TRAGALDABAS: a high performance detector for the regular study of cosmic ray properties

Similar documents
URAGAN & TRAGALDABAS: two complementary approaches for the regular survey of Cosmic Rays

Cosmic ray physics with the TRAGALDABAS detector

PANDA Muon System Prototype

Study of high muon multiplicity cosmic-ray events with ALICE at the CERN Large Hadron Collider

Mechanical design of the RPC-based ToF wall (itof) for the R3B experiment at FAIR

Timing calibration of the LHAASO-KM2A electromagnetic particle detectors

Calibration of large water-cherenkov Detector at the Sierra Negra site of LAGO

The Compact Muon Solenoid Experiment. Conference Report. Mailing address: CMS CERN, CH-1211 GENEVA 23, Switzerland. First Physics at CMS

Muon reconstruction performance in ATLAS at Run-2

Geant4 simulations of the lead fluoride calorimeter

PoS(TIPP2014)093. Performance study of the TOP counter with the 2 GeV/c positron beam at LEPS. K. Matsuoka, For the Belle II PID group

PoS(HCP2009)042. Status of the ALICE Experiment. Werner Riegler. For the ALICE Collaboration. CERN

Study of Performance Improvement for Air Shower Array with Surface Water Cherenkov Detectors

Study of muon bundles from extensive air showers with the ALICE detector at CERN LHC

Track measurement in the high multiplicity environment at the CBM Experiment

Performance of the ALICE Muon Trigger system in Pb Pb collisions

Characteristics of Forbush decreases measured by means of the new scintillation muon hodoscope ScMH

arxiv: v1 [physics.ins-det] 22 Dec 2013

Light ion recoil detector

Simulation of GEM-TPC Prototype for the Super-FRS Beam Diagnostics System at FAIR

New Hadroproduction results from the HARP/PS214 experiment at CERN PS

Ultra-short Radio Pulses from High Energy Cosmic Rays

The Fast Interaction Trigger Upgrade for ALICE

Search for a diffuse cosmic neutrino flux with ANTARES using track and cascade events

Preliminary results of refined site analysis for the Antarctic node of the Latin American Giant Observatory

An introduction to AERA. An Introduction to the Auger Engineering Radio Array (AERA)

The ATLAS trigger - commissioning with cosmic rays

STATUS OF ATLAS TILE CALORIMETER AND STUDY OF MUON INTERACTIONS. 1 Brief Description of the ATLAS Tile Calorimeter

PoS(EPS-HEP2015)232. Performance of a 1 m 2 Micromegas Detector Using Argon and Neon based Drift Gases

Precision Calibration of Large Area Micromegas Detectors Using Cosmic Muons

First Results from the HiSCORE/Siberia WR setup. Plans for CTA. and. Martin Brückner (Humboldt-Univ. Berlin) Ralf Wischnewski (DESY)

PoS(PD07)031. General performance of the IceCube detector and the calibration results

HiSPARC Detector - Detector Station

PoS(DIS 2010)058. ATLAS Forward Detectors. Andrew Brandt University of Texas, Arlington

Very High Energy Gamma Ray Astronomy and Cosmic Ray Physics with ARGO-YBJ

Primary cosmic ray mass composition above 1 PeV as measured by the PRISMA-YBJ array

arxiv: v1 [physics.ins-det] 7 Dec 2018

EAS spectrum in thermal neutrons measured with PRISMA-32

Measurements of solar diurnal anisotropy with GRAPES-3 experiment

ATLAS EXPERIMENT : HOW THE DATA FLOWS. (Trigger, Computing, and Data Analysis)

EAS lateral distribution measured by analog readout and digital readout of ARGO-YBJ experiment

Status and Perspectives for KM3NeT/ORCA

Hands on LUNA: Detector Simulations with Geant4

PoS(KAON13)012. R K Measurement with NA62 at CERN SPS. Giuseppe Ruggiero. CERN

Detectors in Nuclear and High Energy Physics. RHIG summer student meeting June 2014

The experiment at JINR: status and physics program

PoS(ICRC2015)424. YAC sensitivity for measuring the light-component spectrum of primary cosmic rays at the knee energies

Particle production vs. energy: how do simulation results match experimental measurements?

