This document describes the Fluorescence detector Array of Single-pixel Telescopes (FAST), a proposed next-generation ground array for detecting ultrahigh-energy cosmic rays. FAST would consist of hundreds of small telescopes, each with a single or few pixel camera, covering a large ground area. This design aims to significantly increase the detection of cosmic rays above 57 EeV and 100 EeV compared to current experiments like the Telescope Array and Pierre Auger Observatory, enabling new insights into the origin and nature of the highest energy cosmic rays. Prototypes of FAST telescopes have been constructed and tested. The proposed full FAST array would cover over 150,000 km2 with 500 stations, detecting over 5000 cosmic rays above 57 EeV
First results from the full-scale prototype for the Fluorescence detector Arr...Toshihiro FUJII
The Fluorescence detector Array of Single-pixel Telescopes (FAST) is a design concept for the next generation of ultrahigh-energy cosmic ray (UHECR) observatories, addressing the requirements for a large-area, low-cost detector suitable for measuring the properties of the highest energy cosmic rays. In the FAST design, a large field of view is covered by a few pixels at the focal plane of a mirror or Fresnel lens. Motivated by the successful detection of UHECRs using a prototype comprised of a single 200 mm photomultiplier-tube and a 1 m2 Fresnel lens system [Astropart.Phys. 74 (2016) 64-72], we have developed a new full-scale prototype consisting of four 200 mm photomultiplier-tubes at the focus of a segmented mirror of 1.6 m in diameter. In October 2016 we installed the full-scale prototype at the Telescope Array site in central Utah, USA, and began steady data taking. We report on first results of the full-scale FAST prototype, including measurements of artificial light sources, distant ultraviolet lasers, and UHECRs.
35th International Cosmic Ray Conference — ICRC2017 18th July, 2017
Bexco, Busan, Korea
Imaging the Unseen: Taking the First Picture of a Black HoleDatabricks
<p>This talk will present the methods and procedures used to produce the first image of a black hole from the Event Horizon Telescope. It has been theorized for decades that a black hole will leave a "shadow" on a background of hot gas. Taking a picture of this black hole shadow could help to address a number of important scientific questions, both on the nature of black holes and the validity of general relativity.</p><p>Unfortunately, due to its small size, traditional imaging approaches require an Earth-sized radio telescope. In this talk, I discuss techniques we have developed to photograph a black hole using the Event Horizon Telescope, a network of telescopes scattered across the globe. Imaging a black hole’s structure with this computational telescope required us to reconstruct images from sparse measurements, heavily corrupted by atmospheric error. The resulting image is the distilled product of an observation campaign that collected approximately five petabytes of data over four evenings in 2017.</p>
Why radiodetection of UHECR still matters ? Karlsruhe Institute of Technol...Ahmed Ammar Rebai PhD
In the field of radiodetection in astroparticle physics, the Codalema experiment is devoted to the detection of ultra high energy cosmic rays by the radio method. The main objective is to study the features of the radio signal induced by the development of extensive air showers (EAS) generated by cosmic rays in the energy range of 10 PeV-1 EeV. After a brief presentation of the recent results of UHECR, a description the CODALEMA II and III experiments characteristics is reported.
Next, a study of the response in energy of the radio-detection method is presented. The analysis of the CODALEMA II experiment data shows that a strong correlation can be demonstrated between the primary energy and the electric field amplitude on the axis shower. Its sensitivity to the shower characteristics suggests that energy resolution of less than 20% can be achieved. It suggests also that, not only the geomagnetic emission, but also another contribution proportional to all charged particles number in the shower, could play a significant role in the radio emission measured by the antennas (as Askaryan charge-excess radiation or a Cherenkov like coherence effect).
Finally, the transition from small-scale prototype experiments, triggered by particle detectors, to large-scale antenna array experiments based on standalone detection, has emerged new problems. These problems are related to the localization, recognition and the suppression of the noisy background sources induced by human activities (such as high voltage power lines, electric transformers, cars, trains and planes) or by stormy weather conditions (such as lightning). In this talk, we focus on the localization problem which belongs to a class of more general problems usually termed as inverse problems. Many studies have shown the strong dependence of the solution of the radio-transient sources localization problem (the radio wavefront time of arrival on antennas TOA), such solutions are purely numerical artifacts. Based on a detailed analysis of some already published results of radio-detection experiments like : CODALEMA 3 in France, AERA in Argentina, TREND in China and LUNASKA in Australia, we demonstrate the ill-posed character of this problem in the sense of Hadamard. Two approaches have been used as the existence of solutions degeneration and the bad conditioning of the mathematical formulation of the problem. A comparison between the experimental results and the simulations have been made, to support the mathematical studies. Many properties of the non-linear least square function are discussed such as the configuration of the set of solutions and the bias.
We present a new BVR light curves of the system EQ Tau carried out in the period from March to April 2006 using a 50-cm F/8.4 Ritchey–Chretien telescope (Ba50) of the Baja Astronomical Observatory (Hungary), and 512 × 512 Apogee AP-7 CCD camera. The observed light curves were analyzed using the 2004 version of the Wilson-Devinney code. The results show that the more massive component is hotter than the low massive one by 100 K. A long term orbital period study shows that the period increases by the rate 8.946 (±0.365) x10-11 days/cycle. Evolutionary state of the system has been investigated and showed that, the primary component of the system is located nearly on the ZAMS for both the M-L and M-R relations. The secondary component is close to the TAMS track for M-L and above the M-R relations.
