods in PyMC-5. The capabilities of the model for determining the position of the discharge are shown using the example of several events. Methods for modifying the model to restore the discharge orientation and refine the glow height are outlined. (10.1134/s0010952524600379)
    DOI : 10.1134/s0010952524600379
  • EUSO-Offline: A comprehensive simulation and analysis framework
    • Abe S
    • Adams J.H
    • Allard D
    • Alldredge P
    • Aloisio R
    • Anchordoqui L
    • Anzalone A
    • Arnone E
    • Baret B
    • Barghini D
    • Battisti M
    • Bellotti R
    • Belov A.A
    • Bertaina M
    • Bertone P.F
    • Bianciotto M
    • Bisconti F
    • Blaksley C
    • Blin-Bondil S
    • Bolmgren K
    • Briz S
    • Burton J
    • Cafagna F
    • Cambié G
    • Campana D
    • Capel F
    • Caruso R
    • Casolino M
    • Cassardo C
    • Castellina A
    • Černý K
    • Christl M.J
    • Colalillo R
    • Conti L
    • Cotto G
    • Crawford H.J
    • Cremonini R
    • Creusot A
    • Cummings A
    • de Castro Gónzalez A
    • de la Taille C
    • Diesing R
    • Dinaucourt P
    • Di Nola A
    • Ebisuzaki T
    • Eser J
    • Falk S
    • Fenu F
    • Ferrarese S
    • Filippatos G
    • Finch W.W
    • Flaminio F
    • Fornaro C
    • Fouka M
    • Fuehne D
    • Fuglesang C
    • Fukushima M
    • Gardiol D
    • Garipov G.K
    • Golzio A
    • Gorodetzky P
    • Guarino F
    • Guépin C
    • Haungs A
    • Heibges T
    • Isgrò F
    • Judd E.G
    • Kajino F
    • Kaneko I
    • Kim S.-W
    • Klimov P.A
    • Krizmanic J.F
    • Kungel V
    • Kuznetsov E
    • Martínez F. López
    • Mandát D
    • Manfrin M
    • Marcelli A
    • Marcelli L
    • Marszał W
    • Matthews J.N
    • Mese M
    • Meyer S.S
    • Mimouni J
    • Miyamoto H
    • Mizumoto Y
    • Monaco A
    • Nagataki S
    • Nachtman J.M
    • Naumov D
    • Neronov A
    • Nonaka T
    • Ogawa T
    • Ogio S
    • Ohmori H
    • Olinto A.V
    • Onel Y
    • Osteria G
    • Pagliaro A
    • Panico B
    • Parizot E
    • Park I.H
    • Paul T
    • Pech M
    • Perfetto F
    • Picozza P
    • Piotrowski L.W
    • Plebaniak Z
    • Posligua J
    • Prevete R
    • Prévôt G
    • Przybylak M
    • Reali E
    • Reardon P
    • Reno M.H
    • Ricci M
    • Romoli G
    • Sagawa H
    • Sahnoune Z
    • Sakaki N
    • Saprykin O.A
    • Sarazin F
    • Sato M
    • Schovánek P
    • Scotti V
    • Selman S
    • Sharakin S.A
    • Shinozaki K
    • Soriano J.F
    • Szabelski J
    • Tajima N
    • Tajima T
    • Takahashi Y
    • Takeda M
    • Takizawa Y
    • Thomas S.B
    • Tkachev L.G
    • Tomida T
    • Toscano S
    • Traïche M
    • Trofimov D
    • Tsuno K
    • Unger M
    • Vallania P
    • Valore L
    • Venters T.M
    • Vigorito C
    • Vrabel M
    • Wada S
    • Watts J
    • Wiencke L
    • Winn D
    • Wistrand H
    • Yashin I.V
    • Young R
    • Zotov M.Yu
    Journal of Instrumentation, IOP Publishing, 2024, 19 (01), pp.P01007. The complexity of modern cosmic ray observatories and therich data sets they capture often require a sophisticated softwareframework to support the simulation of physical processes, detectorresponse, as well as reconstruction and analysis of real andsimulated data. Here we present the EUSO-Offline framework. Thecode base was originally developed by the Pierre AugerCollaboration, and portions of it have been adopted by othercollaborations to suit their needs. We have extended this softwareto fulfill the requirements of Ultra-High Energy Cosmic Raydetectors and very high energy neutrino detectors developed for theJoint Exploratory Missions for an Extreme Universe Observatory(JEM-EUSO). These path-finder instruments constitute a program tochart the path to a future space-based mission like POEMMA. Forcompleteness, we describe the overall structure of the frameworkdeveloped by the Auger collaboration and continue with a descriptionof the JEM-EUSO simulation and reconstruction capabilities. Theframework is written predominantly in modern C++ (compliled againstC++17) and incorporates third-party libraries chosen based onfunctionality and our best judgment regarding support andlongevity. Modularity is a central notion in the framework design, arequirement for large collaborations in which many individualscontribute to a common code base and often want to compare differentapproaches to a given problem. For the same reason, the framework isdesigned to be highly configurable, which allows us to contend witha variety of JEM-EUSO missions and observation scenarios. We alsodiscuss how we incorporate broad, industry-standard testing coveragewhich is necessary to ensure quality and maintainability of arelatively large code base, and the tools we employ to support amultitude of computing platforms and enable fast, reliableinstallation of external packages. Finally, we provide a fewexamples of simulation and reconstruction applications usingEUSO-Offline. (10.1088/1748-0221/19/01/P01007)
    DOI : 10.1088/1748-0221/19/01/P01007
  • Searches for neutrino counterparts of gravitational waves from the LIGO/Virgo third observing run with KM3NeT
    • Aiello S
    • Albert A
    • Garre S. Alves
    • Aly Z
    • Ambrosone A
    • Ameli F
    • Andre M
    • Androutsou E
    • Anguita M
    • Aphecetche L
    • Ardid M
    • Ardid S
    • Atmani H
    • Aublin J
    • Bailly-Salins L
    • Bardačová Z
    • Baret B
    • Bariego-Quintana A
    • Pree S. Basegmez Du
    • Becherini Y
    • Bendahman M
    • Benfenati F
    • Benhassi M
    • Benoit D.M
    • Berbee E
    • Bertin V
    • Biagi S
    • Boettcher M
    • Bonanno D
    • Boumaaza J
    • Bouta M
    • Bouwhuis M
    • Bozza C
    • Bozza R.M
    • Brânzaş H
    • Bretaudeau F
    • Bruijn R
    • Brunner J
    • Bruno R
    • Buis E
    • Buompane R
    • Busto J
    • Caiffi B
    • Calvo D
    • Campion S
    • Capone A
    • Carenini F
    • Carretero V
    • Cartraud T
    • Castaldi P
    • Cecchini V
    • Celli S
    • Cerisy L
    • Chabab M
    • Chadolias M
    • Chen A
    • Cherubini S
    • Chiarusi T
    • Circella M
    • Cocimano R
    • Coelho J.A.B
    • Coleiro A
    • Coniglione R
    • Coyle P
    • Creusot A
    • Cuttone G
    • Dallier R
    • Darras Y
    • de Benedittis A
    • de Martino B
    • de Wasseige G
    • Decoene V
    • del Burgo R
    • del Rosso I
    • Di Cerbo U.M
    • Di Mauro L.S
    • Di Palma I
    • Díaz A.F
    • Diaz C
    • Diego-Tortosa D
    • Distefano C
    • Domi A
    • Donzaud C
    • Dornic D
    • Dörr M
    • Drakopoulou E
    • Drouhin D
    • Dvornický R
    • Eberl T
    • Eckerová E
    • Eddymaoui A
    • van Eeden T
    • Eff M
    • van Eijk D
    • Bojaddaini I. El
    • El Hedri S
    • Enzenhöfer A
    • Ferrara G
    • Filipović M.D
    • Filippini F
    • Franciotti D
    • Fusco L.A
    • Gabriel J
    • Gagliardini S
    • Gal T
    • Méndez J. García
    • Garcia Soto A
    • Oliver C. Gatius
    • Geißelbrecht N
    • Ghaddari H
    • Gialanella L
    • Gibson B.K
    • Giorgio E
