- The document discusses the history and technique of measuring the electric dipole moment (EDM) of the neutron, which would violate parity and time reversal symmetry.
- It outlines the key aspects of the new neutron EDM experiment being conducted at the Spallation Neutron Source at Oak Ridge National Laboratory, including using ultracold neutrons stored in superfluid helium-4 and measuring their precession with polarized helium-3 as a comagnetometer.
- It also describes experiments measuring the "dressed spin" effect where the effective g-factors of neutrons and helium-3 are made identical through application of a resonant radiofrequency dressing field, which could improve the sensitivity of the neutron E
Published papers:
Buckyball quantum computer: realization of a quantum gate , M.S. Garelli and F.V. Kusmartsev, European Physical Journal B, Vol. 48, No. 2, p. 199, (2005)
Fast Quantum Computing with Buckyballs, M.S. Garelli and F.V. Kusmartsev, Proceedings of SPIE, Vol. 6264, 62640A (2006)
Theoretical Realization of Quantum Gates Using Interacting Endohedral Fullerene Molecules:
We have studied a physical system composed of two interacting endohedral fullerene molecules for quantum computational purposes. The mutual interaction between these two molecules is determined by their spin dipolar interaction. The action of static magnetic fields on the whole system allow to encode the qubit in the electron spin of the encased atom.
We herein present a theoretical model which enables us to realize single-qubit and two-qubit gates through the system under consideration. Single-qubit operations can be achieved by applying to the system resonant time-dependent microwave fields. Since the dipolar spin interaction couples the two qubit-encoding spins, two-qubit gates are naturally performed by allowing the system to evolve freely. This theoretical model is applied to two realistic architectures of two interacting endohedrals. In the first realistic system the two molecules are placed at a distance of $1.14 nm$. In the second design the two molecules are separated by a distance of $7 nm$. In the latter case the condition $\Delta\omega_p>>g(r)$ is satisfied, i.e. the difference between the precession frequencies of the two spins is much greater than the dipolar coupling strength. This allows us to adopt a simplified theoretical model for the realization of quantum gates.
The realization of quantum gates for these realistic systems is provided by studying the dynamics of the system. In this extent we have numerically solved a set of Schr{\"o}dinger equations needed for reproducing the respective gate, i.e. phase-gate, $\pi$-gate and CNOT-gate. For each quantum gate reproduced through the realistic system, we have estimated their reliability by calculating their related fidelity.
Finally, we present new ideas regarding architectures of systems composed of endohedral fullerenes, which could allow these systems to become reliable building blocks for the realization of quantum computers.
The state of vanishing friction known as superlubricity has important applications for energy saving and increasing the lifetime of devices. Superlubricity detected with atomic force microscopy appears in examples like sliding large graphite flakes or gold nanoclusters across surfaces. However, the origin of the behavior is poorly understood due to the lack of a controllable nano-contact. We demonstrate graphene nanoribbons superlubricity when sliding on gold with a joint experimental and computational approach. The atomically well defined contact allows us to trace the origin of superlubricity, unravelling the role played by edges, surface reconstruction and ribbon elasticity. Our results pave the way to the scale-up of superlubricity toward the realization of frictionless coatings.
the role of exchange bias in domain dynamics controlAndrea Benassi
Models of exchange-bias in thin films have been able to describe various aspects of this technologically relevant effect. Through appropriate choices of free parameters the modelled hysteresis loops adequately match experiment, and typical domain structures can be simulated. However, the use of these parameters, notably the coupling strength between the systems' ferromagnetic (F) and antiferromagnetic (AF) layers, obscures conclusions about their influence on the magnetization reversal processes. Here we develop a 2D phase-field model of the magnetization process in exchange-biased CoO/(Co/Pt)×n that incorporates the 10 nm-resolved measured local biasing characteristics of the antiferromagnet. Just three interrelated parameters set to measured physical quantities of the ferromagnet and the measured density of uncompensated spins thus suffice to match the experiment in microscopic and macroscopic detail. We use the model to study changes in bias and coercivity caused by different distributions of pinned uncompensated spins of the antiferromagnet, in application-relevant situations where domain wall motion dominates the ferromagnetic reversal. We show the excess coercivity can arise solely from inhomogeneity in the density of biasing- and anti-biasing pinned uncompensated spins in the antiferromagnet. Counter to conventional wisdom, irreversible processes in the latter are not essential.
Published papers:
Buckyball quantum computer: realization of a quantum gate , M.S. Garelli and F.V. Kusmartsev, European Physical Journal B, Vol. 48, No. 2, p. 199, (2005)
Fast Quantum Computing with Buckyballs, M.S. Garelli and F.V. Kusmartsev, Proceedings of SPIE, Vol. 6264, 62640A (2006)
Theoretical Realization of Quantum Gates Using Interacting Endohedral Fullerene Molecules:
We have studied a physical system composed of two interacting endohedral fullerene molecules for quantum computational purposes. The mutual interaction between these two molecules is determined by their spin dipolar interaction. The action of static magnetic fields on the whole system allow to encode the qubit in the electron spin of the encased atom.
We herein present a theoretical model which enables us to realize single-qubit and two-qubit gates through the system under consideration. Single-qubit operations can be achieved by applying to the system resonant time-dependent microwave fields. Since the dipolar spin interaction couples the two qubit-encoding spins, two-qubit gates are naturally performed by allowing the system to evolve freely. This theoretical model is applied to two realistic architectures of two interacting endohedrals. In the first realistic system the two molecules are placed at a distance of $1.14 nm$. In the second design the two molecules are separated by a distance of $7 nm$. In the latter case the condition $\Delta\omega_p>>g(r)$ is satisfied, i.e. the difference between the precession frequencies of the two spins is much greater than the dipolar coupling strength. This allows us to adopt a simplified theoretical model for the realization of quantum gates.
The realization of quantum gates for these realistic systems is provided by studying the dynamics of the system. In this extent we have numerically solved a set of Schr{\"o}dinger equations needed for reproducing the respective gate, i.e. phase-gate, $\pi$-gate and CNOT-gate. For each quantum gate reproduced through the realistic system, we have estimated their reliability by calculating their related fidelity.
Finally, we present new ideas regarding architectures of systems composed of endohedral fullerenes, which could allow these systems to become reliable building blocks for the realization of quantum computers.
The state of vanishing friction known as superlubricity has important applications for energy saving and increasing the lifetime of devices. Superlubricity detected with atomic force microscopy appears in examples like sliding large graphite flakes or gold nanoclusters across surfaces. However, the origin of the behavior is poorly understood due to the lack of a controllable nano-contact. We demonstrate graphene nanoribbons superlubricity when sliding on gold with a joint experimental and computational approach. The atomically well defined contact allows us to trace the origin of superlubricity, unravelling the role played by edges, surface reconstruction and ribbon elasticity. Our results pave the way to the scale-up of superlubricity toward the realization of frictionless coatings.
the role of exchange bias in domain dynamics controlAndrea Benassi
Models of exchange-bias in thin films have been able to describe various aspects of this technologically relevant effect. Through appropriate choices of free parameters the modelled hysteresis loops adequately match experiment, and typical domain structures can be simulated. However, the use of these parameters, notably the coupling strength between the systems' ferromagnetic (F) and antiferromagnetic (AF) layers, obscures conclusions about their influence on the magnetization reversal processes. Here we develop a 2D phase-field model of the magnetization process in exchange-biased CoO/(Co/Pt)×n that incorporates the 10 nm-resolved measured local biasing characteristics of the antiferromagnet. Just three interrelated parameters set to measured physical quantities of the ferromagnet and the measured density of uncompensated spins thus suffice to match the experiment in microscopic and macroscopic detail. We use the model to study changes in bias and coercivity caused by different distributions of pinned uncompensated spins of the antiferromagnet, in application-relevant situations where domain wall motion dominates the ferromagnetic reversal. We show the excess coercivity can arise solely from inhomogeneity in the density of biasing- and anti-biasing pinned uncompensated spins in the antiferromagnet. Counter to conventional wisdom, irreversible processes in the latter are not essential.
A presentation on Polarization Spectroscopy by Deepak Rajput, UT Space Institute, TN, USA.
