| 185 |
// variables needed to load magnetic field maps |
// variables needed to load magnetic field maps |
| 186 |
// |
// |
| 187 |
Int_t ntrkentry = 0; |
Int_t ntrkentry = 0; |
| 188 |
|
Int_t npmtentry = 0; |
| 189 |
ULong64_t tttrkpar1 = 0ULL; |
ULong64_t tttrkpar1 = 0ULL; |
| 190 |
Bool_t trkpar1 = true; |
Bool_t trkpar1 = true; |
| 191 |
ULong64_t tttofpar1 = 0ULL; |
ULong64_t tttofpar1 = 0ULL; |
| 537 |
// |
// |
| 538 |
ei = l0reg->event; |
ei = l0reg->event; |
| 539 |
// |
// |
| 540 |
|
// |
| 541 |
|
// |
| 542 |
|
tof->Clear(); |
| 543 |
|
Int_t pmt_id = 0; |
| 544 |
|
ToFPMT *t_pmt = new ToFPMT(); |
| 545 |
|
TClonesArray &tpmt = *tof->PMT; |
| 546 |
|
ToFTrkVar *t_tof = new ToFTrkVar(); |
| 547 |
|
TClonesArray &t = *tof->ToFTrk; |
| 548 |
|
// |
| 549 |
// paranoid check |
// paranoid check |
| 550 |
// |
// |
| 551 |
if ( atime > runinfo->RUNTRAILER_TIME || atime < runinfo->RUNHEADER_TIME ) { |
if ( atime > runinfo->RUNTRAILER_TIME || atime < runinfo->RUNHEADER_TIME ) { |
| 577 |
// |
// |
| 578 |
// start processing |
// start processing |
| 579 |
// |
// |
|
tof->Clear(); |
|
|
//tof = new ToFLevel2(); |
|
|
|
|
| 580 |
// |
// |
| 581 |
// Here we will use some procedure to calibrate our data and put some kind of informations in the cinput structure |
// Here we will use some procedure to calibrate our data and put some kind of informations in the cinput structure |
| 582 |
|
|
| 593 |
// |
// |
| 594 |
// Here we have calibrated data, ready to be passed to the FORTRAN routine which will extract common and track-related variables. |
// Here we have calibrated data, ready to be passed to the FORTRAN routine which will extract common and track-related variables. |
| 595 |
// |
// |
| 596 |
|
npmtentry = 0; |
| 597 |
|
// |
| 598 |
|
ntrkentry = 0; |
| 599 |
// |
// |
| 600 |
// Calculate tracks informations from ToF alone |
// Calculate tracks informations from ToF alone |
| 601 |
// |
// |
| 602 |
tofl2com(); |
tofl2com(); |
| 603 |
// |
// |
| 604 |
|
memcpy(tof->tof_j_flag,tofoutput_.tof_j_flag,6*sizeof(Int_t)); |
| 605 |
|
// |
| 606 |
|
t_tof->trkseqno = -1; |
| 607 |
|
// |
| 608 |
// and now we must copy from the output structure to the level2 class: |
// and now we must copy from the output structure to the level2 class: |
| 609 |
// |
// |
| 610 |
// common variables not related to the track |
t_tof->npmttdc = 0; |
| 611 |
for (Int_t kk=0; kk<3;kk++){ |
// |
|
tof->xtofpos[kk] = tofoutput_.xtofpos[kk]; |
|
|
tof->ytofpos[kk] = tofoutput_.ytofpos[kk]; |
|
|
} |
|
|
|
|
|
for (Int_t kk=0; kk<6;kk++){ |
|
|
tof->tof_i_flag[kk]=tofoutput_.tof_i_flag[kk]; |
|
|
tof->tof_j_flag[kk]=tofoutput_.tof_j_flag[kk]; |
|
|
} |
|
