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Article

Cosmic-Ray Extremely Distributed Observatory: Status and Perspectives

by
Dariusz Góra
1,*,
Kevin Almeida Cheminant
1,
David Alvarez-Castillo
2,
Łukasz Bratek
3,
Niraj Dhital
1,
Alan R. Duffy
4,
Piotr Homola
1,
Pawel Jagoda
1,7,
Joanna Jałocha
3,
Marcin Kasztelan
5,
Konrad Kopański
1,
Peter Kovacs
6,
Vahab Nazari
1,2,
Michal Niedźwiecki
3,
Dominik Ostrogórski
7,
Karel Smołek
8,
Jaroslaw Stasielak
1,
Oleksander Sushchov
1,
Krzysztof W. Woźniak
1 and
Jilberto Zamora-Saa
9
1
Institute of Nuclear Physics Polish Academy of Sciences, Radzikowskiego 152, 31-342 Cracow, Poland
2
Joint Institute for Nuclear Research, Dubna, Russia
3
Faculty of Physics, Mathematics and Computer Science, Cracow University of Technology, Warszawska 24st, 31-155 Cracow, Poland
4
Centre for Astrophysics and Supercomputing, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
5
National Centre for Nuclear Research, Andrzeja Soltana 7, 05-400 Otwock-Swierk, Poland
6
Institute for Particle and Nuclear Physics, Wigner Research Centre for Physics, Hungarian Academy of Sciences, H-1525 Budapest, Hungary
7
AGH University of Science and Technology, 30-059 Cracow, Poland
8
Institute of Experimental and Applied Physics, Czech Technical University in Prague, Horská 3a/22, 128 00 Praha 2, Czech Republic
9
Departamento de Ciencias Fisicas, Facultad de Ciencias Exactas, Universidad Andres Bello, Avenida Republica 498, Santiago 8370146, Chile
*
Author to whom correspondence should be addressed.
Universe 2018, 4(11), 111; https://doi.org/10.3390/universe4110111
Submission received: 8 October 2018 / Revised: 22 October 2018 / Accepted: 23 October 2018 / Published: 24 October 2018

Abstract

:
The Cosmic-Ray Extremely Distributed Observatory (CREDO) is a project dedicated to global studies of extremely extended cosmic-ray phenomena, the cosmic-ray ensembles (CRE), beyond the capabilities of existing detectors and observatories. Up to date, cosmic-ray research has been focused on detecting single air showers, while the search for ensembles of cosmic-rays, which may overspread a significant fraction of the Earth, is a scientific terra incognita. Instead of developing and commissioning a completely new global detector infrastructure, CREDO proposes approaching the global cosmic-ray analysis objectives with all types of available detectors, from professional to pocket size, merged into a worldwide network. With such a network it is possible to search for evidences of correlated cosmic-ray ensembles. One of the observables that can be investigated in CREDO is a number of spatially isolated events collected in a small time window which could shed light on fundamental physics issues. The CREDO mission and strategy requires active engagement of a large number of participants, also non-experts, who will contribute to the project by using common electronic devices (e.g., smartphones). In this note, the status and perspectives of the project are presented.