This presentation was made as a course requirement at the University of Tennessee Space Institute at Tullahoma.
Binping xiao superconducting surface impedance under radiofrequency fieldthinfilmsworkshop
Based on BCS theory with moving Cooper pairs, the electron states distribution at 0 K and the probability of electron occupation with finite temperature have been derived and applied to anomalous skin effect theory to obtain the surface impedance of a superconductor under radiofrequency (RF) field. We present the numerical results for Nb and compare these with representative RF field-dependent effective surface resistance measurements from a 1.5 GHz resonant structure.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
Deep Inelastic Scattering at HERA (Hadron-Electron Ring Acceleartor)SubhamChakraborty28
A review presentation about the research and experiments done at HERA related to Deep Inelastic Scattering, High Energy Physics and Quantum Chromodynamics
Branislav K. Nikoli
ć
Department of Physics and Astronomy, University of Delaware, U.S.A.
PHYS 624: Introduction to Solid State Physics
http://www.physics.udel.edu/~bnikolic/teaching/phys624/phys624.html
A presentation on Polarization Spectroscopy by Deepak Rajput, UT Space Institute, TN, USA.
This presentation was made as a course requirement at the University of Tennessee Space Institute at Tullahoma.
Binping xiao superconducting surface impedance under radiofrequency fieldthinfilmsworkshop
Based on BCS theory with moving Cooper pairs, the electron states distribution at 0 K and the probability of electron occupation with finite temperature have been derived and applied to anomalous skin effect theory to obtain the surface impedance of a superconductor under radiofrequency (RF) field. We present the numerical results for Nb and compare these with representative RF field-dependent effective surface resistance measurements from a 1.5 GHz resonant structure.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
Deep Inelastic Scattering at HERA (Hadron-Electron Ring Acceleartor)SubhamChakraborty28
A review presentation about the research and experiments done at HERA related to Deep Inelastic Scattering, High Energy Physics and Quantum Chromodynamics
Branislav K. Nikoli
ć
Department of Physics and Astronomy, University of Delaware, U.S.A.
PHYS 624: Introduction to Solid State Physics
http://www.physics.udel.edu/~bnikolic/teaching/phys624/phys624.html
UCSF Hyperpolarized MR #2: DNP Physics and Hardware (2019Peder Larson
UCSF Hyperpolarized MR Seminar
Summer 2019, Lecture #2
"DNP Physics and Hardware"
Lecturer: Jeremy Gordon
Sponsored by the NIH/NIBIB-supported UCSF Hyperpolarized MRI Technology Resource Center (P41EB013598)
https://radiology.ucsf.edu/research/labs/hyperpolarized-mri-tech
Poster of my master\'s research presented at the Physics@FOM conference at Veldhoven on 20 januari 2010. There\'s one error in the equations, can you find it?
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
The ASGCT Annual Meeting was packed with exciting progress in the field advan...
Neutron EDM and Dressed Spin
1. Neutron EDM and Dressed Spin
Pinghan Chu
University of Illinois at Urbana-Champaign
1
Brookhaven National Lab
Mar. 10, 2011
2. • History of neutron EDM search
• Review of neutron EDM technique
• Neutron EDM experiment at SNS at ORNL
• Measurement of dressed spin
• Theory of dressed spin
• Simulation of dressed spin and neutron EDM
experiment
Outline
2
3. Spin
mirror
• Electric dipole moment (EDM) is the first moment of the charge distribution (ρ).
• The EDM (vector) is parallel to the Spin (axial vector) direction.
• A non-zero neutron EDM violates the parity symmetry.
Parity+- -
Neutron electric dipole moment
3
dn =
dx3
ρx = dn
ˆS
+
4. Purcell Ramsey
• Purcell and Ramsey emphasized the possibility of a non-zero neutron EDM and the
need to check it experimentally.
• They set an upper limit of 3x10-18 e cm from the neutron-nucleus scattering data
(1950).
• They carried out a pioneering measurement of the upper limit of 5x10-20 e cm by
using the separated oscillatory field at Oak Ridge (1950) (later slides).
• The parity violation was suggested by Lee and Yang(1956) and discovered by Wu,
et al.(1957).
• Still no neutron EDM was observed.
Yang Lee Wu
Pioneers of neutron electric dipole moment
4
5. •Landau showed that particles cannot possess EDM from time-reversal invariance
(1957).
•T violation implies CP violation if CPT holds.
• No neutron EDM experiments during 1957-1964.
•CP violation was discovered in neutral Kaons decay by Cronin and Fitch(1964).
Landau
EDM and CP violation
5
Spin
- Time reversal+ - +
Cronin Fitch
dn =
dx3
ρx = dn
ˆS
6. • Baryon asymmetry of universe (BAU) : baryon/photon~10-10.
• Sakharov proposed CP violation as one of necessary ingredients(1967).
•CP violation has only been observed in Kaon and B meson
decays,which can be explained by Kobayashi-Maskawa mechanism
(CKM matrix) in SM(baryon/photon~10 -18).
•Require CP violation beyond the SM.
Sakharov
Baryon asymmetry of Universe and CP violation
6
Kobayashi
Maskawa
7. • Upper limit of neutron EDM (dn)~3x10 -26 e cm.
• Neutron EDM in Standard Model
•Strong interaction: dn ~ θ x 10 -15 e cm, where θ specifies the magnitude of CP
violation in the QCD Lagrangian (θ 10 -10).
•Weak interaction: Phase in CKM matrix: dn ~ 10 -31 e cm
•Neutron EDM provides a strong constraint for new theories predicting CP violation.
•The neutron EDM searches can explore physics beyond SM complementary to LHC.
Neutron EDM in Standard Model
7
8. Super symmetry
Standard Model
Ramsey’s
ILL
K0
Goal of next generation of
nEDM experiments
History of neutron EDM search
•Current neutron EDM upper limit: 2.9 x 10-26 e cm (90% C.L.)
•Still no evidence for neutron EDM.
8
1e-32
1e-30
1e-28
1e-26
1e-24
1e-22
1e-20
1e-18
1e-16
1950 1960 1970 1980 1990 2000 2010
nEDMExperimentLimit[ecm]
Year
Neutron Scat.
In-Flight Mag. Res.
UCN Mag. Res.
9. B0 E0
How to measure neutron EDM?
•Measure the precession frequency of
neutron in B0 and E0.
•Flip E0, get nEDM from precession
frequency difference.
9
B0 ↑ E0 ↑
ω = 2(µnB0 + dnE0)
H = −(µn · B0 + dn · E0)
µn = γn
S, dn = dn
ˆS
→ ω = γnB0 ± 2dnE0/
→ ∆ω = 4dnE0/
10. B0 E0B0 E0
How to measure neutron EDM?
•Measure the precession frequency of
neutron in B0 and E0.
•Flip E0, get nEDM from precession
frequency difference.
10
X B0 ↑ E0 ↓
ω = 2(µnB0 − dnE0)
H = −(µn · B0 + dn · E0)
µn = γn
S, dn = dn
ˆS
→ ω = γnB0 ± 2dnE0/
→ ∆ω = 4dnE0/
11. •Table-size experiment using
separated oscillatory fields
method.
•PR.108,120(1957):
dn5 x 10-20 e cm
RF off on off on
neutron spin is
parallel to
holding field
first π/2 pulse
is applied; spin
is rotated to be
perpendicular
to holding field
neutrons
precess in B
and E
second π/2
pulse is
applied; spin is
rotated to be
anti-parallel to
holding field
PR.78,696(1950)
Purcell and Ramsey’s experiment
11
12. 12
•The peak location determines the precession
frequency.
•Limitations:
1.Short duration for observing the precession
(~1 ms) due to short transit time of cold neutron
beam in this region
2.Systematic error due to motional magnetic
field (v x E)
•Both can be improved by using ultracold
neutrons (UCN) due to their slow velocities (~5
m/s)
Purcell and Ramsey’s experiment
13. •Fermi suggested that neutrons with very low energy can be stored in a
bottle(1936).
•Many materials provide repulsive Fermi potential UF around order of 200
neV for neutrons.