First results from the full-scale prototype for the Fluorescence detector Arr...Toshihiro FUJII
The Fluorescence detector Array of Single-pixel Telescopes (FAST) is a design concept for the next generation of ultrahigh-energy cosmic ray (UHECR) observatories, addressing the requirements for a large-area, low-cost detector suitable for measuring the properties of the highest energy cosmic rays. In the FAST design, a large field of view is covered by a few pixels at the focal plane of a mirror or Fresnel lens. Motivated by the successful detection of UHECRs using a prototype comprised of a single 200 mm photomultiplier-tube and a 1 m2 Fresnel lens system [Astropart.Phys. 74 (2016) 64-72], we have developed a new full-scale prototype consisting of four 200 mm photomultiplier-tubes at the focus of a segmented mirror of 1.6 m in diameter. In October 2016 we installed the full-scale prototype at the Telescope Array site in central Utah, USA, and began steady data taking. We report on first results of the full-scale FAST prototype, including measurements of artificial light sources, distant ultraviolet lasers, and UHECRs.
35th International Cosmic Ray Conference — ICRC2017 18th July, 2017
Bexco, Busan, Korea
Imaging the Unseen: Taking the First Picture of a Black HoleDatabricks
<p>This talk will present the methods and procedures used to produce the first image of a black hole from the Event Horizon Telescope. It has been theorized for decades that a black hole will leave a "shadow" on a background of hot gas. Taking a picture of this black hole shadow could help to address a number of important scientific questions, both on the nature of black holes and the validity of general relativity.</p><p>Unfortunately, due to its small size, traditional imaging approaches require an Earth-sized radio telescope. In this talk, I discuss techniques we have developed to photograph a black hole using the Event Horizon Telescope, a network of telescopes scattered across the globe. Imaging a black hole’s structure with this computational telescope required us to reconstruct images from sparse measurements, heavily corrupted by atmospheric error. The resulting image is the distilled product of an observation campaign that collected approximately five petabytes of data over four evenings in 2017.</p>
Why radiodetection of UHECR still matters ? Karlsruhe Institute of Technol...Ahmed Ammar Rebai PhD
In the field of radiodetection in astroparticle physics, the Codalema experiment is devoted to the detection of ultra high energy cosmic rays by the radio method. The main objective is to study the features of the radio signal induced by the development of extensive air showers (EAS) generated by cosmic rays in the energy range of 10 PeV-1 EeV. After a brief presentation of the recent results of UHECR, a description the CODALEMA II and III experiments characteristics is reported.
Next, a study of the response in energy of the radio-detection method is presented. The analysis of the CODALEMA II experiment data shows that a strong correlation can be demonstrated between the primary energy and the electric field amplitude on the axis shower. Its sensitivity to the shower characteristics suggests that energy resolution of less than 20% can be achieved. It suggests also that, not only the geomagnetic emission, but also another contribution proportional to all charged particles number in the shower, could play a significant role in the radio emission measured by the antennas (as Askaryan charge-excess radiation or a Cherenkov like coherence effect).
Finally, the transition from small-scale prototype experiments, triggered by particle detectors, to large-scale antenna array experiments based on standalone detection, has emerged new problems. These problems are related to the localization, recognition and the suppression of the noisy background sources induced by human activities (such as high voltage power lines, electric transformers, cars, trains and planes) or by stormy weather conditions (such as lightning). In this talk, we focus on the localization problem which belongs to a class of more general problems usually termed as inverse problems. Many studies have shown the strong dependence of the solution of the radio-transient sources localization problem (the radio wavefront time of arrival on antennas TOA), such solutions are purely numerical artifacts. Based on a detailed analysis of some already published results of radio-detection experiments like : CODALEMA 3 in France, AERA in Argentina, TREND in China and LUNASKA in Australia, we demonstrate the ill-posed character of this problem in the sense of Hadamard. Two approaches have been used as the existence of solutions degeneration and the bad conditioning of the mathematical formulation of the problem. A comparison between the experimental results and the simulations have been made, to support the mathematical studies. Many properties of the non-linear least square function are discussed such as the configuration of the set of solutions and the bias.
We present a new BVR light curves of the system EQ Tau carried out in the period from March to April 2006 using a 50-cm F/8.4 Ritchey–Chretien telescope (Ba50) of the Baja Astronomical Observatory (Hungary), and 512 × 512 Apogee AP-7 CCD camera. The observed light curves were analyzed using the 2004 version of the Wilson-Devinney code. The results show that the more massive component is hotter than the low massive one by 100 K. A long term orbital period study shows that the period increases by the rate 8.946 (±0.365) x10-11 days/cycle. Evolutionary state of the system has been investigated and showed that, the primary component of the system is located nearly on the ZAMS for both the M-L and M-R relations. The secondary component is close to the TAMS track for M-L and above the M-R relations.
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A next-generation ground array for the detection of ultrahigh-energy cosmic rays: the Fluorescence detector Array of Single-pixel Telescopes (FAST)
1. A next-generation ground array for the detection of ultrahigh-energy cosmic rays:
the Fluorescence detector Array of Single-pixel Telescopes (FAST)
Toshihiro Fujii (ICRR, University of Tokyo, fujii@icrr.u-tokyo.ac.jp)
Max Malacari, Justin Albury, Jose Bellido, Ladislav Chytka,
John Farmer, Petr Hamal, Pavel Horvath, Miroslav Hrabovsky,
Dusan Mandat, John Matthews, Xiaochen Ni, Libor Nozka,
Miroslav Palatka, Miroslav Pech, Paolo Privitera, Petr Schovanek,
Stan Thomas, Petr Travnicek (The FAST Collaboration)
UHECR 2018, Paris, France, 12th October 2018
1
October 6th, 2018
Fast rent-car
2. (E (eV))
10
log
17.5 18 18.5 19 19.5 20 20.5
)-1s-1sr-2m2
(eV24
/103
E×Flux
-1
10
1
10
Preliminary
TA ICRC 2015
Auger ICRC 2015
E [eV]
17
10 18
10 19
10 20
10
]2
[g/cm〉max
X〈
600
650
700
750
800
850
stat.±Auger FD ICRC17 (prel.)