    • Goos I
    • Goswami P
    • Goupilliere D
    • Gozzini S.R
    • Gracia R
    • Graf K
    • Guidi C
    • Guillon B
    • Gutiérrez M
    • van Haren H
    • Heijboer A
    • Hekalo A
    • Hennig L
    • Hernández-Rey J.J
    • Ibnsalih W. Idrissi
    • Illuminati G
    • de Jong M
    • de Jong P
    • Jung B.J
    • Kalaczyński P
    • Kalekin O
    • Katz U.F
    • Khatun A
    • Kistauri G
    • Kopper C
    • Kouchner A
    • Kueviakoe V
    • Kulikovskiy V
    • Kvatadze R
    • Labalme M
    • Lahmann R
    • Lamoureux M
    • Larosa G
    • Lastoria C
    • Lazo A
    • Stum S. Le
    • Lehaut G
    • Leonora E
    • Lessing N
    • Levi G
    • Clark M. Lindsey
    • Longhitano F
    • Majumdar J
    • Malerba L
    • Mamedov F
    • Mańczak J
    • Manfreda A
    • Marconi M
    • Margiotta A
    • Marinelli A
    • Markou C
    • Martin L
    • Martínez-Mora J.A
    • Marzaioli F
    • Mastrodicasa M
    • Mastroianni S
    • Miccichè S
    • Miele G
    • Migliozzi P
    • Migneco E
    • Mitsou M.L
    • Mollo C.M
    • Morales-Gallegos L
    • Morga M
    • Moussa A
    • Mateo I. Mozun
    • Muller R
    • Musone M.R
    • Musumeci M
    • Navas S
    • Nayerhoda A
    • Nicolau C.A
    • Nkosi B
    • Fearraigh B.Ó
    • Oliviero V
    • Orlando A
    • Oukacha E
    • Paesani D
    • Palacios González J
    • Papalashvili G
    • Parisi V
    • Gomez E.J. Pastor
    • Păun A.M
    • Păvălaş G.E
    • Martínez S. Peña
    • Perrin-Terrin M
    • Perronnel J
    • Pestel V
    • Pestes R
    • Piattelli P
    • Poirè C
    • Popa V
    • Pradier T
    • Prado J
    • Pulvirenti S
    • Quéméner G
    • Quiroz-Rangel C.A
    • Rahaman U
    • Randazzo N
    • Randriatoamanana R
    • Razzaque S
    • Rea I.C
    • Real D
    • Riccobene G
    • Robinson J
    • Romanov A
    • Šaina A
    • Salesa Greus F
    • Samtleben D.F.E
    • Sánchez Losa A
    • Sanfilippo S
    • Sanguineti M
    • Santonastaso C
    • Santonocito D
    • Sapienza P
    • Schnabel J
    • Schumann J
    • Schutte H.M
    • Seneca J
    • Sennan N
    • Setter B
    • Sgura I
    • Shanidze R
    • Sharma A
    • Shitov Y
    • Šimkovic F
    • Simonelli A
    • Sinopoulou A
    • Smirnov M.V
    • Spisso B
    • Spurio M
    • Stavropoulos D
    • Štekl I
    • Taiuti M
    • Tayalati Y
    • Thiersen H
    • Melo I. Tosta E
    • Tragia E
    • Trocmé B
    • Tsourapis V
    • Tzamariudaki E
    • Vacheret A
    • Melchor A. Valer
    • Valsecchi V
    • van Elewyck V
    • Vannoye G
    • Vasileiadis G
    • de Sola F. Vazquez
    • Verilhac C
    • Veutro A
    • Viola S
    • Vivolo D
    • Wilms J
    • de Wolf E
    • Yepes-Ramirez H
    • Zarpapis G
    • Zavatarelli S
    • Zegarelli A
    • Zito D
    • Zornoza J.D
    • Zúñiga J
    • Zywucka N
    JCAP, 2024, 04, pp.026. The KM3NeT neutrino telescope is currently being deployed at two different sites in the Mediterranean Sea. First searches for astrophysical neutrinos have been performed using data taken with the partial detector configuration already in operation. The paper presents the results of two independent searches for neutrinos from compact binary mergers detected during the third observing run of the LIGO and Virgo gravitational wave interferometers. The first search looks for a global increase in the detector counting rates that could be associated with inverse beta decay events generated by MeV-scale electron anti-neutrinos. The second one focuses on upgoing track-like events mainly induced by muon (anti-)neutrinos in the GeV--TeV energy range. Both searches yield no significant excess for the sources in the gravitational wave catalogs. For each source, upper limits on the neutrino flux and on the total energy emitted in neutrinos in the respective energy ranges have been set. Stacking analyses of binary black hole mergers and neutron star-black hole mergers have also been performed to constrain the characteristic neutrino emission from these categories. (10.1088/1475-7516/2024/04/026)
    DOI : 10.1088/1475-7516/2024/04/026
  • Observation of meteors from space with the Mini-EUSO detector on board the International Space Station
    • Barghini D
    • Battisti M
    • Belov A
    • Bertaina M
    • Bertone S
    • Bisconti F
    • Blaksley C
    • Blin S
    • Bolmgren K
    • Cambiè G
    • Capel F
    • Casolino M
    • Cellino A
    • Churilo I
    • Coretti A.G
    • Crisconio M
    • de la Taille C
    • Ebisuzaki T
    • Eser J
    • Fenu F
    • Filippatos G
    • Franceschi M.A
    • Fuglesang C
    • Gardiol D
    • Golzio A
    • Gorodetzky P
    • Kajino F
    • Kasuga H
    • Klimov P
    • Kungel V
    • Kuznetsov V
    • Manfrin M
    • Marcelli L
    • Mascetti G
    • Marszał W
    • Mignone M
    • Miyamoto H
    • Murashov A
    • Napolitano T
    • Ohmori H
    • Olinto A
    • Parizot E
    • Picozza P
    • Piotrowski L.W
    • Plebaniak Z
    • Prévôt G
    • Reali E
    • Reynaud F
    • Ricci M
    • Romoli G
    • Sakaki N
    • Sharakin S
    • Shinozaki K
    • Szabelski J
    • Takizawa Y
    • Vagelli V
    • Valentini G
    • Vrabel M
    • Wiencke L
    • Zotov M
    Astronomy & Astrophysics - A&A, EDP Sciences, 2024, 687, pp.A304. <jats:p><jats:italic>Context</jats:italic>. Observations of meteors in the Earth’s atmosphere offer a unique tool for determining the flux of meteoroids that are too small to be detected by direct telescopic observations. Although these objects are routinely observed from ground-based facilities, such as meteor and fireball networks, space-based instruments come with notable advantages and have the potential to achieve a broad and uniform exposure.</jats:p> <jats:p><jats:italic>Aims</jats:italic>. In this paper, we describe the first observations of meteor events with Mini-EUSO, a very wide field-of-view telescope launched in August 2019 from the Baikonur cosmodrome and installed on board the Russian Zvezda module of the International Space Station. Mini-EUSO can map the night-time Earth in the near-UV range (290-130 nm) with a field of view equal to 44° × 44° and a spatial resolution of about 4.7 km at an altitude of 100 km from the ground. The detector saves triggered transient phenomena with a sampling frequency of 2.5 µs and 320 µs, as well as a continuous acquisition at 40.96 ms scale that is suitable for meteor observations.</jats:p> <jats:p><jats:italic>Methods</jats:italic>. We designed two dedicated and complementary trigger methods, together with an analysis pipeline able to estimate the main physical parameters of the observed population of meteors, such as the duration, horizontal speed, azimuth, and absolute magnitude. To compute the absolute flux of meteors from Mini-EUSO observations, we implemented a simulation framework able to estimate the detection efficiency as a function of the meteor magnitude and the background illumination conditions.</jats:p> <jats:p><jats:italic>Results</jats:italic>. The instrument detected 24 thousand meteors within the first 40 data-taking sessions from November 2019 to August 2021, for a total observation time of approximately 6 days with a limiting absolute magnitude of +6. Our estimation of the absolute flux density of meteoroids in the range of mass between 10<jats:sup>−5</jats:sup> kg to 10<jats:sup>−1</jats:sup> kg was found to be comparable to other results available in the literature.</jats:p> <jats:p><jats:italic>Conclusions</jats:italic>. The results of this work prove the potential for space-based observations to increase the statistics of meteor observations achievable with instruments operating on the ground. The slope of the mass distribution of meteoroids sampled with Mini-EUSO suggests a mass index of either <jats:italic>s</jats:italic> = 2.09 ± 0.02 or <jats:italic>s</jats:italic> = 2.31 ± 0.03, according to two different methodologies for the computation of the pre-atmospheric mass starting from the luminosity of each event.</jats:p> (10.1051/0004-6361/202449236)