Graphical Abstract

1. Introduction

Considering the problem of ultra-high energy cosmic-rays (UHECR) origin, one should keep in mind that no ultra-high energy (UHE) photons (above 10 18 eV) have been observed even by the largest observatories so far [1]. It is possible that there is no mechanism of acceleration of photons with higher energies. Alternatively, as predicted by Lorentz invariance violation (LIV) models [2], photons may decay after a very short time (of the order of 1 second). In this case, the direct observation of such a photon at Earth seems to be impossible, because they decay nearly immediately and thus have no chance to reach Earth. On the other hand, it is believed that cascades initiated by such photons are totally dissipated on their way to Earth, although no precise calculations of the horizon (the distance within which a cascade can reach Earth) with different theoretical assumptions have been made so far. There are, however, the so-called bottom-up (astrophysical), or top-down (exotic) scenarios which predict the presence of UHE photons in the cosmic-ray flux [3].
The possible explanations of absence of UHE photons could be related with the fact that existing techniques are not capable of distinguishing hadronic shower and CRE. One can also speculate that UHE photons do not reach the Earth because of some yet unknown or not well understood processes occurring before entering the Earth’s atmosphere. As a result of those interactions electromagnetic cascades may be developing. Since such processes may occur at very large distances from the Earth, the transverse size of the mentioned cascades can be comparable with the Earth’s diameter.
The main objective of the Cosmic-Ray Extremely Distributed Observatory (CREDO) is detection and performing global analysis of CRE, using all accessible infrastructure [4]. Unlike the state of-the-art approach, oriented at the detection of single cosmic-ray events, the search for CRE is yet unprobed. The key idea of CREDO is collecting existing cosmic-ray detectors (large professional arrays, educational instruments, individual detectors, such as smartphones, etc.) in a worldwide network, thus constructing a scientific tool for global analysis. The second goal of CREDO is involving large number of participants (citizen science!), assuring the geographical spread and managing manpower necessary to deal with the vast amount of data.

2. The Sun and Earth Preshowers

A good candidate for a CRE is a shower induced by ultra high energy photon interacting close by the Sun or the Earth. Such cascades, which we call super-preshowers (SPSs), are produced as a consequence of interaction of UHE photons with solar magnetic field. Chain of SPS development involves pair production of leptons (predominantly e + e - ) if the magnetic field component transverse to the direction of propagation of primary UHE photon is large enough. For primary energies greater than 10 20 eV, typical solar magnetic field at a distance of a few solar radii from the Sun is sufficient to initiate the process. Furthermore, as leptons thus produced propagate through the magnetic field, they emit synchrotron photons. Among these photons, the ones which have very high energies can undergo pair production again. Consequently, by the time the cascade arrives at the Earth, it comprises several thousand photons and a few leptons with a peculiar spatial distribution to which CREDO will be very sensitive [5]. In reality, electromagnetic cascading process of UHE photons occurs even in the Earth’s vicinity [6,7]. An event-by-event identification of preshowers in cosmic-ray observatories, however, is limited by the fact that the constituent particles in a preshower have very narrow transverse spread at the top of atmosphere, typically of the order of a few centimetres. An important consequence of preshower phenomenon is a decrease in X m a x , the atmospheric depth at which the number of particles in an extensive air showers (EAS) reaches its maximum, for UHE photon initiated EASs towards that for proton initiated EASs. In Figure 1 the position of the maximum, X m a x , of the energy deposit as a function of X for a photon SPS is within the range of X m a x , values observed for protons and nuclei, only the width of the function is slightly smaller. Since X m a x is one of main parameters used in UHECR research, it is prudent to perform the UHE photon search using an alternative approach for a better inference on the mass composition of UHECRs and other physics which derived thereof. CREDO will implement search strategies aimed at SPS detection to serve this purpose.

