Catalogue Search | MBRL
Search Results Heading
Explore the vast range of titles available.
MBRLSearchResults
-
DisciplineDiscipline
-
Is Peer ReviewedIs Peer Reviewed
-
Item TypeItem Type
-
SubjectSubject
-
YearFrom:-To:
-
More FiltersMore FiltersSourceLanguage
Done
Filters
Reset
15
result(s) for
"Lech Wiktor Piotrowski"
Sort by:
Search for Strange Quark Matter and Nuclearites on Board the International Space Station (SQM-ISS): A Future Detector to Search for Massive, Non-Relativistic Objects in Space
by
Ricci, Marco
,
Bisconti, Francesca
,
Lattanzi, Massimiliano
in
Black holes
,
Candidates
,
Cosmic rays
2024
SQM-ISS is a detector that will search from the International Space Station for massive particles possibly present among the cosmic rays. Among them, we mention strange quark matter, Q-Balls, lumps of fermionic exotic compact stars, Primordial Black Holes, mirror matter, Fermi balls, etc. These compact, dense objects would be much heavier than normal nuclei, have velocities of galaxy-bound systems, and would be deeply penetrating. The detector is based on a stack of scintillator and piezoelectric elements which can provide information on both the charge state and mass, with the additional timing information allowing to determine the speed of the particle, searching for particles with velocities of the order of galactic rotation speed (v ≲ 250 km/s). In this work, we describe the apparatus and its observational capabilities.
Journal Article
Neural Network Based Approach to Recognition of Meteor Tracks in the Mini-EUSO Telescope Data
by
Capel, Francesca
,
Olinto, Angela
,
Zotov, Mikhail
in
Artificial neural networks
,
atmosphere
,
Collaboration
2023
Mini-EUSO is a wide-angle fluorescence telescope that registers ultraviolet (UV) radiation in the nocturnal atmosphere of Earth from the International Space Station. Meteors are among multiple phenomena that manifest themselves not only in the visible range but also in the UV. We present two simple artificial neural networks that allow for recognizing meteor signals in the Mini-EUSO data with high accuracy in terms of a binary classification problem. We expect that similar architectures can be effectively used for signal recognition in other fluorescence telescopes, regardless of the nature of the signal. Due to their simplicity, the networks can be implemented in onboard electronics of future orbital or balloon experiments.
Journal Article
Neural Network Based Approach to Recognition of Meteor Tracks in the Mini-EUSO Telescope Data
by
Capel, Francesca
,
Olinto, Angela
,
Zotov, Mikhail
in
Artificial neural networks
,
Fluorescence
,
International Space Station
2023
Mini-EUSO is a wide-angle fluorescence telescope that registers ultraviolet (UV) radiation in the nocturnal atmosphere of Earth from the International Space Station. Meteors are among multiple phenomena that manifest themselves not only in the visible range but also in the UV. We present two simple artificial neural networks that allow for recognizing meteor signals in the Mini-EUSO data with high accuracy in terms of a binary classification problem. We expect that similar architectures can be effectively used for signal recognition in other fluorescence telescopes, regardless of the nature of the signal. Due to their simplicity, the networks can be implemented in onboard electronics of future orbital or balloon experiments.
Constraints on the optical precursor to the naked-eye burst GRB080319B from Pi of the Sky observations
2012
I present the results of the search for an optical precursor to the naked-eye burst - GRB080319B, which reached 5.87m optical peak luminosity in the \"Pi of the Sky\" data. A burst of such a high brightness could have been preceded by an optical precursor luminous enough to be in detection range of our experiment. The \"Pi of the Sky\" cameras observed the coordinates of the GRB for about 20 minutes prior to the explosion, thus provided crucial data for the precursor search. No signal within 3 sigma limit was found. A limit of 12m (V-band equivalent) was set based on the data combined from two cameras, the most robust limit to my knowledge for this precursor.
The format for GRAND data storage and related Python interfaces
2023
The vast amounts of data to be collected by the Giant Radio Array for Neutrino Detection (GRAND) and its prototype - GRANDProto300 - require the use of a data format very efficient in terms of i/o speed and compression. At the same time, the data should be easily accessible, without the knowledge of the intricacies of the format, both for bulk processing and for detailed event-by-event analysis and reconstruction. We present the format and the structure prepared for GRAND data, the concept of the data-processing chain, and data-oriented and analysis-oriented interfaces written in Python.
A search for Elves in Mini-EUSO data using CNN-based one-class classifier
by
Lech Wiktor Piotrowski
,
the JEM-EUSO Collaboration
in
Classifiers
,
Elves (atmospherics)
,
International Space Station
2023
Mini-EUSO is a small, near-UV telescope observing the Earth and its atmosphere from the International Space Station. The time resolution of 2.5 microseconds and the instantaneous ground coverage of about \\(320\\times 320\\) km\\(^2\\) allows it to detect some Transient Luminous Events, including Elves. Elves, with their almost circular shape and a radius expanding in time form cone-like structures in space-time, which are usually easy to be recognised by the eye, but not simple to filter out from the myriad of other events, many of them not yet categorised. In this work, we present a fast and efficient approach for detecting Elves in the data using a 3D CNN-based one-class classifier.
