Neuronal diversity can improve machine learning for physics and beyond by Anshul Choudhary, Anil Radhakrishnan, John F. Lindner, Sudeshna Sinha, William L. Ditto

“…Examples include conventional neural networks classifying digits and forecasting a van der Pol oscillator and physics-informed Hamiltonian neural networks learning Hénon–Heiles stellar orbits and the swing of a video recorded pendulum clock. …”
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The Nominal Ranges of Rocky Planet Masses, Radii, Surface Gravities, and Bulk Densities by C. T. Unterborn, S. J. Desch, J. Haldemann, A. Lorenzo, J. G. Schulze, N. R. Hinkel, W. R. Panero

“…We apply our classification scheme to a sample of 85 well-resolved exoplanets without available host-star abundances. …”
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The Fundamental Signature of Star Formation Quenching from AGN Feedback: A Critical Dependence of Quiescence on Supermassive Black Hole Mass, Not Accretion Rate by Asa F. L. Bluck, Joanna M. Piotrowska, Roberto Maiolino

“…All three simulations predict that, in lieu of black hole mass, the stellar gravitational potential will outperform the other parameters in predicting quenching. …”
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Planets, candidates, and binaries from the CoRoT/Exoplanet programme: The CoRoT transit catalogue by Deleuil, M, Aigrain, S, Moutou, C, Cabrera, J, Bouchy, F, Deeg, H, Almenara, J, Hébrard, G, Santerne, A, Alonso, R, Bonomo, A, Bordé, P, Csizmadia, S, Erikson, A, Fridlund, M, Gandolfi, D, Guenther, E, Guillot, T, Guterman, P, Grziwa, S, Hatzes, A, Léger, A, Mazeh, T, Ofir, A, Ollivier, M, Pätzold, M, Parviainen, H, Rauer, H, Rouan, D, Schneider, J, Titz-Weider, R, Tingley, B, Weingrill, J

“…<p>The CoRoT space mission observed 163 665 stars over 26 stellar fields in the faint star channel. The exoplanet teams detected a total of 4123 transit-like features in the 177 454 light curves. …”

ECLIPSING BINARY STARS : LIGHT CURVE MODELS AND SOFTWARE by P. G. Niarchos

“…The importance of studying Eclipsing Binary Stars for the determination of fundamental stellar data is sketched. The eclipsing binaries, originally classified phenomenologically, are now understood on the basis of much firmer physics and the improved understanding has led to a morphological basis of classification. …”
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Radial pulsations, moment of inertia and tidal deformability of dark energy stars by Juan M. Z. Pretel

“…However, there is the possibility of constructing ultra-compact stars for sufficiently large anisotropies. We investigate the stellar stability against radial oscillations, and we also determine the moment of inertia and tidal deformability of these stars. …”
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Red supergiant candidates for multimessenger monitoring of the next Galactic supernova by Healy, S, Horiuchi, S, Colomer Molla, M, Milisavljevic, D, Tseng, J, Bergin, F, Weil, K, Tanaka, M, Otero, S

“…Determining the stars' bolometric luminosities and effective temperatures, we compare to Geneva stellar evolution tracks to determine likely RSG candidates, and quantify contamination using a catalogue of Galactic AGB in the same luminosity-temperature space. …”

ALL SIX PLANETS KNOWN TO ORBIT KEPLER-11 HAVE LOW DENSITIES by Lissauer, Jack J., Jontof-Hutter, Daniel, Rowe, Jason F., Fabrycky, Daniel C., Lopez, Eric D., Agol, Eric, Marcy, Geoffrey W., Deck, Katherine M., Fischer, Debra A., Fortney, Jonathan J., Howell, Steve B., Isaacson, Howard, Jenkins, Jon M., Kolbl, Rea, Sasselov, Dimitar, Short, Donald R., Welsh, William F.

“…We perform a dynamical analysis of the system based upon transit timing variations observed in more than three years of Kepler photometric data. Stellar parameters are derived using a combination of spectral classification and constraints on the star's density derived from transit profiles together with planetary eccentricity vectors provided by our dynamical study. …”
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Concept "Star" in English Linguaculture: Notional Features by A. A. Bakirova

“…The cognitive attributes "stellar body", "fortune / destiny", and "a white patch on the forehead of a horse or other animal" proved to go back to motivating features, which indicates their long-term presence in the language. …”
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Early type galaxies have been the predominant morphological class for massive galaxies since only z~1 by Buitrago, F, Trujillo, I, Conselice, C, Haeussler, B

“…In this paper we have probed this theoretical expectation by compiling a large sample of massive (M_{stellar}&gt;10^{11} h_{70}^{-2} M_{Sun}$) galaxies in the redshift interval 0 &lt; z &lt; 3. …”

A Chandra X-Ray Survey of Optically Selected Close Galaxy Pairs: Unexpectedly Low Occupation of Active Galactic Nuclei by Lin He, Meicun Hou, Zhiyuan Li, Shuai Feng, Xin Liu

“…The detected and undetected nuclei show no systematic difference in their host galaxy properties such as galaxy morphology, stellar mass, and stellar velocity dispersion. When potential contamination from star formation is avoided (i.e., L _2−10 keV > 10 ^41 erg s ^−1 ), the detection rate becomes $18{ \% }_{-3 \% }^{+3 \% }$ (32/184), which shows no excess compared to the X-ray detection rate of a comparison sample of optically classified single AGNs. …”
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POSYDON: A General-purpose Population Synthesis Code with Detailed Binary-evolution Simulations by Tassos Fragos, Jeff J. Andrews, Simone S. Bavera, Christopher P. L. Berry, Scott Coughlin, Aaron Dotter, Prabin Giri, Vicky Kalogera, Aggelos Katsaggelos, Konstantinos Kovlakas, Shamal Lalvani, Devina Misra, Philipp M. Srivastava, Ying Qin, Kyle A. Rocha, Jaime Román-Garza, Juan Gabriel Serra, Petter Stahle, Meng Sun, Xu Teng, Goce Trajcevski, Nam Hai Tran, Zepei Xing, Emmanouil Zapartas, Michael Zevin

