SlideShare a Scribd company logo
1 of 12
Theory of time-resolved optical conductivity of
superconductors: comparing two methods for its
evaluation
John Revelle, Ankit Kumar, Alexander F. Kemper,
North Carolina State University
The Optical Conductivity
● The optical conductivity 𝛔 is the linear proportionality constant between applied electric field E(t)
and resulting current J(t).
○ Commonly used to study quantum materials driven out of equilibrium.
● For a system in equilibrium we express the conductivity as a ratio in the
frequency domain as
The Pump-Probe Setup
● Pump-probe spectroscopy is used to study systems driven out of
equilibrium. We send in two short pulses:
○ Pump: stronger pulse, used to excite the system, breaking equilibrium
○ Probe: weaker pulse used to measure resulting changes in optical properties
Optical Conductivity out of Equilibrium
● For a system out of equilibrium, calculating
𝛔 is more complicated. We have 3 time
points to consider:
○ Pump time: time at which the pump
arrives, tpump
○ Probe time: time at which the probe
arrives, tprobe
○ Gate time: the time at which the current is
measured, tgate
● For convenience we define tpp = tprobe-
tpump to be the pump-probe separation.
The Dilemma
● Along which time axis should we take
Fourier transform? There are really 2
options: do we consider the relative motion
of the probe time or the gate time?
Traditionally we consider the motion of
gate time, but we consider both cases.
Two Definitions of Conductivity
Method I. Take FT along the tgate axis (we hold
tpp constant):
Method II. Now, we fix tgate and sweep the
probe backwards to obtain
Interpolation Procedure
● We obtained the current as a
function of tgate for several
values of tpp .
○ Note that at this point we
may readily do Method I by
taking FT and holding tpp
constant.
.
Interpolation Procedure
● We then arranged our currents in
(tgate,tpp) plane and interpolated
to obtain better resolution for
taking FT while holding tgate
constant:
○ Less computationally
intensive than generating
more data sets directly.
○ We used Akima spline
interpolation
Comparison of Conductivity Data from Two Methods
Video: Evolution of 𝝈 over Time
Comparison of the Methods
● Experimentally there appears to be a preference towards method 1 (taking FT
with pump-probe separation held fixed) due to its simplicity.
● Method 2 (taking FT with gate time held fixed) is more complex since many
pump-probe data sets must be generated. It is possible to use data generated
for method 1 and do interpolation (we used spline interpolation).
● Method 2 offers an advantage: the system dynamics, which are driven by the
pump, are always in the same state when the current is measured.
● Our results seem to suggest that method 2 offers improved time resolution
over method 1, and there is less smearing overall in calculated quantities in
frequency domain.
Theory of time-resolved optical conductivity: comparing two methods for its evaluation

More Related Content

What's hot

MIRAS: The SMOS Instrument
MIRAS: The SMOS InstrumentMIRAS: The SMOS Instrument
MIRAS: The SMOS Instrument
adrianocamps
 
TH2.L10.4: SMOS L1 ALGORITHMS
TH2.L10.4: SMOS L1 ALGORITHMSTH2.L10.4: SMOS L1 ALGORITHMS
TH2.L10.4: SMOS L1 ALGORITHMS
grssieee
 
Trumbore_pittcon13_v2
Trumbore_pittcon13_v2Trumbore_pittcon13_v2
Trumbore_pittcon13_v2
Ben Trumbore
 
A Testbed for Image Synthesis
A Testbed for Image SynthesisA Testbed for Image Synthesis
A Testbed for Image Synthesis
Ben Trumbore
 

What's hot (20)

MIRAS: The SMOS Instrument
MIRAS: The SMOS InstrumentMIRAS: The SMOS Instrument
MIRAS: The SMOS Instrument
 
MIRAS: the instrument aboard SMOS
MIRAS: the instrument aboard SMOSMIRAS: the instrument aboard SMOS
MIRAS: the instrument aboard SMOS
 
TH2.L10.4: SMOS L1 ALGORITHMS
TH2.L10.4: SMOS L1 ALGORITHMSTH2.L10.4: SMOS L1 ALGORITHMS
TH2.L10.4: SMOS L1 ALGORITHMS
 
B04402016018
B04402016018B04402016018
B04402016018
 
Development of Seakeeping Test and Data Processing System
Development of Seakeeping Test and Data Processing SystemDevelopment of Seakeeping Test and Data Processing System
Development of Seakeeping Test and Data Processing System
 
Towards the identification of the primary particle nature by the radiodetecti...
Towards the identification of the primary particle nature by the radiodetecti...Towards the identification of the primary particle nature by the radiodetecti...
Towards the identification of the primary particle nature by the radiodetecti...
 