•If neutron energy is less than the Fermi potential UF, neutrons can be
stored in a bottle.
•UF ∼ 200 neV, UCNs have velocities of order of 5 m/sec, wavelengths of
order 500 °A and an effective temperature of order 2 mK.
•Long storage time, low velocity.
•Many experiments with UCN, like neutron life time measurement, neutron
EDM, gravitational interactions of neutrons,etc.
Ultracold neutron (UCN)
13
Fermi
14. •UCN was extracted from the low-energy
tail of the Maxwell-Boltzmann distribution
of cold neutrons(~5 UCN/cm3).
•A method was suggested by Golub and
Pendlebury. Cold neutron with
momentum of 0.7 A-1 (10-3 eV) can excite
a phonon in superfluid 4He and become
an UCN via down-scattering process.
=Much larger UCN density than
conventional UCN sources Down-scattering process
Cohen and Feynman PR.107,13(1957)
UCN production in superfluid 4He
14
15. Collaboration:
Arizona State, Berkeley, Brown, Boston, Caltech, Duke, Indiana,Illinois, Kentucky, LANL, Maryland, MIT,
Mississippi State, NCSU, ORNL, Simon-Fraser, Tennessee, Virginia, Valparaiso, Yale
( Based on the idea originated by R. Golub and S. Lamoreaux in 1994 )
Oak Ridge National Lab
Tennessee
The new neutron EDM experiment
(based on UCN production in superfluid 4He)
15
16. • Use polarized 3He in the bottle as a spin analyzer.
• n – 3He absorption is strongly spin-dependent.
UCN 3He
J=1, σ ~ 0
J=0, σabs ~ 4.8 x 106 barns for v=5 m/s
n +3
He → p +3
H + 764KeV
How to measure the precession of UCN in superfluid 4He?
16
17. L4He
E B
Fill L4He with polarized 3He
T = 0 - 100 s
3He
Experiment cycle
17
collection volume
injection
measurement cell
18. L4He
E B
Produce polarized UCNs with polarized cold
neutron beam
T = 100 - 1100 s
UCN
Phonon
8.9 Å neutrons
3He
Experiment cycle
18
19. L4He
3He
E B
T = 1100 s
UCN
Flip neutron and 3He spins by a π/2 RF coil
Experiment cycle
19
20. L4He
3He
E B
T = 1100 - 1610 s
UCN
•UCN and 3He precess in a uniform B field (~10mG) and a strong E field (~50KV/cm).
Measure the precession of 3He by using SQUID.
•Detect scintillation light from the reaction n + 3He - p + t (and from other sources,
including neutron beta decays)
• θn3 is the relative angle between neutron and 3He.
Scintillation light
3H
P
SQUID
Experiment cycle
dφ(t)
dt
= N0e−Γtott
[
1
τβ
+
1
τ3
(1 − P3Pn cos(θn3))]
20
Total spin σabs at v = 5m/sec
J = 0 ~ 4.8 x 106 barns
J = 1 ~ 0
21. E B
Empty the 3He by using heat flush, change the electric field direction periodically
and repeat the measurement
Empty Line
Experiment cycle
21
T = 1610 - 1710 s
22. SQUID signal
Scintillation signal
SQUID frequency is ~10
times higher than
scintillation frequency
γ3 ≈ 1.1γn
Two oscillatory signals
dφ(t)
dt
= N0e−Γtott
[
1
τβ
+
1
τ3
(1 − P3Pn cos(θn3))]
• Scintillation light from n+3
He → p + t with ωγ = (γn − γ3)B0 ± 2dnE0/
where the relative angle θn3 = ωγt.
• SQUID signal from the precession of 3
He with ω3 = γ3B0.
• Thus, the precession of neutron can be known well.
22
comagnetometer:
reduce the error caused by B0
instability between measurements
23. 0 2 4 6 8 10 12 14 16 18 20 22 24 26
29.9815
29.9820
29.9825
29.9830
29.9835
29.9840
29.9845
5x10
-11
T
Time (hours)
NeutronFrequency(Hz)
Raw neutron frequency
Corrected frequency
•The idea is to add a polarized
atomic species to precess with
neutrons.
•The drift of the holding field can
be monitored by measuring the
precession of the comagnetometer.
•199Hg was applied as a
comagnetometer in ILL experiment
(Phys.Rev.Lett. 97 (2006) 131801:
dn 2.9 x 10-26 e cm). But it cannot
be used in liquid 4He.
•3He will be used for the new
neutron EDM experiment in liquid
4He at the SNS.
Application of comagnetometer
23
24. • Neutrons and 3He naturally precess at different frequencies (different g
factors)
• Applying a RF field (dressing field), Bdcos(ωdt) , perpendicular to the
constant B0 field, the effective g factors of neutrons and 3He will be
modified (dressed spin effect)
• At a critical dressing field, the effective g factors of neutrons and 3He
can be made identical!
Dressed spin in nEDM
ωγ = (γn − γ3)B0 ± 2dnE0/ → ±2dnE0/
24
25. y = γnB0/ωd → 0
x = γnBd/ωd
xc=1.189
Effective g factor
The goal of the UIUC
measurement is to
explore the dressed spin
effect of polarized 3He as
a function of B0, Bd and
ωd in a cell.
Critical dressing of neutron and 3He
x ≡
γnBd
ωd
y ≡
γnB0
ωd
25
• The Larmor frequency is given as ωLarmor = ω0 = γB0
• γ is modified by the dressing field at the high frequency limit
as γ
= γJ0(x)
• The critical dressing is γ
n = γ
3
• Thus J0(xc) = aJ0(axc)
• a = γ3/γn ≈ 1.1
• The proposal value is
B0 = 10 mG,
x = 1.189,
y = 0.01.
26. Experimental setup
26
Helmholtz
Coil
3He Cell
Pickup Coil
Bd Coil
B1 Coil X Y
Lock-in Amplifier
Function
Generator 2
Function
Generator 1
RF voltage
RF Signal
Generator
Power
Supply
PC DAQ
Board
G =32
dBm
Laser
Temperature
Controller
Laser
reftrig
set
Read back
30. •Polarize 3He nuclear spins. (Metastability exchange with optical pumping) (by
Laser and B0)
•π/2 pulse to rotate the spin to x-y plane. (by Bπ/2Cos(ω0t))
•Apply a dressing field, BdCos(ωdt), and measure precession frequency by the
pickup coils and Lock-in amplifier.
X
Y
Z
B0 B0 B0
π/2 pulse NMR signalPolarized spins
Bπ/2(Cos(ω0t)
BdCos(ωdt)
X
Y
Z
X
Y
Z
Experimental steps
30
31. 1)Transfer angular momentum of
photon to atomic electrons
2) produce nuclear polarization via
metastability exchange
C9
C8
C9
Circular
Photons
Metastability Exchange
fluorescence
light
Optical Pumping
Laser Frequency
Diodesignal
Deplete mF= -3/2,-1/2 states
Survive!
RF discharge
Polarize 3He with metastability exchange
31
34. Deviation from J0(x)
Precession slows down!
The effective precession frequency for different dressing field
configuration for y1(ω0ωd)
34
(The proposal value is at y=0.01)
35. Precession speeds up!
The effective precession frequency for different dressing field
configuration for y1 (ω0ωd)
35
38. g ratio is equal to
energy spacing ratio.
Dependence of effective γ in dressing field with dressing field
γ
=
ω
B0
=
∆E
/
B0
=
∆E
/ωd
B/ωd
=
∆E
/ωd
Y/γ
→
γ
γ
=
∆E
∆E
38
39. data
calculation
The effective precession frequency for different dressing field
configuration for y1 (ω0ωd)
39
0.65
0.7
0.75
0.8
0.85
0.9
0.95
1
0 0.2 0.4 0.6 0.8 1 1.2 1.4
eff
/0
x= Bd/ d
a) y1
J0(x)
y=0.15
y=0.30
y=0.50
y=0.80
y=0.90
40. data
calculation
The effective precession frequency for different dressing field
configuration for y1 (ω0ωd)
40
1
1.02
1.04
1.06
1.08
1.1
1.12
1.14
1.16
1.18
1.2
0 1 2 3 4 5
eff
/0
x= Bd/ d
b) y1 y=1.10
y=1.50
y=2.50
y=4.50
y=7.50
P. Chu et al, arXiv:1008.4151
41. -0.6
-0.4
-0.2
0
0.2
0.4
0.6
0.8
1
1.2
0 2 4 6 8 10
eff
/0
X = Bd/ d
Y=0.0
Y=0.9
Critical dressing for other y’s(lower dressing frequencies)
•Other choices for the critical dressing?