stat±Auger SD ICRC17 (prel.)
sys.±
17
10 18
10
]2
)[g/cmmax
(Xσ
0
10
20
30
40
50
60
70
80
90
lines: air shower simulations using post-LHC hadronic inte
Results of energy spectrum, mass composition and anisotropy
2
9
FLUX MAP ABOVE 8 EeVFLUX MAP ABOVE 8 EeV
Galactic center
Equatorial coordinates
All Sky Survey with TA&PAO
12
Northern TA : 7 years 109 events (>57EeV)
Southern Auger : 10 years 157 events (>57EeV)
Oversampling with 20°-radius circle
Southern hotspot is seen at Cen A(Pre-trial ~3.6σ)
No correction for
E scale difference
b/w TA and PAO !!
Doublet
( =1.31o)
Triplet? or
Doublet
( =1.35o)
Small-scale anisotropy
Aug
TA
2 doublets above 100 EeV.
the probability to have 2 doublets
Pierre Auger Collab. Science 357, 1266 (2017) K. Kawata et al., Proc. of ICRC 2015 S. Troitsky et al., Proc. of ICRC 2017
E > 8 EeV E > 57 EeV E > 100 EeV
P. Sanchez-Lucas et al.,
Proc of ICRC 2017
Pierre Auger collab.,
Phys.Rev.D 96,122003
(2017)
Data points from
I. Valino et al.,
Proc. of ICRC
2015, D. Ivanov
at al., Proc. of
ICRC 2015
⇒ Need more statistic of ultrahigh energy cosmic rays (UHECRs)arXiv:1808.03579
Increase dipole amplitude above 4 EeV
3. Year
1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
yrsr]2
Exposure[km
3
10
4
10
5
10
6
10
Requirements for a next-generation ground array
3
AGASA/HiRes
Auger/TA
(hybrid
detector)
Upgrade
phase
Next-genration
ground array
K-EUSO
Auger
TA
TA×4
AGASA
HiRes
Fly’s Eye
~ 100 km2
~ 3000 km2
~30,000 km2
AGASA HiRes
Telescope Array Experiment
Pierre Auger Observatory
● GZK recovery
● Mass composition above
100 EeV
● Anisotropy above 57 EeV
with 10×statistics
● Directional study on
spectrum and composition
World-one collaboration
AugerPrime
4. Fine pixelated camera
Low-cost and simplified telescope
✦ Target : > 1019.5 eV, ultra-high energy cosmic rays (UHECR) and neutral particles
✦ Huge target volume ⇒ Fluorescence detector array
Too expensive to cover a huge area
4
Smaller optics and single or few pixels
Fluorescence detector Array of Single-pixel Telescopes
Segmented mirror telescope
Variable angles of elevation – steps.
15 deg 45 deg
5. 5
20 km
Fluorescence detector Array of Single-pixel Telescopes
5 years: 5100 events (E > 57 EeV),
650 events (E > 100 EeV)
ce Detectors
ope Array:700 km2
ale) 3
Pierre Auger: 3000 km2 Telescope Array:700 km2
(not drawn to scale) 3
TA
700 km2
Auger
3000 km2
57 EeV
(same scale)
16
56 EeV zenith 500
1
2
3
1
3 2
PhotonsatdiaphragmPhotonsatdiaphragm
Photonsatdiaphragm
60 stations
17,000 km2
Directional study on
spectrum and
composition from hot/
warm spots and Virgo
cluster, respectively.
All Sky Survey with TA&PAO
Northern TA : 7 years 109 events (>57EeV)
Southern Auger : 10 years 157 events (>57EeV)
Oversampling with 20°-radius circle
No correction for
E scale difference
K. Kawata et al., Proc. of ICRC 2015
✦ Each telescope: 4 PMTs, 30°×30° field of view (FoV)
✦ Reference design: 1 m2 aperture, 15°×15° FoV
per PMT
✦ Each station: 12 telescopes, 48 PMTs, 30°×360°
FoV.
✦ Deploy on a triangle grid with 20 km spacing, like
“Surface Detector Array”.
✦ With 500 stations, a ground coverage is 150,000 km2.
