Pith. sign in

REVIEW 2 minor 60 cited by

Astropy version 5.0 adds new features to its core package while the project sustains growth through community contributions and observatory connections.

Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →

T0 review · grok-4.3

2026-05-24 11:23 UTC pith:BUPMK2U6

load-bearing objection This is a clear status report on the Astropy v5.0 release and project maintenance that documents changes without introducing new methods or results.

arxiv 2206.14220 v1 pith:BUPMK2U6 submitted 2022-06-28 astro-ph.IM

The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package

The Astropy Collaboration , Adrian M. Price-Whelan , Pey Lian Lim , Nicholas Earl , Nathaniel Starkman , Larry Bradley , David L. Shupe , Aarya A. Patil
show 128 more authors
Lia Corrales C. E. Brasseur Maximilian N\"othe Axel Donath Erik Tollerud Brett M. Morris Adam Ginsburg Eero Vaher Benjamin A. Weaver James Tocknell William Jamieson Marten H. van Kerkwijk Thomas P. Robitaille Bruce Merry Matteo Bachetti H. Moritz G\"unther Thomas L. Aldcroft Jaime A. Alvarado-Montes Anne M. Archibald Attila B\'odi Shreyas Bapat Geert Barentsen Juanjo Baz\'an Manish Biswas M\'ed\'eric Boquien D. J. Burke Daria Cara Mihai Cara Kyle E Conroy Simon Conseil Matthew W. Craig Robert M. Cross Kelle L. Cruz Francesco D'Eugenio Nadia Dencheva Hadrien A. R. Devillepoix J\"org P. Dietrich Arthur Davis Eigenbrot Thomas Erben Leonardo Ferreira Daniel Foreman-Mackey Ryan Fox Nabil Freij Suyog Garg Robel Geda Lauren Glattly Yash Gondhalekar Karl D. Gordon David Grant Perry Greenfield Austen M. Groener Steve Guest Sebastian Gurovich Rasmus Handberg Akeem Hart Zac Hatfield-Dodds Derek Homeier Griffin Hosseinzadeh Tim Jenness Craig K. Jones Prajwel Joseph J. Bryce Kalmbach Emir Karamehmetoglu Miko{\l}aj Ka{\l}uszy\'nski Michael S. P. Kelley Nicholas Kern Wolfgang E. Kerzendorf Eric W. Koch Shankar Kulumani Antony Lee Chun Ly Zhiyuan Ma Conor MacBride Jakob M. Maljaars Demitri Muna N. A. Murphy Henrik Norman Richard O'Steen Kyle A. Oman Camilla Pacifici Sergio Pascual J. Pascual-Granado Rohit R. Patil Gabriel I Perren Timothy E. Pickering Tanuj Rastogi Benjamin R. Roulston Daniel F Ryan Eli S. Rykoff Jose Sabater Parikshit Sakurikar Jes\'us Salgado Aniket Sanghi Nicholas Saunders Volodymyr Savchenko Ludwig Schwardt Michael Seifert-Eckert Albert Y. Shih Anany Shrey Jain Gyanendra Shukla Jonathan Sick Chris Simpson Sudheesh Singanamalla Leo P. Singer Jaladh Singhal Manodeep Sinha Brigitta M. Sip\H{o}cz Lee R. Spitler David Stansby Ole Streicher Jani \v{S}umak John D. Swinbank Dan S. Taranu Nikita Tewary Grant R. Tremblay Miguel de Val-Borro Samuel J. Van Kooten Zlatan Vasovi\'c Shresth Verma Jos\'e Vin\'icius de Miranda Cardoso Peter K. G. Williams Tom J. Wilson Benjamin Winkel W. M. Wood-Vasey Rui Xue Peter Yoachim Chen ZHANG Andrea Zonca
This is my paper
classification astro-ph.IM
keywords Astropyopen-source softwareastronomyPython packagecommunity projectversion 5.0observatory connectionssustainability
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper sets out to document the release of Astropy core package version 5.0 and the ongoing operations of the Astropy Project. It shows how the project maintains an open development model that connects specialized packages to the core library and links the software to data from actual observatories and missions. A reader would care because the core package underpins much of the Python ecosystem used for astronomical calculations and data handling. The paper also reviews educational resources under Learn Astropy and flags current and future operational challenges.

Core claim

The Astropy Project maintains its core package through version 5.0, which incorporates updated functionality for astronomical tasks, while the larger effort grows by fostering interoperable packages and direct ties to several observatories and space missions; the project additionally tracks the status of its learning materials and identifies sustainability issues ahead.

What carries the argument

The astropy core package, which serves as the foundation for more specialized astronomy packages and provides commonly needed functionality.

Load-bearing premise

The features described for version 5.0 are correctly implemented in the released code and the community and funding structures outlined will continue to function as stated.

What would settle it

A verified discrepancy between the claimed new features in the v5.0 release and the actual behavior of the distributed code, or a documented drop in active contributors below the levels needed to sustain the project.

Watch this falsifier — get emailed when new claim-graph text bears on it.

If this is right

  • Users gain access to updated coordinate, time, and data-handling tools in the core package.
  • Specialized packages can continue to build on the core without duplication of basic functions.
  • Data interoperability improves between Astropy-based software and specific observatory or mission pipelines.
  • Educational materials under Learn Astropy remain part of the project's support structure.
  • The project must address identified challenges to keep the community model viable.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same community model might be tested in other scientific domains that rely on shared Python libraries.
  • If connections to missions strengthen, the package could become a de facto standard for mission data reduction pipelines.
  • Sustained growth may require explicit strategies for onboarding new developers to offset contributor turnover.
  • Future versions could incorporate tighter integration with emerging data formats from next-generation telescopes.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Referee Report

0 major / 2 minor

Summary. The manuscript is a status report on the Astropy Project, summarizing key new features and updates in the core astropy package version 5.0, describing project governance and community growth, outlining connections to observatories and missions, revisiting the future outlook including Learn Astropy, and discussing current and future challenges for sustaining the open-source effort.

Significance. As a factual enumeration of delivered features in a widely adopted astronomy software package, the report has clear value in documenting the state of the ecosystem and highlighting community-driven development. Its significance lies in providing a citable reference for users and contributors rather than in novel scientific results; the public availability of v5.0 allows direct verification of the listed changes.

minor comments (2)
  1. [Abstract] The abstract lists topics covered but does not quantify the scale of changes in v5.0 (e.g., number of new modules or performance improvements); adding one or two concrete metrics would help readers gauge the release scope.
  2. Section headings for the ecosystem discussion and challenges could be made more parallel in style for improved readability.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive assessment of the manuscript and their recommendation to accept. We appreciate the recognition of the paper's value as a citable reference documenting the state of the Astropy ecosystem.

