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arxiv: 2606.28645 · v1 · pith:OLHRTSJYnew · submitted 2026-06-26 · 🌌 astro-ph.IM · astro-ph.HE· astro-ph.SR

GOATS: The next generation software infrastructure for time-domain astronomy at Gemini/NOIRLab. Application to alerts from Vera C. Rubin Observatory's Legacy Survey of Space and Time

Monika Soraisam , Louis Avner , Miguel G\'omez , William Vacca , Bryan Miller , Andrew Stephens , Arturo N\'u\~nez , Andrew Adamson
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C\'esar Brice\~no Hern\'an Chacana Guillermo Damke Nicol\'as Esquivel Paul Hirst Kathleen Labrie Thomas Matheson Chadd Myers Robert Nikutta Abhijit Saha Chris Simpson Olesja Smirnova D. J. Teal Sergio Troncoso James Turner Sebasti\'an Vicencio Hubert Condoretti Scott Dahm T\'omas Ahumada Eric Bellm Robert Blum Aleksandar Cikota Hannah Crayton Diego G\'omez Melissa Graham Stephen Heathcote Leanne Guy Fredrik Rantakyr\"o Kevin Reil Rachel Street Sandrine Thomas Sim\'on Torres Kathy Vivas
This is my paper

Pith reviewed 2026-06-30 00:22 UTC · model grok-4.3

classification 🌌 astro-ph.IM astro-ph.HEastro-ph.SR
keywords time-domain astronomymultimessenger astronomyalert brokersGemini ObservatoryLSST alertssupernova classificationdata reductionobservation triggering
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The pith

GOATS integrates ANTARES, Gemini triggering, DRAGONS, and Astro Data Lab into one platform for real-time follow-up of Rubin LSST alerts.

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

The paper introduces GOATS as an end-to-end software system that combines alert selection, observation triggering, data retrieval, reduction, and analysis for time-domain astronomy. It addresses the previous requirement to manually connect multiple separate tools and interfaces by linking services from Gemini Observatory and NSF NOIRLab. The system is shown working through an actual demonstration that selected LSST supernova alerts, triggered observations within minutes, obtained spectra, and classified the targets as Type Ia, IIP, or Ib/c events at redshifts 0.05 to 0.35. A reader would care because the unification removes repetitive manual steps and lets attention stay on interpreting the astrophysical results rather than managing software handoffs.

Core claim

GOATS unifies the MMA/TDA follow-up workflow by integrating ANTARES alert broker, Gemini triggering, automated archive retrieval, DRAGONS reduction, and Astro Data Lab analysis into a single platform, demonstrated by real-time selection and classification of Rubin/LSST supernova alerts.

What carries the argument

The GOATS platform, which serves as the single interface layer connecting alert streams, observatory triggering, archive access, data reduction, and science analysis services.

If this is right

  • Observations can be triggered at Gemini within minutes of an LSST alert detection.
  • Spectra of transients can be reduced and classified without switching between separate tools.
  • Repetitive tasks are automated so effort shifts to scientific interpretation of results.
  • The same interface supports triggering at other facilities in the Astronomical Event Observatory Network.

Where Pith is reading between the lines

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

  • The same integration pattern could be replicated at additional observatories to widen access to rapid-response observations.
  • Handling larger volumes of LSST alerts would test whether the real-time connections remain stable at scale.
  • The platform may enable faster studies of short-lived events such as kilonovae by shortening the interval from detection to classification.

Load-bearing premise

The separate NOIRLab and Gemini services can be connected to run together reliably in real time without failures, data loss, or repeated manual intervention.

What would settle it

A live LSST alert that is selected in GOATS but produces a failed trigger, missing archive data, or broken reduction pipeline due to integration breakdown.

