Simula'on of e-astrogam
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1 Simula'on of e-astrogam V. Fiore8 (INAF/IASF Bo) A. Bulgarelli (INAF/IASF Bo), A. Aboudan (CISAS), M. Tavani (INAF/ IAPS), I. Donnarumma (INAF/IAPS), R. Campana (INAF/IASF Bo), F. Longo (INFN), V. Ta'scheff (CSNSM), D. Bernard (LLR/IN2P3) eastrogam Workshop: the extreme Universe 28/02 02/03/2017 Padova
2 from MC simula'ons to eastrogam sensi'vity Evalua'ng the e-astrogam scien'fic performance Geant4 simula'on trigger list Event reconstruc'on cleaned trigger list e-astrogam scien'fic pipeline Kalman filtering photon list PSF, energy resolu'on, effec've area, background Sensi'vity V. Fiore8 (INAF/IASF Bologna) eastrogam workshop 01/03/2017 2
3 from MC simula'ons to eastrogam sensi'vity: our ac'vity for M5 Development of the e-astrogam simula'on, reconstruc'on, and analysis pipeline in the pair produc'on regime, with focus on the tracker design and op'miza'on Sensi'vity evalua'on in the 10 MeV 3 GeV energy range from the ESA/M5 proposal V. Fiore8 (INAF/IASF Bologna) eastrogam workshop 01/03/2017 3
4 e-astrogam simula'on with BoGEMMS Evalua'ng the e-astrogam scien'fic performance Geant4 simula'on trigger list Event reconstruc'on cleaned trigger list e-astrogam scien'fic pipeline Kalman filtering photon list PSF, energy resolu'on, effec've area, background Sensi'vity V. Fiore8 (INAF/IASF Bologna) eastrogam workshop 01/03/2017 4
5 The BoGEMMS simula'on framework in the Gamma-ray domain BoGEMMS (Bologna Geant4 Mul'-Mission Simulator) is a Geant4 based customizable simula'on framework for the design and op'miza'on of high energy instruments. Used for the scien'fic performance evalua'on of X-ray (Simbol-X, NHXM, XMM-Newton, ATHENA) and Gamma-ray (AGILE, GAMMA-400, GAMMALight, ASTROGAM, e-astrogam) space missions, it provides a fully validated Gamma-ray simula3on branch for AGILE-like electron tracking telescopes (Fiore&+2014). Some examples Mass model: - tracker - calorimeter - AC - electronics Detec'on efficiency for different trigger logics Proton rate on tracker for different AC triggering pacerns V. Fiore8 (INAF/IASF Bologna) eastrogam workshop 01/03/2017 5
6 The BoGEMMS simula'on framework verifica'on and valida'on with AGILESim Verifica'on AGILESim BoGEMMS simula'on of the AGILE/GRID instrument. Laboratory measurements and in-flight data consistent with simula3on (FioreK+ in prep.) Valida'on Pair conversion efficiency: BoGEMMS vs NIST PSF: BoGEMMS vs in-flight data theta = 30 Real BoGEMMS theta = 0 BoGEMMS Real Pull distribu'on: BoGEMMS vs real data Laboratory measurements from Bulgarelli+2010 AGILE in-flight data from SabaSni+2015 V. Fiore8 (INAF/IASF Bologna) eastrogam workshop 01/03/2017 6
7 e-astrogam BoGEMMS simula'on MEGAlib (Zoglauer+2006, Compton simula'ons) vs BoGEMMS: - same Geant4 physics list and cuts - simula'on tests give consistent results e-astrogam mass model for M5: e-astrogam simula'on analysis: - Tracker DSSD energy threshold = 15 kev - Calorimeter energy threshold = 30 kev - Analogic readout applied - Cluster reconstruc'on and baricentered posi'on applied V. Fiore8 (INAF/IASF Bologna) eastrogam workshop 01/03/2017 7
8 e-astrogam BoGEMMS simula'on pair produc'on analysis 10 MeV 100 MeV 1 GeV V. Fiore8 (INAF/IASF Bologna) eastrogam workshop 01/03/2017 8
9 e-astrogam event reconstruc'on Evalua'ng the e-astrogam scien'fic performance Geant4 simula'on trigger list Event reconstruc'on cleaned trigger list e-astrogam scien'fic pipeline Kalman filtering photon list PSF, energy resolu'on, effec've area, background Sensi'vity V. Fiore8 (INAF/IASF Bologna) eastrogam workshop 01/03/2017 9
10 e-astrogam event reconstruc'on Cluster X/Y posi'on and energy Input Gamma-ray event selec'on Gamma-ray/background event discrimina'on Event classifica'on Cleaned cluster X/Y posi'on and energy Output We are working on finding the best trigger criteria for the selec'on of Gamma-rays interac'ng with e-astrogam These trigger criteria are providing also mul' criteria sec'on parameters for Neural Network training Credits: A. Bulgarelli V. Fiore8 (INAF/IASF Bologna) eastrogam workshop 01/03/
11 e-astrogam Kalman filtering Evalua'ng the e-astrogam scien'fic performance Geant4 simula'on trigger list Event reconstruc'on cleaned trigger list e-astrogam scien'fic pipeline Kalman filtering photon list PSF, energy resolu'on, effec've area, background Sensi'vity V. Fiore8 (INAF/IASF Bologna) eastrogam workshop 01/03/
![profiles Output 30 ZX face 30 ZY face ZX ZY 25 25 35 30 20 20 25 20 Z [cm]](/docs-images/75/71892860/images/12-5.jpg "15 Z [cm] 15 Z [cm] 15 10 10 10 5 0 5 5-5 0 3D 0 5 5 10 10 15 15 0 0 5 10")
![15 20 25 30 35 40 X [cm] 0 5 10 15 20 25 30 Y [cm] Credits: A.](/docs-images/75/71892860/images/12-7.jpg "Aboudan Y [cm] 20 20 25 X [cm] V.")