✦ 100 million USD for detectors
6. Progress from UHECR 2012
6
1
Accepted for publication
in Astroparticle Physics
Accepted for publication
in Astroparticle Physics
Astroparticle Physics 74 (2016) 64-72
P. Privitera in UHECR 2012
EUSO-TA optics
+
Single-pixel camera
Time (100 ns)
0 100 200 300 400 500 600 700 800
/(100ns)p.e.N
0
50
100
150
200
250
300
350
Data
Simulation
Time (100 ns)
0 100 200 300 400 500 600 700 800
/(100ns)p.e.N
-20
0
20
40
60
80
Cosmic Ray
(1 EeV, 2 km)
Vertical laser
(~ 30 EeV)
Feb. 2012
Sep. 2017
Apr. 2014
Oct. 2016
Oct. 2018
7. The full-scale FAST telescope
Reference: D. Mandat et al., JINST 12, T07001 (2017)
‣ 4 PMTs (20 cm, 8 dynodes R5912-03MOD, base
E7694-01)
‣ 1 m2 aperture of the UV band-pass filter
(ZWB3), segmented mirror of 1.6 m diameter
‣ 3 telescopes has been installed to cover 30°× 90°
FoV
‣ remote operation and automatic shutdown
‣ 425 hours observation by October 2018
Wavelength [nm]
260 280 300 320 340 360 380 400 420
Efficiency[%]
0
10
20
30
40
50
60
70
80
90
100
Mirror reflectivity
Filter transmission
Total efficiency
Figure 5. The typical spectral reflectance of the FAST mirror between 260 nm and 420 nm, along
spectral transmission of the UV band-pass filter. The resultant total optical e ciency is shown in b
filter used on the Cherenkov telescope of the MAGIC [18] observatory. The filter is construct
a number of small segments in order to fit the FAST prototype’s octagonal aperture. The ind
segments are fit together using brass “U” and “H” profiles, resulting in an aperture of 1 m2
6 Telescope support structure
The telescope’s mechanical support structure was built from commercially available alu
profiles. This allows for straightforward assembly/disassembly, and easy packing and transp
to their light weight, while also providing an extremely stable and rigid platform for th
8. a
Real-time night sky monitoring
8
ClearCloudy
Bright
Dark
All sky camera
Sky quality monitor
Work: Dusan Mandat, Ladislav Chytka
ClearCloudy
9. Calibrations for FAST
9
utput is initially placed into the second channel
cilloscope, and the LED voltage is adjusted un-
E signal is obtained. The signal is of order 100
plitude; when executing consecutive single-shot
ons on the scope, the goal is to obtain a SPE
ery ten acquisitions. Once this is the case, the
put in the FADC for one minute of event read-
ypical run will have about 5000 events. Events
aged over to smooth out the SPE signal (Fig. 6).
PMT ZS0018 PMT ZS0022
Entries 19374
Mean 551.7
RMS 1376
/ ndf2
504.6 / 191
Constant 0.62±23.57
Mean 28.4±2916
Sigma 28.6±1254
Integrated counts
0 2000 4000 6000 8000 10000 12000
Entries
20
40
60
80
100
120
140
160
180
200 Entries 19374
Mean 551.7
RMS 1376
/ ndf2
504.6 / 191
Constant 0.62±23.57
Mean 28.4±2916
Sigma 28.6±1254
Entries 19374
Mean 0.1558
RMS 69.01
/ ndf2
0 / −3
Constant 1.41±23.57
Mean 1.4±2916
Sigma 6152.5±1254
Integrated counts
−200 −100 0 100 200
Entries
0
20
40
60
80
100
120
140
160 Entries 19374
Mean 0.1558
RMS 69.01
/ ndf2
0 / −3
Constant 1.41±23.57
Mean 1.4±2916
Sigma 6152.5±1254
Entries 9047
Mean 1698
RMS 2415
/ ndf2
270.1 / 143
Constant 0.78±32.02
Mean 37.3±2989
Sigma 44.7±1641
Integrated counts
−2000 0 2000 4000 6000 800010000120001400016000
Entries
0
50
100
150
200
250
300
350 Entries 9047
Mean 1698
RMS 2415
/ ndf2
270.1 / 143
Constant 0.78±32.02
Mean 37.3±2989
Sigma 44.7±1641
Entries 9047
Mean 5.943
RMS 67.14
/ ndf2
0 / −3
Constant 1.41±32.02
Mean 1.4±2989
Sigma 6683.6±1641
Integrated counts
−200 −100 0 100 200
Entries
0
10
20
30
40
50
60
70
80
90
Entries 9047
Mean 5.943
RMS 67.14
/ ndf2
0 / −3
Constant 1.41±32.02
Mean 1.4±2989
Sigma 6683.6±1641
PMT ZS0024 PMT ZS0025
Entries 23504
Mean 2111
RMS 2691
/ ndf2
175.6 / 85
Constant 2.3±184.8
Mean 30.6±4582
Sigma 21.9±1933
Integrated counts
0 5000 10000 15000 20000 25000
Entries
200
400
600
800
1000
1200
1400
Entries 23504
Mean 2111
RMS 2691
/ ndf2
175.6 / 85
Constant 2.3±184.8
Mean 30.6±4582
Sigma 21.9±1933
Entries 23504
Mean 0.857
RMS 55.09
/ ndf2
0 / −3
Constant 1.4±184.8
Mean 1.4±4582
Sigma 8350.8±1933
Integrated counts
−200 −150 −100 −50 0 50 100 150
Entries
0
20