Circularity Check

0 steps flagged

No circularity; factual status report on software release

full rationale

The paper is a descriptive status report enumerating features in Astropy v5.0, community governance, and ecosystem connections. It contains no equations, derivations, fitted parameters, predictions, or models. All content consists of factual enumeration of changes present in the public repository and documented project activities, with no load-bearing step that reduces to its own inputs by construction or self-citation. This is the most common honest finding for non-analytical project reports.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

This is a software project status paper containing no mathematical models, derivations, or empirical fits; therefore it introduces no free parameters, axioms, or invented entities.

pith-pipeline@v0.9.0 · 6393 in / 1125 out tokens · 31253 ms · 2026-05-24T11:23:48.129567+00:00 · methodology

0 comments
read the original abstract

The Astropy Project supports and fosters the development of open-source and openly-developed Python packages that provide commonly needed functionality to the astronomical community. A key element of the Astropy Project is the core package $\texttt{astropy}$, which serves as the foundation for more specialized projects and packages. In this article, we summarize key features in the core package as of the recent major release, version 5.0, and provide major updates for the Project. We then discuss supporting a broader ecosystem of interoperable packages, including connections with several astronomical observatories and missions. We also revisit the future outlook of the Astropy Project and the current status of Learn Astropy. We conclude by raising and discussing the current and future challenges facing the Project.

Figures

Figures reproduced from arXiv: 2206.14220 by Aarya A. Patil, Adam Ginsburg, Adrian M. Price-Whelan, Akeem Hart, Albert Y. Shih, Anany Shrey Jain, Andrea Zonca, Aniket Sanghi, Anne M. Archibald, Antony Lee, Arthur Davis Eigenbrot, Attila B\'odi, Austen M. Groener, Axel Donath, Benjamin A. Weaver, Benjamin R. Roulston, Benjamin Winkel, Brett M. Morris, Brigitta M. Sip\H{o}cz, Bruce Merry, Camilla Pacifici, C. E. Brasseur, Chen Zhang, Chris Simpson, Chun Ly, Conor MacBride, Craig K. Jones, Daniel Foreman-Mackey, Daniel F Ryan, Dan S. Taranu, Daria Cara, David Grant, David L. Shupe, David Stansby, Demitri Muna, Derek Homeier, D. J. Burke, Eero Vaher, Eli S. Rykoff, Emir Karamehmetoglu, Eric W. Koch, Erik Tollerud, Francesco D'Eugenio, Gabriel I Perren, Geert Barentsen, Grant R. Tremblay, Griffin Hosseinzadeh, Gyanendra Shukla, Hadrien A. R. Devillepoix, Henrik Norman, H. Moritz G\"unther, Jaime A. Alvarado-Montes, Jakob M. Maljaars, Jaladh Singhal, James Tocknell, Jani \v{S}umak, J. Bryce Kalmbach, Jes\'us Salgado, John D. Swinbank, Jonathan Sick, J\"org P. Dietrich, Jose Sabater, Jos\'e Vin\'icius de Miranda Cardoso, J. Pascual-Granado, Juanjo Baz\'an, Karl D. Gordon, Kelle L. Cruz, Kyle A. Oman, Kyle E Conroy, Larry Bradley, Lauren Glattly, Lee R. Spitler, Leonardo Ferreira, Leo P. Singer, Lia Corrales, Ludwig Schwardt, Manish Biswas, Manodeep Sinha, Marten H. van Kerkwijk, Matteo Bachetti, Matthew W. Craig, Maximilian N\"othe, M\'ed\'eric Boquien, Michael Seifert-Eckert, Michael S. P. Kelley, Miguel de Val-Borro, Mihai Cara, Miko{\l}aj Ka{\l}uszy\'nski, Nabil Freij, Nadia Dencheva, N. A. Murphy, Nathaniel Starkman, Nicholas Earl, Nicholas Kern, Nicholas Saunders, Nikita Tewary, Ole Streicher, Parikshit Sakurikar, Perry Greenfield, Peter K. G. Williams, Peter Yoachim, Pey Lian Lim, Prajwel Joseph, Rasmus Handberg, Richard O'Steen, Robel Geda, Robert M. Cross, Rohit R. Patil, Rui Xue, Ryan Fox, Samuel J. Van Kooten, Sebastian Gurovich, Sergio Pascual, Shankar Kulumani, Shresth Verma, Shreyas Bapat, Simon Conseil, Steve Guest, Sudheesh Singanamalla, Suyog Garg, Tanuj Rastogi, The Astropy Collaboration, Thomas Erben, Thomas L. Aldcroft, Thomas P. Robitaille, Tim Jenness, Timothy E. Pickering, Tom J. Wilson, Volodymyr Savchenko, William Jamieson, W. M. Wood-Vasey, Wolfgang E. Kerzendorf, Yash Gondhalekar, Zac Hatfield-Dodds, Zhiyuan Ma, Zlatan Vasovi\'c.

Figure 1
Figure 1. Figure 1: Yearly full-text mentions of programming languages (indicated in the figure legend) in refereed publications in the astronomical literature database in the Astrophysics Data System (ADS). Python has rapidly become the dominant programming language men￾tioned in refereed articles over the last 10 years. ¥ significant motivation, and the addition of new features into the core package has slowed as compared t… view at source ↗
Figure 2
Figure 2. Figure 2: The cumulative fraction of Git commits to the astropy core package as a function of number of contributors (committers) broken into three equal-length time periods between the start of astropy and the feature freeze date of v5.0. The time eras early, mid, and recent correspond to the approximate year ranges 2011–2015, 2015–2018, 2018–2021 (defined more precisely in Section 3.2). In all eras, the majority o… view at source ↗
Figure 3
Figure 3. Figure 3: The career stages and/or positions of the top contributors within each time era (defined as having contributed > 50 commits to the astropy core package in each era). The time eras early, mid, and recent correspond to the approximate year ranges 2011–2015, 2015–2018, 2018–2021 (defined more precisely in Section 3.2). ¥ within the Project. On the other hand, the total number of top contributors has not grown… view at source ↗
Figure 4
Figure 4. Figure 4: Top panel: The number of Git commits per month (defined as consecutive 30 day windows) merged into the astropy core package over the whole history of the Project (up to end of 2021, v5.0). The dark line shows the mean rate using a 1 year rolling window, but the under-plotted gray line shows the raw monthly rate. The raw number clearly peaks just before feature freezes (vertical lines) as a flurry of activi… view at source ↗
Figure 5
Figure 5. Figure 5: The number of users who accessed the astropy core package documentation in 2021, based on data from Google Analytics. The circle markers show the approximate locations of home institutions for Astropy voting members (green) and coordination com￾mittee members (red), demonstrating the over-representation of the United States and, less so, Europe given the global spread of astropy users. ¥ stemming from the … view at source ↗

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 60 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. The Dust Mineralogy of Interstellar Comet 3I/ATLAS from JWST/MIRI Observations

    astro-ph.EP 2026-06 unverdicted novelty 8.0

    JWST observations indicate that interstellar comet 3I/ATLAS has dust dominated by amorphous silicates similar to the ISM, unlike the crystalline silicate-rich dust in Solar System comets.