The cosmic-ray energy spectrum above ev measured with the LOFAR Radboud Air Shower Array

PoS(RPC2012)011. Results from the ARGO-YBJ experiment. Roberto Iuppa for the ARGO-YBJ collaboration

arxiv: v1 [physics.ins-det] 29 Jun 2011

Calibration and Performance of the ATLAS Tile Calorimeter During the LHC Run 2

The Compact Muon Solenoid Experiment. Conference Report. Mailing address: CMS CERN, CH-1211 GENEVA 23, Switzerland. Commissioning of the CMS Detector

PoS(KAON)049. Testing the µ e universality with K ± l ± ν decays

Cavern background measurement with the ATLAS RPC system

The KASCADE-Grande Experiment

Cosmic Ray Detector Software

Status and Perspectives of the LAGO Project

Neutral particles energy spectra for 900 GeV and 7 TeV p-p collisions, measured by the LHCf experiment

The NUCLEON Space Experiment Preliminary Results. Skobeltsyn Institute of Nuclear Physics, Moscow State University, Moscow, , Russia

PoS(ICRC2015)641. Cloud Monitoring using Nitrogen Laser for LHAASO Experiment. Z.D. Sun 1,Y. Zhang 2,F.R. Zhu 1 for the LHAASO Collaboration

PoS(Bormio2012)013. K 0 production in pp and pnb reactions. Jia-Chii Berger-Chen

Improvement of Spatial Resolution by Selfconsistent Full Muon Track Reconstruction in Gaseous Detectors

PoS(PD07)020. Timing Properties of MCP-PMT. Kenji Inami. Nagoya university, Nagoya, Japan

Cosmic Muon Shower Study with QuarkNet

Results on long-term performances and laboratory tests of the L3 RPC system at LEP

High-energy Gamma Rays detection with the AMS-02 electromagnetic calorimeter. F. Pilo for the AMS-02 ECAL Group INFN Sezione di Pisa, Italy

Precision neutron flux measurement with a neutron beam monitor

Neutrinos with a cosmic ray detector. Cosmic rays with a neutrino detector

PoS(EPS-HEP 2013)508. CMS Detector: Performance Results. Speaker. I. Redondo * CIEMAT

PoS(TIPP2014)033. Upgrade of MEG Liquid Xenon Calorimeter. Ryu SAWADA. ICEPP, the University of Tokyo

Zero degree neutron energy spectra measured by LHCf at s = 13 TeV proton-proton collision

Non-collision Background Monitoring Using the Semi-Conductor Tracker of ATLAS at LHC

Luminosity measurements and diffractive physics in ATLAS

Seasonal variations of the rate of multiple-muons in the Gran Sasso underground laboratory

arxiv: v2 [physics.ins-det] 8 Feb 2013

ATLAS Tile Calorimeter Calibration and Monitoring Systems

The Effects of Atmospheric Variations on the High Energy Radiation Environment at the Surface of Mars

Senior Design Proposal

arxiv: v1 [physics.ins-det] 3 Jun 2016

Educational cosmic ray experiments with Geiger counters

Study on Surface Asperities in Bakelite-RPC

Time variations of proton flux in the Earth inner radiation belt for years based on the PAMELA and the ARINA data

Status of ARGO-YBJ: an overview

Digital Imaging Calorimetry for Precision Electromagnetic and Hadronic Interaction Measurements

PoS(ICRC2015)430. Shower reconstruction performance of the new Tibet hybrid experiment consisting of YAC-II, Tibet-III and MD arrays

On the Combined Analysis of Muon Shower Size and Depth of Shower Maximum

Water Cherenkov Detector installation by the Vertical Muon Equivalent technique

Cosmic Ray Physics with ARGO-YBJ

arxiv:hep-ex/ v1 15 Oct 2004

Simulation and validation of the ATLAS Tile Calorimeter response

A large area timing RPC

2 ATLAS operations and data taking

Development of a Time Projection Chamber with GEM technology in IMP. Herun yang Gas detector group