3. Smartphones as Cosmic-Ray Detector

One of the key ideas to make CREDO as large as possible is to involve in the experiment also non-scientists and their pocket devices: Smartphones. The idea of using a smartphone as a portable cosmic-ray detector has been practically explored by two collaborations: Distributed Electronic Cosmic-ray Observatory (DECO) [10] and Cosmic-RAYs Found In Smartphones (CRAYFIS) [11] 1. DECO offers a free cosmic-ray-detection application already while CRAYFIS is still in the beta phase. Recently CREDO has also developed a free application to detect the cosmic-rays [14]. The CREDO Detector application for Android smartphones can be downloaded from the official Google Play store, from the IFJ PAN account. After installation, one has to register the device in the CREDO system. The CREDO Detector uses the image detector in the smartphone’s camera. If the camera’s lens is obscured, the images recorded should consist of only black pixels. When this condition is met, the CREDO Detector starts working. If a particle of secondary cosmic radiation, or possibly a particle of a local radiation, passes through the camera in the smartphone, some of the pixels of the sensor should register a signal. A few to several dozen lighter pixels, grouped in a more or less fanciful shape, sometimes circular, sometimes stretched into a line, appears on the homogeneous black background. In a 24-hour period from a few to several hundred detections are expected. Images are stored on a central database for future analysis, and can be browsed using the CREDO web interface [15] as shown in Figure 2. As we can see there the number of registered users in the middle of October 2018 was 3718 and about 704,767 images were stored in database. In general, there are three distinct types of charged particle events seen by CREDO Detector application: tracks, worms, and spots. These are named according to the convention in [16], which categorizes events by the morphology of their resulting images. Tracks are straight, likely due to high energy (GeV scale) cosmic-ray muons that exhibit little Coulomb scattering. Worms show significant deflection along the trajectory, curving and/or kinking. They are most likely due to low-energy (MeV scale) electrons what exhibit multiple Coulomb scattering. Such electrons are a product of radioactive decay in the materials of the phone itself or in the surroundings. The source of these low-energy electrons is typically the Compton scattering of gamma rays from potassium-40, and from uranium or thorium isotopes decay chains. Much smaller, diffusion-limited hits are also observed (spots), and are generally attributed to nuclear recoil events, very low-energy Compton scatters (short worms), or low energy X-rays.
To classify events and to extract tracks (muon-like events) we can use the method from [12]. Thus, in a first step, we convert the RGB pixel values to a single gray-scale amplitude (luminance) using the formula from [17]. Then we calculate a contour using the “marching squares” algorithm implemented in python module Scikit [18], to delimit the pattern of pixels that detected ionization above a particular threshold. Finally, several observables are calculated for each event like the total luminance above threshold (defined here as the SIZE parameter) or the Length and Width parameter of ellipse obtained from Principal Component Analysis (PCA) [19]. An example of simple analysis for some preliminary data set of images from smartphones and using a simple selection criterion is shown in Figure 3. As we can see from the plot track events have moderate SIZE parameter value: log 10 ( S I Z E ) < 1 . 7 .
The aim of CREDO is also to look for time coincidences between the cosmic-ray signal received by very distant stations, on a globe scale. One of the methods for a time search is to look for events coming from a restricted angular region, which could be identified with a known astrophysical object. For such a source in the sky, an excess of events from a particular direction over the background is expected. These events might present additional features that distinguish them from background, for example a different energy spectrum or formation of a short time cluster in time. In such search we would like to use not only the data from smartphones but also publicly available data from other type of detectors (cosmic-ray detector arrays, CCD camera image from astrophysical data, etc.). The search for the time clusters is going to be performed with methods presented in [20], but with the time probability functions only. Essentially, the time clustering algorithm selects the most significant cluster of events in time and returns the mean time and width of the corresponding flare. In a first step, the method selects the most promising flare candidates over different time windows, which are given by the combination of the times of signal-like events from the analysed data set. Each pair of events with times t i and t j defines a candidate flare time window ( Δ t i , j ). For each Δ t i j , a significance parameter (the test statistic) T S i is then calculated as defined in [20]. Larger values of T S i correspond to data less compatible with the null hypothesis (i.e. zero expected signal events in the data sample tested). Finally, the algorithm returns the best T S i , T S d a t a , corresponding to the most significant time window over the entire data period analysed. Significance of a cluster of chosen clusters can be determined by comparing the highest T S with the distribution obtained for data sets scrambled in time, see Figure 4 for explanation of the algorithm and an example of data analysis.