|
|
|
|
for (Int_t kk=0; kk<13;kk++){ |
|
|
tof->betatof_a[kk] = tofoutput_.betatof_a[kk]; |
|
|
} |
|
|
|
|
| 612 |
for (Int_t hh=0; hh<12;hh++){ |
for (Int_t hh=0; hh<12;hh++){ |
| 613 |
for (Int_t kk=0; kk<4;kk++){ |
for (Int_t kk=0; kk<4;kk++){ |
| 614 |
tof->adctof_c[hh][kk] = tofoutput_.adctof_c[hh][kk]; |
if ( tofoutput_.tofmask[hh][kk] != 0 ){ |
| 615 |
} |
pmt_id = tof->GetPMTid(kk,hh); |
| 616 |
|
t_tof->pmttdc.AddAt(pmt_id,t_tof->npmttdc); |
| 617 |
|
t_tof->npmttdc++; |
| 618 |
|
}; |
| 619 |
|
}; |
| 620 |
|
}; |
| 621 |
|
for (Int_t kk=0; kk<13;kk++){ |
| 622 |
|
t_tof->beta[kk] = tofoutput_.betatof_a[kk]; |
| 623 |
} |
} |
| 624 |
|
// |
| 625 |
|
t_tof->npmtadc = 0; |
| 626 |
for (Int_t hh=0; hh<12;hh++){ |
for (Int_t hh=0; hh<12;hh++){ |
| 627 |
for (Int_t kk=0; kk<4;kk++){ |
for (Int_t kk=0; kk<4;kk++){ |
| 628 |
tof->tdc_c[hh][kk] = tofoutput_.tdc_c[hh][kk]; |
if ( tofoutput_.adctof_c[hh][kk] < 1000 ){ |
| 629 |
} |
t_tof->dedx.AddAt(tofoutput_.adctof_c[hh][kk],t_tof->npmtadc); |
| 630 |
} |
pmt_id = tof->GetPMTid(kk,hh); |
| 631 |
|
t_tof->pmtadc.AddAt(pmt_id,t_tof->npmtadc); |
| 632 |
|
t_tof->npmtadc++; |
| 633 |
|
}; |
| 634 |
|
}; |
| 635 |
|
}; |
| 636 |
// |
// |
| 637 |
// Calculate track-related variables |
memcpy(t_tof->xtofpos,tofoutput_.xtofpos,sizeof(t_tof->xtofpos)); |
| 638 |
|
memcpy(t_tof->ytofpos,tofoutput_.ytofpos,sizeof(t_tof->ytofpos)); |
| 639 |
// |
// |
| 640 |
|
new(t[ntrkentry]) ToFTrkVar(*t_tof); |
| 641 |
|
ntrkentry++; |
| 642 |
|
t_tof->Clear(); |
| 643 |
// |
// |
|
// Calculate variables related to tracks only if we have at least one track (from selftrigger and/or tracker) |
|
| 644 |
// |
// |
|
ntrkentry = 0; |
|
| 645 |
// |
// |
| 646 |
// if ( trk->GetNTracks() > 0 ){ |
t_pmt->Clear(); |
| 647 |
|
// |
| 648 |
|
for (Int_t hh=0; hh<12;hh++){ |
| 649 |
|
for (Int_t kk=0; kk<4;kk++){ |
| 650 |
|
if ( tofoutput_.tdc_c[hh][kk] < 4095 || tofEvent->adc[kk][hh] < 4095 ){ |
| 651 |
|
// |
| 652 |
|
t_pmt->pmt_id = tof->GetPMTid(kk,hh); |
| 653 |
|
t_pmt->tdc_tw = tofoutput_.tdc_c[hh][kk]; |
| 654 |
|
t_pmt->adc = tofEvent->adc[kk][hh]; |
| 655 |
|
// |
| 656 |
|
new(tpmt[npmtentry]) ToFPMT(*t_pmt); |
| 657 |
|
npmtentry++; |
| 658 |
|
t_pmt->Clear(); |
| 659 |
|
}; |
| 660 |
|
}; |
| 661 |
|
}; |
| 662 |
|
// |
| 663 |
|
// Calculate track-related variables |
| 664 |
|
// |
| 665 |
if ( trk->ntrk() > 0 ){ |
if ( trk->ntrk() > 0 ){ |
| 666 |
// |
// |
| 667 |
// We have at least one track |
// We have at least one track |
| 669 |
// |
// |
| 670 |
// Run over tracks |
// Run over tracks |
| 671 |
// |
// |
|
// example: how to use tracker data |
|
| 672 |
for(Int_t nt=0; nt < trk->ntrk(); nt++){ |