    DOI : 10.1051/0004-6361/202449236
  • Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter
    • Aamir M
    • Acar B
    • Adamov G
    • Adams T
    • Adloff C
    • Afanasiev S
    • Agrawal C
    • Agrawal C
    • Ahmad A
    • Ahmed H.A
    • Akbar S
    • Akchurin N
    • Akgul B
    • Akgun B
    • Akpinar R.O
    • Aktas E
    • Al Kadhim A
    • Alexakhin V
    • Alimena J
    • Alison J
    • Alpana A
    • Alshehri W
    • Alvarez Dominguez P
    • Alyari M
    • Amendola C
    • Amir R.B
    • Andersen S.B
    • Andreev Y
    • Antoszczuk P.D
    • Aras U
    • Ardila L
    • Aspell P
    • Avila M
    • Awad I
    • Aydilek O
    • Azimi Z
    • Aznar Pretel A
    • Bach O.A
    • Bainbridge R
    • Bakshi A
    • Bam B
    • Banerjee S
    • Barney D
    • Bayraktar O
    • Beaudette F
    • Beaujean F
    • Becheva E
    • Behera P.K
    • Belloni A
    • Bergauer T
    • Besancon M
    • Bessidskaia Bylund O
    • Bhatt L
    • Bhowmil D
    • Blekman F
    • Blinov P
    • Bloch P
    • Bodek A
    • Boger A
    • Bonnemaison A
    • Bouyjou F
    • Brennan L
    • Brondolin E
    • Brusamolino A
    • Bubanja I
    • Buchot Perraguin A
    • Bunin P
    • Burazin Misura A
    • Butler-Nalin A
    • Cakir A
    • Callier S
    • Campbell S
    • Canderan K
    • Cankocak K
    • Cappati A
    • Caregari S
    • Carron S
    • Carty C
    • Cauchois A
    • Ceard L
    • Cerci S
    • Chang P.J
    • Chatterjee R.M
    • Chatterjee S
    • Chattopadhyay P
    • Chatzistavrou T
    • Chaudhary M.S
    • Chauhan A
    • Chen J
    • Chen J
    • Chen Y
    • Cheng K
    • Cheung H
    • Chhikara J
    • Chiron A
    • Chiusi M
    • Chokheli D
    • Chudasama R
    • Clement E
    • Coco Mendez S
    • Coko D
    • Coskun K
    • Couderc F
    • Crossman B
    • Cui Z
    • Cuisset T
    • Cummings G
    • Curtis E.M
    • d'Alfonso M
    • Dhlerball J
    • Dadazhanova O
    • Damgov J
    • Das I
    • das Gupta S
    • Dauncey P
    • David Tinoco Mendes A
    • Davies G
    • Davignon O
    • de Barbaro P
    • de Silva M
    • de la Taille C
    • de Wit A
    • Debbins P
    • Defranchis M.M
    • Delagnes E
    • Devouge P
    • Dewangan C
    • Diguglielmo G
    • Diehl L
    • Dilsiz K
    • Dincer G.G
    • Dittmann J
    • Dragicevic M
    • Du D
    • Dubinchik B
    • Dugad S
    • Dulucq F
    • Dumanoglu I
    • Duran B
    • Dutta S
    • Dutta V
    • Dychkant A
    • Dünser M
    • Edberg T
    • Ehle I.T
    • El Berni A
    • Elias F
    • Eno S.C
    • Erdogan E.N
    • Erkmen B
    • Ershov Y
    • Ertorer E.Y
    • Extier S
    • Eychenne L
    • Fedar Y.E
    • Fedi G
    • Figueiredo de Sá Sousa de Almeida J.P
    • Fontana Santos Alves B.A
    • Frahm E
    • Francis K
    • Freeman J
    • French T
    • Gaede F
    • Gandhi P.K
    • Ganjour S
    • Garcia-Bellido A
    • Gastaldi F
    • Gazi L
    • Gecse Z
    • Gerwig H
    • Gevin O
    • Ghosh Saranya Samik
    • Ghosh Shamik
    • Gill K
    • Gleyzer S
    • Godinovic N
    • Goek M
    • Goettlicher P
    • Goff R
    • Golunov A
    • Gonultas B
    • González Martínez J.D
    • Gorbounov N
    • Gouskos L
    • Gray A
    • Gray L
    • Grieco C
    • Groenroos S
    • Groner D
    • Gruber A
    • Grummer A
    • Grönroos S
    • Guilloux F
    • Guler Y
    • Gungordu A.D
    • Guo J
    • Guo K
    • Gurpinar Guler E
    • Gutti H.K
    • Guvenli A.A
    • Gülmez E
    • Hacisahinoglu B
    • Halkin Y
    • Hamilton Ilha Machado G
    • Hare H.S
    • Hatakeyama K
    • Heering A.H
    • Hegde V
    • Heintz U
    • Hinton N
    • Hinzmann A
    • Hirschauer J
    • Hitlin D
    • Hos İ
    • Hou B
    • Hou X
    • Howard A
    • Howe C
    • Hsieh H
    • Hsu T
    • Hua H
    • Hummer F
    • Imran M
    • Incandela J
    • Iren E
    • Isildak B
    • Jackson P.S
    • Jackson W.J
    • Jain S
    • Jana P
    • Jaroslavceva J
    • Jena S
    • Jige A
    • Jordano P.P
    • Joshi U
    • Kaadze K
    • Kafizov A
    • Kalipoliti L
    • Kallil Tharayil A
    • Kaluzinska O
    • Kamble S
    • Kaminskiy A
    • Kanemura M
    • Kanso H
    • Kao Y
    • Kapic A
    • Kapsiak C
    • Karjavine V
    • Karmakar S
    • Karneyeu A
    • Kaya M
    • Kayis Topaksu A
    • Kaynak B
    • Kazhykarim Y
    • Khan F.A
    • Khudiakov A
    • Kieseler J
    • Kim R.S
    • Klijnsma T
    • Kloiber E.G
    • Klute M
    • Kocak Z
    • Kodali K.R
    • Koetz K
    • Kolberg T
    • Kolcu O.B
    • Komaragiri J.R
    • Komm M
    • Peñaló Castillo K
    • Krause H.A
    • Krawczyk M.A
    • Krishnaswamy Vinayakam T.R
    • Kristiansen K
    • Kristic A
    • Krohn M
    • Kronheim B
    • Krüger K
    • Kudtarkar C
    • Kulis S
    • Kumar M
    • Kumar N
    • Kumar S
    • Kumar Verma R
    • Kunori S
    • Kunts A
    • Kuo C
    • Kurenkov A
    • Kuryatkov V
    • Kyre S
    • Ladenson J
    • Lamichhane K
    • Landsberg G
    • Langford J
    • Laudrain A
    • Laughlin R
    • Lawhorn J
    • Le Dortz O
    • Lee S.W
    • Lektauers A
    • Lelas D
    • Leon M
    • Levchuk L
    • Li A.J
    • Li J
    • Li Y
    • Liang Z
    • Liao H
    • Lin K
    • Lin W
    • Lin Z
    • Lincoln D
    • Linssen L
    • Litomin A
    • Liu G
    • Liu Y
    • Lobanov A
    • Lohezic V
    • Loiseau T
    • Lu C
    • Lu R
    • Lu S.Y
    • Lukens P
    • Mackenzie M
    • Magnan A
    • Magniette F
    • Mahjoub A
    • Mahon D
    • Majumder G
    • Makarenko V
    • Malakhov A
    • Malgeri L
    • Mallios S
    • Mandloi C
    • Mankel A
    • Mannelli M
    • Mans J
    • Mantilla C
    • Martinez G
    • Massa C
    • Masterson P
    • Matthewman M
    • Matveev V
    • Mayekar S
    • Mazlov I
    • Mehta A
    • Mestvirishvili A
    • Miao Y
    • Milella G
    • Mirza I.R
    • Mitra P
    • Moccia S
    • Mohanty G.B
    • Monti F
    • Moortgat F
    • Murthy S
    • Music J
    • Musienko Y
    • Nabili S
    • Nayak S
    • Nelson J.W
    • Nema A
    • Neutelings I
    • Niedziela J
    • Nikitenko A
    • Noonan D
    • Noy M
    • Nurdan K
    • Obraztsov S
