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First Activities in Acoustic Detection of Particles in UPV

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KRAKEN: A normal mode code. SCOOTER: A finite element FFP code. SPARC: A time domain FFP code ... for different depths given by the normal mode code KRAKEN. ... – PowerPoint PPT presentation

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Title: First Activities in Acoustic Detection of Particles in UPV


1
First Activities in Acoustic Detection of
Particles in UPV
  • M. Ardid, J. Ramis, V. Espinosa, J.A.
    Martínez-Mora,
  • F. Camarena, J. Alba, V. Sanchez-Morcillo
  • Departament de Física Aplicada, E.P.S. Gandia,
    Universitat Politècnica de València

2
Contents
  • DISAO group
  • Experience in acoustic fields and connections
    with neutrino detection
  • First activities related to particle detection
  • Design of piezoelectric transducers
  • Characterization and calibration of hydrophones
  • Simulation of the propagation of the signal in
    the sea
  • Conclusions and future

3
DISAO group
14 researchers working in (3 of them with Ph.D.
in experimental particle physics)
  • ULTRASOUNDS TRANSDUCTION
  • Non-destructive analysis (fruits, leakages)
    Materials
  • Positioning Vibroacoustics, holography
  • Biomass in fisheries Piezoelectrics
  • Neutrino detection Difussors, room
    acoustics
  • Thermoacoustic Model Quality of
    sound
  • Intense beams Noise mapping
  • NON-LINEAR ACOUSTICS PSYCHOACOUSTICS

4
DISAO group
14 researchers working in
  • ULTRASOUNDS
  • TRANSDUCTION
  • NON-LINEAR ACOUSTICS
  • PSYCHOACOUSTICS

Non-destructive analysis
Materials
Holography
Positioning
Piezoelectrics
Biomass in fisheries
NEUTRINO DETECTION
Vibroacoustics
Thermoacoustic model
Diffusors
Room acoustics
Intense beams
Quality of sound
Noise mapping
5
Connections with neutrino detection
  • Transducers of ultrasounds
  • Example of application Non-destructive analysis
    of fruits

6
Connections with neutrino detection
  • Studies in the sea
  • Example of application study of biomass in
    fisheries

7
Connections with neutrino detection
  • Non-linear acoustics

Intense beams
Thermoacoustic resonator
Self-trapped states of sound
Self-organization of sound
8
First activities related to neutrino detection
9
Design of piezoelectrics transducers
  • Software based on the localized constants method
    using the modified KLM model, R. Krimholtz et
    al., Electronic Letters 6 (1970)

10
Design of piezoelectrics transducers
  • Simulation of the whole transducer (not only the
    piezoelectric)

Friendly interface
11
Design of piezoelectrics transducers
Excitation Response in Time and Frequency
Emitting and Receiving Transfer Functions
  • Results

Input acoustic impedance
12
Design of piezoelectrics transducers
  • Next steps
  • Exhaustive comparison between simulation and
    experimental results
  • Comparison of the results with finite element
    methods
  • Include piezoelectrics with different geometries
    (not only discs/cylinders)
  • Upgrade the model including more effects by using
    secondary circuits
  • Use it, to design the best piezoelectrics sensors
    for acoustic detection of neutrinos
  • Future
  • Include the improved model in the simulation
    package for acoustic detection of neutrinos

13
Characterization and calibration of hydrophones
  • The calibration of hydrophones in the lab is not
    an easy task
  • There are reflections, diffraction, etc, which
    could affect well-known methods of calibration
    like the reciprocity method.
  • We are working in designing a method for
    hydrophone calibration

14
Characterization and calibration of hydrophones
  • MLS (Maximum Length Sequence) signal
  • Pseudo-random signal, analogical version of
    digital sequence consisting of values 1 and -1.
  • Periodic with the period T2N - 1, where N is the
    "order of the sequence", and has a flat frequency
    distribution.
  • Circular autocorrelation provides a delta
    function

MLS order 6
15
Characterization and calibration of hydrophones
  • Time and frequency response of the system (two
    hydrophones tank) using the MLS signal
  • knowing the response of two elements, we could
    know the third one

16
Characterization and calibration of hydrophones
  • Next steps
  • Learn more about the different effects involved
    in acoustic calibration of hydrophones
  • Study the calibration with different signals
    (short signals with few pulses, white noise,
    continuous waves, sweep signal, MLS)
  • Improve the conditions of measurement and
    calibration of the lab building an anechoic tank
  • Design a trustful system of calibration in the
    lab
  • Look for a good and simple neutrino signal
    for calibration
  • Future
  • Design and characterize different sensors for
    neutrino detection
  • Design a trustful system of calibration in
    neutrino detection sites

17
Simulation of the propagation of the signal in
the sea
  • Since recently we are using The Acoustic ToolBox,
    which includes four acoustic models
  • BELLHOP A beam/ray trace code
  • KRAKEN A normal mode code
  • SCOOTER A finite element FFP code
  • SPARC A time domain FFP code
  • We show the application of this code to learn
    about the contribution of the sea surface noise
    to the deep-water noise in the Mediterranean Sea.

18
Simulation of the propagation of the signal in
the sea
  • BELLHOP beam/ray tracing. The rays with small
    angles of emission are curved and do not reach
    the deep sea.

19
Simulation of the propagation of the signal in
the sea
  • Transmission loss for the propagation of sound in
    the Mediterranean Sea for a source in the surface
    and measuring in the sea floor for different
    depths given by the normal mode code KRAKEN.

f 1 kHz
f 15 kHz, no absorp. in water
20
Simulation of the propagation of the signal in
the sea
  • Next steps
  • Learn more about acoustical oceanography codes
  • Include some effects, which are not taken yet
    into consideration
  • Use the parameters of possible neutrino detector
    sites (if available)
  • Compare the results with other simulation
    packages and validate them
  • Upgrade the model for acoustic neutrino detection
    purposes.
  • Future
  • Include the improved model in the simulation
    package for acoustic detection of neutrinos
  • Use it for the inverse problem, neutrino source
    location

21
Conclusions and Future
  • Conclusions
  • We have started to work in some aspects of
    acoustic neutrino detection design of
    piezoelectric transducers, calibration of
    hydrophones and propagation of acoustic signal in
    the sea, reaching some results but knowing that
    there is a long way still.
  • We have seen that we can apply knowledge from
    different acoustic fields to the neutrino
    detection problem
  • Therefore, multidisciplinary collaboration of
    acoustic and particle physics people is
    encouraged
  • Future
  • To consolidate this line of research in our group
  • To participate in an international collaboration
    which faces this complex problem in an organised
    and efficient way.
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