All Outputs (432)

Completely quantum neural networks (2022)
Journal Article
Abel, S., Criado, J. C., & Spannowsky, M. (2022). Completely quantum neural networks. Physical Review A, 106(2), Article 022601. https://doi.org/10.1103/physreva.106.022601

Artificial neural networks are at the heart of modern deep learning algorithms. We describe how to embed and train a general neural network in a quantum annealer without introducing any classical element in training. To implement the network on a sta... Read More about Completely quantum neural networks.

Fingerprints of modified gravity on galaxies in voids (2022)
Journal Article
Cataldi, P., Pedrosa, S., Padilla, N., Landau, S., Arnold, C., & Li, B. (2022). Fingerprints of modified gravity on galaxies in voids. Monthly Notices of the Royal Astronomical Society, 515(4), 5358-5374. https://doi.org/10.1093/mnras/stac2122

We search for detectable signatures of f(R) gravity and its chameleon screening mechanism in the baryonic and dark matter (DM) properties of simulated void galaxies. The enhancement of the gravitational acceleration can have a meaningful impact on th... Read More about Fingerprints of modified gravity on galaxies in voids.

10 Yr Transformation of the Obscuring Wind in NGC 5548 (2022)
Journal Article
Mehdipour, M., Kriss, G. A., Costantini, E., Gu, L., Kaastra, J. S., Landt, H., & Mao, J. (2022). 10 Yr Transformation of the Obscuring Wind in NGC 5548. Astrophysical Journal Letters, 934(2), https://doi.org/10.3847/2041-8213/ac822f

A decade ago, the archetypal Seyfert-1 galaxy NGC 5548 was discovered to have undergone major spectral changes. The soft X-ray flux had dropped by a factor of 30 while new broad and blueshifted UV absorption lines appeared. This was explained by the... Read More about 10 Yr Transformation of the Obscuring Wind in NGC 5548.

Density inversion method for local basis sets without potential auxiliary functions: inverting densities from RDMFT (2022)
Journal Article
Bousiadi, S., Gidopoulos, N. I., & Lathiotakis, N. N. (2022). Density inversion method for local basis sets without potential auxiliary functions: inverting densities from RDMFT. Physical Chemistry Chemical Physics, 24(32), 19279-19286. https://doi.org/10.1039/d2cp01866g

A density inversion method is presented, to obtain the constrained, optimal, local potential that has a prescribed asymptotic behaviour and reproduces optimally any given ground-state electronic density. This work builds upon the method of [Callow et... Read More about Density inversion method for local basis sets without potential auxiliary functions: inverting densities from RDMFT.

Next-to-leading power endpoint factorization and resummation for off-diagonal “gluon” thrust (2022)
Journal Article
Beneke, M., Garny, M., Jaskiewicz, S., Strohm, J., Szafron, R., Vernazza, L., & Wang, J. (2022). Next-to-leading power endpoint factorization and resummation for off-diagonal “gluon” thrust. Journal of High Energy Physics, 2022(7), Article 144. https://doi.org/10.1007/jhep07%282022%29144

The lack of convergence of the convolution integrals appearing in next-to-leading-power (NLP) factorization theorems prevents the applications of existing methods to resum power-suppressed large logarithmic corrections in collider physics. We conside... Read More about Next-to-leading power endpoint factorization and resummation for off-diagonal “gluon” thrust.

Laplace Transform Fitting as a Tool To Uncover Distributions of Reverse Intersystem Crossing Rates in TADF Systems (2022)
Journal Article
Kelly, D., Gomes Franca, L., Stavrou, K., Danos, A., & Monkman, A. P. (2022). Laplace Transform Fitting as a Tool To Uncover Distributions of Reverse Intersystem Crossing Rates in TADF Systems. Journal of Physical Chemistry Letters, 13(30), 6981-6986. https://doi.org/10.1021/acs.jpclett.2c01864

Donor–acceptor (D–A) thermally activated delayed fluorescence (TADF) molecules are exquisitely sensitive to D–A dihedral angle. Although commonly simplified to an average value, these D–A angles nonetheless exist as distributions across the individua... Read More about Laplace Transform Fitting as a Tool To Uncover Distributions of Reverse Intersystem Crossing Rates in TADF Systems.

The Black Hole Mass Function across Cosmic Time. II. Heavy Seeds and (Super)Massive Black Holes (2022)
Journal Article
Sicilia, A., Lapi, A., Boco, L., Shankar, F., Alexander, D. M., Allevato, V., …Danese, L. (2022). The Black Hole Mass Function across Cosmic Time. II. Heavy Seeds and (Super)Massive Black Holes. Astrophysical Journal, 934(1), https://doi.org/10.3847/1538-4357/ac7873

This is the second paper in a series aimed at modeling the black hole (BH) mass function from the stellar to the (super)massive regime. In the present work, we focus on (super)massive BHs and provide an ab initio computation of their mass function ac... Read More about The Black Hole Mass Function across Cosmic Time. II. Heavy Seeds and (Super)Massive Black Holes.