•It may help the design of the dressing coils so that we don’t need to run at the
high dressing frequency condition.
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
1.1
1.2
0 0.2 0.4 0.6 0.8 1
xc
y = B0/ d
41
42. 42
•Simulation of the dressed spin dynamics is underway.
•Bloch equation simulation with the 4th order of the Runge-Kutta method is used to
simulate the dressed spin,
•The time dependence of Cosθn3, the relative angle between 3He and neutron spins, is
derived in Physics Report 237, 1-62(1994) as:
•The first term of the analytical expression is a constant close to 1 at the critical dressing
where ωn=ω3. The second term has an oscillatory pattern.
Bloch equation
Simulation of the dressed spin
dS(t)
dt
= S(t) × γ B(t)
B(t) = B0 ˆz + Bd cos ωdtˆx
cos θn3 =
1
2
[1 + J0(xn − x3)] cos[(ωn − ω3)t] +
1
2
[1 − J0(xn − x3)] cos[(ωn + ω3)t]
xn =
γnBd
ωd
, x3 =
γ3Bd
ωd
, ωn = γnB0J0(xn), ω3 = γ3B0J0(x3)
43. Time(Sec)
0 0.02 0.04 0.06 0.08 0.1
n3
cos
0.99
0.991
0.992
0.993
0.994
0.995
0.996
0.997
0.998
0.999
1
,31ncos ,31ncos
43
Simulation of the dressed spin
•Use the proposal values at y=0.01, x=1.189, B0=10 mG, Bd =1189 mG,
fd=-2916.46954Hz, which is very close to the critical dressing.
•The black is the Bloch equation simulation. The red is the analytical expression,
which is consistent with the time average of the simulation.
•The simulation also shows an additional oscillatory pattern at the dressing
frequency and visualize the spin dynamics.
Time(Sec)
0.01 0.0105 0.011 0.0115 0.012
n3
Cos
0.99
0.991
0.992
0.993
0.994
0.995
0.996
0.997
0.998
0.999
1
n3
Cos n3
Cos
http://www.youtube.com/watch?v=xBL_jDjtojc
44. 44
Idea of the feedback
•If the dressing field deviates from the critical dressing, cosθn3 will have
time dependence which will mix with the EDM signal.
•Apply a feedback to compensate the offset, initially proposed by Golub
and Lamoreaux in 1994.
•Add a modulation to vary the angle between neutron and 3He. Any
difference between modulation angles in opposite directions (the
scintillation light) will be the input to the feedback.
UCN
3He
θmax
+ θmax
-
Time (sec)
0 50 100 150 200 250 300 350 400 450 500
n3
cos
0.9998
0.99985
0.9999
0.99995
1
1.00005
1.0001
1.00015
1.0002
run 0 : cell 1run 0 : cell 1
critical dressing
offset
cos θn3 ≈
1
2
[1 + J0(∆x + xn − x3)] cos[(∆ω + ωn − ω3)t]
cosθn3
45. t(Sec)
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
-1.5
-1
-0.5
0
0.5
1
1.5
(t)
(t)m
θmax
+
Apply a modulation
ω+
γ
ω−
γ
45
-0.6
-0.4
-0.2
0
0.2
0.4
0.6
0.8
1
1.2
0 2 4 6 8 10
eff
/n
x = n Bd/ d
UCN
3
He
θmax
-
•Add a modulation on the dressing field so that
•The relative angle between neutron and 3He is varied between θmax
+ and θmax
-.
θmax
+ = θmax
- at the critical dressing.
•Any offset will cause difference in θmax
+ and θmax
-.
•Measure the scintillation light difference in opposite modulation directions.
xc → xc ± xm
offset
ω±
γ = ω0[J0(xc ± xm) − aJ0(a(xc ± xm))]
46. Schematic of feedback loop
n+3He
Bd,0
Φ+
Φ-
Poisson
Distribution
N+
N-
+
-
ΔN= N+-N-
βΔN
αΣ ΔN
Bd,i
dnE
46
dΦ
47. Time (sec)
0 100 200 300 400 500
Event#
300
400
500
600
700
800
900
1000
run 0 : cell 1run 0 : cell 1
Time (sec)
0 100 200 300 400 500
dB
1187.5
1188
1188.5
1189
1189.5
run 0 : bdrun 0 : bd
Monte Carlo for the feedback loop
•Cosθn3 is kept at a constant.
•The signal is kept at the critical dressing.
•Relate the EDM effective field to Bd, fit.
•The feedback can be only applied in a
single measurement cell in the SNS
experiment(since both two cells share the
same dressing coils).
• Many parameters remain to be optimized
47
Time (sec)
0 100 200 300 400 500 600 700 800 900 1000
n3
Cos
0
0.2
0.4
0.6
0.8
1
run 0 : cell 1run 0 : cell 1
48. Parameters for dressing/modulation/feedback
•x and y are discussed in the dressed spin study.
There are critical points for different y’s.
•Modulation amplitude Bm and period τm should
be carefully determined since it is related to the
input signal.
•The feedback parameters α and β are important
for the feedback loop to succeed.
48
t(Sec)
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
-1.5
-1
-0.5
0
0.5
1
1.5
(t)
(t)m
βΔN
αΣ ΔN
•Several parameters should be considered and optimized.
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
1.1
1.2
0 0.2 0.4 0.6 0.8 1
xc
y = B0/ d
•The optimization is still ongoing.
49. Summary
•Neutron EDM is a powerful tool searching for physics beyond SM.
•The goal of next generation experiments is to reach the sensitivity at 10-28 e cm.
•A new neutron EDM experiment uses ultracold neutron produced in superfluid
4He, with 3He as a spin analyzer and a comagnetometer. The dressed spin
technique will be applied to reduce the systematic uncertainty.
•The dressed spin phenomena have been studied over a broad range of dressing
field configuration in UIUC. The observed effects are compared with calculations
based on quantum optics formalism
•The optimal implementation of the dressed spin technique for the neutron EDM
experiment is still ongoing.
49
51. (mG)cB
-0.37 -0.365 -0.36 -0.355 -0.35 -0.345 -0.34 -0.335 -0.33 -0.325 -0.32
Run#
0
2
4
6
8
10
12
cell 1 bd1
Entries 10
Mean -0.3467
RMS 0.003207
/ ndf2
3.906e-14 / 0
Prob 0
p0 2.586±6.376
p1 0.0011±-0.3464
p2 0.000903±0.003172
cell 1
(mG)cB
-0.37 -0.365 -0.36 -0.355 -0.35 -0.345 -0.34 -0.335 -0.33 -0.325 -0.32
Run#
0
2
4
6
8
10
12
cell 1 bd1
Entries 10
Mean -0.3514
RMS 0.00253
/ ndf2
1.939e-15 / 0
Prob 0
p0 2.585±6.376
p1 0.0011±-0.3514
p2 0.000903±0.003172
cell 1
Monte Carlo for the feedback loop
•Apply an electric field in different direction for different runs. Assume ωe=100µHz.
•The correction field Bc = Bd,fit-Bd,0 for Run1-10 is -0.3467mG and for Run 11-20 is
-03514mG, which include both the offset and the EDM effective field. Thus ΔBc =0.0047
mG.
