Multi-Messenger Astonomy with Cen A? Michael Kachelrieß NTNU, Trondheim []
Outline of the talk 1 Introduction 2 Dawn of charged particle astronomy? Expectations vs. Auger data Effects of cluster fields 3 Multi-messenger astronomy with Cen A? 4 Conclusions
Outline of the talk 1 Introduction 2 Dawn of charged particle astronomy? Expectations vs. Auger data Effects of cluster fields 3 Multi-messenger astronomy with Cen A? 4 Conclusions
Outline of the talk 1 Introduction 2 Dawn of charged particle astronomy? Expectations vs. Auger data Effects of cluster fields 3 Multi-messenger astronomy with Cen A? 4 Conclusions
Outline of the talk 1 Introduction 2 Dawn of charged particle astronomy? Expectations vs. Auger data Effects of cluster fields 3 Multi-messenger astronomy with Cen A? 4 Conclusions
1910: Father Wulf measures ionizing radiation in Paris 80m: flux/2
1910: Father Wulf measures ionizing radiation in Paris 300m: flux/2 80m: flux/2
What do we know 98 years later? solar modulation LHC
What do we know 98 years later? solar modulation only two bits of information? exponent α of dn/de 1/E α chemical composition, uncertain at UHE LHC
PAO data: energy spectrum
PAO data: energy spectrum )) -1 s -1 sr -1 ev -2 lg(j/(m 18 3 10-31 -32-33 -34-35 -36-37 7275 41722634 19 10 19 2 10 19 4 10 1804 1229824 561 405 259 171 105 74 31 19 11 20 10 7 E (ev) 20 2 10 1 )-1-2.69 J/(AxE 1 0.5 0 Auger HiRes I -0.5-1 18.4 18.6 18.8 19 19.2 19.4 19.6 19.8 20 20.2 20.4 lg(e/ev)
PAO data: energy spectrum )) -1 s -1 sr -1 ev -2 lg(j/(m 18 3 10-31 -32-33 -34-35 -36-37 7275 41722634 19 10 19 2 10 19 4 10 20 10 1804 1229824 561 405 259 171 105 74 31 19 11 7 E (ev) 20 2 10 E 1/2 consistent with GZK suppression 1 )-1-2.69 J/(AxE 1 0.5 0 Auger HiRes I -0.5-1 18.4 18.6 18.8 19 19.2 19.4 19.6 19.8 20 20.2 20.4 lg(e/ev)
PAO data: chemical composition ] 2 <X max > [g/cm 850 Auger ICRC07 800 750 700 650 proton 114 185 272 307 241 325 454 402 489 410 511 278 iron 74 30 13 QGSJETII-03 QGSJET01 SIBYLL2.1 EPOS1.6 18 10 19 10 E [ev]
PAO data: chemical composition ] 2 <X max > [g/cm 850 Auger ICRC07 800 750 700 650 proton 114 185 272 307 241 325 454 402 489 410 511 278 iron 74 30 13 QGSJETII-03 QGSJET01 SIBYLL2.1 EPOS1.6 18 10 19 10 E [ev] limits strongly all top-down or Z burst models
PAO data: chemical composition ] 2 <X max > [g/cm 850 Auger ICRC07 800 750 700 650 proton 114 185 272 307 241 325 454 402 489 410 511 278 iron 74 30 13 QGSJETII-03 QGSJET01 SIBYLL2.1 EPOS1.6 18 10 19 10 E [ev] limits strongly all top-down or Z burst models points to heavier composition at UHE
PAO data: chemical composition ] 2 <X max > [g/cm 850 Auger ICRC07 800 750 700 650 proton 114 185 272 307 241 325 454 402 489 410 511 278 iron 74 30 13 QGSJETII-03 QGSJET01 SIBYLL2.1 EPOS1.6 18 10 19 10 E [ev] limits strongly all top-down or Z burst models points to heavier composition at UHE supported by fluctuations of X max
What is the bonus of UHECR astronomy? astronomy with VHE photons restricted to few Mpc: 22 radio 20 18 log10(e/ev) 16 photon horizon γγ e + e CMB 14 IR 12 10 kpc GC 10kpc 100kpc Mpc Virgo 10Mpc 100Mpc Gpc
What is the bonus of UHECR astronomy? astronomy with VHE photons restricted to few Mpc: astronomy with HE neutrinos: large λ ν, but also large uncertainty δϑ > 1
