The AMS Experiment
S. Ting
15 April 2015
1
1
Roberto BATTISTON, ASI, Trento Kfir BLUM, IAS, Princeton
John ELLIS, King’s College, London, CERN Jonathan FENG, UC Irvine
Masaki FUKUSHIMA, Tokyo William GERSTENMAIER, NASA Francis HALZEN, Wisconsin
Werner HOFMANN, MPI Heidelberg Gordon KANE, Michigan
Peter F. MICHELSON, Stanford Igor V. MOSKALENKO, Stanford Angela OLINTO, Chicago
Piergiorgio PICOZZA, INFN, Tor Vergata Vladimir S. PTUSKIN, IZMIRAN, Moscow Lisa RANDALL, Harvard
Michael SALAMON, DOE
Subir SARKAR, Oxford, Niels Bohr Inst.
Eun-Suk SEO, Maryland Tracy SLATYER, MIT
Edward C. STONE, Caltech Alan A. WATSON, Leeds
Yue-Liang WU, UCAS/ITP, CAS Fabio ZWIRNER, Padua, CERN
Welcome
to the AMS Days at CEN
Supported by: CERN, University of Geneva
2A. Neutral cosmic rays (light rays and neutrinos): have been measured for many years (Hubble, COBE, EGRET, WMAP, Planck, Fermi-LAT and Super Kamiokande, IceCube, HESS, …).
Fundamental discoveries have been made.
There are two kinds of cosmic rays traveling through space
B. Charged cosmic rays: Following the pioneering experiments with balloons and satellites (ACE/CRIS, ATIC, BESS, CREAM, HEAT, PAMELA, …), using a magnetic spectrometer (AMS) on ISS is a unique way to provide precision long term (10-20 years) measurements of
primordial high energy charged cosmic rays.
AMS
Fundamental Science on the ISS
3
A+B. Physics of extreme high energy cosmic rays: Auger, TA, HESS-CTA, IceCube, JEM-EUSO
….
4
Proton and Helium spectra
H/He ratio
p
He
Pamela Results
O. Adriani et al.,
PRL 102 (2009) 051101 Nature 458 (2009) 607 PRL 105 (2010) 121101 Astropart. Phys. 34 (2010) 1
Communication from Professor Piergiorgio Picozza
5 PRL 105 (2010) 121101Science, 332 (2011), 6025 PRL 111 (2013) 081102 Phys. Rep. (2014)
TOF(S1)
TOF(S3)
CALORIMETER
NEUTRON DETECTOR ANTICOINCIDENCE
ANTICOINCIDENCE
ANTICOINCIDENCE
S4
SPECTROMETER TOF(S2)
1. 3m
p/p
p flux [GeVm2 s sr]- 1 F(e+ )/(F(e+ )+ F(e- )) e+ flux x E3 (s-1 sr-1 m-2 GeV2 )6
Pamela Results
6
5m x 4m x 3m 7.5 tons
300,000 electronic channels
650 processors
7
Tracker 1
2
7-8 3-4
9 5-6
TRD
Identify e
+, e
-Silicon Tracker Z, P
ECAL E of e
+, e
-RICH Z, E TOF Z, E
Particles and nuclei are defined
by their charge (Z) and energy (E ~ P)
Z and P
are measured independently by the Tracker, RICH, TOF and ECAL
AMS: A TeV precision, multipurpose spectrometer
Magnet
±Z
8
TRD
ECAL
a) Minimal material in the TRD and Tracker, so that the detector itself does not become a source of background nor of large angle scattering
b) Repetitive measurements of momentum , to ensure that particles which had large angle scattering are not confused with the signal.
c) e± detectors are separated by magnetic field, so that secondary particles from TRD do not enter into ECAL.
AMS goals: He/He = 1/10 10 , e + /p > 1/10 6 & Spectra to 1%
Magnet e + /p > 1/10 2
e + /p = 1/10 4
9
USA
MIT - CAMBRIDGE
NASA GODDARD SPACE FLIGHT CENTER NASA JOHNSON SPACE CENTER
UNIV. OF HAWAII
UNIV. OF MARYLAND - DEPT OF PHYSICS YALE UNIVERSITY - NEW HAVEN
MEXICO UNAM
FINLAND UNIV. OF TURKU
FRANCE
LUPM MONTPELLIER LAPP ANNECY LPSC GRENOBLE
GERMANY RWTH-I.