    • Ochando C
    • Ogul H
    • Olsson J
    • Onel Y
    • Ozkorucuklu S
    • Paganis E
    • Palit P
    • Pan R
    • Pandey S
    • Pantaleo F
    • Papageorgakis C
    • Paramesvaran S
    • Paranjpe M.M
    • Parolia S
    • Parsons A.G
    • Parygin P
    • Paulini M
    • Paus C
    • Peñaló K
    • Pedro K
    • Pekic V
    • Peltola T
    • Peng B
    • Perego A
    • Perini D
    • Petrilli A
    • Pham H
    • Pierre-Emile T
    • Podem S.K
    • Popov V
    • Portales L
    • Potok O
    • Pradeep P.B
    • Pramanik R
    • Prosper H
    • Prvan M
    • Qasim S.R
    • Qu H
    • Quast T
    • Quiroga Trivio A
    • Rabour L
    • Raicevic N
    • Rajpoot H
    • Rao M.A
    • Rapacz K
    • Redjeb W
    • Reinecke M
    • Revering M
    • Roberts A
    • Rohlf J
    • Rosado P
    • Rose A
    • Rothman S
    • Rout P.K
    • Rovere M
    • Rumerio P
    • Rusack R
    • Rygaard L
    • Ryjov V
    • Sadivnycha S
    • Sahin M.Ö
    • Sakarya U
    • Salerno R
    • Saradhy R
    • Saraf M
    • Sarbandi K
    • Sarkisla M.A
    • Satyshev I
    • Saud N
    • Sauvan J
    • Schindler G
    • Schmidt A
    • Schmidt I
    • Schmitt M.H
    • Sculac A
    • Sculac T
    • Sedelnikov A
    • Seez C
    • Sefkow F
    • Selivanova D
    • Selvaggi M
    • Sergeychik V
    • Sert H
    • Shahid M
    • Sharma P
    • Sharma R
    • Sharma S
    • Shelake M
    • Shenai A
    • Shih C.W
    • Shinde R
    • Shmygol D
    • Shukla R
    • Sicking E
    • Silva P
    • St Jacques R
    • Simsek C
    • Simsek E
    • Sirasva B.K
    • Sirois Y
    • Song S
    • Song Y
    • Soudais G
    • Sriram S
    • Stahl Leiton A
    • Steen A
    • Stein J
    • Strait J
    • Strobbe N
    • Su X
    • Sukhov E
    • Suleiman A
    • Sunar Cerci D
    • Suryadevara P
    • Swain K
    • Syal C
    • Tali B
    • Tanay K
    • Tang W
    • Tanvir A
    • Tao J
    • Tarabini A
    • Tatli T
    • Taylor R
    • Taysi Z.C
    • Teafoe G
    • Tee C.Z
    • Terrill W
    • Thienpont D
    • Thomas R
    • Titov M
    • Todd C
    • Todd E
    • Toms M
    • Tosun A
    • Troska J
    • Tsai L
    • Tsamalaidze Z
    • Tsionou D
    • Tsipolitis G
    • Tsirigoti M
    • Tu R
    • Tural Polat S.N
    • Undleeb S
    • Usai E
    • Uslan E
    • Ustinov V
    • Vernazza E
    • Viahin O
    • Viazlo O
    • Vichoudis P
    • Vijay A
    • Virdee T
    • Voirin E
    • Vojinovic M
    • Voytishin N
    • Vámi T.Á
    • Wade A
    • Walter D
    • Wang C
    • Wang F
    • Wang J
    • Wang K
    • Wang X
    • Wang X
    • Wang Y
    • Wang Z
    • Wanlin E
    • Wayne M
    • Wetzel J
    • Whitbeck A
    • Wickwire R
    • Wilmot D
    • Wilson J
    • Wu H
    • Xiao M
    • Yang J
    • Yazici B
    • Ye Y
    • Yetkin T
    • Yi R
    • Yohay R
    • Yu T
    • Yuan C
    • Yuan X
    • Yuksel O
    • Yushmanov I
    • Yusuff I
    • Zabi A
    • Zareckis D
    • Zarubin A
    • Zehetner P
    • Zghiche A
    • Zhang C
    • Zhang D
    • Zhang H
    • Zhang J
    • Zhang J
    • Zhang Z
    • Zhao X
    • Zhong J
    • Zhou Y
    • Zorbilmez Ç
    JINST, 2024, 19 (11), pp.P11025. A novel method to reconstruct the energy of hadronic showers in the CMS High Granularity Calorimeter (HGCAL) is presented. The HGCAL is a sampling calorimeter with very fine transverse and longitudinal granularity. The active media are silicon sensors and scintillator tiles readout by SiPMs and the absorbers are a combination of lead and Cu/CuW in the electromagnetic section, and steel in the hadronic section. The shower reconstruction method is based on graph neural networks and it makes use of a dynamic reduction network architecture. It is shown that the algorithm is able to capture and mitigate the main effects that normally hinder the reconstruction of hadronic showers using classical reconstruction methods, by compensating for fluctuations in the multiplicity, energy, and spatial distributions of the shower's constituents. The performance of the algorithm is evaluated using test beam data collected in 2018 prototype of the CMS HGCAL accompanied by a section of the CALICE AHCAL prototype. The capability of the method to mitigate the impact of energy leakage from the calorimeter is also demonstrated. (10.1088/1748-0221/19/11/P11025)
    DOI : 10.1088/1748-0221/19/11/P11025
  • EUSO-SPB1 mission and science
    • Abdellaoui G
    • Abe S
    • Adams J.H
    • Allard D
    • Alonso G
    • Anchordoqui L
    • Anzalone A
    • Arnone E
    • Asano K
    • Attallah R
    • Attoui H
    • Pernas M. Ave
    • Bachmann R
    • Bacholle S
    • Bagheri M
    • Bakiri M
    • Baláz J
    • Barghini D
    • Bartocci S
    • Battisti M
    • Bayer J
    • Beldjilali B
    • Belenguer T
    • Belkhalfa N
    • Bellotti R
    • Belov A.A
    • Benmessai K
    • Bertaina M
    • Bertone P.F
    • Biermann P.L
    • Bisconti F
    • Blaksley C
    • Blanc N
    • Blin-Bondil S
    • Bobik P
    • Bogomilov M
    • Bolmgren K
    • Bozzo E
    • Briz S
    • Bruno A
    • Caballero K.S
    • Cafagna F
    • Cambié G
    • Campana D
    • Capdevielle J.N
    • Capel F
    • Caramete A
    • Caramete L
    • Caruso R
    • Casolino M
    • Cassardo C
    • Castellina A
    • Catalano O
    • Cellino A
    • Černý K
    • Chikawa M
    • Chiritoi G
    • Christl M.J
    • Colalillo R
    • Conti L
    • Cotto G
    • Crawford H.J
    • Cremonini R
    • Creusot A
    • Cummings A
    • de Castro Gónzalez A
    • de la Taille C
    • del Peral L
    • Desiato J
    • Diaz Damian A
    • Diesing R
    • Dinaucourt P
    • Djakonow A
    • Djemil T
    • Ebersoldt A
    • Ebisuzaki T
    • Eser J
    • Fenu F
    • Fernández-González S
    • Ferrarese S
    • Filippatos G
    • Finch W
    • Fornaro C
    • Fouka M
    • Franceschi A
    • Franchini S
    • Fuglesang C
    • Fujii T
    • Fukushima M
    • Galeotti P
    • García-Ortega E
    • Gardiol D
    • Garipov G.K
    • Gascón E
    • Gazda E
    • Genci J
    • Golzio A
    • Gorodetzky P
    • Gregg R
    • Green A
    • Guarino F
    • Guépin C
    • Guzmán A
    • Hachisu Y
    • Haungs A
    • Heigbes T
    • Carretero J. Hernández
    • Hulett L
    • Ikeda D
    • Inoue N
    • Inoue S
    • Isgrò F
    • Itow Y
    • Jammer T
    • Jeong S
    • Jochum J
    • Joven E
    • Judd E.G
    • Jung A
    • Kajino F
    • Kajino T
    • Kalli S
    • Kaneko I
    • Kasztelan M
    • Katahira K
    • Kawai K
    • Kawasaki Y
    • Kedadra A
    • Khales H
    • Khrenov B.A
    • Kim Jeong-Sook
    • Kim Soon-Wook
    • Kleifges M
    • Klimov P.A
    • Kreykenbohm I
    • Krizmanic J.F
    • Królik K
    • Kungel V
    • Kurihara Y
    • Kusenko A
    • Kuznetsov E
    • Lahmar H
    • Lakhdari F
    • Licandro J
    • Campano L. López
    • Martínez F. López
    • Mackovjak S
    • Mahdi M
    • Mandát D
    • Manfrin M
    • Marcelli L
    • Marcos J.L
    • Marszał W
    • Martín Y
    • Martinez O
    • Mase K
    • Mastafa M
    • Matthews J.N
    • Mebarki N
    • Medina-Tanco G
    • Menshikov A
