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Radio detection of air showers with LOFAR
Anna Nelles
Cosmic Ray Key Science Project:
S. Buitink, A. Corstanje, J.E. Enriquez, H. Falcke, W. Frieswijk, J.R. Hörandel, T. Karskens, A.Nelles, J. Rachen, S. Thoudam, P.Schellart, O.Scholten, S. ter Veen, G.Trinh
E [eV]1510 1610 1710 1810 1910 2010 2110 2210
]1.
5 e
V-1
sr
-1 s
-2 J
(E) [
m!
2.5
E
1210
1310
1410
1510
1610
1710
1810 Pierre Auger Collaboration (2013)
HiRes I (2007)
HiRes II (2007)
KASCADE Grande (2012)
KASCADE (2005)
LOPES
LOFAR
AERA (Pierre Auger Observatory)
LOFAR Nu Moon
Anna Nelles, LOFAR Community Science 2014
Why radio detection of cosmic rays?
2
Figure 8: Left panel: Auger data [37] for !Xmax" as function of the energy (left panel) andfor RMS(Xmax), the width of the distribution over Xmax, (right panel). The calculatedvalues for protons and Iron are given according to QGSJET01 [38] and QGSJET II [39]models. One can see from the right panel that RMS distribution becomes more narrowwith increasing energy which implies a progressively heavier mass composition.
is in a reasonably good agreement with the theoretical prediction, thoughbetter statistics at higher energies is still needed for a final conclusion.
The integral energy spectrum of UHE protons, Jp(> E), has another spe-cific characteristic of the GZK cuto!, the energy E1/2 [33]. It is based onthe observation that the calculated integral spectrum below 50 EeV is wellapproximated by a power-law function: Jp(> E) # E!!̃ . At high energythis spectrum is steepening due to the GZK e!ect. The energy where thissteep part of the spectrum equals to the half of its power-law extrapolation,Jp(> E) = KE!!̃, defines the value of E1/2. This quantity is found to bepractically model-independent; it equals to E1/2 = 1019.72eV $ 52.5 EeV [33].Fig. 7 demonstrates how the HiRes collaboration found E1/2 from observa-tional data [40]. The ratio of the measured integral spectrum J(> E) andthe low-energy power-law approximation KE!!̃ was plotted as a function ofenergy. This ratio is practically constant in the energy interval 0.3%40 EeV,indicating that the power-law approximation is a good fit, indeed. At higherenergy the ratio falls down and intersects the horizontal line 0.5 at the energydefined as E1/2. It results in E1/2 = 1019.73±0.07 eV, in an excellent agreementwith the predicted value.
Thus, one may conclude that the HiRes data presented in Fig. 7 indicatethe proton-dominated chemical composition and the presence of the GZKcuto! in both di!erential and integral spectra. The conclusion about protoncomposition is further supported by the recent TA data [26].
13
Berezinsky, 2013
Key to answer question:
• large number of events, i.e. long duty-cycle
• information about mass of every air shower need
At the “End” of the spectrum:
• accelerators reach limit?• propagation cut-off?• transition of sources?• sources still unknown
Anna Nelles, LOFAR Community Science 2014
Measuring Air Showers
3
coherentE-Field
x [m]-200 -100 0 100 200 300
y [m
]
-300
-200
-100
0
100
200
Low-BandHigh-Band
LORA (Scintillator)
Central Core of LOFAR
Radio pulses
Distance to shower axis [m]0 50 100 150 200
Tota
l Int
egra
ted
Sign
al [A
DU
]
-710
-610
Anna Nelles, LOFAR Community Science 2014
Measuring Air Showers
4
Trigger from LORA particle detectors
Ongoing observation
Analysis Pipeline(Cluster at Nijmegen)
Read-out Buffers
Power, Polarization, Timing per antenna
Anna Nelles, LOFAR Community Science 2014
Detected air showers
5
LBA: 10 - 90 MHz HBA: 110 - 230 MHz
• low-band antennas• main tool for analysis• stronger signals expected
• high-band antennas• smaller beam, less dedicated time• only experiment in this frequency
range
magnetic field
Anna Nelles, LOFAR Community Science 2014
Measuring Cherenkov rings
6
110 - 190 MHz
• higher frequency-range: dominance of relativistic time-compression• first experiment to observe these in
single events
Nelles et al, submitted to Astroparticle Physics
Anna Nelles, LOFAR Community Science 2014
More details: Using simulations
7
2 Simulations at low frequencies
The main motivation for the development of modern radio emission theory werethe pioneering experiments LOPES and CODALEMA working at frequencyranges of tens of MHz. A lot of progress has been made in recent years inthe study of the air shower radio emission, and simulations have always beena fundamental guideline for interpreting the measurements. One of the mostimportant goals for radio detection is to reliably reconstruct the energy andmass of the primary cosmic rays. Figure 1 illustrates two important aspectsthat such analyses have to take into account: First, the footprint of the radiosignal total field strength exhibits significant asymmetries. They result fromthe well-understood superposition of the dominant geomagnetic and sub-leadingcharge excess components of the radiation. In particular when fitting a lateraldistribution function to radio measurements, these asymmetries have to be takeninto account. Second, it becomes obvious immediately that there can be verysignificant di!erences between the lateral distribution functions of radio signalsemitted by proton-induced air showers (deeper shower maximum) and iron-induced air showers (shallower shower maximum). Naturally, shower-to-showerfluctuations wash out these signatures, yet they can still be exploited in practice(Huege et al., 2008; Palmieri et al., 2012).