Observations of the Crab Nebula with Early HAWC Data

New Limits on Heavy Neutrino from NA62

Long-term stability plastic scintillation for LHAASO-KM2A

Particle Identification Algorithms for the Medium Energy ( GeV) MINERνA Test Beam Experiment

Publications of Francesco Arneodo: journal articles

Status and Perspectives of the LAGO Project

Transcription:

: a high performance detector for the regular study of cosmic ray properties LabCAF, F. Física. Univ. of Santiago de Compostela E-mail: juanantonio.garzon@usc.es In order to deepen the understanding of the properties of cosmic rays arriving to the Earth, a new generation high granularity and high time resolution cosmic ray tracking detector, TRAGALD- ABAS, based on timing RPC cells, has been recently installed at the Faculty of Physics of the Univ. of Santiago de Compostela, in Spain. At the same time a broad multidisciplinary collaboration, with researchers of several European countries, has been organized for both the maintenance and the improvement of the facility and for the analysis of the data. The detector is taking data with three active planes since March. 2015 at an approximate rate of 80 Hz. In this article, some of the performances and technical aspects of the detector areas are commented and some preliminary results related with several of the accessible research are discussed. The 34th International Cosmic Ray Conference, 30 July- 6 August, 2015 The Hague, The Netherlands Speaker. See full list of members of the TRAGALDABAS Colloboration at the end of the article c Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike Licence. http://pos.sissa.it/

1. Introduction Cosmic rays of a wide range of energies are arriving regularly to the Earth atmosphere coming from the Sun, our galaxy and far galaxies. Before and after arriving to the Earth atmosphere, cosmic rays are affected by different effects, as the interplanetary magnetic field induced by the Sun, the solar wind, the Earth s magnetic field or the atmosphere. All these effects, on the one hand, make more difficult to measure the properties of the primary cosmic rays but, on the other hand, may provide valuable information about them. Fig. 1 summarizes most of the knowledge we have about the primary cosmic rays as a function of their energy: where do they come from, how are they affected by the interplanetary magnetic field, the magnetic field of the Earth and the solar modulation as well as how they interact in the high atmosphere producing bundles of up to billions of secondary particles. Recently, a detailed analysis of the space-time micro-structure of cosmic ray showers done with the detectors of the RPC ToF wall of the HADES experiment at GSI showed several interesting features yet not well understood [1]. A striking by product of the studies was that, apparently, a high time resolution ( 0.1 ns) and high granularity detector, even having a surface of barely 1 m 2, may provide a good estimate of the arrival direction of the front of the shower and perhaps, using both the time width and the density information, make a rough estimation of the energy of the primary cosmic ray. If this is the case, such a detector could be used for the regular scan of the arrival of cosmic rays at a broad range of energies, allowing to analyse a big variety of phenomena. With all these ideas in mind, a new generation tracking detector based on the RPC ToF wall of the HADES experiment at GSI, TRAGALDABAS [2], has been installed at the Univ. of Santiago de Compostela for the regular study of cosmic rays (Fig. 2). The detector may be sensitive, among others, to the following fields of research: - Study of the micro-structure of the high energy cosmic ray air showers and search for new observables - Regular survey of the solar activity and Space Weather phenomena - Analysis of the Earth s magnetic field - Analysis of the influence of the temperature of the stratosphere in the rate of cosmic rays on the ground and search for possible correlations between cosmic rays and the climate In section 2 we describe the main technical features of the detector. In section 3 some of the aspects related with the decoding and reconstruction software and with the slow control tasks already implemented in the detector will be provided. In section 4 we present some preliminary results obtained with the detector. 2. The detector TRAGALDABAS (TRAsGo for the AnaLysis of the nuclear matter Decay, the Atmosphere, the earth B-Field And the Solar activity) is based on the RPC (Resistive Plate Chamber) technology. It is inspired on the RPC ToF wall of the HADES experiment at the GSI, from which it uses some of the digitizing and data acquisition components. 2

