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Add information about computation of mean PSF to Fermi/LAT User Manual
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doc/source/users/user_manual/irf_lat.rst
| @@ -61,3 +61,68 @@ The parameters :math:`n_\mathrm{c}`, :math:`n_\mathrm{t}`, :math:`s_\mathrm{c}`, | @@ -61,3 +61,68 @@ The parameters :math:`n_\mathrm{c}`, :math:`n_\mathrm{t}`, :math:`s_\mathrm{c}`, | ||
| 61 | :math:`\gamma_\mathrm{t}` depend on energy :math:`E` and off-axis angle | 61 | :math:`\gamma_\mathrm{t}` depend on energy :math:`E` and off-axis angle |
| 62 | :math:`\theta`. | 62 | :math:`\theta`. |
| 63 | Energy dispersion is so far not implemented. | 63 | Energy dispersion is so far not implemented. |
| 64 | + | ||
| 65 | + | ||
| 66 | +Event types | ||
| 67 | +~~~~~~~~~~~ | ||
| 68 | + | ||
| 69 | +The LAT events are partitioned into exclusive event types that for Pass 6 and | ||
| 70 | +Pass 7 data correspond to pair conversions located in either the front or the | ||
| 71 | +back section of the tracker. For Pass 8 the event partitioning has been | ||
| 72 | +generalised to other event types. For each event type, a specific response | ||
| 73 | +function exists that will be designated in the following with the superscript | ||
| 74 | +:math:`\alpha`. | ||
| 75 | + | ||
| 76 | + | ||
| 77 | +Livetime cube | ||
| 78 | +~~~~~~~~~~~~~ | ||
| 79 | + | ||
| 80 | +The livetime cube is a means to speed up the exposure calculations in a | ||
| 81 | +Fermi/LAT analysis and contains the integrated livetime as a function of sky | ||
| 82 | +position and inclination angle with respect to the LAT z-axis. | ||
| 83 | +This livetime, denoted by :math:`\tau(p,\theta)`, is the time that the LAT | ||
| 84 | +observed a given position on the sky at a given inclination angle, and includes | ||
| 85 | +the history of the LAT's orientation during the entire observation period. | ||
| 86 | +A Fermi/LAT livetime cube includes also a version of the livetime information | ||
| 87 | +that is weighted by the livetime fraction (i.e. the ratio between livetime and | ||
| 88 | +ontime) and that allows correction of inefficiencies introduced by so-called | ||
| 89 | +ghost events, and that we denote here by :math:`\tau_\mathrm{wgt}(p,\theta)`. | ||
| 90 | + | ||
| 91 | + | ||
| 92 | +Mean point-source PSF | ||
| 93 | +~~~~~~~~~~~~~~~~~~~~~ | ||
| 94 | + | ||
| 95 | +GammaLib, the library that is underlying ctools, natively implements the | ||
| 96 | +computation of the mean PSF for point sources. | ||
| 97 | +The exposure for a given sky direction :math:`p`, photon energy :math:`E` and | ||
| 98 | +event type :math:`\alpha` is computed using | ||
| 99 | + | ||
| 100 | +.. math:: | ||
| 101 | + X^\alpha(p, E) = f_1^\alpha(E) \int_{\theta} \tau(p,\theta) \, | ||
| 102 | + A_\mathrm{eff}^\alpha(E,\theta) \, d\theta | ||
| 103 | + + f_2^\alpha(E) \int_{\theta} \tau_\mathrm{wgt}(p,\theta) | ||
| 104 | + \, A_\mathrm{eff}^\alpha(E,\theta) \, d\theta | ||
| 105 | + | ||
| 106 | +The exposure weighted point spread function is computed using | ||
| 107 | + | ||
| 108 | +.. math:: | ||
| 109 | + \mathrm{\it PSF}^\alpha(\delta|p,E) = | ||
| 110 | + f_1^\alpha(E) \int_{\theta} \tau(p,\theta) \, | ||
| 111 | + A_\mathrm{eff}^\alpha(E, \theta) \, | ||
| 112 | + \mathrm{\it PSF}^\alpha(\delta|E,\theta) \, d\theta | ||
| 113 | + + f_2^\alpha(E) \int_{\theta} \tau_\mathrm{wgt}(p,\theta) \, | ||
| 114 | + A_\mathrm{eff}^\alpha(E,\theta) \, \mathrm{\it PSF}^\alpha(\delta|E,\theta) \, | ||
| 115 | + d\theta, | ||
| 116 | + | ||
| 117 | +where :math:`f_1^\alpha(E)` and :math:`f_2^\alpha(E)` are energy and event | ||
| 118 | +type dependent efficiency factors. | ||
| 119 | + | ||
| 120 | +The mean point spread function for a point source is computed using | ||
| 121 | + | ||
| 122 | +.. math:: | ||
| 123 | + \overline{\mathrm{\it PSF}}(\delta|p,E) = | ||
| 124 | + \frac{\sum_\alpha \mathrm{\it PSF}^\alpha(\delta|p,E)} | ||
| 125 | + {\sum_\alpha X^\alpha(p,E)} | ||
| 126 | + | ||
| 127 | +where the sum is taken over all event types :math:`\alpha`. | ||
| 128 | + |