Status Report & Plans - Work package 1: Physics & Simulation - 16/9/2020 Meeting with RD-FA Referees

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Status Report & Plans - Work package 1: Physics & Simulation - 16/9/2020 Meeting with RD-FA Referees
Work package 1: Physics & Simulation
      Status Report & Plans

    16/9/2020 Meeting with RD-FA Referees
         P. Azzi (PD), S. Braibant (BO)
Status Report & Plans - Work package 1: Physics & Simulation - 16/9/2020 Meeting with RD-FA Referees
Summary since last meeting March 2020

International collaboration activities:
   due to COVID trips planned to exchange students with IHEP (via
   FEST) have been blocked.
   Collaboration mantained with FCC-ee and CEPC communities
   via virtual meetings for preparation of documents and planning
   of workshops
Participation to effort for Snowmass process for R&D and
analysis(LOIs)
Continued development of IDEA FullSim and FastSim (DELPHES)
description and performance studies.
Continued development of a global software framework effort for
future experiments/machines (Key4HEP) in collaboration with both
FCC-ee and CEPC

                   RD-FA Referee Mtg - WG1 Report 16/09/2020        2
Status Report & Plans - Work package 1: Physics & Simulation - 16/9/2020 Meeting with RD-FA Referees
IDEA Tracker System Simulation Status
                          G. Tassielli (LE), W. Elmetenawee(BA), N. DeFilippis(BA)
    Standalone GEANT implementation of drift chamber: code development for
    a coherent description of both DriftChamber and DR Calorimeter in a
    standalone Geant framework in progress

          The IDEA full simulation
       Simplified description of drift chamber in FCCSW already available, can now
       be compared with the more detailed one, in collaboration with CERN fellow
       (V. Volkl, CERN)

an to provide a standalone        Geant4
                   RD-FA Referee Mtg           simulation
                                     - WG1 Report 16/09/2020 for IDEA dete
                                                                       3
Status Report & Plans - Work package 1: Physics & Simulation - 16/9/2020 Meeting with RD-FA Referees
Dual Readout Calorimeter Status
                                 L. Pezzotti(PV), M. Antonello (MI), J. Vivarelli (Sussex)

    Geant4 fully projective fiber calorimeter description available in GitHub/lxplus
        Collaboration with South Korea in progress (2Million grant obtained by SK)
                                          Geant4
        porting to DD4HEP and FCCSW ongoing        Simulation
                                            (w/ CERN)
    Performance studies with single particles, jets and physics
                                                Currently        events
                                                          we support two Geant4 appli
    Reconstruction code developed to reconstructThey are both2evolving but can
                                                                jets final     already
                                                                             states.
     Exclusive
rojective          jet clustering
           tower-based dual-readout with  N=2. Now moving
                                    calorimeter.    • INFNoncode
                                                             to 4on
                                                                  and  6.
                                                                    [github].
l studies.
                                                         How to run locally or with cvmfs
                                                         sourcing [TWiki].

                                                         Geometry adapted to the IDEA
                                                         drift chamber volume.

                                                     •   South Korea code on [github].
                           RD-FA Referee Mtg - WG1 Report 16/09/2020                        4
Status Report & Plans - Work package 1: Physics & Simulation - 16/9/2020 Meeting with RD-FA Referees
Physics benchmarks - 2 jets final state
Physics benchmarks - 2 jets final states

e +e − → HZ → χ̃0 χ̃0 jj
                                                 Only decays to u,d,s,c
                                                 c semileptonic decays
                                                 excluded

e +e − → WW → νμμjj                              Contribution of tagged muon
                                                 from Monte Carlo truth
                                                 subtracted from the
                                                 calorimeter signal
                                                 c semileptonic decays excluded

e +e − → HZ → bbνν                               b semi-leptonic
                                                 decays excluded

Still very well separated peaks when solenoid is included!                              From INFN group

Lorenzo Pezzotti - FCCSW Meeting 5/6/2020                                                            15

                                            RD-FA Referee Mtg - WG1 Report 16/09/2020                     5
Status Report & Plans - Work package 1: Physics & Simulation - 16/9/2020 Meeting with RD-FA Referees
Physics benchmarks - 2 photons final states

Physics benchmarks - 2-photons final states

e +e − → HZ → γγνν

5 million events fully simulated at Sussex
University.

Starting from calibration constants estimated
with particle gun, after few energy corrections,
the resolution on the mass term is consistent
with the single photon energy resolution.