Process RTK Data Based On Kalman Filtering Algorithm
Process RTK Data Based On Kalman Filtering AlgorithmProcess RTK Data Based On Kalman Filtering Algorithm
Process RTK Data Based On Kalman Filtering Algorithm
 
vasp-gpu on Balena: Usage and Some Benchmarks
vasp-gpu on Balena: Usage and Some Benchmarksvasp-gpu on Balena: Usage and Some Benchmarks
vasp-gpu on Balena: Usage and Some Benchmarks
 
Balancing Robot Kalman Filter Design – Estimation Theory Project
Balancing Robot Kalman Filter Design – Estimation Theory ProjectBalancing Robot Kalman Filter Design – Estimation Theory Project
Balancing Robot Kalman Filter Design – Estimation Theory Project
 
DEEP LEARNING BASED MULTIPLE REGRESSION TO PREDICT TOTAL COLUMN WATER VAPOR (...
DEEP LEARNING BASED MULTIPLE REGRESSION TO PREDICT TOTAL COLUMN WATER VAPOR (...DEEP LEARNING BASED MULTIPLE REGRESSION TO PREDICT TOTAL COLUMN WATER VAPOR (...
DEEP LEARNING BASED MULTIPLE REGRESSION TO PREDICT TOTAL COLUMN WATER VAPOR (...
 
Phonons & Phonopy: Pro Tips (2014)
Phonons & Phonopy: Pro Tips (2014)Phonons & Phonopy: Pro Tips (2014)
Phonons & Phonopy: Pro Tips (2014)
 
ECG QRS Complex Detector
ECG QRS Complex DetectorECG QRS Complex Detector
ECG QRS Complex Detector
 
Ill-posedness formulation of the emission source localization in the radio- d...
Ill-posedness formulation of the emission source localization in the radio- d...Ill-posedness formulation of the emission source localization in the radio- d...
Ill-posedness formulation of the emission source localization in the radio- d...
 
An Improved Energy Efficiency Algorithm in Wireless Sensor Network Using Quer...
An Improved Energy Efficiency Algorithm in Wireless Sensor Network Using Quer...An Improved Energy Efficiency Algorithm in Wireless Sensor Network Using Quer...
An Improved Energy Efficiency Algorithm in Wireless Sensor Network Using Quer...
 
Trumbore_pittcon13_v2
Trumbore_pittcon13_v2Trumbore_pittcon13_v2
Trumbore_pittcon13_v2
 
A Testbed for Image Synthesis
A Testbed for Image SynthesisA Testbed for Image Synthesis
A Testbed for Image Synthesis
 
[PDF] Mauritius2017 - Testing strong-field gravity with pulsar timing & gravi...
[PDF] Mauritius2017 - Testing strong-field gravity with pulsar timing & gravi...[PDF] Mauritius2017 - Testing strong-field gravity with pulsar timing & gravi...
[PDF] Mauritius2017 - Testing strong-field gravity with pulsar timing & gravi...
 
Gaussian
GaussianGaussian
Gaussian
 
A Simple and Robust Algorithm for the Detection of QRS Complexes
A Simple and Robust Algorithm for the Detection of QRS ComplexesA Simple and Robust Algorithm for the Detection of QRS Complexes
A Simple and Robust Algorithm for the Detection of QRS Complexes
 
Estimation of global solar radiation by using machine learning methods
Estimation of global solar radiation by using machine learning methodsEstimation of global solar radiation by using machine learning methods
Estimation of global solar radiation by using machine learning methods
 

Similar to Theory of time-resolved optical conductivity: comparing two methods for its evaluation

Similar to Theory of time-resolved optical conductivity: comparing two methods for its evaluation (20)

Study of various Data Compression Techniques used in Lossless Compression of ...
Study of various Data Compression Techniques used in Lossless Compression of ...Study of various Data Compression Techniques used in Lossless Compression of ...
Study of various Data Compression Techniques used in Lossless Compression of ...
 