  2. A thorium-229 optical nuclear clock with feedback loop

    physics.atom-ph 2026-06 unverdicted novelty 8.0

    A functional thorium-229 optical nuclear clock is demonstrated in a solid-state crystal with shot-noise limited performance and applied to dark matter constraints.

  3. Traces of Helium Detected in Type Ic Supernova 2014L

    astro-ph.HE 2026-03 accept novelty 8.0

    Quantitative Bayesian inference using a deep-learning emulator detects 0.018-0.020 M_sun of helium in the Type Ic supernova 2014L.

  4. A massive and evolved slow-rotating galaxy in the early Universe

    astro-ph.GA 2025-08 unverdicted novelty 8.0

    A massive quiescent galaxy at z=3.449 exhibits low rotation (λ_Re = 0.123) consistent with slow-rotator kinematics, indicating early formation of dispersion-dominated systems.

  5. Discovery of an Inflated Hot Neptune and Its Formation from Jovian Mass Loss

    astro-ph.EP 2026-07 unverdicted novelty 7.0

    TOI-2195 A b is an inflated hot Neptune that likely originated as a Jovian planet losing ~90% mass through Roche lobe overflow during EKL-driven high-eccentricity migration triggered by a wide binary companion.

  6. Native-resolution retrievals of VHS 1256-1257 b spanning the JWST/NIRSpec wavelength range: Chemical composition of a partially cloudy atmosphere

    astro-ph.EP 2026-07 unverdicted novelty 7.0

    Native-resolution retrievals on 0.97-5.27 micron JWST spectra of VHS 1256 b find a ~79% cloud deck, solar-like metallicity and C/O, and depleted 18O in a partially cloudy disequilibrium atmosphere.

  7. The Mid-Infrared Transmission Spectrum of the Temperate Sub-Neptune TOI-270 d

    astro-ph.EP 2026-07 unverdicted novelty 7.0

    First mid-IR transmission spectrum of TOI-270 d shows molecular features with Bayesian evidence ln B = 2.8-5.3 and identifies candidate trace molecules from an agnostic search of 203 species.

  8. Spatially resolved optical and mid-infrared spectroscopy of SDSS1335+0728: implications for the origin of the Ansky event

    astro-ph.GA 2026-07 unverdicted novelty 7.0

    Spatially resolved spectroscopy shows SDSS1335+0728 has a three-zone ionisation structure, optically thin dust, and sustained low-level nuclear activity for at least 1500 years, implying the Ansky event is a faint tra...

  9. An Acceleration is Worth a Hundred Thousand Phase Space Measurements

    astro-ph.GA 2026-06 unverdicted novelty 7.0

    One acceleration measurement equals ~10^5 phase-space measurements for local dark matter density estimation, with acceleration outperforming Jeans modeling in both equilibrium and perturbed Milky Way simulations.

  10. Pulsed Infrared Emission from Magnetar 4U 0142+61 Detected by JWST

    astro-ph.HE 2026-06 conditional novelty 7.0

    JWST timing observation detects pulsed IR emission from magnetar 4U 0142+61 matching its spin period, with flux 22.9±0.6 μJy and ~10% pulsed fraction lower limit.

  11. Lower Your Rates: On Claims of a Binary Black Hole Merger-Rate Crisis

    astro-ph.HE 2026-06 unverdicted novelty 7.0

    A meta-analysis of 1490 BBH merger rate predictions from 57 studies shows substantial subsets reproduce or underestimate the observed rate, indicating that apparent crises are model-dependent rather than universal.

  12. Improving exoplanet mass characterisation with Bayesian model selection using the Learned Harmonic Mean Estimator

    astro-ph.EP 2026-06 unverdicted novelty 7.0

    First use of the learned harmonic mean estimator for Bayesian model selection across circular/eccentric, white-noise/GP, and trend variants in radial velocity exoplanet analyses.

  13. Stellar black hole binaries from two common envelope evolution phases in triple stellar systems

    astro-ph.HE 2026-06 unverdicted novelty 7.0

    A triple-star channel with two common envelope evolution phases produces merging black hole binaries with positive average χ_eff and a tail of negative values.

  14. A Population of Little Red Dot-like Quasars in SDSS

    astro-ph.GA 2026-06 unverdicted novelty 7.0

    Defines a sample of ~1300 SDSS quasars as Local Red Dots matching LRD photometric colors at z~0.4-0.8, with a V-shaped subset showing Balmer absorption and [NeV] emission, and SEDs modeled as reddened AGN plus host ga...

  15. JWST resolves jet-driven H2 and ionized outflows in radio galaxy 3C305

    astro-ph.GA 2026-06 unverdicted novelty 7.0

    JWST data on 3C305 shows the compact radio jet efficiently drives kiloparsec-scale multiphase outflows via shocks, with high coupling to the observed gas kinetic power and radiative losses.

  16. A magnetically-supported disk-corona model for Changing-Look AGN transitions

    astro-ph.HE 2026-06 unverdicted novelty 7.0

    Magnetized disk models lower the thermal-viscous instability threshold to Eddington ratios of 0.01-0.03 and yield limit-cycle timescales of months to years, jointly matching observations in five CLAGN only when the in...

  17. First measurement of narrow-line flux ratios for a lensed quasar with JWST/NIRSpec IFS

    astro-ph.GA 2026-06 unverdicted novelty 7.0

    First narrow-line flux ratios for lensed quasar RXJ1131-1231 measured with JWST/NIRSpec IFS at ~5% precision, detecting cusp anomaly consistent with prior work.

  18. Polarisation and Faraday rotation measure imaging at metre wavelengths with sub-arcsecond resolution: a foundational calibration strategy

    astro-ph.IM 2026-06 unverdicted novelty 7.0

    A calibration strategy using full-Jones corrections with an in-field unpolarised calibrator and visibility-based multi-epoch alignment enables sub-arcsecond polarimetric imaging with LOFAR at metre wavelengths.

  19. An extreme ram-pressure stripping event in a protocluster at redshift 4.3

    astro-ph.GA 2026-06 unverdicted novelty 7.0

    ALMA and JWST data reveal an extreme ram-pressure stripping event removing most cold gas from a massive galaxy in a z=4.3 protocluster core.

  20. Transit Timing Variations in TESS: A Catalog from the First Five Years

    astro-ph.EP 2026-06 unverdicted novelty 7.0

    First TESS TTV catalog from 175 multi-TOI systems detects significant variations in 20 systems (13 new), showing 2:1 resonance pile-up unlike Kepler's 3:2.

  21. Search for High-Frequency Gravitational Waves via Geomagnetic Conversion with Radio Telescopes

    gr-qc 2026-06 unverdicted novelty 7.0

    First search for high-frequency gravitational waves via inverse Gertsenshtein conversion in Earth's magnetic field with VLA and ALMA sets new upper limits h_c ≲ 10^{-18} from 1 GHz to 1 THz.

