Measuring Photon Polarization by Pair Production

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Measuring Photon Polarization by Pair Production MEASURING PHOTON POLARIZATION BY PAIR PRODUCTION Gerardo O. Depaola* and Carlos N. Kozameh* * Facultad de Matemática Astronomía y Física - Univ. Nac. de Córdoba Ciudad Universitaria 5000 Córdoba, Argentina ABSTRACT Recently, a GEANT Monte Carlo code was used to design an outline of the geometry and to simulate the performance of a high energy (10 MeV - 10 GeV) gamma - ray detector (1). It was shown that the incident direction and energy of the incoming photons can be determined from the tracks of the produced electrons - positrons pairs. A natural follow up problem is to study whether this system can be used to detect linearly polarized gamma rays. In principle, this can be done by measuring the azimuthal distribution of the produced pairs since the cross section has a dependence with the vector polarization direction. In this work we first determine the azimuthal angular distribution from the differential cross section for pair production. We then show that the azimuthal distribution of the produced pairs has a very simple angular dependence and can be approximated very accurately by cross section for coplanar events. Finally, we use the simplified cross section to simulate the performance of the detector. I. INTRODUCTION It is worth mentioning that none of these authors computed the azimuthal probability distribution which is The detection of polarized gamma rays is very necessary to perform Monte Carlo simulations. important in astrophysics since it yields a method to In this work we calculate this spatial azimuthal observe accreting matter near a black hole or neutron star. distribution for high energy gamma - rays (10 MeV - 10 Thus, it is worth asking whether the present detectors that GeV) directly from the differential cross section as in have been designed to measure unpolarized gamma rays Bethe - Heitler (7,8) by integrating over the polar angles (1,2,3) could also be used to detect polarized photons. and the positron (electron) energy. The idea to detect polarization of a gamma - ray The integration is made using a Monte Carlo was brought up in the 50’s, by measuring the ratio of the method and the VEGAS routine of Numerical Recipes (9). number of pairs produced in a plane parallel to To check the method, we calculate the total cross section polarization vector, to the number perpendicular to that and show that it yields the tabulated values. direction. The spatial azimuthal distribution so obtained However, since the differential cross section for this shows that the produced pair tends to be coplanar with the process is a very complicated function of the relevant photon incident momentum k. It thus can be replaced by a angles, several authors used approximations with different, simple function that only depends on the angle between the and sometimes opposite, results. As and example, Berlin produced pair and the polarization vector. et. all (4) calculated a higher probability of pair production We then use this anisotropic azimuthal distribution perpendicular to the polarization vector, whereas Wick (5) on the GEANT Monte Carlo code to simulate the obtained the opposite result. Maximon and Olsen (6), performance of a high energy gamma ray detector (1) using quantum mechanic calculations, found that the previously design for unpolarized rays. It should be azimuthal relation asymmetry depended on the angular remarked that we modified the GEANT Monte Carlo code resolution which one measures these probabilities. Thus, for this purpose since the original code only contained depending on this resolution one might have a higher isotropic azimuthal distribution for pair production. probability of pair production in either direction. A major problem in this determination is multiple scatterings which modify the tracks of the particles and a function of the angles Y and f, where Y is the azimuthal tend to nullify azimuthal information. To minimize these angle measured in a plane orthogonal to k between the effects we test different geometry configurations. polarization vector and the projection of the momentum In section II we describe the Monte Carlo parameter p+ on that plane, and f is the difference between the and geometry setup, whereas in section III we discuss the azimuthal angles of the pair (see fig. 1.). spatial azimuthal distribution. Results of simulation are shown in section IV. z II. MONTE CARLO k p+ The simulation is done with GEANT (10) Monte q+ q- p- Carlo code since it offers great geometric programation versatility of experimental equipment. x With this code, the geometric design is Y constructed as follows: we first define a mother volume (called BIGM) who plays the role of the outer space. Inside