KIT - KARLSRUHE
ITALY ASI
IROE FLORENCE
INFN & UNIV. OF BOLOGNA INFN & UNIV. OF MILANO-BICOCCA INFN & UNIV. OF PERUGIA
INFN & UNIV. OF PISA INFN & UNIV. OF ROMA INFN & UNIV. OF TRENTO NETHERLANDS
ESA-ESTEC NIKHEF
RUSSIA ITEP
KURCHATOV INST.
SPAIN CIEMAT - MADRID
I.A.C. CANARIAS.
SWITZERLAND ETH-ZURICH UNIV. OF GENEVA
CHINA CALT (Beijing) IEE (Beijing) IHEP (Beijing) NLAA (Beijing) SJTU (Shanghai) SEU (Nanjing) SYSU (Guangzhou) SDU (Jinan)
KOREA EWHA KYUNGPOOK NAT.UNIV.
PORTUGAL LAB. OF INSTRUM. LISBON
ACAD. SINICA (Taipei) CSIST (Taipei) NCU (Chung Li) TAIWAN TURKEY
METU, ANKARA
10
AMS is a U.S. DOE sponsored international collaboration
CERN provided assembly, testing and the Control Center
Strong support from R. Heuer, S. Lettow, S. Bertolucci, S. Myers, A. Siemko
, …11
DOE and NASA support
Former NASA Administrator Dan Goldin has supported AMS from the beginning.
Professors Jim Siegrist and Mike Salamon from DOE strongly support AMS.
Mr. William Gerstenmaier has visited AMS more than 10 times, at CERN, ESTEC, KSC.
AMS has received strong support from the NASA-JSC team of Trent Martin, Ken Bollweg, Tim Urban, Phil Mott, Craig Clark and many others.
11 11
12
Professors R. Battiston S.C. Lee S. Schael
5,248 straw tubes selected from 9,000, 2 m length centered to 100mm.
K. Luebelsmeyer, S. Schael
Transition Radiation Detector (TRD)
Identifies Positrons, Electrons by transition radiation and Nuclei by dE/dx
Completion of the TRD a 10 year effort
13
TRD performance on the Space Station
14
One of 20 layers
radiator
e ± p
electron proton
TRD classifier = -Log10(Pe)-2 TRD likelihood = -Log10(Pe)
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2
TRD estimator = -ln(P
e/(P
e+P
p))
10
-110
-210
-310
-410
-510
-610
-7Pr ob a bi li ty
Normalized probability Protons
Electrons
Measurement with 1 of the 20 TRD Layers !
Transition Radiation
ISS Data
1/N dn/2 ADC
10-2
10-3
10-4
10-5
Amplitude [ADC]
0 200 400 600 800 1000 1200 1400
Proton rejec tion at 90% e
+ef ficiency
Rigidity (GV)
• ISS data
TRD performance on the Space Station
70%
80%
90%
ε
e15
16
Xe storage: 49kg CO 2 Storage: 5kg
Lifetime: 5000g / 0.44g/d = 11364d = 31y
TRD Lifetime on the ISS
Time of Flight System
Measures Velocity and Charge of particles
x103
Velocity [Rigidity>20GV]
Event s
Velocity [Rigidity>20GV]
Event s
Plane 4
3, 4 H He
Li Be B C N O F Ne
Na Mg Al Si
Cl Ar K Ca Sc Ti V
P S Cr Fe
Ni Mn
Zn
Bologna
Prof. A. Contin, G. Laurenti, F. Palmonari
17 Professors A. Zichichi and V. Bindi
Z = 2
s = 80ps Z = 6
s = 48ps
Veto System rejects random cosmic rays
Measured veto efficiency better than 0.99999
18
Inner tracker alignment stability monitored with IR Lasers.
The Outer Tracker is continuously aligned with cosmic rays in a 2 minute window
1
5 6 3 4
7 8 9 2
ECAL Laser rays
Tracker
9 planes, 200,000 channels
The coordinate resolution is 10 mm.