4. Outreach and Citizien Science

The CREDO project needs the help from citizens, thus the communication with the general public is also crucial. We can achieve this using several channels which include: Dark Universe project [21]—attracting most enthusiastic persons willing to help CREDO; Android application changing smartphones into detectors; CREDO web page [22] with general information on the project, public lectures, interviews, instructions both written and in video format (youtube), possibly in several languages.
The idea is to explore smartphone capability of being a particle detector to induce and drive scientific enthusiasm of the public, then cultivate this enthusiasm by providing a range of opportunities of undertaking a long term scientific journey towards personal development. The first step is API service hosted by ACC Cyfronet AGH-UST [23]. Everyone is encouraged to produce, using our open API server, his own (but accessible and open to community) web solutions and applications to visualize and analyse the data, including customised rankings and statistics. We plan also to maintain and develop central web application with all basic funcionalities, enabling e.g., easy following and customizing views of the monitors of the CREDO on-line experiments. All the codes maintained and developed by the CREDO is open with the MIT licence [24], increase the scale, dynamize the engagement. The general philosophy is: To break the producer-receiver relation (like a car factory and its customers) and change it into “we build the project together”. The prototypes of the key software ingredients already exist: the mobile application CREDO Detector and API server are available as MIT licensed codes on the GitHub [25]. We have also developed a prototype of the citizen science workflow to work within CREDO i.e., Dark Universe Welcome [21]. This workflow is located on the zooniverse platform where participation of external developers is limited, the ideas behind the workflow are transferable to other existing citizen science platforms with open source—thus our current prototypes can be considered showcases encouraging others to build clones with open source solutions to increase flexibility and benefit from contributions of external developers.

5. Summary

Pursuing the research strategy proposed in CREDO will have a large impact on astroparticle physics and possibly also on fundamental physics. If CRE are found, they could point back to the interactions at energies close to the Grand Unified Theories (GUT) scale. This would give an unprecedented chance to test experimentally dark matter models and scenarios, probe the interaction models, the properties of spacetime itself—all in the close to-GUT energy regime. If CRE are not observed it would valuably constrain the current and future theories. Apart from addressing fundamental physics questions, the CREDO has a number of additional applications: Alerting the astroparticle community on CRE candidates to enable a multi-channel data scan, integrating the scientific community (variety of science goals, detection techniques, wide cosmic-ray energy ranges, etc.), helping non-scientists to explore Nature on a fundamental but still understandable level—and many more. The high social and educational potential of the project gives confidence in its contributing to a progress in physics.

Author Contributions

All authors contributed equally to this work.

Funding

This work was partly funded by the International Visegrad Fund under the grant No. 21720040.

Acknowledgments

This research has been supported in part by PLGrid Infrastructure. We warmly thank the staff at ACC Cyfronet AGH-UST, for their always helpful supercomputing support. CREDO application is developed in Cracow University of Technology.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
CREDOThe Cosmic-Ray Extremely Distributed Observatory
CREcosmic-ray ensembles
UHECRultra-high energy cosmic-rays
SPSsuper-preshower