What is the bonus of UHECR astronomy? astronomy with VHE photons restricted to few Mpc: astronomy with HE neutrinos: large λ ν, but also large uncertainty δϑ > 1 small event numbers: < few/yr for PAO or ICECUBE identification of steady sources challenging
What is the bonus of UHECR astronomy? 22 20 proton horizon 18 log10(e/ev) 16 photon horizon γγ e + e CMB 14 IR 12 10 kpc GC 10kpc 100kpc Mpc Virgo 10Mpc 100Mpc Gpc
What is the bonus of UHECR astronomy? 22 20 proton horizon 18 log10(e/ev) 16 14 12 10 kpc photon horizon γγ e + e use larger statistics of UHECRs well-suited horizon scale small enough deflections in magnetic fields? GC Virgo 10kpc 100kpc Mpc 10Mpc 100Mpc CMB IR Gpc
Energy losses, the dip and the GZK cutoff 1e-07 1e-08 (1/E)*dE/dt [1/yr] 1e-09 pion production pair production 1e-10 redshift 1e-11 18 18.5 19 19.5 20 20.5 21 21.5 log10(e/ev) at E 4 10 19 ev: N + γ 3K N + π starts and reduces free mean path to 20 Mpc pair production leads to a dip at 10 19 ev
Possible anisotropies of extragalactic CRs: 1 Dipole anisotropy cosmolog. Compton-Getting effect induced by motion of Sun relative to cosmological rest frame requires λ CR (E) > λ LSS
Possible anisotropies of extragalactic CRs: 1 Dipole anisotropy cosmolog. Compton-Getting effect induced by motion of Sun relative to cosmological rest frame requires λ CR (E) > λ LSS 2 Anisotropies on medium scales z 0.2: spots with l 20 40 degrees reflects LSS of matter, modified by B requires λ CR (E) < few λ LSS
Possible anisotropies of extragalactic CRs: 1 Dipole anisotropy cosmolog. Compton-Getting effect induced by motion of Sun relative to cosmological rest frame requires λ CR (E) > λ LSS 2 Anisotropies on medium scales z 0.2: spots with l 20 40 degrees reflects LSS of matter, modified by B requires λ CR (E) < few λ LSS 3 Small-scale clustering Small-scale angular resolution of experiments CR from the same (?) point sources requires small qb/e and small N s
Possible anisotropies of extragalactic CRs: 1 Dipole anisotropy cosmolog. Compton-Getting effect induced by motion of Sun relative to cosmological rest frame requires λ CR (E) > λ LSS 2 Anisotropies on medium scales z 0.2: spots with l 20 40 degrees reflects LSS of matter, modified by B requires λ CR (E) < few λ LSS 3 Small-scale clustering Small-scale angular resolution of experiments CR from the same (?) point sources requires small qb/e and small N s 4 Correlations with specific sources requires small qb/e and small N s
Correlations with AGNs: Auger analysis AGN from VCC catalogue:
Correlations with AGNs: Auger analysis first data set with data < May 2006 to fix cuts: E th = 56EeV, l 0 = 3.1 and d 75Mpc.
Correlations with AGNs: Auger analysis first data set with data < May 2006 to fix cuts: E th = 56EeV, l 0 = 3.1 and d 75Mpc. second data set May 2006 August 2007: 13 events, 8 correlated, 2.7 expected p ch 2 10 3
Correlations with AGNs: Auger analysis first data set with data < May 2006 to fix cuts: E th = 56EeV, l 0 = 3.1 and d 75Mpc. second data set May 2006 August 2007: 13 events, 8 correlated, 2.7 expected p ch 2 10 3 just a 3 σ effect, test against isotropy, no propagation
Correlations with AGNs: Auger analysis first data set with data < May 2006 to fix cuts: E th = 56EeV, l 0 = 3.1 and d 75Mpc. second data set May 2006 August 2007: 13 events, 8 correlated, 2.7 expected p ch 2 10 3 just a 3 σ effect, test against isotropy, no propagation AGN or something with similar distribution?
