Multichannel particle decay survival probability

The PDG article on Monte Carlo Generators (PDG 54, 10.5) has some information, but it is not very detailed. Some books about Monte Carlo generators are listed there.
  • #1
pomaranca
16
0
Particle can decay through many channels with probabilities [itex]p_i[/itex], where in each channel its decay time is different [itex]\tau_i[/itex]. It always decays through one of the channels.

Particle decays according to exponential law where probability to decay in time [itex]t[/itex] is
[tex]
P^{(i)}_d(t)={1\over\gamma\tau_i}\exp\left({-{t\over\gamma\tau_i}}\right)\;.
[/tex]
What is the total probability for a particle to survive a given time [itex]t[/itex] (so it does not decay in any channel)?
 
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  • #2
Why not integrate all the decay probabilities from 0 to t, add them up and then subtract the resulting probability from 1 to find the probability of the particle surviving?
 
  • #3
Please suggest me a good book of nuclear and particle physics. My syllabus is nuclear reaction, nuclear fission and fusion, elementary particles, particle accelerator and detector, nuclear astrophysics.
 
  • #4
pomaranca said:
where in each channel its decay time is different [itex]\tau_i[/itex]. It always decays through one of the channels.
Do you mean lifetime here? Decay time is usually the time of a specific particle decay in an event.
How can you have different lifetimes? Mixing of neutral mesons can give this on the level of ~1% in an effective description, but you have to consider both states there.
 
  • #5
@MarekS
[tex]
P_s(t)=1-\sum_i p_i \int\limits_0^t{1\over\gamma\tau_i}\exp\left(-{t'\over\gamma\tau_i}dt'\right)
[/tex]
Is this what you meant?

@Myphyclassnot: for nuclear and particle physics see e.g. Griffiths, Povh, Perkins, Halzen & Martin, Peskin & Schroeder, Bjorken & Drell ...

@mfb: yes, i meant proper lifetime, e.g. [itex]K^+[/itex] can decay via multiple decay channels, see this for listing of all decay modes.
 
  • #6
pomaranca said:
@mfb: yes, i meant proper lifetime, e.g. [itex]K^+[/itex] can decay via multiple decay channels, see this for listing of all decay modes.
A particle has a single lifetime. PDG gives decay rates (as inverse lifetimes) for individual decays, you can simply add all of them to get the total inverse lifetime. The probability that a particle lives after time t is always an exponential function, unless you have mixing.
 
  • #7
pomaranca said:
@MarekS
[tex]
P_s(t)=1-\sum_i p_i \int\limits_0^t{1\over\gamma\tau_i}\exp\left(-{t'\over\gamma\tau_i}dt'\right)
[/tex]
Is this what you meant?

Jep, that's what I meant.
 
  • #8
mfb said:
A particle has a single lifetime. PDG gives decay rates (as inverse lifetimes) for individual decays, you can simply add all of them to get the total inverse lifetime. The probability that a particle lives after time t is always an exponential function, unless you have mixing.

So the total lifetime of a particle with miltiple decay channels is
[tex]
{1\over\tau_{\rm tot}}=\sum\limits_i{1\over\tau_i}\;.
[/tex]
And the probability for such a particle to live for a time [itex]t[/itex] is
[tex]
P_s(t)=\exp\left(-{t\over\gamma\tau_{\rm tot}}\right)=
\prod_i \exp\left(-{t\over\gamma\tau_i}\right)\;.
[/tex]
This is the probability for a particle to survive all channels at once: the first AND the second AND the third etc. And the probabilities for particular channels are not taken into account.
Is this really the case? The resulting probability is also very low.

MarekS said:
Jep, that's what I meant.
This was also my first guess. And the result fits perfectly to my simulation results, but this simulation could be flawed.

This is the way I simulate the process:
  1. Generate a random number [itex]\xi\in[0,1)[/itex] with uniform probability and according to its value choose on of the possible decay channels.
  2. For a chosen channel randomly generate particle's lifetime [itex]t[/itex] from exponential distribution with mean value [itex]\gamma\tau_i[/itex].
  3. Apply kinematics of a decay in a chosen channel.
To achieve an exponential distribution with [itex]\tau_{\rm tot}[/itex] I suppose I should send a particle to decay in the first channel and then if it survives to the second and so on through each channel.
 
  • #9
I do not think ##\tau_i## is used somewhere, as it is misleading - this time has no physical meaning. ##\Gamma_i## is the common way to give decay rates for individual channels, if that is done at all (lifetime of the particle and branching fraction is more common).

pomaranca said:
This is the way I simulate the process:
  1. Generate a random number [itex]\xi\in[0,1)[/itex] with uniform probability and according to its value choose on of the possible decay channels.
  2. For a chosen channel randomly generate particle's lifetime [itex]t[/itex] from exponential distribution with mean value [itex]\gamma\tau_i[/itex].
  3. Apply kinematics of a decay in a chosen channel.
Just use the lifetime of the particle (and not some decay-channel related value) in step 2.
 
  • #10
@mfb: Thank you for your answer, this really seems to be the case. Could you suggest some literature, a standard book or an article on this issue. I just can't seem to find this anywhere. Thanks again!
 
  • #11
I think there should be lecture notes and books for particle physics and monte carlo generators, but I don't know any specific one.
 

1. What is multichannel particle decay survival probability?

Multichannel particle decay survival probability is a measure of the likelihood that a particle undergoing decay will survive in a particular channel or state. It takes into account all possible decay pathways and calculates the probability that the particle will remain in a specific state or channel after a certain amount of time.

2. How is multichannel particle decay survival probability calculated?

The calculation of multichannel particle decay survival probability involves using mathematical equations and models to consider all possible decay pathways and their associated branching ratios. These calculations can be complex and require advanced knowledge of particle physics and quantum mechanics.

3. What factors influence multichannel particle decay survival probability?

There are several factors that can influence multichannel particle decay survival probability, including the mass and energy of the decaying particle, the strength of the decay interactions, and the existence of other particles that can interact with the decay process.

4. Why is multichannel particle decay survival probability important?

Multichannel particle decay survival probability is important because it allows scientists to predict and understand the behavior of particles in certain decay processes. This information can be used to make more accurate predictions and interpretations in particle physics experiments, and can also provide insights into the fundamental laws of nature.

5. How is multichannel particle decay survival probability used in research?

Multichannel particle decay survival probability is used in various research studies, particularly in the field of particle physics. It can be used to analyze and interpret data from experiments, as well as to make predictions about the behavior of particles in different decay scenarios. It is also used in theoretical studies to develop and test new models and theories about particle interactions and the fundamental laws of nature.

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