The variability behavior of NGC 925 ULX-3 (2022)
Journal Article
Earnshaw, H. P., Brightman, M., Harrison, F. A., Heida, M., Jaodand, A., Middleton, M. J., …Walton, D. J. (2022). The variability behavior of NGC 925 ULX-3. Astrophysical Journal, 934(1), Article 42. https://doi.org/10.3847/1538-4357/ac79b0

We report the results of a 2019-2021 monitoring campaign with Swift and associated target-of-opportunity observations with XMM-Newton and NuSTAR, examining the spectral and timing behavior of the highly variable ultraluminous X-ray source (ULX) NGC 9... Read More about The variability behavior of NGC 925 ULX-3.

Connecting radio emission to AGN wind properties with Broad Absorption Line Quasars (2022)
Journal Article
Petley, J., Morabito, L., Alexander, D., Rankine, A., Fawcett, V., Rosario, D., …Drabent, A. (2022). Connecting radio emission to AGN wind properties with Broad Absorption Line Quasars. Monthly Notices of the Royal Astronomical Society, 515(4), 5159-5174. https://doi.org/10.1093/mnras/stac2067

Broad Absorption Line Quasars (BALQSOs) show strong signatures of powerful outflows, with the potential to alter the cosmic history of their host galaxies. These signatures are only seen in ∼10% of optically selected quasars, although the fraction si... Read More about Connecting radio emission to AGN wind properties with Broad Absorption Line Quasars.

Modernizing quantum annealing II: genetic algorithms with the inference primitive formalism (2022)
Journal Article
Chancellor, N. (2023). Modernizing quantum annealing II: genetic algorithms with the inference primitive formalism. Natural Computing, 22, 737–752. https://doi.org/10.1007/s11047-022-09905-2

Quantum annealing, a method of computing where optimization and machine learning problems are mapped to physically implemented energy landscapes subject to quantum fluctuations, allows for these fluctuations to be used to assist in finding the soluti... Read More about Modernizing quantum annealing II: genetic algorithms with the inference primitive formalism.

Practical jet flavour through NNLO (2022)
Journal Article
Caletti, S., Larkoski, A. J., Marzani, S., & Reichelt, D. (2022). Practical jet flavour through NNLO. The European Physical Journal C, 82(7), Article 632. https://doi.org/10.1140/epjc/s10052-022-10568-7

An infrared and collinear (IRC) safe definition of the partonic flavour of a jet is vital for precision predictions of quantum chromodynamics at colliders. Jet flavour definitions have been presented in the literature, but they are typically defined... Read More about Practical jet flavour through NNLO.

Satellite mass functions and the faint end of the galaxy mass–halo mass relation in LCDM (2022)
Journal Article
Santos-Santos, I. M., Sales, L. V., Fattahi, A., & Navarro, J. F. (2022). Satellite mass functions and the faint end of the galaxy mass–halo mass relation in LCDM. Monthly Notices of the Royal Astronomical Society, 515(3), 3685-3697. https://doi.org/10.1093/mnras/stac2057

The abundance of the faintest galaxies provides insight into the nature of dark matter and the process of dwarf galaxy formation. In the LCDM scenario, low-mass haloes are so numerous that the efficiency of dwarf formation must decline sharply with d... Read More about Satellite mass functions and the faint end of the galaxy mass–halo mass relation in LCDM.

Tuning spin wave modes in yttrium iron garnet films with stray fields (2022)
Journal Article
Chaudhuri, U., Singh, N., Mahendiran, R., & Adeyeye, A. O. (2022). Tuning spin wave modes in yttrium iron garnet films with stray fields. Nanoscale, 14(33), 12022 - 12029. https://doi.org/10.1039/d2nr00618a

The nanopatterning of Yttrium Iron Garnets (YIGs) has proven to be a non-trivial problem even with advances in modern lithography techniques due to non-compatibility with a conventional complementary metal oxide semiconductor platform. In an attempt... Read More about Tuning spin wave modes in yttrium iron garnet films with stray fields.

A transient ultraluminous X-ray source in NGC 55 (2022)
Journal Article
Robba, A., Pinto, C., Pintore, F., Rodriguez, G., Ambrosi, E., Barra, F., …Walton, D. (2022). A transient ultraluminous X-ray source in NGC 55. Monthly Notices of the Royal Astronomical Society, 515(4), 4669-4674. https://doi.org/10.1093/mnras/stac2018

Ultraluminous X-ray sources (ULXs) are a class of accreting compact objects with X-ray luminosities above 1039 erg s−1. The average number of ULXs per galaxy is still not well constrained, especially given the uncertainty on the fraction of ULX trans... Read More about A transient ultraluminous X-ray source in NGC 55.