    • Merino A
    • Mese M
    • Meseguer J
    • Meyer S.S
    • Mimouni J
    • Miyamoto H
    • Mizumoto Y
    • Monaco A
    • de los Ríos J.A. Morales
    • Nachtman J.M
    • Nagataki S
    • Naitamor S
    • Napolitano T
    • Neronov A
    • Nomoto K
    • Nonaka T
    • Ogawa T
    • Ogio S
    • Ohmori H
    • Olinto A.V
    • Onel Y
    • Osteria G
    • Otte A.N
    • Pagliaro A
    • Painter W
    • Panasyuk M.I
    • Panico B
    • Parizot E
    • Park I.H
    • Pastircak B
    • Paul T
    • Pech M
    • Pérez-Grande I
    • Perfetto F
    • Peter T
    • Picozza P
    • Pindado S
    • Piotrowski L.W
    • Piraino S
    • Plebaniak Z
    • Pollini A
    • Popescu E.M
    • Prevete R
    • Prévôt G
    • Prieto H
    • Przybylak M
    • Puehlhofer G
    • Putis M
    • Reardon P
    • Reno M.H
    • Reyes M
    • Ricci M
    • Rodríguez Frías M.D
    • Matamala O.F. Romero
    • Ronga F
    • Sabau M.D
    • Saccá G
    • Sagawa H
    • Sahnoune Z
    • Saito A
    • Sakaki N
    • Salazar H
    • Sánchez J.L
    • Balanzar J.C. Sanchez
    • Santangelo A
    • Sanz-Andrés A
    • Saprykin O.A
    • Sarazin F
    • Sato M
    • Scagliola A
    • Schanz T
    • Schieler H
    • Schovánek P
    • Scotti V
    • Serra M
    • Sharakin S.A
    • Shimizu H.M
    • Shinozaki K
    • Soriano J.F
    • Sotgiu A
    • Stan I
    • Strharský I
    • Sugiyama N
    • Supanitsky D
    • Suzuki M
    • Szabelski J
    • Tajima N
    • Tajima T
    • Takahashi Y
    • Takeda M
    • Takizawa Y
    • Talai M.C
    • Tameda Y
    • Tenzer C
    • Thomas S.B
    • Tibolla O
    • Tkachev L.G
    • Tomida T
    • Tone N
    • Toscano S
    • Traïche M
    • Tsunesada Y
    • Tsuno K
    • Turriziani S
    • Uchihori Y
    • Valdés-Galicia J.F
    • Vallania P
    • Valore L
    • Vankova-Kirilova G
    • Venters T.M
    • Vigorito C
    • Villaseñor L
    • Vlcek B
    • von Ballmoos P
    • Vrabel M
    • Wada S
    • Watanabe J
    • Watts J
    • Muñoz R. Weigand
    • Weindl A
    • Wiencke L
    • Wille M
    • Wilms J
    • Yamamoto T
    • Yang J
    • Yano H
    • Yashin I.V
    • Yonetoku D
    • Yoshida S
    • Young R
    • Zgura I.S
    • Zotov M.Yu
    • Marchi A. Zuccaro
    Astroparticle Physics, Elsevier, 2024, 154, pp.102891. The Extreme Universe Space Observatory on a Super Pressure Balloon 1 (EUSO-SPB1) was launched in 2017 April from Wanaka, New Zealand. The plan of this mission of opportunity on a NASA super pressure balloon test flight was to circle the southern hemisphere. The primary scientific goal was to make the first observations of ultra-high-energy cosmic-ray extensive air showers (EASs) by looking down on the atmosphere with an ultraviolet (UV) fluorescence telescope from suborbital altitude (33 km). After 12 days and 4 h aloft, the flight was terminated prematurely in the Pacific Ocean. Before the flight, the instrument was tested extensively in the West Desert of Utah, USA, with UV point sources and lasers. The test results indicated that the instrument had sensitivity to EASs of <math altimg="si1.svg" display="inline" id="d1e4447"><mrow><mo>⪆</mo><mn>3</mn></mrow></math> EeV. Simulations of the telescope system, telescope on time, and realized flight trajectory predicted an observation of about 1 event assuming clear sky conditions. The effects of high clouds were estimated to reduce this value by approximately a factor of 2. A manual search and a machine-learning-based search did not find any EAS signals in these data. Here we review the EUSO-SPB1 instrument and flight and the EAS search. (10.1016/j.astropartphys.2023.102891)
    DOI : 10.1016/j.astropartphys.2023.102891
  • Refined STACK-CNN for Meteor and Space Debris Detection in Highly Variable Backgrounds
    • Olivi Leonardo
    • Montanaro Antonio
    • Bertaina Mario Edoardo
    • Coretti Antonio Giulio
    • Barghini Dario
    • Battisti Matteo
    • Belov Alexander
    • Bianciotto Marta
    • Bisconti Francesca
    • Blaksley Carl
    • Blin Sylvie
    • Bolmgren Karl
    • Cambiè Giorgio
    • Capel Francesca
    • Casolino Marco
    • Churilo Igor
    • Crisconio Marino
    • de la Taille Christophe
    • Ebisuzaki Toshikazu
    • Eser Johannes
    • Fenu Francesco
    • Filippatos George
    • Franceschi Massimo Alberto
    • Fuglesang Christer
    • Golzio Alessio
    • Gorodetzky Philippe
    • Kajino Fumiyoshi
    • Kasuga Hiroshi
    • Klimov Pavel
    • Kungel Viktoria
    • Kuznetsov Vladimir
    • Manfrin Massimiliano
    • Marcelli Laura
    • Mascetti Gabriele
    • Marszał Włodzimierz
    • Mignone Marco
    • Miyamoto Hiroko
    • Murashov Alexey
    • Napolitano Tommaso
    • Ohmori Hitoshi
    • Olinto Angela
    • Parizot Etienne
    • Picozza Piergiorgio
    • Piotrowski Lech Wiktor
    • Plebaniak Zbigniew
    • Prévôt Guillaume
    • Reali Enzo
    • Ricci Marco
    • Romoli Giulia
    • Sakaki Naoto
    • Sharakin Sergei
    • Shinozaki Kenji
    • Szabelski Jacek
    • Takizawa Yoshiyuki
    • Vagelli Valerio
    • Valentini Giovanni
    • Vrabel Michal
    • Wiencke Lawrence
    • Zotov Mikhail
    IEEE J.Sel.Topics Appl.Earth Observ.Remote Sensing, 2024, 17, pp.10432-10453. In this work we present cutting-edge machine learning based techniques for the detection and reconstruction of meteors and space debris in the Mini-EUSO experiment, a detector installed on board of the International Space Station (ISS), and pointing towards the Earth. We base our approach on a recent technique, the Stack-CNN, originally developed as an online trigger in a orbiting remediation system to detect space debris. Our proposed method, the Refined Stack-CNN (R-Stack- CNN), makes the STACK-CNN more robust thanks to a Random Forest (RF) that learns the temporal development of these events in the camera. We prove the flexibility of our method by showing that it is sensitive to any space object that moves linearly in the field of view. First, we search small space debris, never observed by Mini-EUSO. Due to the limiting statistics, also in this case no debris were found. However, since meteors produce signals similar to space debris but they are much more frequent, the R-Stack-CNN is adapted to identify such events while avoiding the numerous false positives of the Stack-CNN. Results from real data show that the R-Stack-CNN is able to find more meteors than a classical thresholding method and a new method of two neural networks. We also show that the method is also able to accurately reconstruct speed and direction of meteors with simulated data. (10.1109/jstars.2024.3397734)
    DOI : 10.1109/jstars.2024.3397734
  • Timing Performance of the CMS High Granularity Calorimeter Prototype
    • Acar B
    • Adamov G
    • Adloff C
    • Afanasiev S
    • Akchurin N
    • Akgün B
    • Khan F. Alam
    • Alhusseini M
    • Alison J
    • Alpana A
    • Altopp G
    • Alyari M
    • An S
    • Anagul S
    • Andreev I
    • Aspell P
    • Atakisi I.O
    • Bach O
    • Baden A
    • Bakas G
    • Bakshi A
    • Bannerjee S
    • Bargassa P
