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Imaging Maya Pyramids with Cosmic Ray Muons

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Presentation on theme: "Imaging Maya Pyramids with Cosmic Ray Muons"— Presentation transcript:

1 Imaging Maya Pyramids with Cosmic Ray Muons
An Application of the Tools of High Energy Physics

2 The Maya: Extraordinary American Culture

3 Some Background 1839-ff: John Lloyd Stephens with Frederick Catherwood, artist Incidents of Travel in Central America, Chiapas, and Yucatan (1841) Incidents of Travel in Yucatan (1843) Linda Schele (1942 – 1998) UT Austin The Code of Kings (1998) with Peter Mathews

4 What is the internal structure?
Underground Muon Detectors Measure Spatial Distribution of Material Inside by Muon Tomography

5 This is Proven Technology
Luis Alvarez* invented muon tomography in 1960’s to study the 2nd Pyramid of Chephren Spark chambers used to track muons from Belzoni Chamber System worked well—could see structures of caps Main discovery: No other chambers exist * L.W. Alvarez, et al, Search for Hidden Chambers in the Pyramids Using Cosmic Rays, Science 167, , 1970.

6 Cosmic Rays Very high energy “primary” cosmic rays – typically protons – interact in upper atmosphere Shower of unstable sub-nuclear particles created: typically pions, kaons Muons and neutrinos are decay products of pions and kaons

7 Muons (and Neutrinos) are the Main Component of Cosmic Rays at the Earth’s Surface and Below
Primary cosmic rays interact in upper atmosphere Mainly high energy protons Showers of p’s/K’s created Decay within 10’s – 1000’s meters or collide with nuclei in air Muons are produced in decays of p/K Do not have nuclear interactions Lifetime much longer than p/K and dilated by relativity Approximate muon rate at Earth’s surface:

8 Muon Flux at Surface q = 0° q = 75°

9 Muon Interactions in Matter
Energy loss: predominately by ionization Multiple-Coulomb Scattering Ei L Ef dirt, rock:

10 Basic Scheme: Muon enters nominal surface Void along underground path
Some muons will “range out” before reaching detector depending on incident energy and total material along path to detector Trajectories having voids or depressions below nominal surface will have higher rates of muons hitting detector Standard tomographic techniques can be used to reconstruct density of material in sensitive volume above detector Detector measures muon trajectory

11 Feasibility Depends on Underground Flux
Compute flux through a vertical surface buried in homogeneous material at a depth D under a flat plane Zenith-angle shape approx. same at all depths Relative Contrast describes change in flux relative to change in depth D = 40 m d D

12 Arrangement Involving Cylindrical Detectors
Use 2 or more detectors Compensates for “blind cone” inherent in cylindrical detectors Improved sampling of target volume Minimizes excavation

13 Basic Rates/Exposure Times
Extreme Case: 1 m3 void at 50 m Solid angle DW = 1/502 Active area A = 3 m2 Resulting rate per DW bin: ~ 100/day/detector Contrast ~ 1.5 x 1/50 1 s measurement needs 1000 events per DW bin Second detector may see higher rates for same void Bottom line: 1 s survey requires ~10 days 3 s survey requires ~ 3 months Contours of Equal Counting Rate for 2 Detectors (counts/day/pixel) z (meters) x (meters)

14 Detector Requirements
Efficiently trigger/record trajectories of underground muon tracks Projected tracking errors Angle: ±10 mrad Location: ± 1 50 m Provide for momentum threshold to reduce scattering errors Large acceptance: Active Area ~ few m2 0 < F < 2p 20° < Q < 90° Operate in jungle conditions robust/waterproof/simple Projected Track Error Active Area Track of Muon with Momentum p Solid Angle Acceptance

15 Detectors Cylindrical structure Muon tracking
1.5 m diameter 4.5 m long Muon tracking 3 stereo layers WLS-scintillator technology Threshold energy selection To improve pointing accuracy Use inner volume as a Cherenkov radiator Other systems Electronics Mechanical Power/communications

16 Tracking Implementation
MINOS Scintillation Detectors: Use scintillator strips with wavelength-shifting (WLS) fibers Well-developed method, e.g. MINOS Cost-effective Robust Geometry: Three layers of strips on cylindrical form (Cherenkov radiator tank) Axial, 0° stereo ± 30° stereo helices 30 mm strips Þ ~1 cm s

17 Tracking Resolution Measurement errors Multiple Scattering
Vertical Plane Horizontal Plane Distance through Rock (m) s (m) ® ¬ s (m) Measurement Scattering Q = 60° Measurement errors Determined by strip width and stereo angle s < 1m in both planes Multiple Scattering Will dominate tracking errors for R > 40 m Higher Cherenkov threshold can mitigate GEANT simulations in progress