Figures

Figures reproduced from arXiv: 2606.28645 by Abhijit Saha, Aleksandar Cikota, Andrew Adamson, Andrew Stephens, Arturo N\'u\~nez, Bryan Miller, C\'esar Brice\~no, Chadd Myers, Chris Simpson, Diego G\'omez, D. J. Teal, Eric Bellm, Fredrik Rantakyr\"o, Guillermo Damke, Hannah Crayton, Hern\'an Chacana, Hubert Condoretti, James Turner, Kathleen Labrie, Kathy Vivas, Kevin Reil, Leanne Guy, Louis Avner, Melissa Graham, Miguel G\'omez, Monika Soraisam, Nicol\'as Esquivel, Olesja Smirnova, Paul Hirst, Rachel Street, Robert Blum, Robert Nikutta, Sandrine Thomas, Scott Dahm, Sebasti\'an Vicencio, Sergio Troncoso, Sim\'on Torres, Stephen Heathcote, Thomas Matheson, T\'omas Ahumada, William Vacca.

Figure 1
Figure 1. Figure 1: Schematic of the Astronomical Event Observatory Network (AEON), which is a collection of world-class facilities, including those of NOIRLab (a founding partner of AEON), for efficient follow-up of MMA/TDA events. Image credit: NOIR￾Lab/NSF/AURA/P. Marenfeld. Proposal preparation (PIT + ETC) Observation setup (OT) Observation Gemini Observatory Archive Data reduction DRAGONS Science [PITH_FULL_IMAGE:figure… view at source ↗
Figure 2
Figure 2. Figure 2: Various interfaces that a user needs to interact with in order to plan, gather and reduce Gemini observation data [PITH_FULL_IMAGE:figures/full_fig_p003_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Time-domain and multi-messenger astronomy follow-up services integrated by GOATS [PITH_FULL_IMAGE:figures/full_fig_p005_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Schematic of GOATS, showing both existing and newly developed tools and data connections supporting follow-up observations with Gemini, thereby increasing efficiency and lowering the entry barrier. Users can send target information directly from the ANTARES broker portal, trigger Gemini observations, retrieve data from the Gemini Observatory Archive, and perform interactive data reduction with DRAGONS and … view at source ↗
Figure 5
Figure 5. Figure 5: Flowchart showing the typical workflow in GOATS for Gemini observations. The workflow is similar for other supported AEON facilities. Note that the pathway for adding an existing observation (right-hand branch at the second node) will also be especially useful for non-TDA sci￾ence applications, including archival work. vation configuration as well as receiving observa￾tion status (Section 2.2). GOATS can a… view at source ↗
Figure 6
Figure 6. Figure 6: Left: ANTARES portal displaying controls for its available functionalities. Right: Query form rendered by the ANTARES TOM-Toolkit plugin, tom-antares. GOATS further allows users to submit discovery and/or classification information directly from the tar￾get detail page to TNS (see [PITH_FULL_IMAGE:figures/full_fig_p007_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Top: Enhanced target selection capability implemented in GOATS using a browser extension to the ANTARES portal, with the additional option to use Elastic Search queries. Bottom: GOATS admin page for managing authentication to various services, including generating the token required to authenticate the antares2goats extension [PITH_FULL_IMAGE:figures/full_fig_p008_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: Credential management page for (a) Gemini Observatory Archive, (b) Transient Name Server (TNS), and (c) Las Cumbres API key. The latter is used by both SOAR and Blanco facilities. Users can navigate to these pages by clicking the corresponding service in the menu under Credential Manager of GOATS (see bottom panel of [PITH_FULL_IMAGE:figures/full_fig_p009_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: Left: Example target detail page on GOATS. The tabs to the right of the target name provide access to a variety of operations – Observe allows users to trigger observations on AEON facilities; Observations displays and allows users to add existing observations of the target from supported facilities; Manage Data enables management of data collected for the target; Manage Groups lists and allows users to ed… view at source ↗
Figure 10
Figure 10. Figure 10: Facility status page in GOATS. Users can access this page under the Observations tab in the top navigation bar to view the real-time operational status of both Gemini telescopes as well as other AEON facilities. GOATS is a lite version of the observation creation page in Explore, but covers all the fields relevant for ToO trig￾gering so users do not need to leave the GOATS inter￾face. Once triggered, GPP … view at source ↗
Figure 11
Figure 11. Figure 11: Page to submit an observation to Gemini using its new OCS, i.e., Gemini Program Platform. Users can navigate to this page by clicking GEM under Observe in the target detail page (see [PITH_FULL_IMAGE:figures/full_fig_p012_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: Page to submit an observation to Las Cumbres. The observation triggering page for SOAR and Blanco look similar. Users can navigate to this page by clicking LCO under Observe in the target detail page (see [PITH_FULL_IMAGE:figures/full_fig_p013_12.png] view at source ↗