    • Barney D
    • Beaudette F
    • Beaujean F
    • Becheva E
    • Becker A
    • Behera P
    • Belloni A
    • Bergauer T
    • Besançon M
    • Bhattacharya S
    • Bhowmik D
    • Bilki B
    • Bloch P
    • Bodek A
    • Bonanomi M
    • Bonnemaison A
    • Bonomally S
    • Borg J
    • Bouyjou F
    • Bower N
    • Braga D
    • Brashear J
    • Brondolin E
    • Bryant P
    • Buchot Perraguin A
    • Bueghly J
    • Burkle B
    • Butler-Nalin A
    • Bychkova O
    • Callier S
    • Calvet D
    • Cao X
    • Cappati A
    • Caraway B
    • Caregari S
    • Cauchois A
    • Ceard L
    • Cekmecelioglu Y.C
    • Cerci S
    • Cerminara G
    • Chadeeva M
    • Charitonidis N
    • Chatterjee R
    • Chen Y.M
    • Chen Z
    • Cheng H.J
    • Cheng K.Y
    • Chernichenko S
    • Cheung H
    • Chien C.H
    • Choudhury S
    • Čoko D
    • Collura G
    • Couderc F
    • Danilov M
    • Dannheim D
    • Daoud W
    • Dauncey P
    • David A
    • Davies G
    • Davignon O
    • Day E
    • Debarbaro P
    • de Guio F
    • de La Taille C
    • de Silva M
    • Debbins P
    • Defranchis M.M
    • Delagnes E
    • Berrio J.M. Deltoro
    • Derylo G
    • de Almeida P.G. Dias
    • Diaz D
    • Dinaucourt P
    • Dittmann J
    • Dragicevic M
    • Dugad S
    • Dulucq F
    • Dumanoglu I
    • Dutta V
    • Dutta S
    • Dünser M
    • Eckdahl J
    • Edberg T.K
    • Berni M. El
    • Elias F
    • Eno S.C
    • Ershov Yu
    • Everaerts P
    • Extier S
    • Fahim F
    • Fallon C
    • Fedi G
    • Fontana Santos Alves B.A
    • Frahm E
    • Franzoni G
    • Freeman J
    • French T
    • Gandhi P
    • Ganjour S
    • Gao X
    • Garcia-Bellido A
    • Gastaldi F
    • Gecse Z
    • Geerebaert Y
    • Gerwig H
    • Gevin O
    • Ghosh S
    • Gilbert A
    • Gilbert W
    • Gill K
    • Gingu C
    • Gninenko S
    • Golunov A
    • Golutvin I
    • Gonzalez T
    • Gorbounov N
    • Gouskos L
    • Gray A.B
    • Gu Y
    • Guilloux F
    • Guler Y
    • Gülmez E
    • Guo J
    • Gurpinar Guler E
    • Hammer M
    • Hassanshahi H.M
    • Hatakeyama K
    • Heering A
    • Hegde V
    • Heintz U
    • Hinton N
    • Hirschauer J
    • Hoff J
    • Hou W.-S
    • Hou X
    • Hua H
    • Incandela J
    • Irshad A
    • Isik C
    • Jain S
    • Jheng H.R
    • Joshi U
    • Kachanov V
    • Kalinin A
    • Kalipoliti L
    • Kaminskiy A
    • Kapoor A
    • Kara O
    • Karneyeu A
    • Kaya M
    • Kaya O
    • Kayis Topaksu A
    • Khukhunaishvili A
    • Kiesler J
    • Kilpatrick M
    • Kim S
    • Koetz K
    • Kolberg T
    • Köseyan O.K
    • Kristić A
    • Krohn M
    • Krüger K
    • Kulagin N
    • Kulis S
    • Kunori S
    • Kuo C.M
    • Kuryatkov V
    • Kyre S
    • Lai Y
    • Lamichhane K
    • Landsberg G
    • Lange C
    • Langford J
    • Lee M.Y
    • Levin A
    • Li A
    • Li B
    • Li J.H
    • Li Y.Y
    • Liao H
    • Lincoln D
    • Linssen L
    • Lipton R
    • Liu Y
    • Lobanov A
    • Lu R.-S
    • Lupi M
    • Lysova I
    • Magnan A.-M
    • Magniette F
    • Mahjoub A
    • Maier A.A
    • Malakhov A
    • Mallios S
    • Mandjavize I
    • Mannelli M
    • Mans J
    • Marchioro A
    • Martelli A
    • Martinez G
    • Masterson P
    • Meng B
    • Mengke T
    • Mestvirishvili A
    • Mirza I
    • Moccia S
    • Mohanty G.B
    • Monti F
    • Morrissey I
    • Murthy S
    • Musić J
    • Musienko Y
    • Nabili S
    • Nagar A
    • Nguyen M
    • Nikitenko A
    • Noonan D
    • Noy M
    • Nurdan K
    • Ochando C
    • Odegard B
    • Odell N
    • Okawa H
    • Onel Y
    • Ortez W
    • Ozegović J
    • Ozkorucuklu S
    • Paganis E
    • Pagenkopf D
    • Palladino V
    • Pandey S
    • Pantaleo F
    • Papageorgakis C
    • Papakrivopoulos I
    • Parshook J
    • Pastika N
    • Paulini M
    • Paulitsch P
    • Peltola T
    • Gomes R. Pereira
    • Perkins H
    • Petiot P
    • Pierre-Emile T
    • Pitters F
    • Popova E
    • Prosper H
    • Prvan M
    • Puljak I
    • Qu H
    • Quast T
    • Quinn R
    • Quinnan M
    • Garcia M.T. Ramos
    • Rao K.K
    • Rapacz K
    • Raux L
    • Reichenbach G
    • Reinecke M
    • Revering M
    • Roberts A
    • Romanteau T
    • Rose A
    • Rovere M
    • Roy A
    • Rubinov P
    • Rusack R
    • Rusinov V
    • Ryjov V
    • Sahin O.M
    • Salerno R
    • Rodriguez A.M. Sanchez
    • Saradhy R
    • Sarkar T
    • Sarkisla M.A
    • Sauvan J.B
    • Schmidt I
    • Schmitt M
    • Scott E
    • Seez C
    • Sefkow F
    • Sharma S
    • Shein I
    • Shenai A
    • Shukla R
    • Sicking E
    • Sieberer P
    • Silva P
    • Simsek A.E
    • Sirois Y
    • Smirnov V
    • Sozbilir U
    • Spencer E
    • Steen A
    • Strait J
    • Strobbe N
    • Su J.W
    • Sukhov E
    • Sun L
    • Sunar Cerci D
    • Syal C
    • Tali B
    • Tan C.L
    • Tao J
    • Tastan I
    • Tatlı T
    • Thaus R
    • Tekten S
    • Thienpont D
    • Tiras E
    • Titov M
    • Tlisov D
    • Tok U.G
    • Troska J
    • Tsai L.-S
    • Tsamalaidze Z
    • Tsipolitis G
    • Tsirou A
    • Tyurin N
    • Undleeb S
    • Urbanski D
    • Ustinov V
    • Uzunian A
    • van de Klundert M
    • Varela J
    • Velasco M
    • Viazlo O
    • Pinto M. Vicente Barreto
    • Vichoudis P
    • Virdee T
    • de Oliveira R. Vizinho
    • Voelker J
    • Voirin E
    • Vojinović M
    • Wade A
    • Wang C
    • Wang F
    • Wang X
    • Wang Z
    • Wang Z
    • Wayne M
    • Webb S.N
    • Whitbeck A
    • White D
    • Wickwire R
    • Wilson J.S
    • Winter D
    • Wu H.Y
    • Wu L
    • Nursanto M. Wulansatiti
    • Yeh C.H
    • Yohay R
    • Yu D
    • Yu G.B
    • Yu S.S
    • Yuan C
    • Yumiceva F
    • Yusuff I
    • Zacharopoulou A
    • Zamiatin N
    • Zarubin A
    • Zenz S
    • Zghiche A
    • Zhang H
    • Zhang J
    • Zhang Y
    • Zhang Z
    JINST, 2024, 19 (04), pp.P04015. This paper describes the experience with the calibration, reconstruction and evaluation of the timing capabilities of the CMS HGCAL prototype in the beam tests in 2018. The calibration procedure includes multiple steps and corrections ranging from tens of nanoseconds to a few hundred picoseconds. The timing performance is studied using signals from positron beam particles with energies between 20 GeV and 300 GeV. The performance is studied as a function of particle energy against an external timing reference as well as standalone by comparing the two different halves of the prototype. The timing resolution is found to be 60 ps for single-channel measurements and better than 20 ps for full showers at the highest energies, setting excellent perspectives for the HGCAL calorimeter performance at the HL-LHC. (10.1088/1748-0221/19/04/P04015)
    DOI : 10.1088/1748-0221/19/04/P04015
  • Beam test of n-type Silicon pad array detector at PS CERN
    • Sawan M
    • Bregant M
    • Bouly J.L
    • Bourrion O
    • Brink A. van Den
    • Chujo T
    • Krug C
    • Kumar L
    • Kashyap V.K.S
    • Ghimouz A
    • Inaba M
    • Isidori T
