- By
**rhea** - Follow User

- 67 Views
- Uploaded on

Download Presentation
## PowerPoint Slideshow about ' GAMMA Experiment' - rhea

**An Image/Link below is provided (as is) to download presentation**

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript

GAMMA Experiment

Mutually compensative pseudo solutions

of the primary energy spectra in the knee region

Samvel Ter-Antonyan

Yerevan Physics Institute

Astroparticle Physics 28, 3 (2007) 321

EAS Inverse Problem

Detected EAS size spectra

X=d2F/dNedNm

Unknown primary energy spectra; A H, He,…,Fe

Kernel function

{A,E} X

The problem of uniqueness

Let NA=1 andf(E)is a solution. Then f(E)+g(E) is also a solution

if onlyW(E,X) g(E) dE << F(X)

g(E) - oscillating functions

Problem of uniqueness for NA>1 and

Mutually compensative pseudo solutions

forNA > 1 the pseudo solutions fA(E)+gA(E) exist if only

WA(E,X) gA(E) dE =0(F)

A

- WA(E,X) gA(E) dE = WA(E,X) gA(E) dE + 0(F)

k

mk

NA

nc=C

NA

number of possible combinations of pseudo functions:

j

j=2

at NA=5, nc=26

How can we find the domains of pseudo solutions ?

WA(E,X) gA(E) dE =0(F)

A

1.In general, it is an open question for mathematicians.

2.Our approach:

a) Computationof WA(E,X)

b) for given fA(E)

F(X)

c) Quest for | gA(,, | E) | 0from

Using 2-minimization

Simulation of KASCADE EAS spectra

Reconstructed EAS size spectra

EAS spectra atobservation level

2D Log-normal probability density funct.

CORSIKA, NKG, SIBYLL2.1

e(A,E)=<Ln(Ne)>

(A,E)=<Ln(N)>

e(A,E), (A,E) (Ne,N|A,E)

E 1, 3.16, 10, 31.6, 100 PeV; A p,He,O,Fe

n 5000, 3000, 2000, 1500, 1000

2/n.d.f. 0.4-1.4;2/n.d.f. <1.2

(E|LnNe,LnN)=0.97; (LnA|LnNe,LnN)=0.71

Quest for pseudo solutions

Monte-Carlo method

Abundance of nuclei: 0.35; 0.4; 0.15; 0.1

WA(E,X) gA(E) dE = 0(F)

A

i=1,…60; j=1,…45

Ne,min=4103, N,min =6.4 104

Examples of pseudo solutions, 3

WA(E,X) gA(E) dE = 0(F)

P=3 PeV

=1 at E < A

=5 at E > A

N=7106 ; 2=2.01

N=7105 ;2=0.25

Examples of pseudo solutions, 4:

Light and Heavy components

WLight(E,X) gLight(E) dE = WHeavy(E,X) gHeavy(E) dE 0(F)

A p, He ( Light )

A O, Fe ( Heavy )

N=7105, Em=1 PeV, 2=1.0

CONCLUSION

GAMMA Experiment

- The results show that the pseudo solutions with mutually
compensative effects exist and belong to all families – linear,

non-linear and even singular in logarithmic scale.

- The mutually compensative pseudo solutions is practically
impossible to avoid at NA>1. The significance of the pseudo

solutions in mostcases exceeds the significance of the

evaluatedprimary energyspectra.

- All-particle energy spectrum are indifferent toward the
pseudo solutions of elemental spectra.

To decrease the contributions of the mutually compensative pseudo solutions

one may apply a parameterization of EAS inverse problem using a priori

(expected from theories)known primary energy spectra with a set of free

spectralparameters.

Just this approach was used in the GAMMA experiment.

Download Presentation

Connecting to Server..