Muons in air showers Muons on the surface

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Muons in air showers Muons on the surface Muon bundles deep underground March 10,

Muons in air showers Muons on the surface Muon bundles deep underground March 10, 2009 Tom Gaisser 1

Cosmic-ray cascades Extensive Air Shower (EAS) – refers to a cascade with sufficient energy

Cosmic-ray cascades Extensive Air Shower (EAS) – refers to a cascade with sufficient energy ( > 100 Te. V) to reach the ground March 10, 2009 Tom Gaisser 2

Hadronic core of cascade March 10, 2009 Tom Gaisser 3

Hadronic core of cascade March 10, 2009 Tom Gaisser 3

Hadronic core (p. 2) March 10, 2009 Tom Gaisser 4

Hadronic core (p. 2) March 10, 2009 Tom Gaisser 4

Hadronic core (p. 3) March 10, 2009 Tom Gaisser 5

Hadronic core (p. 3) March 10, 2009 Tom Gaisser 5

Hadronic core (p. 4) March 10, 2009 Tom Gaisser 6

Hadronic core (p. 4) March 10, 2009 Tom Gaisser 6

Hadronic core (p. 5) March 10, 2009 Tom Gaisser 7

Hadronic core (p. 5) March 10, 2009 Tom Gaisser 7

Muons in EAS (low energy) March 10, 2009 Tom Gaisser 8

Muons in EAS (low energy) March 10, 2009 Tom Gaisser 8

High-energy muons in EAS March 10, 2009 Tom Gaisser 9

High-energy muons in EAS March 10, 2009 Tom Gaisser 9

Elbert* approximation for Nm(>Em) *Phys. Rev. D 27 (1983) 1448 March 10, 2009 Tom

Elbert* approximation for Nm(>Em) *Phys. Rev. D 27 (1983) 1448 March 10, 2009 Tom Gaisser 10

Muons in the deep ice p 1 Nm(>Em, E 0) = A 0. 0145

Muons in the deep ice p 1 Nm(>Em, E 0) = A 0. 0145 Te. V Em cos q E 0 A Em x p 2 A Em E 0 1 - P 1 = 0. 76 p 2 = 5. 3 Elbert (1978), Elbert, Gaisser, Stanev (1983) --parameterization fits Monte Carlo sims for average Nm a = 2 Me. V / g/cm 2, x = 2. 5 km. w. e. Energy loss: d. Em / d. X = - a – E / x Em* = exp [ X / x ] ( Em + e ) – e , energy of muon at surface d. Nm ( X, E 0 ) d. Em March 10, 2009 = e ~ 0. 5 Te. V energy of muon at slant depth X = d / cos q d. Nm( X = 0 ) d. Em* exp [ X / x ] Tom Gaisser 11

Check for consistency Inclusive integral muon spectra (integrated over primary spectrum): Compare: 0. 186

Check for consistency Inclusive integral muon spectra (integrated over primary spectrum): Compare: 0. 186 x 25 ~ 5 840 x 66 / 104 ~ 6 March 10, 2009 Tom Gaisser 12

Visible energy in I 3 Energy in muon bundle ∫ Em d. Nm( X,

Visible energy in I 3 Energy in muon bundle ∫ Em d. Nm( X, E 0 ) d. Em EB(X) d. Em Energy deposited inside I 3 d. Em(X) = EB(X – 0. 5 km. w. e. ) - EB(X + 0. 5 km. w. e. ) q 0 30 o 41 o 60 o 76 o 81 o cos q 1. 0 0. 87 0. 75 0. 25 0. 15 Em* (Te. V) 0. 56 0. 69 0. 86 1. 71 8. 9 60 E 0(1 m, Te. V) 80 80 540 13800 E 0 (>2 m) / E 0(>1 m) = (2)1/p ~ 2. 5 March 10, 2009 (2. 5) -1. 7 ~ 0. 2 = fraction of ≥ 2 m at a plane Tom Gaisser 13

Muon multiplicity at depth protons Iron Total energy per nucleus March 10, 2009 Tom

Muon multiplicity at depth protons Iron Total energy per nucleus March 10, 2009 Tom Gaisser 14

Muon energy spectrum at depth Nm= 7 5. 5 4. 4 2. 0 0.

Muon energy spectrum at depth Nm= 7 5. 5 4. 4 2. 0 0. 2 0. 1 March 10, 2009 Nm=40 32 25 11 1. 2 0. 7 Tom Gaisser 15

Muon energy spectrum at depth Nm=230 180 145 64 7. 1 0. 4 March

Muon energy spectrum at depth Nm=230 180 145 64 7. 1 0. 4 March 10, 2009 Nm=1300 1000 830 370 41 2 Tom Gaisser 16

vertical cosq=0. 5 cosq=0. 25 March 10, 2009 Tom Gaisser 17

vertical cosq=0. 5 cosq=0. 25 March 10, 2009 Tom Gaisser 17

Note angular dependence on composition vertical cosq = 0. 5 cosq = 0. 25

Note angular dependence on composition vertical cosq = 0. 5 cosq = 0. 25 March 10, 2009 Tom Gaisser 18

Concept • Measure spectrum of Evisible in I 3 muon bundles • Normalize near

Concept • Measure spectrum of Evisible in I 3 muon bundles • Normalize near vertical with coincident events where primary energy can be determined by Ice. Top • Use full angular dependence – To check composition – To increase acceptance from 0. 3 to > 3 km 2 sr – To calculate background for UHE, EHE n events • Sensitivity and feasibility needs investigation and reality check with Monte Carlo March 10, 2009 Tom Gaisser 19

Energy deposit per 17 m Todor’s plot: --a single event A B March 10,

Energy deposit per 17 m Todor’s plot: --a single event A B March 10, 2009 Tom Gaisser 20

Radiative losses by high energy m March 10, 2009 Tom Gaisser 21

Radiative losses by high energy m March 10, 2009 Tom Gaisser 21

Cascades produced along m tracks Use s ( > Em/100 ) and calculate by

Cascades produced along m tracks Use s ( > Em/100 ) and calculate by Monte Carlo for d. Em > Em/100; Track average energy loss during propagation including low E radiative. --Lipari & Stanev, Phys. Rev. D 44 (1001) 3543 March 10, 2009 Tom Gaisser 22

Analysis procedure • Concept: like FD reconstruction in Auger – Determine trajectory with appropriate

Analysis procedure • Concept: like FD reconstruction in Auger – Determine trajectory with appropriate method • E. g. use core location of surface for coincident evnts • Use best LLH for in-ice – Reconstruct number of Cherenkov photons per meter along trajectory • Account for local ice properties • First pass fit gives curve A – Used curve A for estimate of energy deposit – Integral of d. E/d. X = -a –b. E gives Nm x DE • Second pass fit to estimate Nm : – Remove all DOMs (or groups) with DE > line A – Second pass gives line B • Use d. E/d. X = -a to get Nm • Need to reinterpret parameter “a” to include the “small” part of “b” –as in removal in IR divergence in bremsstrahlung • Lipari-Stanev paper shows how to do this March 10, 2009 Tom Gaisser 23