    • Loizides C
    • Mohanty B
    • Mondal M.M
    • Minafra N
    • Novitzky N
    • Ponchant N
    • Rauch M
    • Sharma K.P
    • Singh R
    • Thienpont D
    • Tourres D
    • Tambave G
    JINST, 2024, 19 (09), pp.P09016. This work reports the testing of a Forward Calorimeter (FoCal) prototype based on an n-type Si pad array detector at the CERN PS accelerator. The FoCal is a proposed upgrade in the ALICE detector operating within the pseudorapidity range of 3.2 &lt; $\mathrm{\eta}$ &lt; 5.8. It aims to measure direct photons, neutral hadrons, vector mesons, and jets for the study of gluon saturation effects in the unexplored region of low momentum fraction x ($\mathrm{\sim10^{-5} - 10^{-6}}$). The prototype is a $\mathrm{8\times9}$ n-type Si pad array detector with each pad occupying one cm$^2$ area, fabricated on a 6-in, 325~$\mathrm{\pm 10 \thinspace \mu}$m thick, and high-resistivity ($\sim$7 k$\Omega \thinspace$ cm) Si wafer which is readout using HGCROCv2 chip. The detector is tested using pion beams of energy 10~GeV and electron beams of energy 1-5~GeV. The measurements of the Minimum Ionizing Particle (MIP) response of pions and the shower profiles of electrons are reported. (10.1088/1748-0221/19/09/P09016)
    DOI : 10.1088/1748-0221/19/09/P09016
  • CEPC Technical Design Report -- Accelerator
    • Abdallah Waleed
    • Afanaciev Konstantin
    • Ahmad Shakeel
    • Ahmed Ijaz
    • Ai Xiaocong
    • Aleem Abid
    • Altmannshofer Wolfgang
    • Alves Fabio
    • An Rui
    • An Weiming
    • Anderle Daniele Paolo
    • Antusch Stefan
    • Arai Yasuo
    • Arbuzov Andrej
    • Arhrib Abdesslam
    • Ashry Mustafa
    • Bai Sha
    • Bai Yang
    • Bai Yu
    • Bairathi Vipul
    • Balazs Csaba
    • Bambade Philip
    • Ban Yong
    • Bandyopadhyay Triparno
    • Bao Shou-Shan
    • Barber Desmond P
    • Bat Ayse
    • Batozskaya Varvara
    • Behera Subash Chandra
    • Belyaev Alexander
    • Bertucci Michele
    • Bi Xiao-Jun
    • Bi Yuanjie
    • Bian Tianjian
    • Bianchi Fabrizio
    • Biekotter Thomas
    • Biglietti Michela
    • Bilanishvili Shalva
    • Binglin Deng
    • Bodrov Denis
    • Bogomyagkov Anton
    • Bondarenko Serge
    • Boogert Stewart
    • Boonekamp Maarten
    • Borri Marcello
    • Bosotti Angelo
    • Boudry Vincent
    • Boukidi Mohammed
    • Boyko Igor
    • Bozovic Ivanka
    • Bozzi Giuseppe
    • Brient Jean-Claude
    • Budzinskaya Anastasiia
    • Bukhari Masroor
    • Bytev Vladimir
    • Cacciapaglia Giacomo
    • Cai Haiying
    • Cai Hua
    • Cai Huacheng
    • Cai Wenyong
    • Cai Wujun
    • Cai Yijian
    • Cai Yizhou
    • Cai Yuchen
    • Calibbi Lorenzo
    • Cang Junsong
    • Cao Guofu
    • Cao Jianshe
    • Chance Antoine
    • Chang Xuejun
    • Chang Yue
    • Chang Zhe
    • Chao Wei
    • Chatrabhuti Auttakit
    • Che Yimin
    • Che Yuzhi
    • Chen Bin
    • Chen Boping
    • Chen Chunhui
    • Chen Danping
    • Chen Fuqing
    • Chen Fusan
    • Chen Gang
    • Chen Gang
    • Chen Guoming
    • Chen Hua-Xing
    • Chen Huirun
    • Chen Jinhui
    • Chen Ji-Yuan
    • Chen Kai
    • Chen Mali
    • Chen Mingjun
    • Chen Mingshui
    • Chen Ning
    • Chen Shanhong
    • Chen Shanzhen
    • Chen Shao-Long
    • Chen Shaomin
    • Chen Shiqiang
    • Chen Tianlu
    • Chen Wei
    • Chen Xiang
    • Chen Xiaoyu
    • Chen Xin
    • Chen Xun
    • Chen Xurong
    • Chen Ye
    • Chen Ying
    • Chen Yukai
    • Chen Zelin
    • Chen Zilin
    • Cheng Hok Chuen
    • Cheng Huajie
    • Cheng Shan
    • Cheng Tongguang
    • Chi Yunlong
    • Chimenti Pietro
    • Chiu Wen Han
    • Cho Guk
    • Chu Ming-Chung
    • Chu Xiaotong
    • Chu Ziliang
    • Coloretti Guglielmo
    • Crivellin Andreas
    • Cui Hanhua
    • Cui Xiaohao
    • Cui Zhaoyuan
    • d'Anzi Brunella
    • Dai Ling-Yun
    • Dai Xinchen
    • Dai Xuwen
    • de Maria Antonio
    • de Filippis Nicola
    • de la Taille Christophe
    • de Mori Francesca
    • de Sio Chiara
    • del Core Elisa
    • Deng Shuangxue
    • Deng Wei-Tian
    • Deng Zhi
    • Deng Ziyan
    • Dev Bhupal
    • Dewen Tang
    • Di Micco Biagio
    • Ding Ran
    • Ding Siqin
    • Ding Yadong
    • Dong Haiyi
    • Dong Jianing
    • Dong Jing
    • Dong Lan
    • Dong Mingyi
    • Dong Xu
    • Dong Yipei
    • Dong Yubing
    • Dordevic Milos
    • Drewes Marco
    • Du Mingxuan
    • Du Mingxuan
    • Du Qianqian
    • Du Xiaokang
    • Du Yanyan
    • Du Yong
    • Du Yunfei
    • Duan Chun-Gui
    • Duan Zhe
    • Dydyshka Yahor
    • Egede Ulrik
    • Elmetenawee Walaa
    • Eo Yun
    • Fan Ka Yan
    • Fan Kuanjun
    • Fan Yunyun
    • Fang Bo
    • Fang Shuangshi
    • Fang Yuquan
    • Farilla Ada
    • Farinelli Riccardo
    • Farooq Muhammad
    • Golfe Angeles Faus
    • Fazliakhmetov Almaz
    • Fei Rujun
    • Feng Bo
    • Feng Chong
    • Feng Junhua
    • Feng Xu
    • Feng Zhuoran
    • Flores Castillo Luis Roberto
    • Forest Etienne
    • Fowlie Andrew
    • Fox Harald
    • Fu Hai-Bing
    • Fu Jinyu
    • Fuks Benjamin
    • Funakoshi Yoshihiro
    • Gabrielli Emidio
    • Gan Nan
    • Gang L
    • Gao Jie
    • Gao Meisen
    • Gao Wenbin
    • Gao Wenchun
    • Gao Yanyan
    • Gao Yu
    • Gao Yuanning
    • Gao Zhanxiang
    • Ge Kun
    • Ge Shao-Feng
    • Ge Zhenwu
    • Geng Chao-Qiang
    • Geng Li-Sheng
    • Geng Qinglin
    • Ghosh Swagata
    • Gioiosa Antonio
    • Giuli Francesco
    • Gladilin Leonid
    • Gong Ti
    • Gori Stefania
    • Gou Quanbu
    • Grinstein Sebastian
    • Gu Chenxi
    • Guillermo Gerardo
    • da Costa Joao Guimaraes
    • Guo Dizhou
    • Guo Fangyi
    • Guo Jiacheng
    • Guo Jun
    • Guo Lei
    • Guo Lei
    • Guo Xia
    • Guo Xin-Heng
    • Guo Xinyang
    • Guo Yun
    • Guo Yunqiang
    • Guo Yuping
    • Guo Zhi-Hui
    • Gutiérrez-Rodríguez Alejandro
    • Ha Seungkyu
    • Habib Noman
    • Hajer Jan
    • Hammer Francois
    • Han Chengcheng
    • Han Huayong
    • Han Jifeng
    • Han Liang
    • Han Liangliang
    • Han Ruixiong
    • Han Tao
    • Han Yang
    • Han Yezi
    • Han Yuanying
    • Hao Jiankui
    • Hao Xiqing
    • He Chuanqi
    • He Dayong
    • He Dongbing
    • He Guangyuan
    • He Hongjian
    • He Jibo
    • He Jun
    • He Longyan
    • He Xiang
    • He Xiao-Gang
    • He Zhenqiang
    • Heinemann Klaus
    • Heinemeyer Sven
    • Heng Yuekun
    • Hernández-Ruíz María A
    • Hong Jiamin
    • Hor Yuenkeung
    • Hou George W.S
    • Hou Suen
    • Hou Xiantao
    • Hou Xiaonan
    • Hou Zhilong
    • Hu Caishi
    • Hu Chen
    • Hu Dake
    • Hu Haiming
    • Hu Jiagen
    • Hu Jun
    • Hu Kun
    • Hu Shouyang
    • Hu Yongcai
    • Hu Yu
    • Hu Zhen
    • Hua Zhehao
    • Huang Chao-Shang
    • Huang Fa Peng
    • Huang Guangshun
    • Huang Jinshu
    • Huang Ke
    • Huang Liangsheng
    • Huang Shuhui
    • Huang Xingtao
    • Huang Xu-Guang
    • Huang Yanping
    • Huang Yonggang
    • Huang Yongsheng
    • Huang Zimiao
    • Huanyuan Chen
    • Huh Changgi
    • Hui Jiaqi
