Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.0K
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.0K
Second-order Op Amp Circuits01:19

Second-order Op Amp Circuits

333
Implementing second-order low-pass filters in audio systems is crucial in refining audio signals by eliminating undesirable high-frequency noise. These filters typically involve second-order op-amp circuits configured as voltage followers, encompassing two nodes with distinct storage elements.
The analysis of such circuits follows a systematic approach, similar to the second-order RLC circuits. In practical scenarios, bulky inductors are rarely employed due to their size and weight. This means...
333
NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

680
When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
680
Active Filters01:25

Active Filters

799
Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
799
First Order Systems01:21

First Order Systems

87
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
87
Mass Analyzers: Common Types01:19

Mass Analyzers: Common Types

582
The quadrupole mass analyzer consists of four cylindrical metal rods arranged in a diamond carrying a DC voltage and a radio-frequency AC voltage. The motion of ions through the quadrupole depends on the field strength, causing only ions of a certain m/z to resonate successfully and strike the detector at a given field strength. Though the transmission rate for these analyzers is high, the exact elemental composition of the sample is not determined because of low resolution; however, they are...
582

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Energy response characterization of current-mode MeV Cherenkov aerogel detectors.

The Review of scientific instruments·2026
Same author

Machine learning-driven image synthesis and analysis applications for inertial confinement fusion (invited).

The Review of scientific instruments·2024
Same author

Relative sensitivity of plastic scintillator: A comparative analysis with 60Co gamma rays, deuterium-deuterium, and deuterium-tritium neutrons.

The Review of scientific instruments·2024
Same author

Machine learning based unfolding of x-ray spectra from filter stack spectrometer data.

The Review of scientific instruments·2024
Same author

A modular, high dynamic range passive neutron dosimeter and imaging diagnostic.

The Review of scientific instruments·2024
Same author

Achievement of Target Gain Larger than Unity in an Inertial Fusion Experiment.

Physical review letters·2024
Same journal

A compact low-power magnetic particle imaging scanner based on a permanent-magnet field-free-line generator with high gradient.

The Review of scientific instruments·2026
Same journal

Achieving ultrahigh resolution with high efficiency: Optical design of the two-dimensional Resonant Inelastic X-ray Scattering (2D-RIXS) spectrometer at NanoTerasu beamline 02U.

The Review of scientific instruments·2026
Same journal

Automated laboratory x-ray diffractometer and fluorescence spectrometer for high-throughput materials characterization.

The Review of scientific instruments·2026
Same journal

Nonlinear Bayesian Doppler tomography for simultaneous reconstruction of flow and temperature.

The Review of scientific instruments·2026
Same journal

A Reflectance-based multimodal wearable photoplethysmography (PPG) sensor.

The Review of scientific instruments·2026
Same journal

Temporal analysis of products-Raman (TAP-Raman): An integrated setup for operando spectroscopy and transient kinetic analysis.

The Review of scientific instruments·2026
See all related articles
  1. Home
  3. Reduced-order Model To Approximate Response Matrices For Filter Stack Spectrometers.
  1. Home
  3. Reduced-order Model To Approximate Response Matrices For Filter Stack Spectrometers.

Related Experiment Video

X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells
00:10

X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells

Published on: August 20, 2019

13.8K

Reduced-order model to approximate response matrices for filter stack spectrometers.

C-S Wong1, S V Luedtke1, D P Broughton1

  • 1Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.

The Review of Scientific Instruments
|August 8, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

A new reduced-order model rapidly calculates response matrices for filter stack spectrometers (FSSs). This enables modular matrix construction for efficient FSS design optimization using machine learning.

More Related Videos

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy
09:57

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy

Published on: July 25, 2022

3.9K
Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
14:58

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

9.6K

Related Experiment Videos

X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells
00:10

X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells

Published on: August 20, 2019

13.8K
Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy
09:57

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy

Published on: July 25, 2022

3.9K
Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
14:58

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

9.6K

Area of Science:

  • Spectroscopy
  • Computational Physics
  • Materials Science

Background:

  • Filter stack spectrometers (FSSs) are crucial for various analytical applications.
  • Accurate response matrices are essential for FSS performance but computationally intensive to generate.
  • Optimizing FSS designs requires rapid evaluation of numerous configurations.

Purpose of the Study:

  • To introduce a reduced-order model (ROM) for accelerated response matrix calculation in FSSs.
  • To enable modular construction of response matrices from pre-computed physics data.
  • To provide a viable forward model for FSS design optimization, especially with machine learning.

Main Methods:

  • Developed a reduced-order modeling approach.
  • Implemented modular response matrix generation using pre-computed photon and electron transport/scattering data.
  • Integrated the ROM as a forward model for design optimization studies.

    • Main Results:

    • The ROM significantly speeds up response matrix computation for FSSs.
    • Modular matrices are suitable for design optimization, not high-fidelity data analysis.
    • The model facilitates rapid sampling and testing of diverse FSS designs.

    Conclusions:

    • The reduced-order model offers an efficient method for FSS response matrix generation.
    • This approach is particularly beneficial for machine learning-driven FSS design optimization.
    • The modularity enhances flexibility in exploring various filter and detector materials.