                                                                                        From INFN group

Lorenzo Pezzotti - FCCSW Meeting 5/6/2020                                                            16

                                            RD-FA Referee Mtg - WG1 Report 16/09/2020                     6
Delphes Fast Simulation of IDEA Detector Concept
                               E. Fontanesi, S. Braibant (BO), F. Bedeschi, L. Pezzotti(PV)
Delphes provides the response of a multipurpose detector in a parameterised way
Addition to the official IDEA Delphes card of the covariance matrix description for tracks.
Crucial feature for improving development of b- and c-tagging algorithm in a more
realistic way
    Validation in progress in view of usage for « case studies »

    σ p p T versus p T (GeV)                                      0.16

                                                 Events/0.5 GeV
      T

                                                                  0.14                            IDEA
                                                                                                      Covariance
                                                                                                      Delphes
                                                                  0.12
                                                                                                      Delphes Cov

                                                                   0.1

                                                                  0.08

                                                                  0.06

                                                                  0.04

                                                                  0.02
  Performance with vertex detector
                                                                    0
  + drift chamber + Si wrappers                                     120   122   124   126   128     130       132      134
                                                                                                             Recoil mass (GeV)
                                   7

                               RD-FA Referee Mtg - WG1 Report 16/09/2020                                                         7
Deep Learning for Tau-ID
                                                                              S. Giagu,S.Francescato, L.Sabetta(RM)
      Sviluppo di modelli basati su DeepNN models per tau ID nel calorimetro dual-readout e detector
      IDEA                                                                                                                                                                               τ → final state
                                                                                                                                                                                0              π 0π −ντ
                                                                                                                                                                                             e −−ν̄eντ
      Stima e ottimizzazione delle prestazioni/disegno del calorimetro dual-readout
                                                                                                                                                                                1
      Studio preliminare: identificazione decadimenti di tau singoli in un modulo del prototipo del
                                                                                                                                                                                2             μ ν̄μντ
      calorimetro
                                                                                                                                                                                3               π −ντ
      Ongoing: Z→ττ vs Z→qq con full simulation del detector IDEA completo
                                                                                                                                                                                4         π −π −π +ντ
                                                                                                                                                                                            π 0π 0π −ντ

                                                     2x2

                                                              2x2

                                                                      2x2

                                                                              2x2

                                                                                      2x2
                                                                                                                                                                                5

                                                   3x3

                                                            3x3

                                                                    3x3
                                                                    3x3

                                                                            3x3
                                                                            3x3

                                                                                    3x3
                                                                                    3x3
                                                                                                                                                                  6 classes
                                 111x111x10
                                                                                                                                                                  probability
                                    input
                                                                                                                                                                    output

                                                   64      128      256     512     512     1536 6
                                                                      256     512     512      1536
                                                         CNN                                                                                        1.02

                                                                                                 Rejection (1-Efficiency) for the others τ decays
                                                                                                                                                       1

                                                                                                                                                    0.98

                                                                                                                                                    0.96

111                                                                                                                                                 0.94   Average Accuracy
                                    CHERENKOV                                                                                                       0.92
                                                                                                                                                                99.6%
                                                                                                                                                     0.9
                            SCINT
                                                                                                                                                    0.88
                                                                                                                                                            ROC Curve
              111                                                                                                                                   0.86
                                                                                                                                                           0.65    0.7   0.75       0.8       0.85      0.9   0.95       1
    “immagini” formate da gruppi di fibre canali:                                                                                                                        Efficiency for a given τ decay

 feature estratte dall’elettronica di lettura dei SiPM
                                              RD-FA Referee Mtg - WG1 Report 16/09/2020                                                                                                                              8
Common software framework key4HEP
                                                   P. Giacomelli(BO), P. Azzi (PD)
INFN took initiative to propose towards a common software framework
for different experiments at future colliders (Meetings in 06/2019,
01/2020)
Consensus reached among software and computing experts on:
   Common Event Data Model (EDM4HEP) managed by the PODIO-
   like tool
   Common Turnkey Software Stack (Key4HEP) connecting and
   extending the individual packages to enable a complete data
   processing framework
As of today first version of key4HEP available on CVMFS that can
be installed and tested https://key4hep.github.io/key4hep-doc/setup-
and-getting-started/README.html
Regular weekly meetings with presence of INFN, CERN, IHEP, DESY
etc. https://codimd.web.cern.ch/qbTPSTfhQayEDwXPfmQRXg?both
                  RD-FA Referee Mtg - WG1 Report 16/09/2020                      9
Detector Requirements Studies: benchmarks & plans