19
Perugia (R. Battiston, G. Ambrosi, B. Bertucci, …) and Geneva (M.Pohl, …) groups
Tracker
20
Alignment accuracy of the 9 Tracker layers over 40 months
21
22
Measurement of Nuclear Charge (Z 2 ) and its Velocity to 1/1000
Particle
AMS Ring Imaging CHerenkov (RICH)
Θ
Intensity ⇒ Z
2⇒ V
Aerogel NaF
22
Z = 13 (Al)
P = 9.148 TeV/c Z = 20 (Ca)
P = 2.382 TeV/c
Z = 26 (Fe)
P = 0.795 TeV/c
23
10,880
photosensors
50,000 fibers, f =1mm, distributed uniformly inside 600 kg of lead which provides a precision, 3-D, 17X
0measurement
of the directions and energies of e
±to TeV
Calorimeter (ECAL)
Prof. F. Cervelli, M. Incagli
,24 LAPP
(
S. Rosier, J.P. Vialle,..), IHEP (H. S. Chen, …)Calorimeter (ECAL): Test beams at CERN
25 Boosted Decision Tree (BDT):
3D shower shape
protons
ε
e = 90% electronsData: 83–100 GeV
ECAL estimator
Fraction of events
Energy(GeV) E beam (GeV)
Electron/Proton Separation on ISS
Energy res oluti on (% ) DQ
68(
o)
Proton rejection: 1. ECAL 3-D Shower Shape of e ±
2. P from the Tracker = E from ECAL
Rigidity (GV)
26Tracker
1
2
7-8 3-4
9 5-6
Tracker: P
ECAL: E
Data from ISS
Extensive tests and calibration at CERN
AMS 27 km
7 km
19 January 2010
θ
Φ
27
Particle Momentum (GeV/c) Positions Purpose
Protons 400 + 180 1,650
Full Tracker alignment, TOF calibration, ECAL uniformity
Electrons 100, 120, 180, 290 7 each TRD, ECAL performance study Positrons 10, 20, 60, 80, 120, 180 7 each TRD, ECAL performance study Pions 20, 60, 80, 100, 120, 180 7 each TRD performance to 1.2 TeV
AMS in SPS Test Beam, 2010
28
Academia Sinica, Acad. S.C. Lee CSIST, General Hao Jinchi
To get one board working on orbit, we needed to make ~10 boards In total: 464 boards on orbit of 70 different types.
A.Lebedev X.Cai V.Koutsenko
M.Capell A.Kounine
MIT team
29
Electronics
May 16, 2011
May 16, 2011
30
CERN Director General
visits KSC, April 4, 2011
AMS Operations
White Sands, NM TDRS Satellites
A. Lebedev M. Capell
V. Koutsenko X. Cai
24 hours x 365 days x 10-20 years
A. Rozhkov
J. Burger
ISS Astronaut with AMS Laptop
31
POCC at CERN
24/7, 365d/y
Example: ECAL Temperature changes from -10
oC to 30
oC over 9 months
0oC 10o 20o 30o
1.7.11 1.9.11 1.11.11 1.1.12 1.3.12
-10o 1.5.11
ECAL
Large temperature variations
Thermal Operations
AMS has no control of the Space Station orientation
32
32
SDU (Prof. Cheng Lin) has made major
contributions to the thermal operations
In 4 years on ISS,
AMS has collected >60 billion cosmic rays.
To match the statistics,
systematic errors studies have become important.
33
AMS is a very precise particle physics detector.
The data was analysed by at least two independent AMS international teams
M. Incagli
S. Schael V. Choutko A. Kounine J. Berdugo
S. Rosier-Lees B. Bertucci
S. Haino, A. Oliva P. Zuccon Z. Weng
M. Duranti M. Capell H. Gast I. Gebauer J. Casaus L. Derome
M. Pohl
34
M. Heil
IN2P3 – LYON
FZJ – Juelich
INFN MILANO BICOCCA CNAF – INFN BOLOGNA ASDC – ROME
CIEMAT – MADRID
AMS@CERN – GENEVA
NLAA – BEIJING SEU – NANJING
ACAD. SINICA – TAIPEI
AMS Data Analysis
Conducted at the Science Operations Center at CERN and in the regional centers around the world.