Correlations with AGNs: PAO analysis 27 CRs ( ) and 472 AGN ( ):
Correlations with AGNs: PAO analysis 27 CRs ( ) and 472 AGN ( ): Virgo does not contribute [Gorbunov et al. 08 ]
Energy threshold consistent with GZK horizon? 8 out of 13 CRs (E 57EeV) correlated within 75 Mpc: 1000 10 % 30 % 50 % 70 % 90 % 100 R [Mpc] 10 1 1e+19 1e+20 1e+21 E [ev]
Energy threshold consistent with GZK horizon? 8 out of 13 CRs (E 57EeV) correlated within 75 Mpc: 1000 10 % 30 % 50 % 70 % 90 % 100 R [Mpc] 10 1 1e+19 1e+20 1e+21 E [ev]
Energy threshold consistent with GZK horizon? 8 out of 13 CRs (E 57EeV) correlated within 75 Mpc: 1000 10 % 30 % 50 % 70 % 90 % 100 R [Mpc] 10 under-estimation of energy scale? or iron? or fake? 1 1e+19 1e+20 1e+21 E [ev]
Energy threshold consistent with GZK horizon? 8 out of 13 CRs (E 57EeV) correlated within 75 Mpc: 1000 10 % 30 % 50 % 70 % 90 % 100 R [Mpc] 10 under-estimation of energy scale? or iron? or fake? safer (but less ambitious) method? 1 1e+19 1e+20 1e+21 E [ev]
Comparing with sources: [A. Cuoco et al. 07, 08 ] Use the auto-correlation function, w(ϑ) = DD(ϑ) RR(ϑ) 1, where DD: number of pairs in catalogue RR: number of pairs in random sets for most popular sources of UHECRs:
Comparing with sources: [A. Cuoco et al. 07, 08 ] Use the auto-correlation function, w(ϑ) = DD(ϑ) RR(ϑ) 1, for most popular sources of UHECRs: AGN
Comparing with sources: [A. Cuoco et al. 07, 08 ] Use the auto-correlation function, w(ϑ) = DD(ϑ) RR(ϑ) 1, for most popular sources of UHECRs: AGN and GRB [ ]
Auto-correlation function of different sources: [A. Cuoco et al. 07 ]
Auto-correlation function of different sources: [A. Cuoco et al. 07 ]
Auto-correlation function of different sources: [A. Cuoco et al. 07 ]
Auto-correlation function of different sources: [A. Cuoco et al. 07 ] differences on all angular scales reduced statistical error reduced dependence on B: global comparison on all scales only relative deflections enter possible to constrain B
Auto-correlation function of different sources: [A. Cuoco et al. 07 ] differences on all angular scales reduced statistical error reduced dependence on B: global comparison on all scales only relative deflections enter possible to constrain B
Auto-correlation function of different sources: [A. Cuoco et al. 07 ] differences on all angular scales reduced statistical error reduced dependence on B: global comparison on all scales only relative deflections enter possible to constrain B
Auto-correlation function of different sources: [A. Cuoco et al. 07 ] differences on all angular scales reduced statistical error reduced dependence on B: global comparison on all scales only relative deflections enter possible to constrain B
Clustering signal for the PAO Science data [A. Cuoco et al. 08 ]
Clustering signal for the PAO Science data [A. Cuoco et al. 08 ] larger consistency of data with AGN than normal galaxies only consistency check, no independent evidence bad cross-correlation of old data [A. Cuoco et al. 07 ]
Effects of cluster fields [K. Dolag, MK, D. Semikoz 08 ] Sources sit in regions with ρ ρ and B B
Effects of cluster fields [K. Dolag, MK, D. Semikoz 08 ] Sources sit in regions with ρ ρ and B B what are effects of cluster fields?
Anisotropies of a single source at 1000 EeV/Z model z 1000 EeV 360 180 0
Anisotropies of a single source at 100 EeV/Z model z 100 EeV 360 180 0
Anisotropies of a single source at 10 EeV/Z model z 10 EeV 360 180 0
Anisotropies of a single source at 1 EeV/Z model z 1 EeV 360 180 0
Effects of cluster fields: [K. Dolag, MK, D. Semikoz 08 ] anisotropies hide cluster for part of observer 1 2 less 2 more 5 less P(δ) 0.1 0.01 1 10 100 1000 E [EeV]
Effects of cluster fields: [K. Dolag, MK, D. Semikoz 08 ] anisotropies hide cluster for part of observer modulate the energy spectrum 10 1 fit 1/E 2.2 no MF (0,0) (40,-10) (90,45) dn/de 10-1 10-2 10-3 10 19 10 20 E [EeV]
Multi-Messenger Astronomy with Cen A? [] MK, S. Ostapchenko, R. Tomàs 08
Possible source/acceleration scenarios for Cen A: mechanism: shock acceleration vs. acceleration in regular fields location: core, hot spots, along the jet target: gas vs. photons
Possible source/acceleration scenarios for Cen A: mechanism: shock acceleration vs. acceleration in regular fields location: core, hot spots, along the jet target: gas vs. photons
Possible source/acceleration scenarios for Cen A: mechanism: shock acceleration vs. acceleration in regular fields location: core, hot spots, along the jet target: gas vs. photons
Possible source/acceleration scenarios for Cen A: mechanism: shock acceleration vs. acceleration in regular fields location: core, hot spots, along the jet target: gas vs. photons neglect acceleration fix 2 basic scenarios: core and jet fix n γ and n H by observations normalization of UHECRs by PAO AGN hypothesis
Chandra observation of X-ray emission in the jet 1 arcmin
Chandra observation of X-ray emission in the jet divide in subareas separate fit to gas column density X and spectral index α