40
60
80
100
120
140
160
Entries 23504
Mean 0.857
RMS 55.09
/ ndf2
0 / −3
Constant 1.4±184.8
Mean 1.4±4582
Sigma 8350.8±1933
Entries 43157
Mean 4210
RMS 6062
/ ndf2
263.4 / 104
Constant 2.1±161.5
Mean 34.5±9949
Sigma 42.9±2982
Integrated counts
0 5000 10000 15000 20000 25000
Entries
200
400
600
800
1000
1200
Entries 43157
Mean 4210
RMS 6062
/ ndf2
263.4 / 104
Constant 2.1±161.5
Mean 34.5±9949
Sigma 42.9±2982
Entries 43157
Mean −5.645
RMS 84.44
/ ndf2
0 / −3
Constant 1.4±161.5
Mean 1.4±9949
Sigma 12157.8±2982
Integrated counts
−200 −100 0 100 200 300
Entries
0
50
100
150
200
250
300
Entries 43157
Mean −5.645
RMS 84.44
/ ndf2
0 / −3
Constant 1.4±161.5
Mean 1.4±9949
Sigma 12157.8±2982
Absolute calibration in laboratory
Time (100 ns)
0 100 200 300 400 500 600 700 800
/(100ns)p.e.N
-40
-30
-20
-10
0
10
20
30
40
PMT 1
Time (100 ns)
0 100 200 300 400 500 600 700 800
/(100ns)p.e.N
-40
-30
-20
-10
0
10
20
PMT 3
Time (100 ns)
0 100 200 300 400 500 600 700 800
/(100ns)p.e.N
-30
-20
-10
0
10
20
30
PMT 2
Time (100 ns)
0 100 200 300 400 500 600 700 800
/(100ns)p.e.N
0
50
100
150
200
250
300
PMT 4
YAP pulser (YAlO3:Ce
scintillator + 241Am source)
attached on each PMT surface
, University of Chicago 7
Wavelength [nm]
0 100 200 300 400 500 600 700
Efficiency[%]
0
2
4
6
8
10
12
14
16
18
20
22
Detection Efficiency: FAST PMTs
Hamamatsu (Scaled)
PMT ZS0025
PMT ZS0024
PMT ZS0022
PMT ZS0018
18. HV = 2169V, Disc = 38mV, x20 Amp
22. HV = 2252V, Disc = 50mV, x20 Amp
24. HV = 2266V, Disc = 85mV, x20 Amp
25. HV = 2000V, Disc = 44mV, x20 Amp
FIG. 13. Detection e ciency results with Hamamatsu mea-
Single photo
electron
Time (100 ns)
0 100 200 300 400 500 600 700 800
/(100ns)p.e.N
0
200
400
600
800
1000
1200
PMT 1
Time (100 ns)
0 100 200 300 400 500 600 700 800
/(100ns)p.e.N
0
200
400
600
800
1000
PMT 3
Time (100 ns)
0 100 200 300 400 500 600 700 800
/(100ns)p.e.N
0
200
400
600
800
1000
PMT 2
Time (100 ns)
0 100 200 300 400 500 600 700 800
/(100ns)p.e.N
0
200
400
600
800
1000
PMT 4
Ultraviolet LED illuminating the
front of the camera
Detection efficiency
Work: Max Malacari, John Farmer, Dusan Mandat, Petr Hamal
Temperature [℃]
ADCcounts
Filter transmittance difference
1 year
2 year
10. DAQ setup for the FAST telescopes
10
✦ Receiving the external triggers from TA FD
✦ 50 MHz sampling and 14 bits, sum up 5 bins to be 100 ns
✦ Common field-of-view (FoV) with FAST and TA FD
✦ Observe ultraviolet vertical laser at the distance of 21 km.
✦ Implemented internal trigger (2 adjacent PMTs), successful to
detect a vertical laser in a test operation
Time (100 ns)
0 100 200 300 400 500 600 700 800
-30
-20
Time (100 ns)
0 100 200 300 400 500 600 700 800
-30
-20
Time (100 ns)
0 100 200 300 400 500 600 700 800
/(100ns)p.e.N
-20
-10
0
10
20
30
PMT 2
Time (100 ns)
0 100 200 300 400 500 600 700 800
/(100ns)p.e.N
-20
-10
0
10
20
30
40
PMT 4
Time window 80 µs (100 µs)
p.e./100ns
TA FD FoV
A vertical laser at 21 km away
FAST1 FAST2 FAST3
11. Time (100 ns)
0 100 200 300 400 500 600 700 800
/(100ns)p.e.N
0
5
10
15
20
25
PMT1
PMT2
PMT3
PMT4
Simulation (Preliminary)
Data/MC comparison with vertical UV laser
11
Time (100 ns)
0 100 200 300 400 500 600 700 800
/(100ns)p.e.N
0
5
10
15
20
PMT 1
PMT 2
PMT 3
PMT 4
11
imulation - example
) aperture input 0.5W 0.43W/PMT1, <0.001W/PMT234 (eff: 86%)
(PMT 4)Directional characteristic (PMT2)
A UV vertical laser at 21 km away
Spot-size
50 mm offsetfocal plane
Work: Miroslav Pech, Max Malacari
12. Event 529: log10(E(eV)): 17.86, Zen: 52.0◦
, Azi: -81.0◦
,
Core(19.25, -7.29), Rp: 5.12, Psi: 77.2◦
, Xmax: 569 g/cm2
FoV(780 - 1102), Date: 20161007, Time: 05:38:07.968860386
Event 530: log10(E(eV)): 18.33, Zen: 64.1◦
, Azi: 159.6◦
,
Core(15.32, -9.36), Rp: 1.51, Psi: 28.5◦
, Xmax: 1264 g/cm2
FoV(1795 - 1972), Date: 20161007, Time: 05:38:31.715231263
Event 535: log10(E(eV)): 18.66, Zen: 29.1◦
, Azi: 97.8◦
,
Core(9.79, -7.93), Rp: 7.43, Psi: 63.4◦
, Xmax: 746 g/cm2
FoV(587 - 985), Date: 20161007, Time: 05:59:22.020589923
Event 536: log10(E(eV)): 18.36, Zen: 48.7◦
, Azi: 44.3◦
,
Core(15.78, -12.59), Rp: 0.97, Psi: 45.9◦
, Xmax: 997 g/cm2