35
The isotropic proton flux Φ
ifor the i
thrigidity bin (R
i, R
i+ΔR
i) is
N
iis the number of events, 300 million proton events have been selected;
A
iis the effective acceptance;
ε
iis the trigger efficiency;
T
iis the collection time (which depends on the geomagnetic cutoff).
To match the statistics, extensive systematic errors study has been made .
36
To be presented by V. Choutko (MIT)
Systematic errors on the Proton Flux:
1) σ
trig.:trigger efficiency 2) σ
acc.:
a. the acceptance and event selection b. background contamination
c. geomagnetic cutoff 3) σ
unf.
a. unfolding
b. the rigidity resolution function
4) σ
scale.: the absolute rigidity scale
37
300 million events
AMS proton flux
AMS-02
38
39
AMS proton flux
Solid curve fit of Eq. Φ to the data.
(Fit to data above 45 GV: χ
2/d.f.= 25 /26) Dashed curve uses the same fit
values but with Δ set to zero.
Φ Φ Φ
40
AMS proton flux fit with two power laws:
R , R +Δ with a characteristic transition rigidity R 0
and smoothness s
41
AMS proton spectral index variation:
Model independent measurement of spectral index
Spec tr al Inde x = d log (Φ)/ d log (R)
2011
2012
2013
2011-2013
Spectral index of the proton flux for 2011 to 2013
Measuring electrons and positrons
TRD
(transition radiation) to identify e
±ECAL
(shower shape) to separate e
±from protons ECAL measures E Tracker measures p
e ± : E=p proton: E<p
43
Probability
proton electron
proton electron
proton electron
TRD estimator
ISS data:83-100 GeV
E/p
Boosted Decision Tree, BDT:
ECAL BDT ISS data:83-100 GeV
ε
e=90%Normalized entitiesFraction of events ISS data:83-100 GeV
Physics of 11 million e + , e - events
Collision of “ordinary” Cosmic Rays produce e+, p..
Collisions of Dark Matter (neutralinos, ) will produce additional e+, p, …
The Origin of Dark Matter
~ 90% of Matter in the Universe is not visible and is called Dark Matter
Donato et al., PRL 102, 071301 (2009)
Antiprotons: + p + … m= 1 TeV Positrons: + e
++ …
m=800 GeV
I. Cholis et al., JCAP 0912 (2009) 007 m=400 GeV
e± energy [GeV]
e + /(e + + e - )
To be presented by A.Kounine (MIT)
To identify the Dark Matter signal we need 1. Measurement of e
+, e
−and p.
2. Precise knowledge of the cosmic ray fluxes (p, He, C, …) 3. Propagation and Acceleration (Li, B/C, …)
44
45
11 million e + , e - events AMS-02
Po sit ron Frac tion
Verification of Positron Fraction with two independent samples
Positron fraction analysis with TRD Only
Good agreement between two independent samples
46
TRD
e
-ECAL
Outside ECAL vs inside ECAL
Po sitr on fra ctio n
47
Positron Fraction from AMS
The energy beyond which it ceases to increase.
48
Energy [GeV]
11 million e + , e - events
49
200 400 600 800 1000
0 0.05 0.1 0.15
0.2
e ± energy [GeV]
Positron fracti on
Pulsars
Collision of cosmic rays
m = 700 GeV
275±32 GeV
Current status
The expected rate at which it falls
beyond the turning point.
50
e ± energy [GeV]
Positron fracti on
Pulsars
Collision of cosmic rays
m = 700 GeV
275±32 GeV
In 10 years from now
The expected rate at which it falls
beyond the turning point.
N e± is the number of electron or positron events A eff is the effective acceptance
ε trig is the trigger efficiency T is the exposure time
Measurement of the flux of electrons and positrons
to be presented by Professor S. Schael (RWTH-Aachen)
51Electron flux
(before AMS)
52
Electron Flux
53
Electron Flux
54
See O. Adriani et al., PRL 111 (2013) 081102
30 25 20 15 10 5
Positron flux
(before AMS)
55
Positron Flux
56
Positron Flux
57
1. The electron flux and the positron flux are different in their magnitude and energy dependence.
2. Both spectra cannot be described by single power laws.
3. The spectral indices of electrons and positrons are different.
4. Both change their behavior at ~30GeV.
5. The rise in the positron fraction from 20 GeV is due to an excess of positrons, not the loss of electrons (the positron flux is harder).