Figure 13
Figure 13. Figure 13: Left: Observations page for a given target in GOATS, which lists all the observations on GOATS associated with the target. Here users can also add existing Gemini observations of the target, either manually or automatically using the Fetch from GOA button, and also obtain the status of the observation (shown here as Observed) by pressing the Update Observations Status button. Right: Observation detail pag… view at source ↗
Figure 14
Figure 14. Figure 14: Left: Setup page for configuring a new DRAGONS reduction session in GOATS for a given Gemini observation ID. Right: DRAGONS reduction page for a selected reduction session in the GOATS portal, highlighting features designed to make the reduction more user-friendly. These include automated sorting of files into observation types, access to all available reduction recipes, and tools for further grouping and… view at source ↗
Figure 15
Figure 15. Figure 15: Left: Astro Data Lab (DL) page on GOATS. By simply clicking, users can launch DL directly from GOATS. Right: The Manage Data page for a given target on GOATS provides an option (under the Actions button for a given file) to transfer data to the user’s DL account. This page aggregates all data available for the target [PITH_FULL_IMAGE:figures/full_fig_p017_15.png] view at source ↗
Figure 16
Figure 16. Figure 16: Left: Photometry visualization page for a given target in GOATS, displaying its light curve ingested from ANTARES. Right: Spectroscopy visualization page in GOATS, showing the DRAGONS-reduced spectrum from GMOS R400 grating data for SN 2023ixf, obtained as part of observation ID GN-2023A-DD-105-65 (PI: Lotz). can be accessed at https://github.com/gemini-hlsw/ goats. We have also made several contributions… view at source ↗
Figure 17
Figure 17. Figure 17: Summary of observations obtained for AT 2026hnt, which was the first target selected and triggered during the NOIRLab end-to-end demonstration. The list shows the timestamp (under the column Created) when the observations were successfully triggered at various facilities and also the observation status (under the Status column). The number of fits files retrieved and saved for each observation are listed … view at source ↗
Figure 18
Figure 18. Figure 18: Follow-up data products for 2026nht. (a) Composite image showing 2026hnt and its host galaxy, created using its DECam follow-up data taken on 2026-02-19 UT (north is up and east is to the left). (b) Rubin/LSST light curve of 2026hnt; the vertical dotted line marks the first night of NOIRLab’s end-to-end run when follow-up data were gathered using GOATS. (c) Follow-up spectra of 2026hnt obtained with vario… view at source ↗
Figure 19
Figure 19. Figure 19: (a) Composite image showing 2026hob and its host galaxy, created using the DECam follow-up data taken on 2026-02-19 UT (north is up and east is to the left). (b) Rubin/LSST light curve of 2026hob; the vertical dotted line marks the epoch (2026-02-19 UT) when follow-up data were gathered using GOATS as part of the NOIRLab end-to-end campaign. (c) Follow-up spectrum of 2026hob obtained with SOAR is shown in… view at source ↗
Figure 20
Figure 20. Figure 20: (a) Rubin/LSST light curve of 2026eio; the vertical dotted line marks the epoch (2026-02-19 UT) when follow-up data were gathered using GOATS. (b) Follow-up spectrum of 2026eio obtained with Gemini. Although follow-up imaging data were obtained with Las Cumbres 1-m Sinistro for this target, it was not detected in the images as they were too shallow. (c) Archival PanSTARRS color image cutout (30′′ field-of… view at source ↗
Figure 21
Figure 21. Figure 21: (a) Composite image showing 2026dmz and its host galaxy, created using the DECam follow-up data taken on 2026-02-20 UT (north is up and east is to the left). (b) Rubin/LSST light curve of 2026dmz; the vertical dotted line marks the epoch (2026-02-20 UT) when follow-up data were gathered using GOATS. (c) Follow-up spectrum of 2026dmz obtained with SOAR (blue) and the best-matching template spectrum (supern… view at source ↗
Figure 22
Figure 22. Figure 22: (a) Rubin/LSST light curve of 2026eil; the vertical dotted line marks the epoch (2026-02-20 UT) when follow-up data were gathered using GOATS. (b) Follow-up spectrum of 2026eil obtained with Gemini (blue), overplotted with the best-matching template of supernova Type Ia SN2007kk from SNID (red). No follow-up imaging data was obtained for this target. (c) Archival PanSTARRS color image cutout (30′′ field-o… view at source ↗
Figure 23
Figure 23. Figure 23: (a) Rubin/LSST light curve of 2026ctw; the vertical dotted line marks the epoch (2026-02-20 UT) when follow-up data were gathered using GOATS. (b) Follow-up spectrum of 2026ctw obtained with Gemini (blue) and the best-matching template of supernova Type Ia SN1998dx from SNID (red). No follow-up imaging data was obtained for this target. (c) Archival PanSTARRS color image cutout (60′′ field-of-view) showin… view at source ↗
read the original abstract