-200-100
0 100
200
east [m]-200
-100 0
100 200
north [m]
0
50
100
150
200
250
0
50
100
150
200
250
field
stre
ngth
[µV/
m]
-200-100
0 100
200
east [m]-200
-100 0
100 200
north [m]
10 20 30 40 50 60 70 80 90
10 20 30 40 50 60 70 80 90
field
stre
ngth
[µV/
m]
Figure 1: Footprints of the 40-80 MHz total field strength for vertical 1017 eVair showers induced at the LOPES site by a proton (left) and an iron (right)primary. Please note the di!erent absolute scaling. Both the asymmetry of thefootprint and the systematically di!erent slope of the lateral distribution causedby the di!erent depths of shower maximum are obvious.
The interaction of the geomagnetic and charge excess components of theradio emission from a vertical air shower are illustrated in some more depth inFigure 2. In the middle, the inner 100 m radius of the radio footprint are shown.At the outside, scatter plots of the north-south component versus the east-westcomponent of the electric field vector as a function of time as observed at variousobserver positions at 100 m radius illustrate the polarisation characteristics ofthe radio signal. For observers in the east, the geomagnetic and charge excesscomponents superpose constructively, the resulting polarisation is purely lineareast-west. Similarly, for observers in the west, the two components interferedestructively. This is the reason for the asymmetry already observed in Figure 1.
3
CoREAS simulation, Huege et al. 2013
Simulations now describe the radio signal adequately:
• based on air shower simulations, including a realistic atmosphere
• complex pattern in 2D
• asymmetry through interference of emission mechanisms with different directions of electric fields
• geomagnetic effect• charge excess
• additional relativistic time-compression
Anna Nelles, LOFAR Community Science 20148
More details: Using simulations
•Power pattern on the in shower plane strongly dependent on height of shower maximum
• direct comparison to simulations: Xmax can be fitted per event (Stijn Buitink, this session)
•One simulation > 1 week => parameterization to speed up process
Signal distribution (10-90 MHz) : same energy, same arrival direction, different Xmax
v x B
v x v x B
v: direction of showerB: magnetic field
Anna Nelles, LOFAR Community Science 2014
Parameterization of the signal
9
• From shape considerations: Gaussian + inverted Gaussian
Anna Nelles, LOFAR Community Science 2014
Parameterization of the signal
10
log (Energy [eV])16 16.5 17 17.5 18 18.5 19
+lo
g A
-13
-12
-11
-10
-9
-8
-7
]2 [g/cmmaxDistance to X0 200 400 600 800 1000 1200 1400
[m]
+!
50
100
150
200
250
300
•All fit parameters relate to physical quantities:•Energy•Distance to the shower maximum, Xmax
•Influence of the interplay between emission mechanisms
•very good handle on data analysis not requiring excessive Monte Carlo simulations
Energy Xmax
Anna Nelles, LOFAR Community Science 2014
Parameterization of the signal
11
•All LOFAR data can be fitted by this function
•Exception: data taken during thunderstorms and non-cosmic ray pulses
Nelles et al, submitted to Astroparticle Physics,arxiv:1402:2872
Anna Nelles, LOFAR Community Science 2014
What is next?
12
Absolute Calibration (LBA)
• V/m instead of ADU
• cross-calibration campaign in the field scheduled May 2014
• in cooperation with other experiment
• “dominant noise is the Galaxy”=> RMS of voltage traces can be predicted
Galactic Longitude
Gal
actic
Lat
itude
+ Antenna Model
Anna Nelles, LOFAR Community Science 2014
Understanding the antenna model
13
v x B direction
v x
v x
B d
irect
ion
Frequency component
• resonance frequency at observed position
• spectrum not fully flat, slight discrepancies observed
Directional Dependence
• current antenna model reconstructs direction of measured electric field accurate for polarization studies with cosmic rays
• Polarization in v x B expected• Reconstruction confirms this
Anna Nelles, LOFAR Community Science 2014
Conclusions
14
•Successful measurements of air showers with LOFAR since June 2011
• First detection of Cherenkov ring at 110-230 MHz
•Data-set delivers excellent results
•Signal in LBA can be parameterized using a double Gaussian with 5 parameters:• position of on ground• scaling factor ~ energy•width or slope factor ~ shower maximum• offset factor
•Antenna model now more reliable
•Absolute calibration planned