FoV(1264 - 1330), Date: 20161007, Time: 06:19:14.071172549
Time(100ns)
0 100 200 300 400 500 600 700 800 900 1000
/(100ns)p.e.N
-10
0
10
20
30
40
PMT1
Time(100ns)
0 100 200 300 400 500 600 700 800 900 1000
/(100ns)p.e.N
-20
-10
0
10
20
30
40
50
PMT3
Time(100ns)
0 100 200 300 400 500 600 700 800 900 1000/(100ns)p.e.N
0
10
20
30
40
50
60
PMT2
Time(100ns)
0 100 200 300 400 500 600 700 800 900 1000
/(100ns)p.e.N
-20
-10
0
10
20
30
40
50
PMT4
Time(100ns)
0 100 200 300 400 500 600 700 800 900 1000
/(100ns)p.e.N
-40
-20
0
20
40
60
80
100
120
PMT5
Time(100ns)
0 100 200 300 400 500 600 700 800 900 1000
/(100ns)p.e.N
-20
0
20
40
60
80
PMT7
Time(100ns)
0 100 200 300 400 500 600 700 800 900 1000
/(100ns)p.e.N
-30
-20
-10
0
10
20
30
PMT6
Time(100ns)
0 100 200 300 400 500 600 700 800 900 1000
/(100ns)p.e.N
-10
0
10
20
30
PMT8
Time(100ns)
0 100 200 300 400 500 600 700 800 900 1000
/(100ns)p.e.N
-10
0
10
20
30
40
PMT1
Time(100ns)
0 100 200 300 400 500 600 700 800 900 1000
/(100ns)p.e.N
-20
-10
0
10
20
30
40
50
PMT3
Time(100ns)
0 100 200 300 400 500 600 700 800 900 1000
/(100ns)p.e.N
0
10
20
30
40
50
60
PMT2
Time(100ns)
0 100 200 300 400 500 600 700 800 900 1000
/(100ns)p.e.N
-20
-10
0
10
20
30
40
50
PMT4
Time(100ns)
0 100 200 300 400 500 600 700 800 900 1000
/(100ns)p.e.N
-40
-20
0
20
40
60
80
100
120
PMT5
Time(100ns)
0 100 200 300 400 500 600 700 800 900 1000
/(100ns)p.e.N
-20
0
20
40
60
80
PMT7
Time(100ns)
0 100 200 300 400 500 600 700 800 900 1000
/(100ns)p.e.N
-30
-20
-10
0
10
20
30
PMT6
Time(100ns)
0 100 200 300 400 500 600 700 800 900 1000
/(100ns)p.e.N
-10
0
10
20
30
PMT8
Atmospheric monitoring, UHECR detections
12
Time (100 ns)
200 250 300 350 400 450
/(100ns)p.e.N
-20
0
20
40
60
80
100
120 PMT 1
PMT 2
PMT 3
PMT 4
PMT 5
PMT 6
PMT 7
PMT 8
Event 283
UHECR event search
25 events (201 hours), in time coincidence with TA FD and
significant signals of > 2PMTs with FAST
rtant source of systematic uncertainty in the energy scales of both experiments. A
minary comparison between a set of 250 laser shots measured at the TA site and
ations of the expected laser signal under varying aerosol attenuation conditions, is
n in Fig. 7. (Note that this series of laser shots has been correctly calibrated to the
aser energy, as there is a seasonal drift in the pulse energy of the TA CLF laser of
⇠ 40%.) While this comparison is preliminary, it demonstrates FAST’s excellent
tivity to vertical laser shots and highlights the potential for FAST contributions to
bservatory’s atmospheric monitoring e↵orts.
Time bin [100 ns]
0 100 200 300 400 500 600 700 800 900 1000
/100nsp.eN
0
5
10
15
20
25
30
35
Rayleigh
= 0.04∞VAOD
= 0.1∞VAOD
Measured trace
e 7: Average signal from 250 CLF traces measured at the TA site, compared with
xpectation from simulations for 3 di↵erent aerosol atmospheres. An aerosol scale
t of 1 km was assumed for all atmospheres, consistent with the TA assumption.
Infrastructure Requirements; Site Selection
T has a number of requirements for a candidate site: AC power, a container or
ing for housing, a network connection, and a view of the CLF. An external trigger
an existing FD building would also be useful. Placing FAST adjacent to an existing
uilding meets all these requirements, provided conduits for the necessary cabling.
this in mind, we are considering two possible locations for the installation of the
Atmospheric monitor
Clear
Dirty
E: 2 EeV, Rp: 2.3 km
(Preliminary)
Preliminary
E: 4 EeV, Rp: 3.0 km
(Preliminary)
Time (100 ns)
0 100 200 300 400 500 600 700 800
/(100ns)p.e.N
0
50
100
150
200 PMT 1
PMT 2
PMT 3
PMT 4
Event 342
Work: Max Malacari, John Farmer
14. Reconstructing the highest event
14
Photon to Photo-electron
Work: Justin Albury, Jose Bellido
Data Expected(θ,φ,x,y,E,Xmax)
φ
Xmax
θ
E
φ Xmaxθ E
Zenith Azimuth Core(X) Core(Y) Xmax Energy
57.7 deg -172.6 deg 8.1 km -9.0 km 850 g/cm2 16.8 EeV
+0.4 +0.5 +0.2 +0.2 +10 +0.3
-0.7 -1.5 -0.2 -0.2 -10 -0.7
15. ✦ Install the FAST prototypes at Auger and TA for a study of systematic
uncertainties and a cross calibration.
✦ Profile reconstruction with geometry given by surface detector array (1° in
direction, 100 m in core location).