In its present layout, the detector covers a surface of 1.2x1.5 m 2 and has a height of 1.8m. It is composed by four planes of RPC cells, with two 1mm-gap each placed inside a gas tight metacrilate box, filled with flowing freon R134a. The readout is done by 120 11x11cm 2 external pads. The four planes are placed at the heights: 180 cm, 120 cm, 90 cm and 0 cm. At this moment, only the first, the second and the fourth planes are now fully instrumented. The acquisition is triggered by coincidences between planes at 0cm and at 120cm. These features provide an angular resolution better than 2 at all the zenith angles and a relative uncertainty in the speed of the particles of 5%. This unusual performance allows even to measure protons arriving to the detector. A new trigger board is being developed that would allow, in the future, to trigger the acquisition by coincidences between any two plane combination. All these features do allow the detector to reconstruct the time-space micro-structure of the cosmic rays front. Another uncommon performance of the detector is that, unlike other cosmic ray detectors, it doesn t make use of any absorber which makes it sensitive to any of the charged secondary cosmic rays and high energy gammas. We expect that the muon and the electromagnetic components of a shower can be statistically dissagregated using software algorithms. Fig 3 an example of the tracking capability of the detector. The detector is installed on the first floor of a two-floor building, that will reject part of the EM component of the showers, in the geographical coordinates (N 42 52 34", W 8 33 37") and at 260 m over the sea level (Fig. 4). This location makes very difficult to make absolute measurements of the lowest energy cosmic ray showers. In order to overcome this problem, it is foreseen to install a replica of the detector outdoors at 100 m distance. The detector is taking regularly data at a rate of about 7 million registered events per day ( 80 Hz). Figure 1: Energy spectrum of primary cosmic rays with their corresponding estimated sources and the main detection techniques. Trasgo could be useful up to energies around the knee Figure 2: Present layout of the Trasgo TRAGALD- ABAS at the Univ. of Santiago de Compostela; at this moment, only three planes are fully instrumented. TRAGALDABAS uses the same Front End Electronics (FEE) design that is used at the HADES spectrometer at GSI, Darmstadt [6] since 2009. RPC signals are first amplified and integrated and then digitized in LVDS format in 4-channels daughter boards (DB). Every 8 DBs are housed in a motherboard (MB), that provides them the low voltage and the output for both the digital read-out 3

and the trigger signals. The four MBs collecting all the signals of a RPC plane are read-out by a TDC based read-out board (TRB) [9]. The detector-"acquisition electronics" chain provides a joint time resolution of 280 ps and an efficiency close to 100%. Data is collected in the acquisition computer and is regularly sent to the supercomputing center CESGA 1, for its definitive storage. In the near future the main counting rate values will be accessible in a web site for their public use. As a summary, in its present layout, the main performances of the detector are: - No. of instrumented planes: 3 - Granularity: 120 pads / plane; pad size: 130 cm 2. - Angular resolution: 1.5-2 - Hit time resolution: 340ps. - Track time resolution: 180 ps. - Velocity resolution for speed of light particles: < 6% - Hit efficiency: 1 - Data acquisition rate: 80 Hz. Figure 3: Example of the detection, tracking and identfication capabilities of TRAGALDABAS. Once an event has been triggered all the hits are stored for their analysis. Figure 4: Location of TRAGALDABAS at the Faculty of Physics building of the Univ. of Santiago de Compostela 3. Monitoring, Calibration and Simulation Software 3.1 Monitoring The subsystems of the slow control system at TRAGALDABAS experiment can be classified in three different subgroups, the high voltage subsystem (HV) that feeds the RPC planes, the internal RPC plane sensors which measure the temperature, pressure and humidity inside the RPC planes and the environmental sensors that will measure the temperature both inside and outside the laboratory and the ambient pressure. All the data generated by these subsystems is collected by a Nagios service [8], a well known open source solution initially developed to monitor resources 1 www.cesga.es 4