References

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1
The DECO collaboration has been demonstrated discrimination between GeV cosmic-ray muon tracks and MeV electron tracks caused by radioactive decay using morphological cuts based on track images [12]. However, large number of smartphones (∼ 10 6 [13]) are needed to reach the sensitivity comparable to the largest cosmic-rays observatories like the Pierre Auger Observatory or Telescope Array. In order to obtain valuable results it is thus necessary to combine the data from smartphones with the data from other detectors.
Figure 1. Longitudidal development of air showers induced by protons, iron nuclei, and super-preshowers of primary energies E = 10 19 . 6 eV, arriving at the Pierre Auger Observatory [8] from geographical South, at zenith angles of 60 deg [9].
Figure 1. Longitudidal development of air showers induced by protons, iron nuclei, and super-preshowers of primary energies E = 10 19 . 6 eV, arriving at the Pierre Auger Observatory [8] from geographical South, at zenith angles of 60 deg [9].
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Figure 2. The API server of CREDO with the number of user and detections (left) and the map of Cosmic-Ray Extremely Distributed Observatory (CREDO) user locations as of middle October 2018 (right).
Figure 2. The API server of CREDO with the number of user and detections (left) and the map of Cosmic-Ray Extremely Distributed Observatory (CREDO) user locations as of middle October 2018 (right).
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Figure 3. Example of clasification of CREDO smartphone’s images (see text for more details).
Figure 3. Example of clasification of CREDO smartphone’s images (see text for more details).
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Figure 4. Left panel: Graphical explanation of time clustering algorithm. For doublets the test statistic (TS) is defined as the minimum time difference between two consecutive events. The test statistic value for the data TS d a t a was shown as the vertical red line. The p-value can be done by obtaining the ratio of the area on the left of the red line ( S 1 ) over the total area of the distribution (S 1 + S 2 ). This p-value can be converted into a sigma by using the error function of the Gauss distribution, see text for more details. Right panel: Distribution of 100 detection timestamps from one smartphone corresponding to about 6 days (First event: 10.02.2018 at 4 h 26 m 6 s; Last event: 16.02.2018 at 7 h 38 m 56 s) of taking data with the CREDO Detector application. Some excess seems to appear at the beginning of the data acquisition i.e cluster of 6 events (10.02.2018 22 h 49 m 35 s–11.02.2018 00 h 36 m 16 s) with significance of about 1.4 σ but this result is compatible with the background expectation.
Figure 4. Left panel: Graphical explanation of time clustering algorithm. For doublets the test statistic (TS) is defined as the minimum time difference between two consecutive events. The test statistic value for the data TS d a t a was shown as the vertical red line. The p-value can be done by obtaining the ratio of the area on the left of the red line ( S 1 ) over the total area of the distribution (S 1 + S 2 ). This p-value can be converted into a sigma by using the error function of the Gauss distribution, see text for more details. Right panel: Distribution of 100 detection timestamps from one smartphone corresponding to about 6 days (First event: 10.02.2018 at 4 h 26 m 6 s; Last event: 16.02.2018 at 7 h 38 m 56 s) of taking data with the CREDO Detector application. Some excess seems to appear at the beginning of the data acquisition i.e cluster of 6 events (10.02.2018 22 h 49 m 35 s–11.02.2018 00 h 36 m 16 s) with significance of about 1.4 σ but this result is compatible with the background expectation.
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MDPI and ACS Style

Góra, D.; Cheminant, K.A.; Alvarez-Castillo, D.; Bratek, Ł.; Dhital, N.; Duffy, A.R.; Homola, P.; Jagoda, P.; Jałocha, J.; Kasztelan, M.; et al. Cosmic-Ray Extremely Distributed Observatory: Status and Perspectives. Universe 2018, 4, 111. https://doi.org/10.3390/universe4110111

AMA Style

Góra D, Cheminant KA, Alvarez-Castillo D, Bratek Ł, Dhital N, Duffy AR, Homola P, Jagoda P, Jałocha J, Kasztelan M, et al. Cosmic-Ray Extremely Distributed Observatory: Status and Perspectives. Universe. 2018; 4(11):111. https://doi.org/10.3390/universe4110111

Chicago/Turabian Style

Góra, Dariusz, Kevin Almeida Cheminant, David Alvarez-Castillo, Łukasz Bratek, Niraj Dhital, Alan R. Duffy, Piotr Homola, Pawel Jagoda, Joanna Jałocha, Marcin Kasztelan, and et al. 2018. "Cosmic-Ray Extremely Distributed Observatory: Status and Perspectives" Universe 4, no. 11: 111. https://doi.org/10.3390/universe4110111

APA Style

Góra, D., Cheminant, K. A., Alvarez-Castillo, D., Bratek, Ł., Dhital, N., Duffy, A. R., Homola, P., Jagoda, P., Jałocha, J., Kasztelan, M., Kopański, K., Kovacs, P., Nazari, V., Niedźwiecki, M., Ostrogórski, D., Smołek, K., Stasielak, J., Sushchov, O., Woźniak, K. W., & Zamora-Saa, J. (2018). Cosmic-Ray Extremely Distributed Observatory: Status and Perspectives. Universe, 4(11), 111. https://doi.org/10.3390/universe4110111

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