✦ Energy: 10%, Xmax : 35 g/cm2 at 1019.5 eV
✦ Independent check of Energy and Xmax scale between Auger and TA
Possible application of the FAST prototypes
15
1. Introduction
The hybrid detector of the Pierre Auger Observatory [1] consists of 1600
surface stations – water Cherenkov tanks and their associated electronics – and
24 air fluorescence telescopes. The Observatory is located outside the city of
Malarg¨ue, Argentina (69◦
W, 35◦
S, 1400 m a.s.l.) and the detector layout is
shown in Fig. 1. Details of the construction, deployment and maintenance of
the array of surface detectors are described elsewhere [2]. In this paper we will
concentrate on details of the fluorescence detector and its performance.
Figure 1: Status of the Pierre Auger Observatory as of March 2009. Gray dots show the
positions of surface detector stations, lighter gray shades indicate deployed detectors, while
a r t i c l e i n f o
Article history:
Received 25 December 2011
Received in revised form
25 May 2012
Accepted 25 May 2012
Available online 2 June 2012
Keywords:
Ultra-high energy cosmic rays
Telescope Array experiment
Extensive air shower array
a b s t r a c t
The Telescope Array (TA) experiment, located in the western desert of Utah, USA,
observation of extensive air showers from extremely high energy cosmic rays. The
surface detector array surrounded by three fluorescence detectors to enable simulta
shower particles at ground level and fluorescence photons along the shower trac
detectors and fluorescence detectors started full hybrid observation in March, 2008
describe the design and technical features of the TA surface detector.
& 2012 Elsevier B.V.
1. Introduction
The main aim of the Telescope Array (TA) experiment [1] is to
explore the origin of ultra high energy cosmic rays (UHECR) using
their energy spectrum, composition and anisotropy. There are two
major methods of observation for detecting cosmic rays in the
energy region above 1017.5
eV. One method which was used at the
High Resolution Fly’s Eye (HiRes) experiment is to detect air
fluorescence light along air shower track using fluorescence
detectors. The other method, adopted by the AGASA experiment,
is to detect air shower particles at ground level using surface
detectors deployed over a wide area ( $ 100 km
2
).
The AGASA experiment reported that there were 11 events
above 1020
eV in the energy spectrum [2,3]. However, the
existence of the GZK cutoff [4,5] was reported by the HiRes
experiment [6]. The Pierre Auger experimen
suppression on the cosmic ray flux at energy a
[7] using an energy scale obtained by fluores
scopes (FD). The contradiction between results f
detectors and those from surface detector arrays
be investigated by having independent ener
both techniques. Hybrid observations with SD
us to compare both energy scales. Information ab
and impact timing from SD observation impro
reconstruction of FD observations. Observatio
detectors have a nearly 100% duty cycle, which
especially for studies of anisotropy. Correlations
directions of cosmic rays and astronomical objec
region should give a key to exploring the origin o
their propagation in the galactic magnetic field.
Fig. 1. Layout of the Telescope Array in Utah, USA. Squares denote 507 SDs. There are three subarrays controlled by three communication towers den
three star symbols denote the FD stations.
T. Abu-Zayyad et al. / Nuclear Instruments and Methods in Physics Research A 689 (2012) 87–9788
Auger collab., NIM-A (2010)
]2
[g/cmmaxReconstructed X
400 500 600 700 800 900 1000 1100 1200 1300 1400
Entries
0
100
200
300
400
500
600
eV19.5
10
f = 1.17
Proton EPOS
Iron EPOS
Including Xmax
resolution
ProtonIron
TA collab., NIM-A (2012)
Identical
simplified FD
Telescope Array
Experiment
Pierre Auger Observatory
log(E(eV))
18 18.2 18.4 18.6 18.8 19 19.2 19.4 19.6
Efficiency
0
0.2
0.4
0.6
0.8
1 Proton
Iron
log(E(eV))
18 18.2 18.4 18.6 18.8 19 19.2 19.4 19.6
EnergyResolution[%]
0
5
10
15
20
25
Proton
Iron
log(E(eV))
18 18.2 18.4 18.6 18.8 19 19.2 19.4 19.6
]2
Resolution[g/cmmaxX
0
20
40
60
80
100
Proton
Iron
Energy
Xmax
T. Fujii et al., Astropart.Phys., 74, pp64-72 (2016)
16. Summary and future plans
16
Fluorescence detector Array of Single-pixel Telescopes
(FAST)
Optimization to detect UHECR with economical
fluorescence detector array.
10×statistics compared to Auger and TA×4 with Xmax
UHECR astronomy for nearby universe, directional
anisotropy on energy spectrum and mass composition
Installed the 3 full-scale FAST telescopes at Telescope Array site
Detect a distant vertical laser and UHECRs
Stable observation with remote controlling.
We will continue to operate the telescopes and search for UHECR in
coincidence with the TA detectors.