and performances in a computer system, but its flexibility has allowed it to be extended to monitor systems outside the computing realm. In Fig. 5 a representation of the slow control system is depicted. On the left there are represented the ambient environmental sensors which are read by an Arduino connected via USB to a computer. In this case the temperature probes use a 1-wire bus protocol for communications while the pressure sensor uses the I2C bus. On the right the RPC planes are pictured with their set of embedded sensors: relative humidity, pressure and 9 thermal probes all of them using a I2C bus connected to a Raspberry Pi. The Raspberry also controls, via a serial to USB interface, two high voltage power supplies, one of them providing a positive voltage to the upper plane of the RPC detector and the other a negative voltage to the bottom plane. Both the Rapsberry and the power supplies are encased together. The Raspberry Pi and the server controlling the Arduino are connected to an internal network to a server that provides connectivity to the outside world. The final piece of our system is the Nagios service, installed in an external server it queries the different sensors and power supplies and provides a monitoring and an alert system solution via custom scripts. 3.2 Calibration and Digitization The analysis of the TRAGALDABAS data is done within a specific framework written in C++ and based in ROOT [10]. The events are reconstructed sequentially. First the recorded data is unpacked and converted to physics units following pre-existing tables. Then the time of flight of each hit is fixed within the event. The time resolution after the calibration procedure and other charge corrections is of 340 ps. Then the hits are combined into track candidates which fit the hypothesis that the particle flies at speed of light. Finally all the tracks are combined in order to define an arrival direction of the shower. In case that only one trace is found by reconstruction algorithm that direction is set as the arrival direction of the cosmic. Finally, all the gathered data is collected and prepared for further analysis. At this stage the slow control data, specially the pressure and the temperature in the lab are used to do the correction for obtaining the absolute variation of the rates. 3.3 Simulation In order to to study the interaction of the particles produced by the primary cosmic rays in the atmosphere with the detector and to perform other acceptance studies, among others, a simulation of the detector TRAGALDABAS has been implemented in the ENSARRoot/FAIRRoot framework. ENSARRoot [11] is a derivation of the FAIRRoot framework prepared for the development of small setups and detectors in the Nuclear Physics field in Europe. In FAIRRoot, a ROOT based code, the user can create simulated data and perform analysis within the same framework. Moreover, Geant3 and Geant4 [3] transport engines are supported; however, the user code that creates simulated data does not depend on a particular Monte Carlo engine. The framework delivers base classes which enable the users to construct their detectors and analysis tasks in a simple way. The TRAGALDABAS simulation code derives from the general classes of FAIRRoot, adding and specifying the geometrical, physical description and response of the detectors, event generators for the reactions of interest and analysis and event visualization tools. We are using the simulation also for analysing the impact of the walls, the floors and the roof on the detector. 5

Figure 5: Block diagram of the monitoring of the detector, described in the text. 4. Some preliminary results Figure 6: Hit multiplicity of the upper trigger plane versus the one of the lower plane for all the period of data analysed. As can be seen, most of the triggers correspond to one or two particle events. The excess of high multiplicity events near the axis may correspond to streamer events producing a crosstalk domino effect among the cells. Fig. 6 shows the number of cells fired on the upper plane versus the one of the lower plane used in the trigger for all the period of data analysed. As can be seen, most of the triggers correspond to one or two particle events and the high multiplicity sample is dominated by events with roughly the same number of hits in both planes. Figure 7 shows some preliminary results obtained from the data taken since the last March. The Forbush Decrease held at June 22nd is apparent in most of the pictures. A very interesting effect observed that should be carefully analized in the future is that, for multiplicities higher than 1, there is a significant bump of events, starting several days before the decrease. 5. Summary A 1.8 m 2 Cosmic Ray detector based on the affordable timing RPC technology, TRAGALD- ABAS, has been installed at the Univ. of Santiago de Compostela and is being "supported" by a multidisciplinary team in order to understand better the air showers of cosmic origin and to go deeper in the relationship between cosmic rays in a broad range of energies and different phenomena related with the Earth s environment. The preliminary analysis of the rates obtained with different multiplicities and different arrival angles seem to already show very intriguing effects that should be analysed deeper. Acknowledgments We are very grateful to all our colleagues who made possible the development of the detector 6