•Use the relation between the correction field and the EDM effective field:
Run 1-10
ωe=100µHz
Run 11-20
ωe=-100µHz
∆ωγ = ω0[J0(xc + ∆x) − γ3/γnJ0(γ3/γn(xc + ∆x))]
= 0.156077ωn∆x = 0.156077ωn
γnBc
ωd
= −0.0286007Bc = ωeJ0(xc)
ωe = −0.0422713Bc
Δωe =198.675µHz
51
52. (mG)cB
-0.37 -0.365 -0.36 -0.355 -0.35 -0.345 -0.34 -0.335 -0.33 -0.325 -0.32
Run#
0
2
4
6
8
10
12
cell 1 bd1
Entries 10
Mean -0.3467
RMS 0.003207
/ ndf2
3.906e-14 / 0
Prob 0
p0 2.586±6.376
p1 0.0011±-0.3464
p2 0.000903±0.003172
cell 1
(mG)cB
-0.37 -0.365 -0.36 -0.355 -0.35 -0.345 -0.34 -0.335 -0.33 -0.325 -0.32
Run#
0
2
4
6
8
10
12
cell 1 bd1
Entries 10
Mean -0.3514
RMS 0.00253
/ ndf2
1.939e-15 / 0
Prob 0
p0 2.585±6.376
p1 0.0011±-0.3514
p2 0.000903±0.003172
cell 1
Sensitivity of the feedback method
•The RMS for 20 runs is 0.0028884 mG.
•Thus, the sensitivity for the EDM is σfe = 19.4323µHz.
•Comparing with the case without the dressing field which is around 2.7µHz, the feedback
method still needs optimization(x and y, modulation parameters, feedback
parameters,etc.).
Run 1-10
ωe=100µHz
Run 11-20
ωe=-100µHz
52
53. t(Sec)
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
(t)1-cos
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
0.09
•The scintillation light rate is
•The counts in the first half and the second half of a modulation cycle should be identical
at the critical dressing.
•The difference in the counts will be the input to the feedback.
Modulation signal
The distribution
function = (dφ/dt)/N0
depends on 1-cosθn3.
one modulation
First half Second half
dφ(t)
dt
= N0e−Γtott
[
1
τβ
+
1
τ3
(1 − P3Pn cos(θn3))]
53
54. Time (sec)
0 100 200 300 400 500
Event#
300
400
500
600
700
800
900
1000
run 0 : cell 1run 0 : cell 1
Monte Carlo for the feedback loop
•Example of the simulation for the scintillation events with modulation/
feedback scheme.
•many parameters remain to be optimized
54
55. 0.6
0.8
1
1.2
1.4
1.6
1.8
2
2.2
2.4
0 0.5 1 1.5 2 2.5 3 3.5 4
eff
/0
y = B0/ d
0
1
2
3
4
5
6
0 0.5 1 1.5 2 2.5 3 3.5 4
xc
y = B0/ d
-0.6
-0.4
-0.2
0
0.2
0.4
0.6
0.8
1
1.2
0 2 4 6 8 10
eff
/0
X = Bd/ d
Y=0.0
Y=0.9
0.8
1
1.2
1.4
1.6
1.8
2
2.2
2.4
0 2 4 6 8 10
eff
/0
X = Bd/ d
Y=1.1
Y=3.5
Critical dressing for other y’s(lower dressing frequencies)
•Other choices for the critical dressing. Consider the possibility once we realize
the dressed spin technique. It may help to the design of the dressing coils so that
we don’t need to run at the high dressing frequency condition.55
56. t(Sec)
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
-1.5
-1
-0.5
0
0.5
1
1.5
(t)
(t)m
•At the critical dressing, no signal from the
3He capture. Add a modulation.
•The relative precession frequency
between neutron and 3He at the critical
dressing is
•Apply a cos square modulation onto the
dressing field such as
•The relative precession frequency
becomes
•The maximum relative angle becomes
•The result can be also simulated by using
Bloch equation.
ωγ = ω0[J0(xc) − aJ0(a(xc))] = 0
Bd(t) = [Bd,c + BmSign(cos(ωmt))] cos ωdt
x = xc ± xm
ω±
γ = ω0[J0(xc ± xm) − aJ0(a(xc ± xm))]
θmax
Apply a modulation
ω+
γ
ω−
γ
56
UCN
3He
θ±
max = ω±
γ τm/4
θmax
+ θmax
-
57. t(Sec)
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
(t)1-cos
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
0.09
•The scintillation light is
•The total light in the first half and the
second half modulation should be
identical at the critical dressing.
•The difference of the light in two periods
will be the input of the feedback loop.
•The difference may come from the offset
of the dressing field or the EDM
effective field.
•The correction field can compensate the
offset or the EDM effective field. Thus, the
EDM can be obtained from the correction
field in different runs.
Apply the feedback loop
The distribution function = (dφ/dt)/N0 depends
on 1-cosθn3.
one modulation
First half Second half
dφ(t)
dt
= N0e−Γtott
[
1
τβ
+
1
τ3
(1 − P3Pn cos(θn3))]
57
58. Simulation of modulation/feedback
58
Time (sec)
0 50 100 150 200 250 300 350 400 450 500
dB
1188
1188.2
1188.4
1188.6
1188.8
1189
1189.2
1189.4
1189.6
1189.8
1190
run 0 : bd
= 0.01= 0.001,
= 0.02= 0.001,
= 0.03= 0.001,
= 0.04= 0.001,
run 0 : bd
Time (sec)
0 50 100 150 200 250 300 350 400 450 500
n3
cos
0.995
0.996
0.997
0.998
0.999
1
1.001
run 0 : cell 1
= 0.01= 0.001,
= 0.02= 0.001,
= 0.03= 0.001,
= 0.04= 0.001,
run 0 : cell 1
•One example without fluctuation with different α and β. Set x=1.189, Bm/Bd = 0.05
and fm=1 Hz.
•Cosθn3 can be tuned to be a constant.
•The system can be tuned to be the critical dressing.
•The feedback can be only applied in a single measurement cell in the SNS
experiment(since both two cells share the same dressing coils).
59. Monte Carlo for the feedback loop
59
Time (sec)
0 50 100 150 200 250 300 350 400 450 500
dB
1180
1182
1184
1186
1188
1190
1192
1194
1196
1198
1200
run 0 : bd
= 0.01= 0.001,
= 0.02= 0.001,
= 0.03= 0.001,
= 0.04= 0.001,
run 0 : bd
Time (sec)
0 50 100 150 200 250 300 350 400 450 500
n3
cos
0.98
0.985
0.99
0.995
1
1.005
1.01
run 0 : cell 1
= 0.01= 0.001,
= 0.02= 0.001,
= 0.03= 0.001,
= 0.04= 0.001,
run 0 : cell 1
•One example with fluctuation with different α and β. Set x=1.189, Bm/Bd = 0.05 and
fm=1 sec.
•Cosθn3 is (roughly) kept at a constant.
•Fit the dressing field within the final range. We use the time window t=100-500
sec.
•Relate the EDM effective field to Bd, fit.
60. Simulation for the feedback loop
60
Time (sec)
0 100 200 300 400 500
dB
1188.5
1188.6
1188.7
1188.8
1188.9
1189
run 0 : bdrun 0 : bd
Time (sec)
0 100 200 300 400 500 600 700 800 900 1000
n3
Cos
0.9
0.92
0.94
0.96
0.98
1
run 0 : cell 1run 0 : cell 1
•One example without fluctuation with α=0.001 and β=0.01. Set x=1.189, Bd = 1189
mG, Bm/Bd = 0.05 and fm=1 Hz.
•Cosθn3 can be tuned to be a constant.
•The system can be tuned to be the critical dressing.
•The feedback can be only applied in a single measurement cell in the SNS
experiment(since both two cells share the same dressing coils).
61. Monte Carlo for the feedback loop
61
•One example with fluctuation with different α and β. Set x=1.189, Bm/Bd = 0.05 and
fm=1 sec.
•Cosθn3 is (roughly) kept at a constant.
•Fit the dressing field within the final range. We use the time window t=100-500
sec.
•Relate the EDM effective field to Bd, fit.
Time (sec)
0 100 200 300 400 500
dB
1187.5
1188
1188.5
1189
1189.5
run 0 : bdrun 0 : bd
Time (sec)
0 100 200 300 400 500 600 700 800 900 1000
n3
Cos
0.9
0.92
0.94
0.96
0.98
1
run 0 : cell 1run 0 : cell 1
62. 62
Simulation of the dressed spin
•The simulation result is consistent with the analytic solution.