GRANDlib: A simulation pipeline for the Giant Radio Array for Neutrino Detection (GRAND)
by
Magnard, Frédéric
,
Ogio, Shoichi
,
Wang, Xu
in
Antenna arrays
,
Cosmic ray showers
,
Data acquisition
2024
The operation of upcoming ultra-high-energy cosmic-ray, gamma-ray, and neutrino radio-detection experiments, like the Giant Radio Array for Neutrino Detection (GRAND), poses significant computational challenges involving the production of numerous simulations of particle showers and their detection, and a high data throughput. GRANDlib is an open-source software tool designed to meet these challenges. Its primary goal is to perform end-to-end simulations of the detector operation, from the interaction of ultra-high-energy particles, through -- by interfacing with external air-shower simulations -- the ensuing particle shower development and its radio emission, to its detection by antenna arrays and its processing by data-acquisition systems. Additionally, GRANDlib manages the visualization, storage, and retrieval of experimental and simulated data. We present an overview of GRANDlib to serve as the basis of future GRAND analyses.
Results and status of the EUSO-TA detector
by
Lech Wiktor Piotrowski
,
the JEM-EUSO collaboration
in
Cosmic ray showers
,
Cosmic rays
,
Field of view
2019
EUSO-TA is a ground-based telescope, located at the Black Rock Mesa site of Telescope Array (TA), Utah, USA. The main aim of the instrument is observation of Ultra High Energy Cosmic Rays through detection of ultraviolet light generated by cosmic-ray showers. EUSO-TA consists of two, 1 m2 Fresnel lenses with a field of view of about 11x11 deg. Light is focused on the Photo Detector Module composed of 36 Hamamatsu multi-anode photomultipliers, for a total of 2304 channels. During operations, the telescope is housed in a shed located in front of the TA Fluorescence Detector. We present the results from EUSO-TA observational campaigns performed in years 2015 and 2016, including detected cosmic rays, meteors and laser shots. Also shown are the details of current instrument setup and upgrade of the detector to phase II.
Limits on the flux of nuclearites and other heavy compact objects from the \Pi of the Sky\ project
by
Mankiewicz, Lech
,
Zadrożny, Adam
,
Wrochna, Grzegorz
in
Atmospheric models
,
Atomic physics
,
Flux
2020
Many theories predict the existence of very heavy compact objects, that in terms of sizes would belong to the realms of nuclear or atomic physics, but in terms of masses could extend to the macroscopic world, reaching kilograms, tonnes or more. If they exist, it is likely that they reach our planet with high speeds and cross the atmosphere. Due to their high mass to size ratio and huge energy, in many cases, they would leave behind a trail in the form of sound and seismic waves, etches, or light in transparent media. Here we show results of a search for such objects in visual photographs of the sky taken by the \"Pi of the Sky\" experiment, illustrated with the most stringent limits on the isotropic flux of incoming so-called nuclearites, spanning between \\(5.4\\cdot10^{-20}\\) and \\(2.2\\cdot10^{-21}\\ \\mathrm{cm}^{-2} \\mathrm{s}^{-1} \\mathrm{sr}^{-1}\\) for masses between 100 g and 100 kg. In addition we establish a directional flux limit under an assumption of static \"sea\" of nuclearites in the Galaxy, which spans between \\(1.5\\cdot10^{-18}\\) and \\(2.1\\cdot10^{-19}\\ \\mathrm{cm}^{-2} \\mathrm{s}^{-1}\\) in the same mass range. The general nature of the limits presented should allow one to constrain many specific models predicting the existence of heavy compact objects and both particle physics and astrophysical processes leading to their creation, and their sources.
Tests and characterisation of the KI trigger for fast events on the EUSO-SPB2 Fluorescence Telescope
by
Lech Wiktor Piotrowski
,
Blin, Sylvie
,
the JEM-EUSO collaboration
in
Cosmic ray showers
,
Cosmic rays
,
Fluorescence
2023
The second generation Extreme Universe Space Observatory on a Super-Pressure Balloon (EUSO-SPB2) mission is a stratospheric balloon mission developed within the Joint Exploratory Missions for Extreme Universe Space Observatory (JEM-EUSO) program. The Fluorescence Telescope (FT) is one of the two separate Schmidt telescopes of EUSO-SPB2, which aims at measuring the fluorescence emission of extensive air showers from cosmic rays above the energy of 1 EeV, looking downwards onto the atmosphere from the float altitude of 33 km. The FT measures photons with a time resolution of 1.05 \\(\\mu\\)s in two different modes: single photon counting (PC) and charge integration (KI). In this paper, we describe the latter and report on the measurements of its characteristics. We also present a new trigger based on this channel, the so-called KI trigger, which allows to measure additional types of events, namely very short and intense light pulses. We report on the tests of this trigger mode in the laboratory and at the TurLab facility, and its implementation in the EUSO-SPB2 mission.