12 e-astrogam Kalman filtering for posi'on reconstruc'on Cleaned cluster X/Y posi'on and energy Kalman filter 2D and 3D tracks, event direc'on and energy Input Based on a Rauch-Tung-Striebel smoother and endowing a Kalman filter as the forward step, the algorithm builds 3D tracks matching 2D profiles Output 30 ZX face 30 ZY face ZX ZY Z [cm] 15 Z [cm] 15 Z [cm] D X [cm] Y [cm] Credits: A. Aboudan Y [cm] X [cm] V. Fiore8 (INAF/IASF Bologna) eastrogam workshop 01/03/
13 e-astrogam Kalman filtering: mul'ple hypotesis and track selec'on Each track has its own state: It is confirmed only if associated with a suitable number of hits Only confirmed tracks are considered to reconstruct the event Secondary track ZY face Primary track with higher energy Measurements that are not associated with tracks are used to create new tracks or to split tracks: the algorithm keeps mul3ple hypothesis about the par'cle trajectories Other tracks are pruned out 10 during the processing (to increase processing speed) or during the track selec'on stage Z [cm] 15 5 Credits: A. Aboudan Y [cm] V. Fiore8 (INAF/IASF Bologna) eastrogam workshop 01/03/
14 The eastrogam Point Spread Func'on Evalua'ng the e-astrogam scien'fic performance Geant4 simula'on trigger list Event reconstruc'on cleaned trigger list e-astrogam scien'fic pipeline Kalman filtering photon list PSF, energy resolu'on, effec've area, background Sensi'vity V. Fiore8 (INAF/IASF Bologna) eastrogam workshop 01/03/
15 e-astrogam scien'fic performance: PSF The angular resolu'on of e-astrogam in the pair produc'on regime is computed using the 68% containment radius of a single King profile fit. V. Fiore8 (INAF/IASF Bologna) eastrogam workshop 01/03/
16 e-astrogam linear polarisa'on in the pair regime: first tests V. Fiore8 (INAF/IASF Bologna) eastrogam workshop 01/03/
17 e-astrogam detec'on of linear polarisa'on in the pair regime: first tests General procedure: selec'on of only pair produc'on events from BoGEMMs Kalman filter is used to reconstruct the photon direc'on and the e-/e+ track direc'on Only photons within 68% containment radius are taken the azimuthal angle in computed in the photon frame Simula'on set-up: - Energy = 100 MeV - θ = 30 deg. - φ = 225 deg. - Polariza'on angle = 20 deg. Credits: D. Bernard Results: s3ll no significant results, but the ac3vity is in progress (need for more sta3s3cs) In collaborason with D. Bernard and F. Longo V. Fiore8 (INAF/IASF Bologna) eastrogam workshop 01/03/
18 e-astrogam linear polarisa'on in the pair regime: no Polarisa'on case Without polarisa'on, two peaks appear at about +/- 50 deg. This is a bias of the primary photon azimuthal direc'on in the tracker system of reference. If θ=30, φ=0 is used as primary direc'on, the peaks in the omega distribu'on appear at 0 and +/- 90 deg. V. Fiore8 (INAF/IASF Bologna) eastrogam workshop 01/03/
19 e-astrogam linear polarisa'on in the pair regime: Polarisa'on = 20 deg. The no-polarisa'on curve is subtracted to the polarized simula'on and the resul'ng histogram is ficed by the model B + A*cos(2(x - omega_0)) The best fit parameters and the reduced Chi2 are: w_0 = 20±19 deg. A = 11±7.5 B = 482±5 Chi2/dof = 94/57 V. Fiore8 (INAF/IASF Bologna) eastrogam workshop 01/03/
20 the e-astrogam scien'fic pipeline 2.0 V. Fiore8 (INAF/IASF Bologna) eastrogam workshop 01/03/
21 On-going ac'vi'es The op'miza'on of the full simula'on and data reduc'on chain is in progress to improve the e-astrogam sensi'vity. BoGEMMS simula'on: - ability to discriminate between Compton and Pair produc'on events to train the event reconstruc'on - sta's'cs improvements - physics debugging (it never ends!) - linear polarisa'on evalua'on Event reconstruc'on: - classifica'on of events in different energy channels and Compton/pair discrimina'on using mul'-variate analysis - event reconstruc'on algorithm op'miza'on (e.g. neural networks/bdt/pacern recogni'on) for each event class - op'mized Gamma-ray/background discrimina'on Kalman filter: - code parameterisa'on in terms of detector geometry/tracking algorithm - release of a C++ code (currently in Matlab) - algorithm op'misa'on and valida'on V. Fiore8 (INAF/IASF Bologna) eastrogam workshop 01/03/
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