Plan to install 1st telescope in the Pierre Auger Observatory in 2019
Developing new electronics and preparing for stand-alone operation
New collaborators are welcome!http://www.fast-project.org
Time (100 ns)
0 100 200 300 400 500 600 700 800
/(100ns)p.e.N
0
5
10
15
20
PMT 1
PMT 2
PMT 3
PMT 4
Time [100 ns]
200 220 240 260 280 300 320 340 360 380 400
/100nsp.e.N
-50
0
50
100
150
200
PMT 1
PMT 2
PMT 3
PMT 4
PMT 5
PMT 6
PMT 7
PMT 8
Laser UHECR
Olomouc, June 2018
18. Physics goal and future perspectives
18
Origin and nature of ultrahigh-energy cosmic rays (UHECRs) and
particle interactions at the highest energies
Exposure and full sky coverage
TA×4 + Auger
K-EUSO : pioneer detection from
space with an uniform exposure in
northern/southern hemispheres
Detector R&D
Radio, SiPM,
Low-cost
fluorescence
detector
“Precision” measurements
AugerPrime
Low energy enhancement
(Auger infill+HEAT+AMIGA,
TALE+TA-muon+NICHE)
LHCf/RHICf for tuning models
5 - 10 years
Next generation observatories
In space (100×exposure): POEMMA
Ground (10×exposure with high quality events): FAST
10 - 15 years
19. Installation of FAST prototypes (Oct. 2016 and Sep. 2017)
19http://www.fast-project.org
20. Data analysis and simulation study
20
Geometry (given
by TASD or FD)
Shower Profile (FAST)
log(E(eV))
18 18.2 18.4 18.6 18.8 19 19.2 19.4 19.6
Efficiency
0
0.2
0.4
0.6
0.8
1 Proton
Iron
log(E(eV))
18 18.2 18.4 18.6 18.8 19 19.2 19.4 19.6
EnergyResolution[%]
0
5
10
15
20
25
Proton
Iron
log(E(eV))
18 18.2 18.4 18.6 18.8 19 19.2 19.4 19.6
]2
Resolution[g/cmmaxX
0
20
40
60
80
100
Proton
Iron
✦ Energy: 10%, Xmax : 35 g/cm2 at 1019.5 eV
✦ Independent cross-check of energy and Xmax scale
with simplified FD.
Simulation 32 EeV
+
16
56 EeV zenith 500
1
2
3
1
3 2
PhotonsatdiaphragmPhotonsatdiaphragm
Photonsatdiaphragm
FAST reconstructionFAST hybrid reconstruction
): 18.50, Zen: 33.03◦
, Azi: 136.36◦
,
: 12.17 VEM/m2
, Date: 20150511,
): 19.76, Zen: 43.58◦
, Azi: 73.75◦
,
118.27 VEM/m2
, Date: 20150511,
✦ Fluorescence detector array with a 20
km spacing.
✦ Reconstruct geometry and profile
57 EeV Simulation
22. Simulation study
22
Example usage: TA FD Event 31, 19/01/2017
Rp of approx. 3 km, log E = 18.
12/17FAST Collaboration Meeting, Olomouc, Czech Republic, June 11 - 12 2018
FASTSimulator
FAST Collaboration Meeting, Olomouc, Czech Republic, June 11 - 12 2018
FASTSimulator
Individual PMT responses
by John and Max
23. Data analysis and simulation study
23
Geometry (given
by TASD)
Shower Profile (FAST)
log(E(eV))
18 18.2 18.4 18.6 18.8 19 19.2 19.4 19.6
Efficiency
0
0.2
0.4
0.6
0.8
1 Proton
Iron
log(E(eV))
18 18.2 18.4 18.6 18.8 19 19.2 19.4 19.6
EnergyResolution[%]
0
5
10
15
20
25
Proton
Iron
log(E(eV))
18 18.2 18.4 18.6 18.8 19 19.2 19.4 19.6
]2
Resolution[g/cmmaxX
0
20
40
60
80
100
Proton
Iron
✦ Energy: 10%, Xmax : 35 g/cm2 at 1019.5 eV
✦ Independent cross-check of energy and Xmax scale
with simplified FD.
Simulation 32 EeV
+
16
56 EeV zenith 500
1
2
3
1
3 2
PhotonsatdiaphragmPhotonsatdiaphragm
Photonsatdiaphragm
FAST reconstructionFAST hybrid reconstruction
): 18.50, Zen: 33.03◦
, Azi: 136.36◦
,
: 12.17 VEM/m2
, Date: 20150511,
): 19.76, Zen: 43.58◦
, Azi: 73.75◦
,
118.27 VEM/m2
, Date: 20150511,
✦ Fluorescence detector array with a 20
km spacing.
✦ Reconstruct geometry and profile
25. Comparison betwen data and the best-fit
result from top-down reconstruction
25
Comparison with Simulation - best fit so far
-2018/05/15
Time bin [100 ns]
200 250 300 350 400
/100nspeN
30−
20−
10−
0
10
20
30
40
50
Data
Simulation
Time bin [100 ns]
200 250 300 350 400
/100nspeN
30−
20−
10−
0
10
20
30
40
50
Data
Simulation
Time bin [100 ns]
200 250 300 350 400
/100nspeN
0
50
100
150
200
250
Data
Simulation
Time bin [100 ns]
200 250 300 350 400
/100nspeN
0
50
100
150
200
Data
Simulation
Time bin [100 ns]
200 250 300 350 400
/100nspeN
30−
20−
10−
0
10
20
30
40
50
Data
Simulation
Time bin [100 ns]
200 250 300 350 400
/100nspeN
0
50
100
150
200
Data
Simulation
Time bin [100 ns]
200 250 300 350 400
/100nspeN
30−
20−
10−
0
10
20
30
40
50
Data
Simulation
Time bin [100 ns]
200 250 300 350 400
/100nspeN
30−
20−
10−
0
10
20
30
40
50
Data
Simulation
Simulation condition
Zenith Azimuth Core(X) Core(Y) Xmax Energy
57.7 deg -172.6 deg 8.1 km -9.0 km 850 g/cm2 16.8 EeV
26. Anode & dynode
Signal
FAST DAQ System
TAFD external trigger, 3~5 Hz Camera of FAST×4
High Voltage power supply,
N1470 CAEN
Portable VME Electronics
- Struck FADC 50 MHz sampling,
SIS3350 for 4 channels
- Updated to SIS3316 for 16 channels
- GPS board, HYTEC GPS2092
15 MHz
low pass filter
777,Phillips scientific
Signal×50
All modules are remotely
controlled through wireless
network.