    • Huo Lihua
    • Hussain Talab
    • Hwang Kyuyeong
    • Ioannisian Ara
    • Iqbal Munawar
    • Jackson Paul
    • Jafarzade Shahriyar
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    • Zhang Yongchao
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    • Zhang Yujie
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    • Zhang Yumei
    • Zhang Yunlong
    • Zhang Zhandong
    • Zhang Zhaoru
    • Zhang Zhen-Hua
    • Zhang Zhenyu
    • Zhang Zhichao
    • Zhang Zhiqing
    • Zhang Zhi-Qing
    • Zhang Zhuo
    • Zhao Guang
    • Zhao Hongyun
    • Zhao Jie
    • Zhao Jingxia
    • Zhao Jingyi
    • Zhao Ling
    • Zhao Luyang
    • Zhao Mei
    • Zhao Minggang
    • Zhao Mingrui
    • Zhao Qiang
    • Zhao Ruiguang
    • Zhao Tongxian
    • Zhao Yaliang
    • Zhao Ying
    • Zhao Yue
    • Zhao Zhiyu
    • Zhao Zhuo
    • Zhemchugov Alexey
    • Zheng Hongjuan
    • Zheng Jinchao
    • Zheng Liang
    • Zheng Ran
    • Zheng Shanxi
    • Zheng Xu-Chang
    • Zhile Wang
    • Zhong Weicai
    • Zhong Yi-Ming
    • Zhou Chen
    • Zhou Daicui
    • Zhou Demin
    • Zhou Jianxin
    • Zhou Jing
    • Zhou Jing
    • Zhou Ning
    • Zhou Qi-Dong
    • Zhou Shiyu
    • Zhou Shun
    • Zhou Sihong
    • Zhou Xiang
    • Zhou Xingyu
    • Zhou Yang
    • Zhou Yong
    • Zhou Yu-Feng
    • Zhou Zusheng
    • Zhu Dechong
    • Zhu Hongbo
    • Zhu Huaxing
    • Zhu Jingya
    • Zhu Kai
    • Zhu Pengxuan
    • Zhu Ruilin
    • Zhu Xianglei
    • Zhu Yingshun
    • Zhu Yongfeng
    • Zhuang Xiao
    • Zhuang Xuai
    • Zimmermann Frank
    • Zobov Mikhail
    • Zong Zhanguo
    • Zou Cong
    • Zou Hongying
    Radiat.Detect.Technol.Methods, 2024, 8 (1), pp.1-1105. The Circular Electron Positron Collider (CEPC) is a large scientific project initiated and hosted by China, fostered through extensive collaboration with international partners. The complex comprises four accelerators: a 30 GeV Linac, a 1.1 GeV Damping Ring, a Booster capable of achieving energies up to 180 GeV, and a Collider operating at varying energy modes (Z, W, H, and ttbar). The Linac and Damping Ring are situated on the surface, while the Booster and Collider are housed in a 100 km circumference underground tunnel, strategically accommodating future expansion with provisions for a Super Proton Proton Collider (SPPC). The CEPC primarily serves as a Higgs factory. In its baseline design with synchrotron radiation (SR) power of 30 MW per beam, it can achieve a luminosity of 5e34 /cm^2/s^1, resulting in an integrated luminosity of 13 /ab for two interaction points over a decade, producing 2.6 million Higgs bosons. Increasing the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons, facilitating precise measurements of Higgs coupling at sub-percent levels, exceeding the precision expected from the HL-LHC by an order of magnitude. This Technical Design Report (TDR) follows the Preliminary Conceptual Design Report (Pre-CDR, 2015) and the Conceptual Design Report (CDR, 2018), comprehensively detailing the machine's layout and performance, physical design and analysis, technical systems design, R&amp;D and prototyping efforts, and associated civil engineering aspects. Additionally, it includes a cost estimate and a preliminary construction timeline, establishing a framework for forthcoming engineering design phase and site selection procedures. Construction is anticipated to begin around 2027-2028, pending government approval, with an estimated duration of 8 years. The commencement of experiments could potentially initiate in the mid-2030s. (10.1007/s41605-024-00463-y)
    DOI : 10.1007/s41605-024-00463-y
  • Detection limits and trigger rates for ultra-high energy cosmic ray detection with the EUSO-TA ground-based fluorescence telescope
    • Adams J.H
    • Anchordoqui L
    • Barghini D
    • Battisti M
    • Belov A.A
    • Belz J.W
    • Bertaina M
    • Bisconti F
    • Blaksley C
    • Blin-Bondil S
    • Capel F
    • Casolino M
    • Cummings A
    • Ebisuzaki T
    • Eser J
    • Falk S
    • Fenu F
    • Ferrarese S
    • Filippatos G
    • Fouka M
    • Fuglesang C
    • Gorodetzky P
    • Guarino F
    • Haungs A
    • Inoue N
    • Kajino F
    • Klimov P.A
    • Manfrin M
    • Marcelli L
    • Marszał W
    • Mashiyama H
    • Matthews J.N
    • Miyamoto H
    • Ogio S
    • Ohmori H
    • Olinto A.V
    • Parizot E
    • Paul T
    • Picozza P
    • Piotrowski L.W
    • Plebaniak Z
    • Prévôt G
    • Przybylak M
    • Reali E
    • Ricci M
    • Sagawa H
    • Sahnoun Z
    • Sakaki N
    • Shin H
    • Shinozaki K
    • Sokolsky P
    • Szabelski J
    • Tajima N
    • Takizawa Y
    • Tameda Y
    • Thomson G.B
    • Vrabel M
    • Wiencke L
    • Zotov M.Yu
    Astroparticle Physics, Elsevier, 2024, 163, pp.103007. EUSO-TA is a ground-based fluorescence telescope built to validate the design of ultra-high energy cosmic ray fluorescence detectors to be operated in space with the technology developed within the Joint Exploratory Missions for Extreme Universe Space Observatory (JEM-EUSO) program. It operates at the Telescope Array (TA) site in Utah, USA. With an external trigger provided by the Black Rock Mesa fluorescence detectors of the Telescope Array experiment, with EUSO-TA we observed air-showers from ultra-high energy cosmic rays, as well as laser events from the Central Laser Facility at the TA site and from portable lasers like the JEM-EUSO Global Light System prototype. Since the Black Rock Mesa fluorescence detectors have a <math altimg="si3.svg" display="inline" id="d1e10847"><mo>∼</mo></math>30 times larger field of view than EUSO-TA, they allow a primary energy reconstruction based on the observation of a large part of the shower evolution, including the shower maximum, while EUSO-TA observes only a part of it, usually far away from the maximum. To estimate the detection limits of EUSO-TA in energy and distance, a method was developed to re-scale their energy, taking into account that EUSO-TA observes only a portion of the air-showers. The method was applied on simulation sets with showers with different primaries, energy, direction, and impact point on the ground, as well as taking into account the experimental environment. EUSO-TA was simulated with an internal trigger and different elevation angles and electronics. The same method was then applied also to real measurements and compared to the simulations. In addition, the method can also be used to estimate the detection limits for experiments that are operated at high altitudes and in most cases can see the maximum of the showers. This was done for EUSO-SPB1, an instrument installed on a super-pressure balloon. Finally, the expected detection rates for EUSO-TA were also assessed using the prepared simulated event sets. The rates correspond to a few detections per recording session of 30 h of observation, depending on the background level and the configuration of the detector. (10.1016/j.astropartphys.2024.103007)
    DOI : 10.1016/j.astropartphys.2024.103007