  22. Extending asteroseismic magnetometry across the diverse landscape of magnetic structures

    astro-ph.SR 2026-06 unverdicted novelty 7.0

    Extends magnetogravity polarization formalism to arbitrary magnetic field geometries, revealing avoided crossings and mode conversion below a local field threshold.

  23. Measuring a Black Hole's Area Immediately after Merger: A Direct-Wave Test of Hawking's Area Law

    gr-qc 2026-06 unverdicted novelty 7.0

    A gravitational-wave method infers the Kerr-equivalent horizon area from direct waves in the near-merger signal of GW250114, yielding consistency with the Kerr remnant and a new test of Hawking's area law.

  24. NOEMA$^\rm{3D}$: A deep view of cold gas flows in a barred spiral galaxy at $z\sim1$

    astro-ph.GA 2026-06 unverdicted novelty 7.0

    Deep interferometric observations of a z≈1.12 barred spiral reveal bar-driven molecular inflows at a rate matching the galaxy's star formation rate of ~36 M⊙/yr.

  25. DELOS: Detecting Shallow Transits in Kepler Photometry Using a Contrastive-Learning Framework

    astro-ph.EP 2026-05 conditional novelty 7.0

    DELOS applies contrastive learning to phase-folded light curves to detect shallow intermediate-to-long period transits, reporting 15.5% and 11.25% gains in combined precision-recall over BLS and TLS in low-SNR tests p...

  26. MAGAZ3NE: Spatially Resolved Ages and Chemical Abundances of Ultra-Massive Quiescent Galaxies at z $\sim$ 3.5 using JWST/NIRSpec IFU

    astro-ph.GA 2026-05 unverdicted novelty 7.0

    JWST IFU spectroscopy of three ultra-massive quiescent galaxies at z~3.5 shows young central ages with elevated [α/Fe] and mixed age/abundance gradients, indicating rapid star formation before quenching and the need f...

  27. Integral field spectroscopy with no IFUs: combining wide-field rotational slitless spectroscopy with tomographic reconstruction

    astro-ph.IM 2026-05 unverdicted novelty 7.0

    ROSSINI achieves integral field spectroscopy without IFUs via rotational slitless imaging combined with tomographic reconstruction, recovering input datacubes to percent-level accuracy in numerical simulations.

  28. Inferring the role of binary neutron star mergers in r-process nucleosynthesis with multi-messenger observations using Cosmic Explorer and Einstein Telescope

    astro-ph.HE 2026-05 unverdicted novelty 7.0

    A new redshift-correlation technique with third-generation GW detectors can constrain the BNS contribution to cosmic r-process nucleosynthesis to 5-6% precision via Fisher forecasts on mock bright- and dark-siren data.

  29. Blue Straggler Stars in Old Open Clusters and the Kraft Break

    astro-ph.SR 2026-05 unverdicted novelty 7.0

    Blue straggler stars in old open clusters exhibit a Kraft break in rotation, with rapid rotators above the break and slow rotators below, indicating their envelopes behave like those of single stars.

  30. A universal framework to identify eccentric binary mergers: GW200105 case study

    astro-ph.HE 2026-05 unverdicted novelty 7.0

    A reference-frequency-independent detection statistic for eccentric binary mergers is introduced and applied to GW200105, yielding ln B ≤ 0.9 in favor of the eccentric aligned-spin model over the quasi-circular preces...

  31. A reversed solar illumination dependence of unintended emission from Starlink Direct-to-Cell satellites at 72-234 MHz with the EDA2

    eess.SP 2026-05 conditional novelty 7.0

    Starlink DTC satellites show reversed solar illumination dependence in unintended emissions at 72-234 MHz, brighter in eclipse than sunlight unlike Ku-only satellites, pointing to an active on-board source.

  32. Reconstructing the Stripping History of the Sagittarius Stream with Neural Networks

    astro-ph.GA 2026-05 unverdicted novelty 7.0

    A neural network trained on simulations infers stripping times for Sagittarius stream stars from phase-space data, measuring a 0.3 dex/Gyr metallicity gradient and estimating ages for globular clusters such as Pal 12 ...

  33. Trajectory-Agnostic Asteroid Detection in TESS with Deep Learning

    astro-ph.EP 2026-05 unverdicted novelty 7.0

    A W-Net deep learning model detects asteroids in TESS data independently of trajectory by rotating training image cubes and using adaptive normalization for data scaling.

  34. Constraining the Galactic bar using the M92 stellar stream

    astro-ph.GA 2026-05 unverdicted novelty 7.0

    Spectroscopic members of the M92 stream yield a Milky Way bar pattern speed of 29.1 +0.7/-0.4 km s^{-1} kpc^{-1}.

  35. AGILE detection of transient {\gamma}-ray emission from the region of the supergiant fast X-ray transient source IGR J17354-3255

    astro-ph.HE 2026-05 unverdicted novelty 7.0

    AGILE archival data reveal gamma-ray flares from a source matching IGR J17354-3255, with orbital phase correlation supporting physical association and high-energy emission from SFXTs.

  36. The Tale of a Hungry Subgiant and Its Brown Dwarf: Interior Radiative Damping Dominates the Tidal Evolution of TOI-5882

    astro-ph.SR 2026-05 unverdicted novelty 7.0

    Radiative damping of internal gravity waves dominates tidal evolution in TOI-5882, shortening the brown dwarf's engulfment timescale by a factor of 2-6 relative to classical models.

  37. The Tale of a Hungry Subgiant and Its Brown Dwarf: Interior Radiative Damping Dominates the Tidal Evolution of TOI-5882

    astro-ph.SR 2026-05 unverdicted novelty 7.0

    A coupled MESA-GYRE framework shows interior radiative damping of gravity waves dominates tidal evolution in TOI-5882, predicting a 2-6 fold reduction in engulfment timescale versus equilibrium tide models.

  38. JWST high-contrast spectroscopy with speckle modelling: Atmospheric retrievals of the T dwarf companion HD 19467 B

    astro-ph.EP 2026-05 unverdicted novelty 7.0

    Joint speckle-atmosphere retrievals on JWST spectra of HD 19467 B and a field T dwarf detect H2O, CH4, CO, CO2 and NH3, yield carbon isotopic ratios of 154 and 85 respectively, and show near-solar metallicity with sub...

  39. Resolving the Unresolved Galactic Winds in Multi-phase Models. I. Methodology and Application

    astro-ph.GA 2026-05 accept novelty 7.0

    A new fitting methodology applied to UV absorption data recovers radial trends in galactic wind velocities and mass-loading factors by constraining initial hot and cool phase parameters in a multiphase model.

  40. Archival Multiband Gravitational-Wave Signals from Massive Black Hole Binary Mergers

    astro-ph.HE 2026-04 unverdicted novelty 7.0

    Massive black hole binary mergers produce orphaned low-frequency signals in PTA pulsar terms that can be stacked for archival multiband gravitational-wave detection.

