Research
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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

Trend · papers per month

count% of corpus
0111 · May 202019922001200920172026
5 results for “patchy reionization”
Reconstructing Patchy Reionization with Deep Learningastro-ph.CO

ResUNet-CMB neural network reconstructs CMB effects from noisy data.

problem Reconstructing CMB anisotropies from noisy data.
method Convolutional neural network (ResUNet-CMB) for simultaneous reconstruction of lensing and reionization.
result ResUNet-CMB outperforms quadratic estimators at low noise levels and avoids lensing-induced bias.
neural networksCMB reconstructiongravitational lensingpatchy reionizationcosmic microwave background
2021-01-04abs ↗pdf ↗
Reconstructing Cosmic Polarization Rotation with ResUNet-CMBastro-ph.CO

Paper uses ResUNet-CMB to reconstruct cosmic polarization rotation from CMB data.

problem Reconstructing anisotropic cosmic polarization rotation from CMB data.
method Extended ResUNet-CMB to handle gravitational lensing and patchy reionization.
result ResUNet-CMB outperforms standard quadratic estimator in reconstructing all three effects.
ResUNet-CMBCosmic polarization rotationCMB reconstructionGravitational lensingPatchy reionization
2021-09-20abs ↗pdf ↗
Deep Learning for Primordial BB-mode Extractionastro-ph.CO

Deep learning helps remove secondary BB-mode polarization to detect primordial gravitational waves.

problem Removing secondary BB-mode polarization from CMB data to detect primordial gravitational waves.
method Applied deep learning (ResUNet-CMB) to estimate and remove multiple sources of secondary BB-mode polarization.
result Deep learning can produce nearly optimal, unbiased estimates of the amplitude of primordial gravitational waves.
deep learninggravitational wavesCMBprimordialB-mode
2025-12-22abs ↗pdf ↗
Fully probabilistic quasar continua predictions near Lyman-α with conditional neural spline flowsastro-ph.CO

New method predicts quasar continuum near Lyman-α with high precision and accuracy.

problem Precise measurement of quasar red damping wing for epoch of reionization.
method Fully probabilistic approach using conditional neural spline flows.
result Achieved state-of-the-art precision and accuracy in predicting quasar continua.
quasar continuareionizationneutral hydrogenconditional neural spline flowsred damping wing
2020-05-31abs ↗pdf ↗
21cmEMU: an emulator of 21cmFAST summary observablesastro-ph.CO

21cmEMU speeds up EoR simulations by 10^4x, predicting key observables with sub-percent accuracy.

problem Efficiently simulating and inferring Epoch of Reionization properties from limited computational resources.
method Developed an emulator for 21cmFAST simulation outputs, reducing computational cost by 10^4x.
result Sub-percent accurate predictions of 6 key observables from EoR simulations.
Epoch of Reionization21cmFASTemulatorcomputational efficiencygalaxy properties
2023-09-11abs ↗pdf ↗