Efficient methods for accurately calculating thermoelectric properties – elec...
Efficient methods for accurately calculating thermoelectric properties – elec...Efficient methods for accurately calculating thermoelectric properties – elec...
Efficient methods for accurately calculating thermoelectric properties – elec...
 
Atc calculation methods by shridhar kulkarni
Atc calculation methods by shridhar kulkarniAtc calculation methods by shridhar kulkarni
Atc calculation methods by shridhar kulkarni
 
NS-CUK Joint Journal Club: Minwoo Choi, Review on "Spatio-Temporal Wind Speed...
NS-CUK Joint Journal Club: Minwoo Choi, Review on "Spatio-Temporal Wind Speed...NS-CUK Joint Journal Club: Minwoo Choi, Review on "Spatio-Temporal Wind Speed...
NS-CUK Joint Journal Club: Minwoo Choi, Review on "Spatio-Temporal Wind Speed...
 
Improved p-q Harmonic Detection Method for Hybrid Active Power Filter
Improved p-q Harmonic Detection Method for Hybrid Active Power Filter  Improved p-q Harmonic Detection Method for Hybrid Active Power Filter
Improved p-q Harmonic Detection Method for Hybrid Active Power Filter
 
Lectures upto block diagram reduction
Lectures upto block diagram reductionLectures upto block diagram reduction
Lectures upto block diagram reduction
 
IEEE APE
IEEE APEIEEE APE
IEEE APE
 
Use of Nanofluids to increase the efficiency of solar panels
Use of Nanofluids to increase the efficiency of solar panelsUse of Nanofluids to increase the efficiency of solar panels
Use of Nanofluids to increase the efficiency of solar panels
 
Digial instrumentation fnal
Digial instrumentation fnalDigial instrumentation fnal
Digial instrumentation fnal
 
International Journal of Engineering Research and Development
International Journal of Engineering Research and DevelopmentInternational Journal of Engineering Research and Development
International Journal of Engineering Research and Development
 
40620130101001
4062013010100140620130101001
40620130101001
 
Part 1
Part 1Part 1
Part 1
 
Hybrid Time-power Switching Protocol of Energy Harvesting Bidirectional Relay...
Hybrid Time-power Switching Protocol of Energy Harvesting Bidirectional Relay...Hybrid Time-power Switching Protocol of Energy Harvesting Bidirectional Relay...
Hybrid Time-power Switching Protocol of Energy Harvesting Bidirectional Relay...
 
Sampling.pptx
Sampling.pptxSampling.pptx
Sampling.pptx
 
30_4-Jacobs
30_4-Jacobs30_4-Jacobs
30_4-Jacobs
 
Digital communication systems unit 1
Digital communication systems unit 1Digital communication systems unit 1
Digital communication systems unit 1
 
2
22
2
 
Tracker_MC_Noise_Summary
Tracker_MC_Noise_SummaryTracker_MC_Noise_Summary
Tracker_MC_Noise_Summary
 
REPORT
REPORTREPORT
REPORT
 
Entropy A Measure of Disorder.ppt
Entropy A Measure of Disorder.pptEntropy A Measure of Disorder.ppt
Entropy A Measure of Disorder.ppt
 

Recently uploaded

Nanoparticles for the Treatment of Alzheimer’s Disease_102718.pptx
Nanoparticles for the Treatment of Alzheimer’s Disease_102718.pptxNanoparticles for the Treatment of Alzheimer’s Disease_102718.pptx
Nanoparticles for the Treatment of Alzheimer’s Disease_102718.pptx
ssusera4ec7b
 
GENETICALLY MODIFIED ORGANISM'S PRESENTATION.ppt
GENETICALLY MODIFIED ORGANISM'S PRESENTATION.pptGENETICALLY MODIFIED ORGANISM'S PRESENTATION.ppt
GENETICALLY MODIFIED ORGANISM'S PRESENTATION.ppt
SyedArifMalki
 

Recently uploaded (20)

Technical english Technical english.pptx
Technical english Technical english.pptxTechnical english Technical english.pptx
Technical english Technical english.pptx
 