  41. Probing Supermassive Black Hole Mergers with Pulsar Timing Arrays

    astro-ph.HE 2026-04 unverdicted novelty 7.0

    Pulsar timing arrays can probe supermassive black hole binaries that merged prior to observations via the pulsar term, with SKA potentially detecting a few such zombie binaries at SNR > 3.

  42. A Census of Na D-traced neutral ISM and outflows at $0.6<z<4$

    astro-ph.GA 2026-04 unverdicted novelty 7.0

    A JWST census detects neutral ISM absorption in 76 of 309 galaxies at 0.6<z<4 and outflows in 26, indicating AGN-driven neutral outflows dominate in quiescent systems at cosmic noon.

  43. On the Gamma-ray Efficiency of Superluminous Supernovae: Potential Detections and Population-Level Constraints

    astro-ph.HE 2026-04 unverdicted novelty 7.0

    No significant GeV emission from 223 SLSNe constrains GeV-to-optical efficiency to η < 1.3×10^{-3}, with <0.7% of events allowed above 10^{-2}; SN 2017egm shows a ~4σ excess favoring magnetar origin while SN 2018bsz does not.

  44. FRTSearch: Unified Detection and Parameter Inference of Fast Radio Transients using Instance Segmentation

    astro-ph.IM 2026-04 unverdicted novelty 7.0

    FRTSearch reframes fast radio transient detection as instance segmentation on dynamic spectra and uses the segmented shapes to infer dispersion measure and time of arrival, achieving 98% recall with over 99.9% fewer f...

  45. Analytic compression of the effective field theory of the Lyman-alpha forest

    astro-ph.CO 2026-04 unverdicted novelty 7.0

    Analytic compression of EFT parameters for Lyα forest P1D via Fisher matrix and linearization allows efficient marginalization, saturating constraints with linear bias plus five effective terms and forecasting 10% and...

  46. The evolution of the mid-infrared spectrum of SN 1987A observed with the JWST/MIRI-MRS

    astro-ph.HE 2026-04 unverdicted novelty 7.0

    Second-epoch JWST/MIRI-MRS mid-IR spectra of SN 1987A show little overall dust evolution but inner equatorial ring fading, rapid ejecta line changes, some ER line fading, first mid-IR H2 from ejecta, and evidence that...

  47. Tracing Active Galactic Nuclei Properties Through a Changing-look Event

    astro-ph.GA 2026-04 unverdicted novelty 7.0

    A changing-look AGN exhibits a rapid accretion-driven spectral transition with broad-line region temperatures of approximately 11,800 K measured via Boltzmann plots and stable black hole mass estimates of 5 times 10 t...

  48. High CO/H2 ratios supports an exocometary origin for a CO-rich debris disk

    astro-ph.EP 2025-11 conditional novelty 7.0

    First direct H2 measurements in two CO-rich exocometary belts yield CO/H2 lower limits of >1.35e-3 and >3.09e-5, showing the gas is H2-poor and supporting secondary exocometary origin.

  49. Lensed stars in galaxy-galaxy strong lensing -- a JWST prediction for the Cosmic Horseshoe

    astro-ph.CO 2025-09 unverdicted novelty 7.0

    Calculation predicts ~60 lensed star transients per JWST pointing in the Cosmic Horseshoe, enabling spatial tests of dark matter and constraints on the stellar IMF.

  50. JWST's first view of the most vigorously star-forming cloud in the Galactic center -- Sagittarius B2

    astro-ph.GA 2025-09 unverdicted novelty 7.0

    New JWST multi-filter imaging of Sgr B2 detects previously hidden massive stars and ionized structures while finding no extended young stellar objects, implying star formation there has only recently begun.

  51. Extreme outflow velocities and weak UV emission lines indicate quasars shedding their dust cocoons

    astro-ph.GA 2026-07 unverdicted novelty 6.0

    Six z~2-3 quasars with extreme LoBAL outflows and weak UV lines are interpreted as weak-emission-line quasars emerging from dust cocoons via disc winds that shatter grains and produce steeper extinction.

  52. Bar-driven secular evolution largely complete in a disk galaxy 7.6 billion years ago

    astro-ph.GA 2026-07 unverdicted novelty 6.0

    JWST imaging reveals a z=0.92 disk galaxy with an X-shaped bulge, nuclear stellar disk, and extended disk whose bar geometry matches present-day systems, showing bar-driven secular evolution largely complete 7.6 Gyr ago.

  53. Optimization Algorithm for Determining the Source Surface Radius Based on Parker Solar Probe in situ Measurements from Encounters 1 to 19

    astro-ph.SR 2026-07 unverdicted novelty 6.0

    An optimization algorithm determines the optimal source surface radius for PFSS models by minimizing MSE against PSP radial field data from encounters 1-19 after backmapping, yielding increasing R_ss from solar minimu...

  54. JWST Medium-Resolution Infrared Spectroscopy of SN 2022acko: Tracing Molecule Formation in the Nebular Phase

    astro-ph.HE 2026-06 unverdicted novelty 6.0

    JWST spectra of SN 2022acko reveal CO masses of 1.55e-4 and 2.47e-4 solar masses, IME velocities ~300 km/s vs ~100 km/s for H/He/IGEs suggesting bipolar outflow, and substantially less molecule formation than higher-m...

  55. Cosmological inference from the eBOSS QSO full-shape analysis with optimal redshift weights

    astro-ph.CO 2026-06 unverdicted novelty 6.0

    Optimal redshift weighting on eBOSS QSO full-shape data reduces uncertainties on H0 by 43.3%, σ8 by 19.7%, w0 by 20.5% and produces a bounded posterior on wa in the CPL model.

  56. MUSE Imaging Spectroscopy of the Fullerene Planetary Nebula Tc 1

    astro-ph.SR 2026-06 unverdicted novelty 6.0

    MUSE observations of Tc 1 map structured extinction, Te, and Ne, revealing a low-extinction annulus outside the main fullerene zone that is interpreted as evidence for locally altered dust properties in the core-halo ...

  57. SMR: Scheduler with Multi-Channel Map-Encoded Reinforcement Learning for Radio Telescopes

    astro-ph.IM 2026-06 unverdicted novelty 6.0

    SMR uses multi-channel map-encoded reinforcement learning to achieve roughly 10% better time utilization than greedy baselines for single-dish radio telescope scheduling.

  58. An Agnostic Machine Learning Model of Photosynthetic Habitability

    astro-ph.EP 2026-06 unverdicted novelty 6.0

    An agnostic model using genetic algorithm optimization predicts photosynthetic viability declines linearly with orbital distance, expanding the photosynthetic habitable zone for M, K, and G stars beyond Earth-centric ...