this volume we define our detection system (called CALO) f who is divided in N identical sub-volumes. Each sub- volume (called SUBC), is itself composed by many layers of material. y All of this volumes have a box form and the coordinate system has its axis Z-axis perpendicular to the material layers and the X - Y axis are parallel to the other sides of the box. The incoming directions q and f are Figure 1. Angles Occurring in the Pair Production. measured with respect to the Z and X axis respectively. The basic geometry of the detector system consists of N=15 SUBC’s and the components of each layer are The calculated spatial azimuthal distribution is showed in table 1. practically zero in all ranges of Y and f except for f = p We do simulations varying the number of layers ( see Fig. 2). This indicates that for high energies the and material thickness for many Gamma - ray energy. particles tend to be coplanar with k. From this figure one can also see that at the maximum probability, i. e. for f = p, the pair has a greater TABLE 1. Thickness and Composition of Each Layer probability to be in a plane perpendicular to the Plane. polarization vector. The ratio of the number of pair produced in the 50 mm Lead plane of polarization vector to the number produced 50 mm Silicon perpendicular to this plane ( the asymmetric ratio) is for 30 mm Copper this figure equal to 0.8 which is in coincidence with 50 mm Carbon Maximon and Olsen (6). 30 mm x 2 Copper Repeating this calculation for different values of 50 mm Carbon energies of the incoming ray yields similar results. 30 mm Copper A fit of this Y distribution at f = p shows that we 50 mm Silicon can approximate the azimuthal distribution by the 3 cm Vacuum following formula : III. SPATIAL AZIMUTHAL DISTRIBUTION ds = A (1 - l cos2 y ) This differential cross section depends on the dy positron energy and the solid angle in the direction of (1) momenta relative to the photon direction k. Thus, to obtain the spatial azimuthal distribution it is necessary to The l parameter represents the degree of integrate in energy and polars angles q+, q- (Fig. 1). asymmetry of the distribution and tends to be constant at In this way we obtain a differential cross section as high energies (Fig. 3) reaching an asymptotic value of 0.2. 16 14 12 10 1 ds 8 2 a(Zr0) dfdy 6 4 3.14 2 2.62 2.09 3.14 2.62 1.57 2.09 y 1.05 1.57 1.05 0.52 f 0.52 0.00 Figure 2. Spatial Azimuthal Distribution of a Pair Created by 100 MeV Photon plus sign) obtained this formula without providing a hint of how the formula was obtained or why the sign in front 0.22 of the parameter was changed. Their value of l obtained for high energies was 0.3 instead of our calculated parameter. 0.20 It is also worth mentioning that formula 1 is only correct for coplanar events, as one can see from figure 2. To do the Monte Carlo simulation one needs the 0.18 spatial azimuthal distribution. However, it follows from Figure 2 that the cross section is significantly different 0.16 from zero for angles corresponding to coplanar events. l Thus, one can reduce the simulation to only coplanar pairs and use formula 1 to sample the angle Y. 0.14 0.12 IV. SIMULATION RESULTS 0.10 101 102 103 Inserting formula (1) into GEANT Monte Carlo code to replace the isotropic distribution usually used in Energy [MeV] this code yields the simulated performance of the detector. The simulated geometry consists on N detection’s planes explained in section II. Each plane is composed Figure 3. The l Parameter in Function of g - Ray principally by a Pb layer (used to produce the pair Energy electron-positron), and two layers of strip Silicon detector of 100 mm wide (one layer is for the X coordinate and the other for Y coordinate) and 50 mm of thickness used to Using phenomenological considerations Kel’ner detect where the particle crosses the plane. Other (11) (with the correct sign ) and Kel’ner et all (12) (with a materials are used as electrical contacts and to give rigidity to the structure. Note that the parameters used in This effect tends to nullify the original angular this simulation are different from the ones used in direction of the pair. reference (1) since the former simulation parameters are To analyze this problem we do simulation with a not sensible enough to measure photon polarization. fictitious azimuthal distribution. We force the pair to be With the X and Y coordinates of each plane we created in coplanar form and only in one plane ( we used construct the track of the pair. It is worth remarking that: Y = 0 ). 1) Gamma - ray incoming direction is determined by In figure 4 we show the angular distribution, in geometrical means through the bisector method as in other level surface, obtained for 100 MeV gamma - ray with detectors (1).
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