Observations:
The Electron Flux and the Positron Flux
58
spectral index = d log (Φ)/ d log (E)
The (e + + e - ) flux before AMS
59
Combined (e + + e - ) Flux: event selection
TRD:
identifies electron
Tracker and Magnet:
ECAL: identifies electron and measures its energy
bending view
Independent of charge sign measurement no charge confusion High selection efficiency : 70% @ TeV
Small systematics on acceptance: 2% @ TeV
To be presented by Professor Bruna Bertucci (INFN-Perugia)
60Energy (GeV)
1 10 10 2 10 3
) -1 s r s e c ] 2 [ m 2 ( G e V F ´ 3 E
0 50 100 150 200 250 300 350
400
AMS-02ATIC
BETS 97&98 PPB-BETS 04 Fermi-LAT HEAT H.E.S.S.
H.E.S.S. (LE)
AMS Results: (e + + e - ) flux
Energy Range: 0.5 GeV to 1 TeV
61
= d log (Φ)/ d log (E)
Spe ctral Index
62
γ=−3.170 ± 0.008 (stat + syst.) ± 0.008 (energy scale) E > 30 GeV
Φ(e + +e − ) = C E
The flux is consistent with a single power law above 30 GeV.
63
64
TRD
ECAL
RICH
MAGNET AC C
Tracker
2 3-4 5-6 7-8
Antiproton event:
R = −423 GV
Antiproton/proton ratio
9
1
To be presented by
A. Kounine (MIT)
65
AMS p/p results
66
AMS p/p results
AMS p/p results and modeling
67
Collision of “ordinary” Cosmic Rays produce e+, p..
Collisions of Dark Matter (neutralinos, ) will produce additional e+, p, …
The Origin of Dark Matter
e± energy [GeV]
To identify the Dark Matter signal we need 1. Measurement of e+, e−, and p-bar.
2. Precise knowledge of the cosmic ray fluxes (p, He, C, …) 3. Propagation and Acceleration (Li, B/C, …)
AMS p/p results and modeling
11 million e+, e- events
68
c c
p, p, e - , e + , g
p, p, e - , e + , g
Annihilation
Sc at tering
Production
LHC
LUX
DARKSIDE XENON 100 CDMS II
…
AMS, Fermi-LAT, HESS, …
Three independent methods to search for Dark Matter
,...
,
,
e
p
p p
...
69
e
e
p, p, e - , e + , g
p, p, e - , e + , g
Annihilation
Sc at tering
Production
BNL, FNAL, LHC …CP, J, Υ, t, Z, W, h 0
SLA C … part on s, electrowea k
SPEAR, DORIS, PEP, PETRA, LEP, … Ψ, τ
Physics of electrons and protons
, ,
,
,
e p p e e e
p p
e
e
...
70
Measurement of Nuclei with AMS
AMS: Multiple Independent Measurements of the Charge (|Z|)
Carbon (Z=6)
ΔZ (cu) 0.30
0.12
0.32 0.30 0.33 0.16
0.16
Tracker
1
2
7-8 3-4
9 5-6
71
1. Tracker Plane 1
6. RICH
4. Tracker Planes 2-8
7. Tracker Plane 9 2. TRD
3. Upper TOF (1 counter)
5. Lower TOF (1 counter)
H He
Li Be B C
N O
F Ne Na
Mg
Al Si
Cl Ar K Ca Sc V Cr P S
Fe
Ni
Ti
MnCo
AMS Nuclei Measurement on ISS
72
To be presented by V. Choutko, L. Derome, S. Haino, M. Heil, A. Oliva
73
AMS Helium Flux
To be presented by S. Haino (Academia Sinica, Taiwan)
50 million events
74
AMS Helium Flux
75
Fit to data with Δγ=0
AMS Helium Flux
Solid curve fit of Eq. Φ to the data.
(Fit to data above 45 GV: χ
2/d.f.= 20.5 /27) Dashed curve uses the same fit
values but with Δ set to zero.