  59. Wedge-avoidance Fisher Forecasts for Primordial Non-Gaussianity from Dark-Ages 21-cm Power Spectrum and Bispectrum

    astro-ph.CO 2026-06 unverdicted novelty 6.0

    A wedge-aware Fisher framework is introduced to forecast PNG constraints from Dark Ages 21-cm power spectrum and bispectrum, demonstrating significantly weaker bounds due to mode loss in two oscillatory inflation models.

  60. Wave-optics imprints of dark matter subhalos on strongly lensed gravitational waves. II. Saddle images and detectability

    astro-ph.CO 2026-06 unverdicted novelty 6.0

    Subhalos produce percent-level modulations in saddle and minimum images; matched-filter analysis yields >5σ combined detections in 62% of realizations for fiducial sources near caustics, projecting 10-20 substructure ...

Reference graph

Works this paper leans on

94 extracted references · 94 canonical work pages · cited by 255 Pith papers · 3 internal anchors

  1. [1]

    , " * write output.state after.block = add.period write newline

    ENTRY address archivePrefix author booktitle chapter doi edition editor eprint howpublished institution journal key month number organization pages publisher school series title misctitle type volume year version url label extra.label sort.label short.list INTEGERS output.state before.all mid.sentence after.sentence after.block FUNCTION init.state.consts ...

  2. [2]

    write newline

    " write newline "" before.all 'output.state := FUNCTION format.url url empty "" new.block "" url * "" * if FUNCTION format.eprint eprint empty "" archivePrefix empty "" archivePrefix "arXiv" = new.block " " eprint * " " * new.block " " eprint * " " * if if if FUNCTION format.doi doi empty "" " " doi * " " * if FUNCTION format.pid doi empty eprint empty ur...

  3. [3]

    v+R. " "

    thebibliography [1] 20pt to REFERENCES 6pt =0pt -12pt 10pt plus 3pt =0pt =0pt =1pt plus 1pt =0pt =0pt -12pt =13pt plus 1pt =20pt =13pt plus 1pt \@M =10000 =-1.0em =0pt =0pt 0pt =0pt =1.0em @enumiv\@empty 10000 10000 `\.\@m \@noitemerr \@latex@warning Empty `thebibliography' environment \@ifnextchar \@reference \@latexerr Missing key on reference command E...

  4. [4]

    2015, TensorFlow : Large-Scale Machine Learning on Heterogeneous Systems

    Abadi, M., Agarwal, A., Barham, P., et al. 2015, TensorFlow : Large-Scale Machine Learning on Heterogeneous Systems. https://www.tensorflow.org/

  5. [5]

    2021, Astropy Proposal for Enhancement 0: The Astropy Project Governance Charter (APE 0) , 10.5281/zenodo.4552791

    Aldcroft , T., Craig , M., Cruz , K., et al. 2021, Astropy Proposal for Enhancement 0: The Astropy Project Governance Charter (APE 0) , 10.5281/zenodo.4552791

  6. [6]

    F., Charlot , P., Feissel , M., & Lestrade , J

    Arias , E. F., Charlot , P., Feissel , M., & Lestrade , J. F. 1997, IERS Technical Note, 23, IV

  7. [7]

    2022, asdf-astropy -- ASDF serialization support for astropy , https://github.com/astropy/asdf-astropy

    asdf-astropy developers. 2022, asdf-astropy -- ASDF serialization support for astropy , https://github.com/astropy/asdf-astropy

  8. [8]

    P., Tollerud, E

    Astropy Collaboration , Robitaille , T. P., Tollerud , E. J., et al. 2013, , 558, A33, 10.1051/0004-6361/201322068

  9. [9]

    The Astronomical Journal , author =

    Astropy Collaboration , Price-Whelan , A. M., Sip o cz , B. M., et al. 2018, , 156, 123, 10.3847/1538-3881/aabc4f

  10. [10]

    F., Guelton, S., & Mohanan, A

    Augier, P., Bolz-Tereick, C. F., Guelton, S., & Mohanan, A. V. 2021, Nature Astronomy, 5, 334, 10.1038/s41550-021-01342-y

  11. [11]

    2018, HENDRICS: High ENergy Data Reduction Interface from the Command Shell , Astrophysics Source Code Library, record ascl:1805.019

    Bachetti , M. 2018, HENDRICS: High ENergy Data Reduction Interface from the Command Shell , Astrophysics Source Code Library, record ascl:1805.019. 1805.019

  12. [12]

    2021, einsteinpy/einsteinpy: EinsteinPy 0.4.0, v0.4.0, Zenodo, 10.5281/zenodo.4739508

    Bapat, S., Saha, R., Shivottam, J., et al. 2021, einsteinpy/einsteinpy: EinsteinPy 0.4.0, v0.4.0, Zenodo, 10.5281/zenodo.4739508

  13. [13]

    2014, sncosmo v0.4.2, 10.5281/zenodo.11938

    Barbary, K. 2014, sncosmo v0.4.2, 10.5281/zenodo.11938

  14. [14]

    2015, in Astronomical Society of the Pacific Conference Series, Vol

    Beaumont , C., Goodman , A., & Greenfield , P. 2015, in Astronomical Society of the Pacific Conference Series, Vol. 495, Astronomical Data Analysis Software an Systems XXIV (ADASS XXIV), ed. A. R. Taylor & E. Rosolowsky , 101

  15. [15]

    and Bradshaw, R

    Behnel, S., Bradshaw, R., Citro, C., et al. 2011, Computing in Science Engineering, 13, 31 , 10.1109/MCSE.2010.118

  16. [16]

    , eprint =

    Bennett , C. L., Bay , M., Halpern , M., et al. 2003, , 583, 1, 10.1086/345346

  17. [17]

    Astronomy and Computing , keywords =

    Beroiz, M., Cabral, J., & Sanchez, B. 2020, Astronomy and Computing, 32, 100384, https://doi.org/10.1016/j.ascom.2020.100384

  18. [18]

    2018, Physics of the Dark Universe, 22, 189, doi: 10.1016/j.dark.2018.11.002

    Birrer , S., & Amara , A. 2018, Physics of the Dark Universe, 22, 189, 10.1016/j.dark.2018.11.002

  19. [19]

    The Journal of Open Source Software , keywords =

    Birrer, S., Shajib, A. J., Gilman, D., et al. 2021, Journal of Open Source Software, 6, 3283, 10.21105/joss.03283

  20. [20]

    galpy: A Python Library for Galactic Dynamics

    Bovy , J. 2015, , 216, 29, 10.1088/0067-0049/216/2/29

  21. [21]

    2022 a , astropy/photutils: 1.4.0, 1.4.0, Zenodo, 10.5281/zenodo.6385735

    Bradley, L., Sipőcz, B., Robitaille, T., et al. 2022 a , astropy/photutils: 1.4.0, 1.4.0, Zenodo, 10.5281/zenodo.6385735

  22. [22]

