Classical sum rules and spin correlations in photoabsorption and photoproduction processes

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

9 pages, 2 figures

Scientific paper

10.1103/PhysRevD.66.037901

In this paper we study the possibility of generalizing the classical photoabsorption ($\gamma a \to b c$) sum rules, to processes $b c \to \gamma a$ and crossed helicity amplitudes. In the first case, using detailed balance, the sum rule is written as $\int_{\nu_{th}}^\infty {\frac{{d\nu}}{\nu}} K\Delta \sigma_{Born} (\nu)=0$ where $K$ is a kinematical constant which depends only on the mass of the particles and the center of mass energy. For other crossed helicity amplitudes, we show that there is a range of values of $s$ and $t$ for which the differential cross section for the process $\gamma b \to a c$ or $a c \to \gamma b$ in which the helicities of the photon and particle $a$ have specific values, is equal to the differential cross section for the process in which one of these two helicities is reversed (parallel-antiparallel spin correlation).

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Classical sum rules and spin correlations in photoabsorption and photoproduction processes does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Classical sum rules and spin correlations in photoabsorption and photoproduction processes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Classical sum rules and spin correlations in photoabsorption and photoproduction processes will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-40237

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.