Chandra observation of X-ray emission in the jet: Results 1 arcmin X = 1.5 10 21 /cm 2 in the jet
Chandra observation of X-ray emission in the jet: Results 1 arcmin X = 1.5 10 21 /cm 2 in the jet with d = 0.4kpc and σ pp = 150mbarn: interaction depth τ pp 0.01
Length scales for acceleration in the jet
Length scales for acceleration in the jet diffusion increases effective size
Length scales for acceleration in the jet diffusion increases effective size for pp no threshold τ = 1 for E = 10 17 ev, optimal for neutrino telescope
Our two base models acceleration close to the core acceleration in accretion shock/regular fields pγ interactions τ γγ 1, synchrotron losses for e ± acceleration in jet shock acceleration pp interactions τ γγ 1, synchrotron losses for e ±
Results for acceleration in jet: broken power-law
Results for acceleration in jet: broken power-law
Results for acceleration in jet: broken power-law source with τ 1 visible in TeV range τ pp τ γγ
Results for acceleration in jet: broken power-law α = 2.7 required for diffuse CR flux in dip model disfavoured as spectrum of single source Cen A diffuse spectrum = superposition of single sources with dn/de max distribution HE γ observations constrain UHECR models
Results for acceleration in jet: α = 2
Results for acceleration in jet: α = 1.2
Results for acceleration close to the core: broken power-law
Results for acceleration close to the core: broken power-law source with τ pγ 1 (weakly) visible in TeV range UHE photons are reshuffled
Results for acceleration close to the core: broken power-law
Results for acceleration close to the core: α = 2
Results for acceleration close to the core: α = 1.2
Summary Cen A fixed n γ and n H by observations normalization of UHECRs by PAO AGN hypothesis
Summary Cen A fixed n γ and n H by observations normalization of UHECRs by PAO AGN hypothesis HE neutrino astronomy: exploiting directional signal (=muons) requires northern experiment event number most sensitive on steepness of CR spectrum: 10 4 few events per year
Summary Cen A fixed n γ and n H by observations normalization of UHECRs by PAO AGN hypothesis HE neutrino astronomy: exploiting directional signal (=muons) requires northern experiment event number most sensitive on steepness of CR spectrum: 10 4 few events per year if typical steady source, first detection of diffuse flux [Koers, Tinyakov 08 ]
Summary Cen A fixed n γ and n H by observations normalization of UHECRs by PAO AGN hypothesis HE neutrino astronomy: exploiting directional signal (=muons) requires northern experiment event number most sensitive on steepness of CR spectrum: 10 4 few events per year if typical steady source, first detection of diffuse flux HE gamma astronomy: all cases promising apart from α 1 [Koers, Tinyakov 08 ]
Summary Cen A fixed n γ and n H by observations normalization of UHECRs by PAO AGN hypothesis HE neutrino astronomy: exploiting directional signal (=muons) requires northern experiment event number most sensitive on steepness of CR spectrum: 10 4 few events per year if typical steady source, first detection of diffuse flux HE gamma astronomy: all cases promising apart from α 1 general: TeV photon sources may be also good neutrino sources [Koers, Tinyakov 08 ]
Summary Cen A fixed n γ and n H by observations normalization of UHECRs by PAO AGN hypothesis HE neutrino astronomy: exploiting directional signal (=muons) requires northern experiment event number most sensitive on steepness of CR spectrum: 10 4 few events per year if typical steady source, first detection of diffuse flux HE gamma astronomy: all cases promising apart from α 1 general: TeV photon sources may be also good neutrino sources pp may be more important than pγ in jet [Koers, Tinyakov 08 ]
General summary tension between horizon and fraction of correlated PAO events
General summary tension between horizon and fraction of correlated PAO events tension between chemical composition and correlation data from PAO
General summary tension between horizon and fraction of correlated PAO events tension between chemical composition and correlation data from PAO nuclei with admixture of protons?
General summary tension between horizon and fraction of correlated PAO events tension between chemical composition and correlation data from PAO nuclei with admixture of protons? auto-correlation more robust method than cross-correlation
General summary tension between horizon and fraction of correlated PAO events tension between chemical composition and correlation data from PAO nuclei with admixture of protons? auto-correlation more robust method than cross-correlation lensing in cluster and Galactic fields important
General summary tension between horizon and fraction of correlated PAO events tension between chemical composition and correlation data from PAO nuclei with admixture of protons? auto-correlation more robust method than cross-correlation lensing in cluster and Galactic fields important connection to TeV γ-rays, acceleration