Nanoparticles for the Treatment of Alzheimer’s Disease_102718.pptx
Nanoparticles for the Treatment of Alzheimer’s Disease_102718.pptxNanoparticles for the Treatment of Alzheimer’s Disease_102718.pptx
Nanoparticles for the Treatment of Alzheimer’s Disease_102718.pptx
 
Costs to heap leach gold ore tailings in Karamoja region of Uganda
Costs to heap leach gold ore tailings in Karamoja region of UgandaCosts to heap leach gold ore tailings in Karamoja region of Uganda
Costs to heap leach gold ore tailings in Karamoja region of Uganda
 
EU START PROJECT. START-Newsletter_Issue_4.pdf
EU START PROJECT. START-Newsletter_Issue_4.pdfEU START PROJECT. START-Newsletter_Issue_4.pdf
EU START PROJECT. START-Newsletter_Issue_4.pdf
 
Heads-Up Multitasker: CHI 2024 Presentation.pdf
Heads-Up Multitasker: CHI 2024 Presentation.pdfHeads-Up Multitasker: CHI 2024 Presentation.pdf
Heads-Up Multitasker: CHI 2024 Presentation.pdf
 
Taphonomy and Quality of the Fossil Record
Taphonomy and Quality of the  Fossil RecordTaphonomy and Quality of the  Fossil Record
Taphonomy and Quality of the Fossil Record
 
Harry Coumnas Thinks That Human Teleportation is Possible in Quantum Mechanic...
Harry Coumnas Thinks That Human Teleportation is Possible in Quantum Mechanic...Harry Coumnas Thinks That Human Teleportation is Possible in Quantum Mechanic...
Harry Coumnas Thinks That Human Teleportation is Possible in Quantum Mechanic...
 
A Scientific PowerPoint on Albert Einstein
A Scientific PowerPoint on Albert EinsteinA Scientific PowerPoint on Albert Einstein
A Scientific PowerPoint on Albert Einstein
 
Soil and Water Conservation Engineering (SWCE) is a specialized field of stud...
Soil and Water Conservation Engineering (SWCE) is a specialized field of stud...Soil and Water Conservation Engineering (SWCE) is a specialized field of stud...
Soil and Water Conservation Engineering (SWCE) is a specialized field of stud...
 
Classification of Kerogen, Perspective on palynofacies in depositional envi...
Classification of Kerogen,  Perspective on palynofacies in depositional  envi...Classification of Kerogen,  Perspective on palynofacies in depositional  envi...
Classification of Kerogen, Perspective on palynofacies in depositional envi...
 
GENETICALLY MODIFIED ORGANISM'S PRESENTATION.ppt
GENETICALLY MODIFIED ORGANISM'S PRESENTATION.pptGENETICALLY MODIFIED ORGANISM'S PRESENTATION.ppt
GENETICALLY MODIFIED ORGANISM'S PRESENTATION.ppt
 
Factor Causing low production and physiology of mamary Gland
Factor Causing low production and physiology of mamary GlandFactor Causing low production and physiology of mamary Gland
Factor Causing low production and physiology of mamary Gland
 
X-rays from a Central “Exhaust Vent” of the Galactic Center Chimney
X-rays from a Central “Exhaust Vent” of the Galactic Center ChimneyX-rays from a Central “Exhaust Vent” of the Galactic Center Chimney
X-rays from a Central “Exhaust Vent” of the Galactic Center Chimney
 
Adaptive Restore algorithm & importance Monte Carlo
Adaptive Restore algorithm & importance Monte CarloAdaptive Restore algorithm & importance Monte Carlo
Adaptive Restore algorithm & importance Monte Carlo
 
PARENTAL CARE IN FISHES.pptx for 5th sem
PARENTAL CARE IN FISHES.pptx for 5th semPARENTAL CARE IN FISHES.pptx for 5th sem
PARENTAL CARE IN FISHES.pptx for 5th sem
 
GBSN - Microbiology (Unit 4) Concept of Asepsis
GBSN - Microbiology (Unit 4) Concept of AsepsisGBSN - Microbiology (Unit 4) Concept of Asepsis
GBSN - Microbiology (Unit 4) Concept of Asepsis
 