•The simulation can be applied in any magnetic fields and spin dynamics. It
will be used for the feedback loop study (proposed by Golub and
Lamoreaux in 1994).
•It can be also used for
•Optimization of π/2 pulse for both neutron and 3He,
•the systematic effect of the pseudomagnetic field, and
•the systematic effect of the initial polarization and the relative angle.
•Together with Monte Carlo, we have a tool to study the statistic error
and systematic error of the dressed spin technique.
72. Approach of the feedback method
•The feedback method is under investigation. Several factors should be considered.
•The modulation amplitude and period cannot be too short since there will not be
enough events for the feedback loop.
•The modulation amplitude cannot be too large since the Bessel function is not
symmetric at the critical point if the modulation is too large.
•The modulation period cannot be too long either since the decay effect will be
involved and there is no enough time to correct the dressing field.
•One dominate factor is the decay which can affect the sensitivity a factor of 5 from
the Monte Carlo study.
•Correction factors for α and β are necessary to compensate the decay effect.
•The feedback method can only be applied to a single cell since two cells have the
same dressing coils.
•Although the feedback loop can self-correct, different kinds of systematic error,
including the pseudomagnetic field, the polarization of neutron and 3He, the
neutron and 3He density,etc., should be studied.
72
73. Summary
•The dressed spin measurement is consistent with the prediction. We can apply the
theory to estimate the critical dressing at different magnetic field setups.
•It may help to the design of the dressing coils since we may not need to run at the
high dressing frequency condition.
•It will be of interest to extend the measurement to higher x range.
•The Bloch equation simulation can simulate the spin dynamics in any magnetic
fields. It can be used in many subjects of the nEDM, like the π/2 optimization, the
pseudomagnetic field.
•The Monte Carlo study can help to study the statistic sensitivity of the feedback
loop. It will be done in months.
73
74. Pseudomagnetic field
•The pseudomagnetic moment, which is originated from the real part of n-3He
scattering length (spin-dependent), like magnetic dipole moment, can produce the
pseudomagnetic field, along the 3He spin direction.
•Ref : Nuclear Magnetism:order and disorder, A. Abragam and M. Goldman and
Physics Report(1994)
•Ba is around 1000 times larger than the 3He magnetization.
•Ba is proportional to P3, which is time dependent.
74
75. π/2 Pulse
•Apply a linear oscillatory RF magnetic field along the x-axis.
•The frequency is expected at the Larmor frequencies of neutron (ωn).
•In the rotating frame, only a constant B1 along the x-axis and another high frequency field.
Ignore the high frequency term. The constant B1 field can rotate the spin from the z-axis to the
x-y plane within a period of time.
75
B0In lab frame,
2B1cosωnt
BRF (t) = 2B1 cos ωntˆx = B1(cos(ωnt)ˆx − sin(ωnt)ˆy) + B1(cos(ωnt)ˆx + sin(ωnt)ˆy)
In rotating frame,
B1
76. •Table-size experiment using
separated oscillatory field.
•PR.108,120(1957):
dn5 x 10-20 e cm
76
RF off on off on
neutron spin is
parallel to
holding field
first π/2 pulse
is applied; spin
is rotated to be
perpendicular
to holding field
neutrons
precess during
storage time
second π/2
pulse is
applied; spin is
rotated to be
anti-parallel to
holding field
PR.78,696(1950)
Purcell and Ramsey’s Experiment
B0In lab frame,
2B1cosω0t
In rotating
frame,
B1
Spin
Spin
77. Pseudomagnetic field
•The pseudomagnetic moment, which is originated from the real part of n-3He scattering length
(spin-dependent), like magnetic dipole moment, can produce the pseudomagnetic field, along
the 3He spin direction.
•Ref : Nuclear Magnetism:order and disorder, A. Abragam and M. Goldman and Physics
Report(1994)
•Ba is around 1000 times larger than the 3He magnetization.
•Ba is proportional to P3, which is time dependent. The pseudomagnetic field is along the spin
direction of 3He. In the 3He Larmor frequency rotating frame, the magnetic field is
77
Ba
Sn
neutronSn
S3
B0In lab frame, In 3He rotating
frame,
q
Bz Btot
78. 78
Dressing field plus pseudomagnetic field
•At the critical dressing(g’3=g’n ), the constant field becomes very small in the rotating frame.
•The neutrons spin direction will be confined in a small cone around the 3He spin direction.
•The EDM signal will be reduced by the pseudomagnetic field.
•Modulation and feedback of the dressing field are proposed to overcome this problem
(discussed in the Physics Report).
Bz
Ba
Btot
Sn
neutron
In 3He rotating
frame,
80. 1. The initial value of Bd is Bd,0.
2. For given Bd,i, use the Bloch equation to calculate cos θn3 within the time
window t = [ti, ti + τm], corresponding to one modulation cycle.
3. Insert cos θn3 into the distribution function, dΦ
dt .
4. Calculate:
Φ+,i =
ti+τm/2
ti
dΦ
dt
dt,
Φ−,i =
ti+τm
ti+τm/2
dΦ
dt
dt,
5. Generate Monte Carlo N+,i = Poisson(Φ+,i) and N−,i = Poisson(Φ−,i)
6. Calculate ∆Ni = N+,i − N−,i.
7. Run the feedback loop process and obtain the modified dressing field.
• Low Pass Integrator: Bc,0,α = Bd,0, Bc,i,α = Bc,i−1,α − α∆Ni.
• Amplifier: Bc,i,β = −β × ∆Ni.
• Modified field: Bd,i+1 = Bc,i,α + Bc,i,β.
8. Go to 2 and repeat the loop.
Generate Monte Carlo for the feedback loop
α,β are feedback parameters.
80
81. 1e-32
1e-30
1e-28
1e-26
1e-24
1e-22
1e-20
1e-18
1e-16
1950 1960 1970 1980 1990 2000 2010
nEDMExperimentLimit[ecm]
Year
Neutron Scat.
In-Flight Mag. Res.
UCN Mag. Res.
Super symmetry
Standard Model
ILL
K0
History of neutron EDM search
•Current neutron EDM upper limit: 2.9 x 10-26 e cm (90% C.L.)
•Still no evidence for neutron EDM.
require new ideas/techniques
81
Goal of next generation of
nEDM experiments
82. Spin
mirror
• Electric dipole moment (EDM) is the first moment of the charge distribution (ρ).
• Dirac’s magnetic monopole can generate an EDM (1948).
• The EDM (vector) is parallel to the Spin (axial vector) direction.
• EDM is Parity-odd but spin is Parity-even.
Parity Operator+- -
Neutron electric dipole moment (Early history)
82
Dirac
dn =
dx3
ρx = dn
ˆS
86. 560 ± 160 UCNs trapped per cycle (observed)
480 ± 100 UCNs trapped per cycle (predicted)
Magnetic Trapping of UCN at NIST
(Nature 403 (2000) 62)
UCN Production in superfluid 4He
The experiment helps to approve the neutron EDM proposal.
86
87. 87
• Consider a diatomic polar molecule. The only possible orientation of the EDM is
along the molecular axis, but the rotation (spin) is directed perpendicular to the
axis.
• For polyatomic molecules (like NH3), the +k and –k (k is the spin projection) are
degenerate states with opposite sign of EDM. The superposition of these two
states would give zero EDM.
Why permanent EDMs exist without violating P and T?
HN
H
H
H H H
NEDM
EDM
Spin Spin
N
H
H
H
88. 88
One and two-loop contributions
are zero. Three-loop contribution
is ~10-34 e•cm
(hep-ph/0008248)
dn ~ 10-32 e•cm
Electroweak Process
a) Contributions from single quark’s EDM: b) Contributions from diquark interactions:
89. 89
dn 10 -25 e•cm → |θ| 3 x 10 -10
Strong Interaction
• Θ term in the QCD Lagrangian :
•Θ term’s contribution to the neutron EDM :
•Spontaneously broken Pecci-Quinn symmetry? No evidence of a pseudoscalar axion!