Model Independent
Spectral Indices Comparison
76
= d log (Φ)/ d log (R)
proton/He flux ratio
77
16-04-2015 AMS days - He flux
Single power law fit (R > 25 GV)
Φ p /Φ He = C R γ
77
78 AMS
Orth et al (1978) Juliusson et al (1974)
AMS Lithium flux – current status
To be presented by L. Derome (LPSC, Grenoble)
Slope changes at about the same rigidity as for protons and helium
79Lithium flux with two power law fit
Rigidity (GV)
10 10
210
3B o ro n -t o -C a rb o n
0.03 0.04 0.05 0.06 0.1 0.2 0.3
0.4 B/C Ratio
Exposure time of 40 months 7M Carbons, 2M Borons
Kinetic Energy (GeV/n)
1 10 10 2
B o ro n -t o -C a rb o n R a ti o
0.03 0.04 0.05 0.06 0.1 0.2 0.3 0.4
Orth et al. (1972)
Dwyer & Meyer (1973-1975) Simon et al. (1974-1976) HEAO3-C2 (1980)
Webber et al. (1981) CRN-Spacelab2 (1985) Buckley et al. (1991) AMS-01 (1998)
ATIC-02 (2003) CREAM-I (2004) TRACER (2006) PAMELA (2014) AMS-02
To be presented by A. Oliva (CIEMAT)
80Kinetic Energy (GeV/n)
1 10 10
210
3B o ro n -t o -C a rb o n R a ti o
0.02 0.03 0.04 0.05 0.1 0.2 0.3 0.4
AMS-02
PAMELA (2014) TRACER (2006) CREAM-I (2004) ATIC-02 (2003) AMS-01 (1998) Buckley et al. (1991) CRN-Spacelab2 (1985) Webber et al. (1981) HEAO3-C2 (1980)
Simon et al. (1974-1976) Dwyer & Meyer (1973-1975) Orth et al. (1972)
B/C Ratio converted in Kinetic Energy
Cowsik et al. (2014)
Fit to positron fraction by secondary production model
81
In the past hundred years, measurements of charged cosmic rays by balloons and satellites have typically
contained ~30% uncertainty.
AMS is providing cosmic ray information with ~1% uncertainty.
The improvement in accuracy will provide new insights.
The Space Station has become a unique platform for precision physics research.
82
Collision of “ordinary” Cosmic Rays produce e+, p..
Collisions of Dark Matter (neutralinos, ) will produce additional e+, p, …
The Origin of Dark Matter
e± energy [GeV]
To identify the Dark Matter signal we need 1. Measurement of e+, e−, and p-bar.
2. Precise knowledge of the cosmic ray fluxes (p, He, C, …) 3. Propagation and Acceleration (Li, B/C, …)
AMS p/p results and modeling
11 million e+, e- events
83
The Electron Flux and the Positron Flux
spectral index = d log (Φ)/ d log (E)
γ=−3.170 ± 0.008 (stat + syst.) ± 0.008 (energy scale) E > 30 GeV
Φ(e
++e
−) = C E
Energy [GeV]
84
85
AMS proton flux
AMS Helium Flux
Lithium flux
Rigidity (GV)
10 102 103
Boron-to-Carbon
0.03 0.04 0.05 0.06 0.1 0.2 0.3
0.4
B/C Ratio
Exposure time of 40 months 7M Carbons, 2M Borons
Kinetic Energy (GeV/n)
1 10 10
2B o ro n -t o -C a rb o n R a ti o
0.03 0.04 0.05 0.06 0.1 0.2 0.3 0.4
Orth et al. (1972)
Dwyer & Meyer (1973-1975) Simon et al. (1974-1976) HEAO3-C2 (1980) Webber et al. (1981) CRN-Spacelab2 (1985) Buckley et al. (1991) AMS-01 (1998) ATIC-02 (2003) CREAM-I (2004) TRACER (2006) PAMELA (2014) AMS-02
Boron -to -Ca rbon
Rigidity [GV]
86
The latest AMS measurements of the positron fraction, the
antiproton/proton ratio, the behavior of the fluxes of
electrons, positrons, protons, helium, and other nuclei
provide precise and unexpected information. The accuracy
and characteristics of the data, simultaneously from many
different types of cosmic rays, require a comprehensive
model to ascertain if their origin is from dark matter,
astrophysical sources, acceleration mechanisms or a
combination.