    2022 b , astropy/regions: v0.6, v0.6, Zenodo, 10.5281/zenodo.6374572

    Bradley, L., Deil, C., Patra, S., et al. 2022 b , astropy/regions: v0.6, v0.6, Zenodo, 10.5281/zenodo.6374572

  23. [23]

    2018, Astronomy and Computing

    Cabral, J., S \'a nchez, B., Ramos, F., et al. 2018, Astronomy and Computing

  24. [24]

    B., S \'a nchez , B., Beroiz , M., et al

    Cabral , J. B., S \'a nchez , B., Beroiz , M., et al. 2017, Astronomy and Computing, 20, 140, 10.1016/j.ascom.2017.07.003

  25. [25]

    Cock, P. J. A., Antao, T., Chang, J. T., et al. 2009, Bioinformatics, 25, 1422, 10.1093/bioinformatics/btp163

  26. [26]

    2021, PlasmaPy, 0.6.0, Zenodo, 10.5281/zenodo.4602818

    Community, P., Everson, E., Stańczak, D., et al. 2021, PlasmaPy, 0.6.0, Zenodo, 10.5281/zenodo.4602818

  27. [27]

    W., Crawford , S

    Craig , M. W., Crawford , S. M., Deil , C., et al. 2015, ccdproc: CCD data reduction software , Astrophysics Source Code Library. 1510.007

  28. [28]

    M., Patil, A., Swinbank, J., & Tollerud, E

    Cruz, K., Günther, H. M., Patil, A., Swinbank, J., & Tollerud, E. 2022, Astropy Proposal for Enhancement 19: Distributing Astropy Project Funding (APE19) , 10.5281/zenodo.6312048

  29. [29]

    Deil et al., International Cosmic Ray Conference 301 766 (2017) (Preprint 1709.01751)

    Deil , C., Zanin , R., Lefaucheur , J., et al. 2017, ArXiv e-prints. 1709.01751

  30. [30]

    2021, spacetelescope/gwcs: GWCS 0.18.0, 0.18.0, Zenodo, 10.5281/zenodo.5800080

    Dencheva, N., Mumford, S., Cara, M., et al. 2021, spacetelescope/gwcs: GWCS 0.18.0, 0.18.0, Zenodo, 10.5281/zenodo.5800080

  31. [31]

    2007, in Astronomical Society of the Pacific Conference Series, Vol

    Doe , S., Nguyen , D., Stawarz , C., et al. 2007, in Astronomical Society of the Pacific Conference Series, Vol. 376, Astronomical Data Analysis Software and Systems XVI, ed. R. A. Shaw, F. Hill, & D. J. Bell , 543

  32. [32]

    2021, astropy/specutils: V1.5.0, v1.5.0, Zenodo, 10.5281/zenodo.5721652

    Earl, N., Tollerud, E., Jones, C., et al. 2021, astropy/specutils: V1.5.0, v1.5.0, Zenodo, 10.5281/zenodo.5721652

  33. [33]

    L., Rajul, et al

    ejeschke, Lim, P. L., Rajul, et al. 2017, ejeschke/ginga: Ginga v2.6.6, 10.5281/zenodo.1040969

  34. [34]

    2016, cluster-lensing: v0.1.2, v0.1.2, Zenodo, 10.5281/zenodo.51370

    Ford, J. 2016, cluster-lensing: v0.1.2, v0.1.2, Zenodo, 10.5281/zenodo.51370

  35. [35]

    W., Lang, D., & Goodman, J

    Foreman-Mackey , D., Hogg , D. W., Lang , D., & Goodman , J. 2013, , 125, 306, 10.1086/670067

  36. [36]

    The Journal of Open Source Software , keywords =

    Foreman-Mackey , D., Luger , R., Agol , E., et al. 2021, The Journal of Open Source Software, 6, 3285, 10.21105/joss.03285

  37. [37]

    2021, SpectraPy, 10.20371/inaf/sw/2021_00001

    Fumana, M. 2021, SpectraPy, 10.20371/inaf/sw/2021_00001

  38. [38]

    2011, PySpecKit: Python Spectroscopic Toolkit , Astrophysics Source Code Library

    Ginsburg , A., & Mirocha , J. 2011, PySpecKit: Python Spectroscopic Toolkit , Astrophysics Source Code Library. 1109.001

  39. [40]
  40. [41]

    2019, radio-astro-tools/spectral-cube: Release v0.4.5, v0.4.5 Zenodo, doi: 10.5281/zenodo.3558614

    Ginsburg, A., Koch, E., Robitaille, T., et al. 2019, radio-astro-tools/spectral-cube: Release v0.4.5, v0.4.5, Zenodo, 10.5281/zenodo.3558614

  41. [42]

    , keywords =

    Gomes-J \'u nior , A. R., Morgado , B. E., Benedetti-Rossi , G., et al. 2022, , 511, 1167, 10.1093/mnras/stac032

  42. [43]

    2014, PyVO: Python access to the Virtual Observatory , Astrophysics Source Code Library

    Graham , M., Plante , R., Tody , D., & Fitzpatrick , M. 2014, PyVO: Python access to the Virtual Observatory , Astrophysics Source Code Library. 1402.004

  43. [44]

    2015, Astronomy and Computing, 12, 240, 10.1016/j.ascom.2015.06.004

    Greenfield , P., Droettboom , M., & Bray , E. 2015, Astronomy and Computing, 12, 240, 10.1016/j.ascom.2015.06.004

  44. [45]

    M., Frost , J., & Theriault-Shay , A

    G \"u nther , H. M., Frost , J., & Theriault-Shay , A. 2017, , 154, 243, 10.3847/1538-3881/aa943b

  45. [46]

    R., Millman, K

    Harris , C. R., Millman , K. J., van der Walt , S. J., et al. 2020, , 585, 357, 10.1038/s41586-020-2649-2

  46. [47]

    2011, Scholarpedia, 6, 11404, 10.4249/scholarpedia.11404

    Hohenkerk , C. 2011, Scholarpedia, 6, 11404, 10.4249/scholarpedia.11404

  47. [48]

    Hunter, J. D. 2007, Computing In Science & Engineering, 9, 90, 10.1109/MCSE.2007.55

  48. [49]

    , keywords =

    Huppenkothen , D., Bachetti , M., Stevens , A. L., et al. 2019, , 881, 39, 10.3847/1538-4357/ab258d

  49. [50]

    doi:10.21105/joss.01393

    Huppenkothen, D., Bachetti, M., Stevens, A., et al. 2019, Journal of Open Source Software, 4, 1393, 10.21105/joss.01393

  50. [51]

    Zen- odo (2020)

    Jordahl, K., den Bossche, J. V., Fleischmann, M., et al. 2020, geopandas/geopandas: v0.8.1, v0.8.1, Zenodo, 10.5281/zenodo.3946761

  51. [52]

    A., & Mandel , E

    Joye , W. A., & Mandel , E. 2003, in Astronomical Society of the Pacific Conference Series, Vol. 295, Astronomical Data Analysis Software and Systems XII, ed. H. E. Payne , R. I. Jedrzejewski , & R. N. Hook , 489