Micropropagation of Madagascar periwinkle (Catharanthus roseus)
Micropropagation of Madagascar periwinkle (Catharanthus roseus)Micropropagation of Madagascar periwinkle (Catharanthus roseus)
Micropropagation of Madagascar periwinkle (Catharanthus roseus)
 
Efficient spin-up of Earth System Models usingsequence acceleration
Efficient spin-up of Earth System Models usingsequence accelerationEfficient spin-up of Earth System Models usingsequence acceleration
Efficient spin-up of Earth System Models usingsequence acceleration
 
PHOTOSYNTHETIC BACTERIA (OXYGENIC AND ANOXYGENIC)
PHOTOSYNTHETIC BACTERIA  (OXYGENIC AND ANOXYGENIC)PHOTOSYNTHETIC BACTERIA  (OXYGENIC AND ANOXYGENIC)
PHOTOSYNTHETIC BACTERIA (OXYGENIC AND ANOXYGENIC)
 
Vital Signs of Animals Presentation By Aftab Ahmed Rahimoon
Vital Signs of Animals Presentation By Aftab Ahmed RahimoonVital Signs of Animals Presentation By Aftab Ahmed Rahimoon
Vital Signs of Animals Presentation By Aftab Ahmed Rahimoon
 

Theory of time-resolved optical conductivity: comparing two methods for its evaluation

  • 1. Theory of time-resolved optical conductivity of superconductors: comparing two methods for its evaluation John Revelle, Ankit Kumar, Alexander F. Kemper, North Carolina State University
  • 2. The Optical Conductivity ● The optical conductivity 𝛔 is the linear proportionality constant between applied electric field E(t) and resulting current J(t). ○ Commonly used to study quantum materials driven out of equilibrium. ● For a system in equilibrium we express the conductivity as a ratio in the frequency domain as
  • 3. The Pump-Probe Setup ● Pump-probe spectroscopy is used to study systems driven out of equilibrium. We send in two short pulses: ○ Pump: stronger pulse, used to excite the system, breaking equilibrium ○ Probe: weaker pulse used to measure resulting changes in optical properties
  • 4. Optical Conductivity out of Equilibrium ● For a system out of equilibrium, calculating 𝛔 is more complicated. We have 3 time points to consider: ○ Pump time: time at which the pump arrives, tpump ○ Probe time: time at which the probe arrives, tprobe ○ Gate time: the time at which the current is measured, tgate ● For convenience we define tpp = tprobe- tpump to be the pump-probe separation.
  • 5. The Dilemma ● Along which time axis should we take Fourier transform? There are really 2 options: do we consider the relative motion of the probe time or the gate time? Traditionally we consider the motion of gate time, but we consider both cases.
  • 6. Two Definitions of Conductivity Method I. Take FT along the tgate axis (we hold tpp constant): Method II. Now, we fix tgate and sweep the probe backwards to obtain
  • 7. Interpolation Procedure ● We obtained the current as a function of tgate for several values of tpp . ○ Note that at this point we may readily do Method I by taking FT and holding tpp constant. .
  • 8. Interpolation Procedure ● We then arranged our currents in (tgate,tpp) plane and interpolated to obtain better resolution for taking FT while holding tgate constant: ○ Less computationally intensive than generating more data sets directly. ○ We used Akima spline interpolation
  • 9. Comparison of Conductivity Data from Two Methods
  • 10. Video: Evolution of 𝝈 over Time
  • 11. Comparison of the Methods ● Experimentally there appears to be a preference towards method 1 (taking FT with pump-probe separation held fixed) due to its simplicity. ● Method 2 (taking FT with gate time held fixed) is more complex since many pump-probe data sets must be generated. It is possible to use data generated for method 1 and do interpolation (we used spline interpolation). ● Method 2 offers an advantage: the system dynamics, which are driven by the pump, are always in the same state when the current is measured. ● Our results seem to suggest that method 2 offers improved time resolution over method 1, and there is less smearing overall in calculated quantities in frequency domain.

Editor's Notes

  1. I WANT TO PUT AN IMAGE HERRE FGJSEFEFESF
  2. Real and imaginary components of the conductivity calculated using both methods. Marked is the frequency 2\Delta = 0.083 eV. There is an offset between each curve to improve visibility.