The DESI N-body simulation project – I. Testing the robustness of simulations for the DESI dark time survey (2022)
Journal Article
Grove, C., Chuang, C., Devi, N. C., Garrison, L., L’Huillier, B., Feng, Y., …Valenzuela, O. (2022). The DESI N-body simulation project – I. Testing the robustness of simulations for the DESI dark time survey. Monthly Notices of the Royal Astronomical Society, 515(2), https://doi.org/10.1093/mnras/stac1947

Analysis of large galaxy surveys requires confidence in the robustness of numerical simulation methods. The simulations are used to construct mock galaxy catalogues to validate data analysis pipelines and identify potential systematics. We compare th... Read More about The DESI N-body simulation project – I. Testing the robustness of simulations for the DESI dark time survey.

Spherical accretion of collisional gas in modified gravity I: self-similar solutions and a new cosmological hydrodynamical code (2022)
Journal Article
Zhang, H., Weinzierl, T., Schulz, H., & Li, B. (2022). Spherical accretion of collisional gas in modified gravity I: self-similar solutions and a new cosmological hydrodynamical code. Monthly Notices of the Royal Astronomical Society, 515(2), 2464-2482. https://doi.org/10.1093/mnras/stac1991

The spherical collapse scenario has great importance in cosmology since it captures several crucial aspects of structure formation. The presence of self-similar solutions in the Einstein-de Sitter (EdS) model greatly simplifies its analysis, making i... Read More about Spherical accretion of collisional gas in modified gravity I: self-similar solutions and a new cosmological hydrodynamical code.

IRC-Safe Graph Autoencoder for Unsupervised Anomaly Detection (2022)
Journal Article
Atkinson, O., Bhardwaj, A., Englert, C., Konar, P., Ngairangbam, V. S., & Spannowsky, M. (2022). IRC-Safe Graph Autoencoder for Unsupervised Anomaly Detection. Frontiers in Artificial Intelligence, 5, Article 943135. https://doi.org/10.3389/frai.2022.943135

Anomaly detection through employing machine learning techniques has emerged as a novel powerful tool in the search for new physics beyond the Standard Model. Historically similar to the development of jet observables, theoretical consistency has not... Read More about IRC-Safe Graph Autoencoder for Unsupervised Anomaly Detection.

Modelling the galaxy–halo connection with machine learning (2022)
Journal Article
Delgado, A. M., Wadekar, D., Hadzhiyska, B., Bose, S., Hernquist, L., & Ho, S. (2022). Modelling the galaxy–halo connection with machine learning. Monthly Notices of the Royal Astronomical Society, 515(2), 2733-2746. https://doi.org/10.1093/mnras/stac1951

To extract information from the clustering of galaxies on non-linear scales, we need to model the connection between galaxies and haloes accurately and in a flexible manner. Standard halo occupation distribution (HOD) models make the assumption that... Read More about Modelling the galaxy–halo connection with machine learning.

On the accretion of a new group of galaxies on to Virgo – II. The effect of pre-processing on the stellar population content of dEs (2022)
Journal Article
Bidaran, B., La Barbera, F., Pasquali, A., Peletier, R., van de Ven, G., Grebel, E. K., …Coccato, L. (2022). On the accretion of a new group of galaxies on to Virgo – II. The effect of pre-processing on the stellar population content of dEs. Monthly Notices of the Royal Astronomical Society, 515(3), 4622-4638. https://doi.org/10.1093/mnras/stac2005

Using MUSE spectra, we investigate how pre-processing and accretion on to a galaxy cluster affect the integrated stellar population properties of dwarf early-type galaxies (dEs). We analyse a sample of nine dEs with stellar masses of ∼109M⊙⁠, which w... Read More about On the accretion of a new group of galaxies on to Virgo – II. The effect of pre-processing on the stellar population content of dEs.

Spontaneous phase separation of ternary fluid mixtures (2022)
Journal Article
Shek, A. C., & Kusumaatmaja, H. (2022). Spontaneous phase separation of ternary fluid mixtures. Soft Matter, 18(31), 5807-5814. https://doi.org/10.1039/d2sm00413e

We computationally study the spontaneous phase separation of ternary fluid mixtures using the lattice Boltzmann method both when all the surface tensions are equal and when they have different values. To rationalise the phase diagram of possible phas... Read More about Spontaneous phase separation of ternary fluid mixtures.