AMS Days at CERN
The Future of Cosmic Ray Physics and Latest Results
CERN, Main Auditorium, April 15-17, 2015
Wednesday, 15 April 2015
Thursday, 16 April 2015
Friday, 17 April 2015
08:00 T. Slatyer, CTP, MIT
Scrutinizing Possible Dark Matter Signatures with AMS, Fermi, and Planck 08:30 J. R. Ellis, King’s College, London, CERN Super-symmetric Dark Matter
09:30 A. Oliva, CIEMAT
AMS Results on Light Nuclei - B/C 09:45 L. Derome, LPSC, Grenoble AMS Results on Light Nuclei - Li 10:00 M. Heil, MIT
AMS Results on Light Nuclei - C/He 10:15 Break
10:30 Y. L. Wu, UCAS/ITP, CAS
Implications of AMS02 Experiment 11:15 A. Olinto, Chicago
The Highest Energy Cosmic Particles 12:15 M. Fukushima, Tokyo
Recent Results on Ultra-High Energy Cosmic Rays from the Telescope Array 12:45 Lunch
13:30 E.-S. Seo, Maryland
Cosmic Ray Energetics and Mass:
From Balloons to the ISS 14:30 W. Hofmann, MPI Heidelberg Latest Results from HESS and the Progress of CTA
15:30 G. Kane, Michigan
Are there currently well-motivated and phenomenologically allowed dark matter candidates (besides axions)
16:30 Break
16:45 M. Salamon, DOE
The Cosmic Frontier at DOE 17:15 R. Battiston, ASI, Trento What next in fundamental and particle physics in space ?
17:45 S. Ting, MIT, CERN Summary
08:30 B. Bertucci, Perugia
The (e− plus e+) Spectrum from AMS 09:00 V. Choutko, MIT
The Proton Spectrum from AMS 09:30 S. Haino, Academia Sinica, Taiwan The Helium Spectrum from AMS 10:00 Break
10:15 L. Randall, Harvard
Indirect Detection: Enhanced Density Models and Antideuteron Searches
11:15 S. Sarkar, Oxford, Niels Bohr Inst.
Background to Dark Matter Searches from Galactic Cosmic Rays
12:15 Lunch
14:00 P. Picozza, INFN, Rome Tor Vergata The JEM-EUSO Program
15:00 F. Halzen, Wisconsin Latest Results from Ice Cube 16:00 Break
16:15 A. Watson, Leeds
Latest Results from the Pierre Auger Observatory and Future Prospects in particle physics and high energy astrophysics with cosmic rays 17:15 P. Michelson, Stanford Latest Results from Fermi-LAT 18:15 Break
18:30 E. C. Stone, Caltech
Public Lecture: The Odyssey of Voyager 08:30 R. Heuer, CERN
Welcome
09:00 S. Ting, CERN, MIT
Introduction to the AMS Experiment 10:00 A. Kounine, MIT
Latest AMS Results: The Positron Fraction and the p-bar/p ratio
11:00 Break
11:15 S. Schael, RWTH-Aachen
The e− Spectrum and e+ Spectrum from AMS 11:45 Lunch
13:00 F. Zwirner, Padova, CERN
New Physics, Dark Matter and the LHC 14:00 J. L. Feng, UC Irvine
Complementarity of Indirect Dark Matter Detection 15:00 I. V. Moskalenko, Stanford
Cosmic Rays in the Milky Way and Other Galaxies 16:00 Break
16:15 K. Blum, IAS, Princeton
It's about time: interpreting AMS antimatter data in terms of cosmic ray propagation 17:00 V. S. Ptuskin, IZMIRAN
Acceleration and Transport of Galactic Cosmic R 18:00 Break
18:15 W. Gerstenmaier, NASA
Public Lecture: Human Space Exploration
AMS
Contact: Ms. Laurence Barrin
<laurence.barrin@cern.ch>
08:30-12:00 Chairman: R Heuer
16:15 - 18:15 Chairman: H. Schopper
08:30-12:45 Chairman: F. Linde 14:00-18:15 Chairman: Y.F. Wang
08:00-10:15 Chairman: A. Yamamoto 13:30-17:45 Chairman: J. Trümper
10:30-12:45 Chairman: F. Gianotti
18:15 S. Ting
13:00 - 16:15 Chairman: F. Ferroni
18:15 R. Heuer