For FCC-ee and CEPC: focus on benchmark physics studies to extract detector
performance requirement.
   To push realization of studies and preliminary detector concepts and proto-collaborations
   by 2023 FCC-ee management created a new Physics Performance Coordination role (P.
   Azzi (INFN), E. Perez(CERN).
Study physics cases at each energy scale (Z, H, top) to better define the real
detector requirements for FCC-ee. Summary here:      https://indico.cern.ch/event/
951830/contributions/4000220/attachments/2095812/3522643/SNOWMASS21-EF0-
NF0-RF0-TF0-IF0-CompF0-017.pdf
Profit of the Snowmass process to submit LOIs of interest to INFN work (complete
list https://indico.cern.ch/event/951830) and extend international collaboration:
   Instrumentation Frontier: IDEA Detector (Bedeschi et al. ), IDEA Drift Chamber for
   a Lepton Collider (F. Grancagnolo et al.) , mu-RWell Detector (P. Giacomelli et al.) ,
   Dual Readout Calorimetry (R. Ferrari et al.)
   Energy Frontier: Search for LLP at the FCC-ee (P. Azzi et al.) , Top quark Physics
   at the FCC-ee (P. Azzi et al.), Measurement of the W mass (P. Azzurri et al.)
   Computing Frontier: Key4Hep (P. Giacomelli et al.)
                         RD-FA Referee Mtg - WG1 Report 16/09/2020                         10
Richieste di Calcolo RD_FCC

Programma di lavoro 2021 focalizzato su:
    sviluppo simulazione Full per i rivelatori componenti di IDEA e studio delle prestazioni
    sviluppo di nuovi algoritmi di ricostruzione e identificazione
    sviluppo dei « case studies » per lo studio di richieste di fisica sul design dei rivelatori
Nuovo software framework (Key4HEP) in progress. Primi studi pero’ con Geant standalone
FullSim e Delphes.
Dimensione eventi per FCC-ee/CEPC ~piccola (da esperienza pregressa), ma alta statstica
necessaria a Tera-Z e diverse analisi previste.
    es FullSim del DR calorimetro per ora salvata solo poca informazione e pochi eventi
    (200MB per 50K-> scala di un fattore 100 se si salva piu’ info). Simile rapporto per CPU.
Richiesta per 2021 con le informazioni che abbiamo ora scalando in modo realistico:
    100TB di disco al CNAF
    1 kspec di CPU
Momento molto fluido (COVID non ha aiutato), probabile aumento di collaboratori e di analisi
piu’ complete durante il 2021 focalizzato su preparazione per TDR per le proto-collaboration
dei rivelatori
                           RD-FA Referee Mtg - WG1 Report 16/09/2020                               11
Activities for 2021

Possibility of sending students to IHEP and HK with the FEST program for software
development and detector requirement studies depending on the COVID-19 situation
—> Several sections involved (BA,BO,FE,LE,LNF, MI,PI,PV,TO)
Continue Delphes development with features necessary to its use for performance
studies (P. Azzi-PD, S. Braibant-BO, M. Selvaggi-CERN)
Porting GEANT4 standalone full simulation of IDEA complete detector in DD4HEP
and validation (L. Pezzotti-PV, S. Lo Meo-BO, P. Azzi-PD, N. De Filippis-BA, G.
Tassielli-LE)
   CERN hiring more fellows for new software development Key4HEP
   Stronger collaboration with SouthKorea and Sussex on Dual Readout
   Calorimeter software needs
Continue work on object/event reconstruction and begin new « case studies »:
   i.e. in DRCalo tau shower reconstruction using DNN (S. Giagu-Roma1, L.
   Pezzotti-PV)
   start of new case studies analyses for detector requirement definition (P. Azzi-
   PD, P. Azzurri-PI, G. Panizzo-UD, L. Pezzotti-PV, etc)
                       RD-FA Referee Mtg - WG1 Report 16/09/2020                      12
European Funding Applications & Publications

AIDAinnova proposal submitted. Results known in October. (likely
to be funded and start in February/Mars 2021). It includes key4hep
and several IDEA detector and software developments. IDEA the
project with the biggest funding with more than 500Keuro. (P.
Giacomelli BO+CERN+DESY+etc).
Experimental MSCA ITN « SPIRAL-NET » for performance studies
and detector requirements at lepton colliders(SPIRAL-NET)
unfortunately rejected (as all the HEP projects). Will be resubmitted
now that Strategy is out. (P. Azzi PD+8 European Institutes+CERN,
DESY, KEK)
Preparation of a special issue of EPJ+ review article in
collaboration with Nature/Springer: « The next big leap ».
Several INFN people responsible for sections both for physics and
detector challenges.
                   RD-FA Referee Mtg - WG1 Report 16/09/2020            13
Conclusions

Software and physics activities for RD-FA are very complex
and delicate topic. COVID-19 had in impact on some of the
planned activities involving travel. Nonetheless continued
progress both on the simulation development and
benchmark studies.
For the future:
   Growing internal and international collaboration to
   increase with European/International grants (barring
   COVID19)
   Expanding simulation and reconstruction work to be
   applied to concrete benchmark cases for detector
   requirement. Nicely connected to R&D studies as well.
                  RD-FA Referee Mtg - WG1 Report 16/09/2020   14
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