DONUT Reinhard Schwienhorst DOE review 7/28/1999.

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Presentation transcript:

DONUT Reinhard Schwienhorst DOE review 7/28/1999

Reinhard Schwienhorst, DOE review 7/1999 The DONUT collaboration Aichi University, Kobe University, Nagoya University, Science Education Institute of Osaka Prefecture, Toho University, Utsunomiya University, University of California at Davis, Fermilab, Kansas State University, University of Minnesota, University of Pittsburgh, University of South Carolina, Tufts University, University of Athens, College de France, Gyeongsang National University, Changwon National University, Connam National University, Kon-Kuk University, Korean National University of Education, Pusan National University, Wonkwang University University of Minnesota: –P. Border –C. Erickson –K. Heller –L. Mualem –R. Rusack –R. Schwienhorst –J. Sielaff –J. Trammell

Reinhard Schwienhorst, DOE review 7/1999 Outline Introduction –experimental goal –apparatus Analysis flow Emulsion analysis Neutrino interaction examples Preliminary physics results Outlook Conclusions

Reinhard Schwienhorst, DOE review 7/1999 Tau neutrino Experimental goal: establish  existence directly –also search for rare processes From particle data group:

Reinhard Schwienhorst, DOE review 7/1999 Experimental Technique Neutrino production in D s decay –High density beam-dump proton target Short-lived particles decay Long-lived particles interact before they can decay –High intensity proton beam (5  P per spill) Identification of individual  CC interactions –Nuclear emulsion neutrino target  decay can be identified (decay length  2mm) –Shielding to protect the emulsion from muons –Conventional spectrometer Determine which part of the emulsion to analyze Identify interaction products

Reinhard Schwienhorst, DOE review 7/1999 Apparatus veto wall target stand analysis magnet drift chambers muon ID EMCAL Spectrometer Target stand emulsion modules scintillating fiber planes

Reinhard Schwienhorst, DOE review 7/1999 Emulsion module 95% of the mass is emulsion fully sensitive 5% of the mass is emulsion sampling detector less emulsion volume  cheaper than bulk new technology baseemulsion Bulk module (84 plates) ECC module (54 plates) baseemulsionsteel 1mm

Reinhard Schwienhorst, DOE review 7/1999 Emulsion technique Charged particles passing through emulsion ® ionization ® black silver grains after development  size  1  m  plates must be aligned to  1  m ·hardware: x-ray sources ·software: penetrating muons  Scanning stage (microscope) must have resolution < 1  m

Reinhard Schwienhorst, DOE review 7/1999 Emulsion scanning station Scanning table –Microscope –CCD camera with frame grabber –X-Y precision moving table –digitize one field of view ((200  m) 2 ) at 16 depths track recognition hardware –track selector –combine 16 dots to track segments Computer –control stage –record track segments Current scanning speed: 8h/event ((5mm) 2  20mm)

Reinhard Schwienhorst, DOE review 7/1999 Data analysis flow Events on tape Strip events vertex in U view or high p track or calorimeter energy >30GeV Filter neutrino interaction vertex Human scan remove background predict vertex location 6,600, ,000 70,000 1,000 Emulsion scanning in Japan locate event # of eventsstep completed? event selection vertex prediction Event analysis decay kink search

Reinhard Schwienhorst, DOE review 7/1999 Emulsion data analysis Scan Back –project a single track from spectrometer into emulsion –follow the track upstream until it stops –locate other tracks coming from this vertex –difficult in events with many tracks Net Scan –predict a vertex position with the spectrometer –scan the volume around this position –software vertex search –takes more time than scan back

Reinhard Schwienhorst, DOE review 7/1999 Emulsion net scan step 0: prepare vertex prediction

Reinhard Schwienhorst, DOE review 7/1999 Emulsion net scan step 1: all tracks

Reinhard Schwienhorst, DOE review 7/1999 Emulsion net scan step 2: tracks that start inside the volume

Reinhard Schwienhorst, DOE review 7/1999 Emulsion net scan step 3: 3-track vertex

Reinhard Schwienhorst, DOE review 7/1999 Example events e CC interaction  CC interaction  CC interaction candidate charm production candidate

Reinhard Schwienhorst, DOE review 7/1999 e charged current interaction e W X N

Reinhard Schwienhorst, DOE review 7/1999 e charged current interaction

Reinhard Schwienhorst, DOE review 7/1999  charged current interaction W X N 

Reinhard Schwienhorst, DOE review 7/1999  charged current interaction candidate W X N  Each black axis is 1mm long decay products

Reinhard Schwienhorst, DOE review 7/1999  charged current interaction candidate

Reinhard Schwienhorst, DOE review 7/1999 Charm production candidate W X N e or  charm particle charm decay products

Reinhard Schwienhorst, DOE review 7/1999 Searching for rare events:   Tau neutrino magnetic moment current limit   <5.4×10 -7  B interaction:  + e    + e  expect  40 magnetic moment interactions –if   =5.4×10 -7  B –for a low-energy electron cutoff at 1GeV

Reinhard Schwienhorst, DOE review 7/1999 Neutrino magnetic moment interaction (MC)   ee ee 

Reinhard Schwienhorst, DOE review 7/1999 Analysis status 860 neutrino interactions have been found with the spectrometer  450 events have been scanned 144 interactions have been located so far

Reinhard Schwienhorst, DOE review 7/1999 Preliminary physics result *: out of 144 found events; from an enriched sample Number of events †: Prompt neutrinos; does not include efficiencies, background, etc

Reinhard Schwienhorst, DOE review 7/1999 Outlook Spectrometer analysis: –predict vertex location for all events –MC studies efficiencies, neutrino spectrum,... Emulsion analysis: –more events have to be scanned Nagoya –vertex search Nagoya, starting in the US –decay kink search Nagoya, starting in the US

Reinhard Schwienhorst, DOE review 7/1999 Challenges Alignment –spectrometer –spectrometer to emulsion –emulsion : sheet to sheet distortions in a sheet Information exchange Nagoya  US –presence of US collaborators in Nagoya improves information flow Spectrometer analysis –good vertex prediction Emulsion analysis –vertex location

Reinhard Schwienhorst, DOE review 7/1999 Conclusions DONUT will achieve its goal –Preliminary result: we have seen  interaction candidates we will see >10  interactions –we will do parameter studies Some work still remains –Emulsion scanning takes time –vertex location takes precision