  52. [53]

    2022, dokester/BayesicFitting: Version 3.0.0, v3.0.0, Zenodo, 10.5281/zenodo.5996693

    Kester, D., Mueller, M., & Todd. 2022, dokester/BayesicFitting: Version 3.0.0, v3.0.0, Zenodo, 10.5281/zenodo.5996693

  53. [54]

    Lightkurve Collaboration , Cardoso , J. V. d. M., Hedges , C., et al. 2018, Lightkurve: Kepler and TESS time series analysis in Python , Astrophysics Source Code Library. 1812.013

  54. [55]

    2022, legau/kanon: v0.6.1, v0.6.1, Zenodo, 10.5281/zenodo.6354163

    Léni. 2022, legau/kanon: v0.6.1, v0.6.1, Zenodo, 10.5281/zenodo.6354163

  55. [56]

    2018, astropy/astroscrappy: v1.0.5 Zenodo Release, v1.0.5, Zenodo, 10.5281/zenodo.1482019

    McCully, C., Crawford, S., Kovacs, G., et al. 2018, astropy/astroscrappy: v1.0.5 Zenodo Release, v1.0.5, Zenodo, 10.5281/zenodo.1482019

  56. [57]

    2010 a , in Proceedings of the 9th Python in Science Conference, ed

    McKinney, W. 2010 a , in Proceedings of the 9th Python in Science Conference, ed. S. van der Walt & J. Millman, 51 -- 56

  57. [58]

    Data Structures for Statistical Computing in Python

    McKinney, W. 2010 b , in P roceedings of the 9th P ython in S cience C onference, ed. S t\'efan van der W alt & J arrod M illman, 56 -- 61, 10.25080/Majora-92bf1922-00a

  58. [59]

    Meurer, C

    Meurer, A., Smith, C. P., Paprocki, M., et al. 2017, PeerJ Computer Science, 3, e103, 10.7717/peerj-cs.103

  59. [60]

    The Journal of Open Source Software , keywords =

    Mommert, M., p. Kelley, M. S., de Val-Borro, M., et al. 2019, Journal of Open Source Software, 4, 1426, 10.21105/joss.01426

  60. [61]

    M., Tollerud, E., Sip o cz, B., et al

    Morris, B. M., Tollerud, E., Sip o cz, B., et al. 2018, The Astronomical Journal, 155, 128. http://stacks.iop.org/1538-3881/155/i=3/a=128

  61. [62]

    B., & Tiesinga, E

    Newell, D. B., & Tiesinga, E. 2019, The international system of units ( SI ):, Tech. rep., 10.6028/nist.sp.330-2019

  62. [63]

    2022, agnpy, 0.1.8, Zenodo, 10.5281/zenodo.5932850

    Nigro, C., Sitarek, J., Gliwny, P., et al. 2022, agnpy, 0.1.8, Zenodo, 10.5281/zenodo.5932850

  63. [64]

    2022, gwastro/pycbc: v2.0.2 release of PyCBC, v2.0.2, Zenodo, 10.5281/zenodo.6324278

    Nitz, A., Harry, I., Brown, D., et al. 2022, gwastro/pycbc: v2.0.2 release of PyCBC, v2.0.2, Zenodo, 10.5281/zenodo.6324278

  64. [65]

    2021, arXiv e-prints, arXiv:2110.11097

    N \"o the , M., Kosack , K., Nickel , L., & Peresano , M. 2021, arXiv e-prints, arXiv:2110.11097. 2110.11097

  65. [66]

    Planck Collaboration , Ade , P. A. R., Aghanim , N., et al. 2016, , 594, A13, 10.1051/0004-6361/201525830

  66. [67]

    Planck 2018 results

    Planck Collaboration , Aghanim , N., Akrami , Y., et al. 2020, , 641, A6, 10.1051/0004-6361/201833910

  67. [68]

    Price-Whelan, A. M. 2017, The Journal of Open Source Software, 2, 10.21105/joss.00388

  68. [69]

    X., Tejos, N., Crighton, N., et al

    Prochaska, J. X., Tejos, N., Crighton, N., et al. 2017, linetools/linetools: Third Minor Release, 10.5281/zenodo.1036773

  69. [70]

    2018, reproject: astronomical image reprojection in Python , 10.5281/zenodo.1162674

    Robitaille, T. 2018, reproject: astronomical image reprojection in Python , 10.5281/zenodo.1162674

  70. [71]

    doi:10.5281/zenodo.2567476 , url =

    ---. 2019, APLpy v2.0: The Astronomical Plotting Library in Python , 10.5281/zenodo.2567476

  71. [72]

    2019, glueviz v0.15.2: multidimensional data exploration, 0.15.2, Zenodo, 10.5281/zenodo.3385920

    Robitaille, T., Beaumont, C., Qian, P., Borkin, M., & Goodman, A. 2019, glueviz v0.15.2: multidimensional data exploration, 0.15.2, Zenodo, 10.5281/zenodo.3385920

  72. [73]

    2012, APLpy: Astronomical Plotting Library in Python , Astrophysics Source Code Library

    Robitaille , T., & Bressert , E. 2012, APLpy: Astronomical Plotting Library in Python , Astrophysics Source Code Library. 1208.017

  73. [74]

    F., Lotz, J

    Rodriguez-Gomez , V., Snyder , G. F., Lotz , J. M., et al. 2019, , 483, 4140, 10.1093/mnras/sty3345

  74. [75]

    Rodríguez, J. L. C., Hidalgo, A., Márquez, A. L., et al. 2017, poliastro/poliastro: poliastro 0.8.0 (OSCW edition) , 10.5281/zenodo.1058988

  75. [76]

    H., Bunclark , P

    Rots , A. H., Bunclark , P. S., Calabretta , M. R., et al. 2015, , 574, A36, 10.1051/0004-6361/201424653

  76. [77]

    and Fonnesbeck, Christopher , title =

    Salvatier, J., Wiecki, T. V., & Fonnesbeck, C. 2016, PeerJ Computer Science, 2, e55, 10.7717/peerj-cs.55

  77. [78]

    Gruppuso, F

    Sch \"o nrich , R., Binney , J., & Dehnen , W. 2010, , 403, 1829, 10.1111/j.1365-2966.2010.16253.x

  78. [79]

    2017, imexam version 0.8.0 release, 10.5281/zenodo.1042809

    Sosey, M. 2017, imexam version 0.8.0 release, 10.5281/zenodo.1042809

  79. [80]

    N., Verde, L., Peiris, H

    Spergel , D. N., Verde , L., Peiris , H. V., et al. 2003, , 148, 175, 10.1086/377226

  80. [81]

    doi:10.1086/513700 , Eprint =

    Spergel , D. N., Bean , R., Dor \'e , O., et al. 2007, , 170, 377, 10.1086/513700

Showing first 80 references.