90. CP Violation
CP Violation
Particle
EDM
Hadron
EDM
Nuclear
EDM
Atomic/
Molecular
EDM
EDM
Observable
Q
dlepton
chromo
dquark
quark
d MQM
dion
Schiff
eeqq eeNN
NNNN
dnnd
ddia
parad
µd
iond
parad
dn
dia
d
qqqq
GGG
~
GG
~
Maskawa
Kobayashi
Cabbibo
chargedsystemsneutralsystems
Higgs
Technicolor
Super
Symmetry
Left Right
Symmetry
Strong
Model for
Physics beyond SM
•There are many new CP sources generating observable EDMs.
•Observed EDMs are a combination of different CP-violating sources.
•To explain the strong CP violation or the new CP sources, it is needed to check the
relation between different systems.
90
91. 50 100 150 200 250 300 350 400 450 500
M1
[GeV]
100
150
200
250
300
350
400
450
500
µ[GeV]
Correct baryon asymmetry
Excluded by LEP
Excluded by eEDM
Reach of LHC
dn
=4x10
-27
ecm
dn
=6x10
-27
ecm
10
-26e
cm
One example of minimum supersymmetry model
•LHC can only test one branch of parameter phase space of MSSM for the correct
baryon asymmetry.
•Neutron EDM can be applied to exam the other region of the phase space.
91
92. •UCN was extracted from the low-energy
tail of the Maxwell-Boltzmann distribution
of cold neutrons(~5 UCN/cm3).
•A new method suggested by Golub and
Pendlebury. Cold neutron with
momentum of 0.7 A-1 (10-3 eV) can excite
a phonon in 4He and become an UCN
via down-scattering process.
=100 times larger UCN density than
conventional UCN sources Down-scattering process
Cohen and Feynman PR.107,13(1957)
Superthermal Method--UCN production in superfluid 4He
92
93. 93
0
10000
20000
30000
40000
-6.00 -4.50 -3.00 -1.50 0 1.50 3.00 4.50 6.00
Beam FWHM = 0.26 cm
n-3HeNormalizedCounts
Position (cm)
Neutron Beam
Position
4He
Target
Cell
3He
Preliminary
T = 330 mK
Dilution Refrigerator at
LANSCE Flight Path 11a
Phys. Rev. Lett. 93, 105302 (2004)
3He Distributions in Superfluid 4He
•The experiment shows neutrons distribute uniformly in the superfluid 4He. The result
confirms the availability of 3He as a comagnetometer.
94. 94
200nev(typical wall potential)
θ is neutron’s scattering angle
For 1 mev neutron beam, σ(UCN)/σ(tot) ~
10-3 for 200 nev wall potential
Production of UCN in superfluid 4He
Q = ki − kf ,
2
k2
i
2m
=
2
k2
f
2m
+ E(Q),
E(Q) is the phonon dispersion relation
Mono-energetic cold neutron beam with ΔKi/Ki ~ 2%
95. 95
1 K cold head
Injection nozzle
Polarizer
quadrupole
Spin flip region
Analyzer
quadrupole
3He RGA
detector
Polarized 3He Atomic Beam Source
•Produce polarized 3He with 99.5% polarization at a flux of 2×1014/sec and a mean
velocity of 100 m/sec
96. 96
1 K cold head
Injection nozzle
Polarizer
quadrupole
Spin flip region
Analyzer
quadrupole
3He Residual
Gas Analysis
(RGA)
detector
Los Alamos Polarized 3He Source
•3He Spin dressing experiment
Ramsey coils
Dressing fields
Polarizer RGA
36 inch
Analyzer
98. 98
26.0
26.5
27.0
27.5
28.0
0 2.000 4.000 6.000 8.000
3He Larmor Frequency
3HeLarmorFrequency[kHz]
Dressing Coil Current [A]
Esler, Peng, Lamoreaux, et al. Nucl-ex/0703029 (2007)
Experiment result
99. 99
3He relaxation test
•T1 3000 seconds in 1.9K superfluid 4He
•Acrylic cell coated with dTPB
•H. Gao, R. McKeown, et al, arXiv:Physics/0603176
•Test has also been done at 600 mK at UIUC
100. High voltage test
•Goal is 50 kV/cm
•200 liter LHe. Voltage is amplified with a variable capacitor
•90 kV/cm is reached for normal state helium. 30 kV/cm is reached
below the λ-point
•J. Long et al., arXiv:physics/0603231
100
101. Heat flash
•The helium extracted from gas
contains 3He/4He = 10-7.
•The heat flash technique can purify
the helium to 3He/4He = 10-12.
•3He atoms in He II form part of the
normal fluid component and tend to
move to colder end of the apparatus.
•The normal fluid component, flowing
away from the heater, will tend to
carry with any 3He atoms and to
prevent others from entering.
•The isotopically pure superfluid
component can be drawn off in the
opposite direction.
heater
flushing tube
superleak
101
102. • The false EDM can arise from geometric phases.
• The effect between vxE and a vertical gradient in
the magnetic field.
• Gives a radial field
• The radial field as well as to the sideways vxE
component, yielding a diagonal resultant.
• The net effect that the additional effective field
continues to rotate in the same direction.
• The shift in frequency is proportional to E,
mimicking an EDM signal.
Geometric phase
Br = −
r
2
·
∂B
∂z
103. E. Beise, H. Breuer
University of Maryland, College Park, MD 20742, USA
K. Dow, D. Hasell, E. Ihloff, J. Kelsey, R. Milner, R. Redwine, J. Seele, E.
Tsentalovich, C. Vidal
Massachusetts Institute of Technology, Cambridge, MA 02139, USA
D. Dutta
Mississippi State University, Starkville, MS 39762, USA
R. Golub, C. Gould, D. Haase, A. Hawari, P. Huffman, D. Kendellen,
E. Korobkina, C. Swank, A. Young
North Carolina State University, Raleigh, NC 27695, USA
R. Allen, V. Cianciolo, P. Mueller, S. Penttila, W. Yao,
Oak Ridge National Laboratory, Oak Ridge, TN 3 7831, USA
M. Hayden
Simon-Fraser University, Burnaby, BC, Canada V5A 1S6
G. Greene
The University of Tennessee, Knoxville, TN 37996, USA
Stefan Baeβler
The University of Virginia, Charlottesville, VA 22904, USA
S. Stanislaus
Valparaiso University, Valparaiso, IN 46383 , USA
S. Lamoreaux, D. McKinsey, A. Sushkov
Yale University, New Haven, CT 06520, USA
R. Alarcon, S. Balascuta, L. Baron-Palos
Arizona State University, Tempe, AZ, 85287, USA
D. Budker, A. Park
University of California at Berkeley, Berkeley, CA 94720, USA
G. Seidel
Brown University, Providence, RI 02912, USA
A. Kokarkar, E. Hazen, E. Leggett, V. Logashenko, J. Miller, L.
Roberts
Boston University, Boston, MA 02215, USA
J. Boissevain, R. Carr, B. Filippone, M. Mendenhall,
A. Perez Galvan, R. Schmid
California Institute of Technology, Pasadena, CA 91125, USA
M. Ahmed, M. Busch, P. Cao, H. Gao, X. Qian, G. Swift, Q. Ye,
W.Z. Zheng
Duke University, Durham NC 27708, USA
C.-Y. Liu, J. Long, H.-O. Meyer, M. Snow
Indiana University, Bloomington, IN 47405, USA
L. Bartoszek, D. Beck, P.. Chu, C. Daurer, J.-C. Peng, S. Williamson,
J. Yoder
University of Illinois, Urbana-Champaign, IL 61801, USA
C. Crawford, T. Gorringe, W. Korsch, E. Martin, S. Malkowski, B.
Plaster, H. Yan
University of Kentucky, Lexington KY 40506, USA
S. Clayton, M. Cooper, M. Espy, C. Griffith, R. Hennings-Yeoman, T.
Ito, M. Makela, A. Matlachov, E. Olivas, J. Ramsey, I. Savukov, W.