“…This paper describes the detailed methodology and implementation of POSYDON , including the assumed physics of stellar and binary evolution, the extensive grids of detailed single- and binary-star models, the postprocessing, classification, and interpolation methods we developed for use with the grids, and the treatment of evolutionary phases that are not based on precalculated grids. …”
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Galaxy Zoo: The fundamentally different co-evolution of supermassive black holes and their early- and late-type host galaxies by Schawinski, K, Urry, C, Virani, S, Coppi, P, Bamford, S, Treister, E, Lintott, C, Sarzi, M, Keel, W, Kaviraj, S, Cardamone, C, Masters, K, Ross, N, Andreescu, D, Murray, P, Nichol, R, Raddick, M, Slosar, A, Szalay, A, Thomas, D, Vandenberg, J

“…We use data from the Sloan Digital Sky Survey and visual classifications of morphology from the Galaxy Zoo project to study black hole growth in the nearby Universe (z &lt; 0.05) and to break down the AGN host galaxy population by color, stellar mass and morphology. …”

Retrieval of the physical parameters of galaxies from WEAVE-StePS-like data using machine learning by Angthopo, J, Granett, B, La Barbera, F, Longhetti, M, Iovino, A, Fossati, M, Spiniello, C, Dalton, G, Jin, S

“…Finally, we find that the classification of galaxies as members of the green valley is successful across the different redshifts and S/Ns. …”

Distinguishing Tidal Disruption Events from Impostors by Zabludoff, Ann, Arcavi, Iair, La Massa, Stephanie, Perets, Hagai B, Trakhtenbrot, Benny, Zauderer, B. A, Auchettl, Katie, Dai, Jane L, French, K. D, Hung, Tiara, Kara, Erin, Lodato, Giuseppe, Maksym, W. P, Qin, Yujing, Ramirez-Ruiz, Enrico, Roth, Nathaniel

“…This chapter both reviews those events that are unusual relative to other TDEs, including the possibility of TDEs in pre-existing AGN, and summarises those characteristics thought to best distinguish TDEs from continuously accreting AGN, strongly flaring AGN, SNe, and Gamma-Ray Bursts (GRBs), as well as other potential impostors like stellar collisions, “micro-TDEs,” and circumbinary accretion flows. …”
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The 13th data release of the Sloan Digital Sky Survey: First spectroscopic data from the SDSS-IV Survey mapping nearby galaxies at Apache Point Observatory by Albareti, FD, Prieto, C, Almeida, A, Cappellari, M, Schoenrich, R, Sloan Digital Sky Survey

“…DR13 includes new reductions of the SDSS-III BOSS data, improving the spectrophotometric calibration and redshift classification, and new reductions of the SDSS-III APOGEE-1 data, improving stellar parameters for dwarf stars and cooler stars. …”

GAMA/H-ATLAS: Linking the properties of submm detected and undetected early-type galaxies - I. z ≤ 0.06 sample by Agius, N, Sansom, A, Popescu, C, Andrae, E, Baes, M, Baldry, I, Bourne, N, Brough, S, Clark, C, Conselice, C, Cooray, A, Dariush, A, De zotti, G, Driver, S, Dunne, L, Eales, SA, Foster, C, Gomez, H, Häußler, B, Hopkins, A, Hopwood, R, Ivison, R, Kelvin, L, Lara-lópez, M, Liske, J

“…The dust masses calculated from these fits, normalized by stellar mass, are shown to increase with decreasing stellar mass and bluer colours. …”

CatNorth: An Improved Gaia DR3 Quasar Candidate Catalog with Pan-STARRS1 and CatWISE by Yuming Fu, Xue-Bing Wu, Yifan Li, Yuxuan Pang, Ravi Joshi, Shuo Zhang, Qiyue Wang, Jing Yang, FanLam Ng, Xingjian Liu, Yu Qiu, Rui Zhu, Huimei Wang, Christian Wolf, Yanxia Zhang, Zhi-Ying Huo, Y. L. Ai, Qinchun Ma, Xiaotong Feng, R. J. Bouwens

“…An ensemble classification model is obtained by averaging two XGBoost classifiers trained with different master stellar samples. …”
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The K2 Bright Star Survey. I. Methodology and Data Release by Pope, BJS, White, TR, Farr, WM, Yu, J, Greklek-McKeon, M, Huber, D, Aerts, C, Aigrain, S, Bedding, TR, Boyajian, T, Creevey, OL, Hogg, DW

“…Applying this to the bright stars across the K2 Campaigns reveals stellar variability ubiquitously, including effects of stellar pulsation, rotation, and binarity. …”

The K2 Bright Star Survey. I. Methodology and data release by Pope, BJS, White, TR, Farr, WM, Yu, J, Greklek-McKeon, M, Huber, D, Aerts, C, Aigrain, S, Bedding, TR, Boyajian, T, Creevey, OL, Hogg, DW

“…Applying this to the bright stars across the K2 Campaigns reveals stellar variability ubiquitously, including effects of stellar pulsation, rotation, and binarity. …”