FIRE-3: Updated Stellar Evolution Models, Yields, & Microphysics and Fitting Functions for Applications in Galaxy Simulations

Kavli Affiliate: Lina Necib | First 5 Authors: Philip F. Hopkins, Andrew Wetzel, Coral Wheeler, Robyn Sanderson, Michael Y. Grudic | Summary: Increasingly, uncertainties in predictions from galaxy formation simulations (at sub-Milky Way masses) are dominated by uncertainties in stellar evolution inputs. In this paper, we present the full set of updates from the FIRE-2 […]


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Predicting the Thermal Sunyaev-Zel’dovich Field using Modular and Equivariant Set-Based Neural Networks

Kavli Affiliate: David N. Spergel | First 5 Authors: Leander Thiele, Miles Cranmer, William Coulton, Shirley Ho, David N. Spergel | Summary: Theoretical uncertainty limits our ability to extract cosmological information from baryonic fields such as the thermal Sunyaev-Zel’dovich (tSZ) effect. Being sourced by the electron pressure field, the tSZ effect depends on baryonic physics […]


Continue.. Predicting the Thermal Sunyaev-Zel’dovich Field using Modular and Equivariant Set-Based Neural Networks

Predicting the Thermal Sunyaev-Zel’dovich Field using Modular and Equivariant Set-Based Neural Networks

Kavli Affiliate: David N. Spergel | First 5 Authors: Leander Thiele, Miles Cranmer, William Coulton, Shirley Ho, David N. Spergel | Summary: Theoretical uncertainty limits our ability to extract cosmological information from baryonic fields such as the thermal Sunyaev-Zel’dovich (tSZ) effect. Being sourced by the electron pressure field, the tSZ effect depends on baryonic physics […]


Continue.. Predicting the Thermal Sunyaev-Zel’dovich Field using Modular and Equivariant Set-Based Neural Networks

BASS XXIV: The BASS DR2 Spectroscopic Line Measurements and AGN Demographics

Kavli Affiliate: Claudio Ricci | First 5 Authors: Kyuseok Oh, Michael J. Koss, Yoshihiro Ueda, Daniel Stern, Claudio Ricci | Summary: We present the second catalog and data release of optical spectral line measurements and AGN demographics of the BAT AGN Spectroscopic Survey, which focuses on the of Swift-BAT hard X-ray detected AGNs. We use […]


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New physics from polarised light of the cosmic microwave background

Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Eiichiro Komatsu, , , , | Summary: Cosmology requires new physics beyond the Standard Model of elementary particles and fields. What is the fundamental physics behind dark matter and dark energy? What generated the initial fluctuations in the early Universe? Polarised light of the cosmic microwave background […]


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New physics from the polarised light of the cosmic microwave background

Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Eiichiro Komatsu, , , , | Summary: Cosmology requires new physics beyond the Standard Model of elementary particles and fields. What is the fundamental physics behind dark matter and dark energy? What generated the initial fluctuations in the early Universe? Polarised light of the cosmic microwave background […]


Continue.. New physics from the polarised light of the cosmic microwave background

New physics from the polarised light of the cosmic microwave background

Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Eiichiro Komatsu, , , , | Summary: Cosmology requires new physics beyond the Standard Model of elementary particles and fields. What is the fundamental physics behind dark matter and dark energy? What generated the initial fluctuations in the early Universe? Polarised light of the cosmic microwave background […]


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Biological error correction codes generate fault-tolerant neural networks

Kavli Affiliate: Max Tegmark | First 5 Authors: Alexander Zlokapa, Andrew K. Tan, John M. Martyn, Max Tegmark, Isaac L. Chuang | Summary: It has been an open question in deep learning if fault-tolerant computation is possible: can arbitrarily reliable computation be achieved using only unreliable neurons? In the mammalian cortex, analog error correction codes […]


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Fault-Tolerant Neural Networks from Biological Error Correction Codes

Kavli Affiliate: Max Tegmark | First 5 Authors: Alexander Zlokapa, Andrew K. Tan, John M. Martyn, Ila R. Fiete, Max Tegmark | Summary: It has been an open question in deep learning if fault-tolerant computation is possible: can arbitrarily reliable computation be achieved using only unreliable neurons? In the grid cells of the mammalian cortex, […]


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On The Design of a Light-weight FPGA Programming Framework for Graph Applications

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Jinyang Guo, Chao Li, , | Summary: FPGA accelerators designed for graph processing are gaining popularity. Domain Specific Language (DSL) frameworks for graph processing can reduce the programming complexity and development cost of algorithm design. However, accelerator-specific development requires certain technical expertise and significant effort […]


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