Sondheim, S. Stanislaus, S. Tajima, J. Torgerson, P. Volegov
Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Grad students
Engineers
Neutron EDM collabration
103
107. 107
Ex. Type v(m/cm) E (kV/cm) B (Gauss) Coh. Time (s) EDM (e.cm) year
Scattering 2200 1025 -- 10-20 3 x 10-18 1950
Beam Mag. Res. 2050 71.6 150 0.00077 4x 10-20 1957
Beam Mag. Res. 60 140 9 0.014 7 x 10-22 1967
Bragg Reflection 2200 109 -- 10-7 8 x 10-22 1967
Beam Mag. Res. 130 140 9 0.00625 3 x 10-22 1968
Beam Mag. Res. 2200 50 1.5 0.0009 1 x 10-21 1969
Beam Mag. Res. 115 120 17 0.015 5 x 10-23 1969
Beam Mag. Res. 154 120 14 0.012 1 x 10-23 1973
Beam Mag. Res. 154 100 17 0.0125 3 x 10-24 1977
UCN Mag. Res. 6.9 25 0.028 5 1.6 x 10-24 1980
UCN Mag. Res. 6.9 20 0.025 5 6 x 10-25 1981
UCN Mag. Res. 6.9 10 0.01 60-80 8 x 10-25 1984
UCN Mag. Res. 6.9 12-15 0.025 50-55 2.6 x 10-25 1986
UCN Mag. Res. 6.9 16 0.01 70 12 x 10-26 1990
UCN Mag. Res. 6.9 12-15 0.018 70-100 9.7 x 10-26 1992
UCN Mag. Res. 6.9 4.5 0.01 120-150 6.3 x 10-26 1999
History of neutron EDM experimetns
•B = 1mG = 3 Hz neutron precession freq.
•d = 10^-26 e•cm, E = 10 KV/cm = 10^-7 Hz shift in precession freq.
108. nEDM statistical sensitivity
•300 live days over 3 years (due to accelerator/experiment uptime)
•Optimal projected sensitivity (@ 90% CL) : d = 7.8 x 10^-28 e cm
•Width of neutron capture signal given by number of photoelectrons
•Capture light is partially quenched compared to β-decay electrons
•σd depends on σf
σdn =
1.64σf
4E0
√
2
108
β- spectrum
from neutron β-decay
p,t spectrum from
3He(n,p)3H
N
(counts/0.03sec)
109. •Pseudomagnetic field
•Due to spin-dependence of n-3He scattering length – gives frequency shift
as σn•σ3 varies
•Gives frequency noise if π/2 pulse varies
•Precision spin flip needed anyway if we want to fix the phase
•10^-3 reproducibility with both cells 5% different is sufficient for 10^-28 e
cm
•Gravitational effects
•10^-29 e cm if leakage ~ 1 nA for ~ 10 cm cell
•Thermal offsets could give larger effects
•Quadratic vxE effect
• 10-28 e cm if E-field reversal is good to 1%
•Geometric Phase – linear vxE effect
•From Golub, Swank Lamoreaux
•Probably biggest potential systematic issue
nEDM systematic uncertainty
109
(Brad Filippone)
110. •Significantly different effects for neutron vs 3He
•Neutron has ω0 ωL (ωL is cell traversal frequency) and is largely
independent of cell geometry.
•Can use previous analysis of geometric phase
•3He has ω0 ωL and is sensitive to cell geometry
•Depends on diffusion time to walls (geometry temperature)
•False EDM in rectangular geometry: Golub,Swank Lamoreaux
arXiv:0810.5378
•Effect depends on Magnetic Field gradients (B0 along x-direction)
110
(Brad Filippone)
nEDM systematic uncertainty
111. Error Source Systematic
error (e-cm)
Comments
Linear vxE
(geometric phase)
2 x 10-28 Uniformity of B0 field
Quadratic vxE 0.5 x 10-28 E-field reversal to 1%
Pseudomagnetic Field
Effects
1 x 10-28 pi/2 pulse, comparing 2 cells
Gravitational offset 0.1 x 10-28 With 1 nA leakage currents
Leakage currents 1 x 10-28 1 nA
vxE rotational n flow 1 x 10-28 E-field uniformity 0.5%
E-field stability 1 x 10-28 ΔE/E 0.1%
Miscellaneous 1 x 10-28 Other vxE, wall losses
nEDM systematic uncertainty
(Brad Filippone)
112. Once experiment demonstrates that it’s sensitivity is limited by neutron flux (first
phyiscs result) ...
• Could “move“ experiment to cold beam at FNPB (or vice versa)
• Choppers instead of monochromator could increase
8.9 Å flux by ~ 6x (dn 4 x 10-28 e-cm)
• Could “move“ experiment to planned 2nd target station at SNS
• 1 MW, optimized for long wavelength neutrons
• Could increase 8.9 Å flux by 20 (dn 2 x 10-28 e-cm)
CD0 – 1/09
Also NIST or PULSTAR
possible
Possible upgrade paths
(Brad Filippone)
113. Exp UCN source cell
Measurement
techniques
σd
(10-28 e-cm)
ILL
CryoEDM
Superfluid 4He 4He
Ramsey technique for ω
External SQUID magnetometers
Phase1 ~ 50
Phase2 5
PNPI – I LL ILL turbine
PNPI/Solid D2
Vac.
Ramsey technique for ω
E=0 cell for magnetometer
Phase1100
10
ILL Crystal Cold n Beam Crystal Diffraction 100
PSI EDM Solid D2 Vac.
Ramsey technique for ω
External Cs 3He magnetometers
Hg co-mag for P1, Xe for P2?
Phase1 ~ 50
Phase2 ~ 5
SNS EDM Superfluid 4He 4He
3He capture for ω
3He comagnetometer
SQUIDS Dressed spins
~ 8
TRIUMF/JPARC Superfluid 4He Vac. Under Development ?
Active worldwide effort to improve neutron EDM sensitivity
(Brad Filippone)
114. • Comparing sensitivities from different experiments is somewhat
qualitative(depends on many assumptions)
• At present, ILL CryoEDM and PSI-nEDM appear to be the most
competitive with SNS nEDM
• Both ILL-CryoEDM and PSI-nEDM have 2 phases of measurement
with some construction between the data periods
Comparison of worldwide
(Brad Filippone)
115. • Initial data will use original
apparatus from ILL with
magnetic upgrades
• New apparatus being
designed for higher
sensitivity
PSI high flux UCN source
(Brad Filippone)
116. superthermal UCN source
superconducting magnetic shields
Ramsey UCN storage cells
superthermal UCN
source
whole experiment in superfluid He at 0.5 K
• production of UCN
• storage Larmor precession of UCN
• SQUID magnetometry
• detection of UCN
CryoEDM@ILL (Brad Filippone)
117. Exp Status Schedule
Claimed Sensitivity
(e-cm)
ILL
CryoEDM
Phase 1 – underway
Phase 2 – new beamline
2010-12
2012-15
5 x 10-27
5 x 10-28
PNPI-
EDM
PNPI @ ILL
Move to PNPI UCN
2010
?
~ 10-26
10-27
PSI EDM
Initial phase underway
(using old ILL apparatus)
New exp.
2010-13
2015
~ 5 x 10-27
~ 5 x 10-28
SNS EDM Preparing Baseline
2016
2018
Commissioning
~ 8 x 10-28
Ongoing nEDM experiments schedules and sensitivities
(Brad Filippone)
118. • The known systematic effects are part of the experimental design
• Tackling the unknown effects requires unique handles in the experiment
that can be varied
• The significance of a non-zero result requires multiple approaches to
unforeseen systematics
• nEDM @ SNS is unique in its use of a polarized 3He co-magnetometer,
characterization of geometric phase effects via temperature variation, as
well as the dressed spin capability
Other factors
(Brad Filippone)
119. C
R
Y
O
E
D
M
1
C
R
Y
O
E
D
M
2
P
SI
E
D
M
1
P
SI
E
D
M
2
S
N
S
E
D
M
Δω via accumulated phase in n polarization
Δω via light oscillation in 3He capture
Co-magnetometer ?
Superconducting B-shield
Dressed Spin Technique
Horizontal B-field
Multiple EDM cells
Note that red vs green does not necessarily signify good vs bad. But understanding
systematics requires mix of red green.
= included
= not included
Comparison of capabilities
(Brad Filippone)