for(Int_t nt=0; nt < trk->ntrk(); nt++){ |
| 673 |
// |
// |
| 674 |
TrkTrack *ptt = trk->GetStoredTrack(nt); |
TrkTrack *ptt = trk->GetStoredTrack(nt); |
| 685 |
// |
// |
| 686 |
// Copy values in the class from the structure (we need to use a temporary class to store variables). |
// Copy values in the class from the structure (we need to use a temporary class to store variables). |
| 687 |
// |
// |
| 688 |
ToFTrkVar *t_tof = new ToFTrkVar(); |
t_tof->npmttdc = 0; |
| 689 |
|
for (Int_t hh=0; hh<12;hh++){ |
| 690 |
|
for (Int_t kk=0; kk<4;kk++){ |
| 691 |
|
if ( tofoutput_.tofmask[hh][kk] != 0 ){ |
| 692 |
|
pmt_id = tof->GetPMTid(kk,hh); |
| 693 |
|
t_tof->pmttdc.AddAt(pmt_id,t_tof->npmttdc); |
| 694 |
|
t_tof->npmttdc++; |
| 695 |
|
}; |
| 696 |
|
}; |
| 697 |
|
}; |
| 698 |
for (Int_t kk=0; kk<13;kk++){ |
for (Int_t kk=0; kk<13;kk++){ |
| 699 |
t_tof->beta_a[kk] = tofoutput_.beta_a[kk]; |
t_tof->beta[kk] = tofoutput_.beta_a[kk]; |
| 700 |
} |
}; |
| 701 |
|
// |
| 702 |
|
t_tof->npmtadc = 0; |
| 703 |
for (Int_t hh=0; hh<12;hh++){ |
for (Int_t hh=0; hh<12;hh++){ |
| 704 |
for (Int_t kk=0; kk<4;kk++){ |
for (Int_t kk=0; kk<4;kk++){ |
| 705 |
t_tof->adc_c[hh][kk] = tofoutput_.adc_c[hh][kk]; |
if ( tofoutput_.adc_c[hh][kk] < 1000 ){ |
| 706 |
} |
t_tof->dedx.AddAt(tofoutput_.adc_c[hh][kk],t_tof->npmtadc); |
| 707 |
} |
pmt_id = tof->GetPMTid(kk,hh); |
| 708 |
|
t_tof->pmtadc.AddAt(pmt_id,t_tof->npmtadc); |
| 709 |
|
t_tof->npmtadc++; |
| 710 |
|
}; |
| 711 |
|
}; |
| 712 |
|
}; |
| 713 |
|
// |
| 714 |
|
memcpy(t_tof->xtofpos,tofoutput_.xtofpos,sizeof(t_tof->xtofpos)); |
| 715 |
|
memcpy(t_tof->ytofpos,tofoutput_.ytofpos,sizeof(t_tof->ytofpos)); |
| 716 |
// |
// |
| 717 |
// Store the tracker track number in order to be sure to have shyncronized data during analysis |
// Store the tracker track number in order to be sure to have shyncronized data during analysis |
| 718 |
// |
// |
| 720 |
// |
// |
| 721 |
// create a new object for this event with track-related variables |
// create a new object for this event with track-related variables |
| 722 |
// |
// |
|
TClonesArray &t = *tof->ToFTrk; |
|
| 723 |
new(t[ntrkentry]) ToFTrkVar(*t_tof); |
new(t[ntrkentry]) ToFTrkVar(*t_tof); |
|
// |
|
|
delete t_tof; |
|
|
// |
|
| 724 |
ntrkentry++; |
ntrkentry++; |
| 725 |
|
t_tof->Clear(); |
| 726 |
// |
// |
| 727 |
}; // loop on all the tracks |
}; // loop on all the tracks |
| 728 |
}; |
}; |
| 732 |
toft->Fill(); |
toft->Fill(); |
| 733 |
// |
// |
| 734 |
// |
// |
| 735 |
|
// |
| 736 |
|
delete t_tof; |
| 737 |
|
// |
| 738 |
|
// |
| 739 |
|
// |
| 740 |
jumpev: |
jumpev: |
| 741 |
debug = false; |
debug = false; |
| 742 |
// |
// |