Figure 7: A column shows the rate of measured events with multiplicity M=1, both uncorrected and corrected by pressure for the whole data period. Sharp structures correspond either to maintenance or upgrading periods. B columns shows, from top to bottom, the corrected mean rate of events for multiplicities M=1, M=2 and M>2, respectively. Vertical dotted lines show the most relevant days. and its installation in the laboratory of the LabCAF at the Univ. of Santiago de Compostela. In particular we thank M. Traxler, from the GSI-FAIR laboratory for providing us the TRBs we are using in the detector DAQ and the technical staff of LIP-Coimbra and the Graduate students: Juan Fdez. Afonso, Miguel Yermo and Miguel Carballo for their help in the preliminary analysis of the data. We also acknowledge the C. Desarrollo de las Ciencias, of Madrid, for their financial support and all our technical partners: ATI-Coruña, Aplitecs-Biduido and Hydra Technologies-Vigo. References [1] D. Belver et al. Analysis of the space-time microstructure of cosmic ray air showers using the HADES RPC TOF wall, JINST 7 (2012) P10007. [2] A. Blanco et al. TRAGALDABAS: a new RPC based detector for the regular study of cosmic rays, JINST 9 (2014) C09027. [3] D. Belver et al. The HADES RPC inner TOF wall, Nucl. Instr. and Meth. A 602 (2012) 687. [4] D. Belver et al. TRASGO: A proposal for a timing RPCs based detector for analyzing cosmic ray air showers, Nucl. Instrum. & Meth. A661 (2012) S163-167. 7

[5] P. Assis et al. R&D for an autonomous RPC station in air shower detector arrays, Proc. 32th. International Cosmic Ray Conference V3 (2011) 133-136. [6] Belver D. et al. Performance of the Low-Jitter High-Gain/Bandwidth Front-End Electronics of the HADES trpc Wall, IEEE Trans. Nucl. Sci. 57 (2010) 2848-2856. [7] L. Lópes et al. Study of RPCs for autonomous field stations in cosmic ray research, Proc. of Science, RPC conference 2012 043 (2012). [8] http://www.nagios.org [9] I. Fröhlich et al. A General Purpose Trigger and Readout Board for HADES and FAIR-Experiments, IEEE Trans. Nucl. Sci. 55 (2008) 59-66. [10] R. Brun and F. Rademakers ROOT - An object oriented data analysis framework Nuc. Inst. Meth. A 389 (1997) 81Ð86. See also: http://root.cern.ch/ [11] http://igfae.usc.es/ sinurse/index.php/downloadmenuitem [12] S. Agostinelli et al. Geant4 - a simulation toolkit Nuc. Inst. Meth. A 506 (2003) 250. The TRAGALDABAS Collaboration: Members: H. Alvarez Pol(9), A. Blanco (4), J.J. Blanco (1), J. Collazo (8), J. Díaz Cortés (8), P. Fonte (4), D. García Castro(8), J.A. Garzón (8), A. Gómez-Tato (7), M. González (8), G. Kornakov(6), T. Kurtukian (2), R. Lorenzo (9), J.M. López (8), L. Lópes (4), M. Morales (8), A.Morozova (3), J.C. Mouriño (7), M.A. Pais (3), M. Palka (5), V. Pérez Muñuzuri (10), P. Rey(7), P. Ribeiro (3), M. Seco (9), J. Taboada (10). Institutions: 1. Univ. Alcalá /Alcalá de Henares, Spain. 2. CEN-Bordeaux, France. 3. CGUC- Univ. de Coimbra / Coimbra, Portugal. 4. LIP-Coimbra / Coimbra, Portugal. 5. Jagellionan Univ. /Cracow, Poland. 6. TU-Darmstadt, Germany. 7. CESGA/ S. de Compostela, Spain. 8. LabCAF- Univ. S. de Compostela / S. de Compostela, Spain. 9. Particle Phys. Dept. Univ. S. de Compostela / S. de Compostela, Spain. 10. Meteogalicia-Xunta de Galicia / S. de Compostela, Spain. 8