18 Discrimination Against Low-energy Muons
Multiple-Coulomb scattering is large for muons near the end of their range Require minimum value for detected Ef ; options: Energy loss in iron absorber: Heavy ~ 1m thickness Requires additional tracking layers Detect Cherenkov radiation Þ v > c / ngas Cherenkov threshold can be imposed/adjusted at data analysis stage Cherenkov threshold curves:

19 Cherenkov Threshold Implementation
High energy muon Fill central cylindrical volume of detector with Cherenkov radiator gas: C4F10 Muon threshold ~ 2 GeV b = 1 p.e. yield: ~ 35/meter of radiator C4F10 is a freon used for fire suppression Make inner surface of cylinder optically reflecting Place array of photon detectors on bottom of cylinder C4F10 Radiator Cherenkov Photons Photo-detectors

20 Detector Electronics Systems
Data from detector Tracking: 2X448 “hit” bits Cherenkov: Analog out Trigger Based on tracking information only Programmable logic DAQ All tracking bits Cherenkov hits above pedestal Control Trigger/DAQ control Monitor all detector systems

21 Tracking PMT Front-end Boards
Based on Harvard design for Atlas Muon System (LHC) Harvard will design/procure boards for us

22 Trigger Requirements Use only tracking information Require:
>/= 2 Hit “Triplets” Chord c > cmin Direction ? Flexible definition of Triplet Coincidence gate: 20—50 ns Number/pattern of hits to balance: Noise – singles rates Inefficiencies Typical rates: True events ~ 100 Hz CR singles: ~ 4 KHz full detector ~ 25 Hz per strip

23 Detector Summary 2 units to be built (for 3-D reconstruction) Tracking
1.5 m diameter 4.5 m long (for convenience in fabrication/operations) Tracking 3 stereo (0°, ±30°) layers of scintillator/WLS fibers 30 mm strip width; 448 strips per detector unit, readout both ends PMT readout; 28 Hamamatsu M-64’s total (no multiplex) Cherenkov threshold discrimination Polished inner cylinder with C4F10 radiator PMT detection on bottom face of cylinder Typical thresholds ~ 5 – 10 photoelectrons Data acquisition/trigger: ~100 bytes/event, 10—100 Hz rates Commercial DAQ: e.g. “Lab View-like” Simple majority-logic/event-topology-based trigger Local data storage with periodic readout to base station

24 The Real World Funding Logistics
Sandia National Lab has provided detector development funds UT funds supporting initial studies, students National Instruments providing assistance with DAQ Private donors expected to fund “jungle-related” costs Logistics First establish feasibility at UT Support in Belize: transportation, excavation, operations

25 People & Things UT Physics UT Electrical & Computer Eng.
Brian Drell, Cesar Rodriquez Anandi Salinas, Onise Sharia Mark Selover, H. Adam Stevens Austin Gleeson, RFS UT Electrical & Computer Eng. Bill Bard, Lizy John National Instruments Hugo Andrade, Joe Peck UT Mesoamerican Archaeological Research Laboratory (MARL) Prof. Fred Valdez, Director Fermilab—Scintillator Production Anna Pla-Dalmau Harvard HEPL—Front-end Electronics John Oliver Other physicists who contributed in the early stages Prof. Rich Muller, UC Berkeley Dr. Dick Mischke, LANL

26 UT Mesoamerican Archaeological Research Laboratory

27 Potential Target Structure
La Milpa “Structure 1” La Milpa site has relatively good access/infrastructure Developing simulation tools to optimize detector design and placement Plan excavations for deployment

28 Timeline Fall 2004 Winter 2004/05 Summer 2005 Fall 2005 Spring 2006
Complete detector design Complete funding arrangements Develop collaboration assignments Winter 2004/05 Begin construction Simulation tools available Summer 2005 Detector integration and checkout at UT Look for hidden structures in ENS or RLM! Fall 2005 Complete second detector Complete checkout at UT Spring 2006 Transport to Belize

29 Other Potential Applications
Muon Tomography is good for monitoring large underground volumes (~100 m)3, provided: You are interested in structures of scale 1 m – 10 m You can afford to wait for weeks to months to acquire the data The volume of interest is between your detector and the surface Geological studies of aquifers Shapes of underground cavities Time-dependence of water levels Monitoring of geology surrounding underground sites, e.g. underground nuclear waste storage

30 Summary Muon tomography is feasible
Proven in Alvarez experiment New technologies enable simplified detector design WLS/scintillator tracking well-developed/good match Cherenkov threshold detector is indicated New approach to problem of low-energy multiple-scattering Well-understood physics/technology Simplifies system design Excellent project for engaging students Other applications are possible Maybe we can help to learn more about the Maya!


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