Time-domain and multimessenger astronomy (MMA/TDA) targets demand rapid-response follow-up observations. In many cases, it is the only way to make discoveries and advance our understanding of the astrophysical phenomena, for example, kilonovae accompanying gravitational waves from compact object mergers, shock breakout in supernovae, prompt emission from GRBs, etc. Presently the MMA/TDA follow-up workflow requires wrangling disparate software packages and user interfaces. We present an end-to-end software tool for the community, the Gemini Observation and Analysis of Targets System (GOATS), which unifies and simplifies the workflow, particularly for Gemini follow-up observations. GOATS achieves this by integrating services from Gemini Observatory and its parent organization, NSF NOIRLab. From a single platform, GOATS enables enhanced target selection via NOIRLab's ANTARES alert broker, triggering of Gemini (and other facilities within the Astronomical Event Observatory Network), automated data retrieval from the Gemini Observatory Archive, and interactive data reduction and analysis through Gemini's DRAGONS software and NOIRLab's Astro Data Lab science platform. GOATS was successfully deployed in an end-to-end demonstration of real-time follow-up of Rubin/LSST alerts with NOIRLab facilities. As part of this demonstration, we selected targets from the Rubin alert stream and triggered follow-up observations within minutes of the Rubin detections. We obtained spectra for several targets and classified them as supernova of various types (Ia, IIP, Ib/c) with redshifts ranging from 0.05 to 0.35. By eliminating the need to manually connect tools and automating repetitive tasks, GOATS lowers the entry barrier and allows users to focus on the scientific interpretation of the observation results.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

3 major / 0 minor

Summary. The manuscript presents the Gemini Observation and Analysis of Targets System (GOATS) as an integrated software platform that unifies ANTARES alert selection, Gemini (and AEN) triggering, automated archive retrieval, DRAGONS reduction, and Astro Data Lab analysis for rapid MMA/TDA follow-up. It claims a successful real-time end-to-end demonstration on Rubin/LSST alerts, with targets selected and observed within minutes, yielding spectra classified as supernovae (Ia, IIP, Ib/c) at redshifts 0.05–0.35.

Significance. If the claimed integration functions reliably and reproducibly, GOATS would meaningfully reduce the manual overhead of coordinating multiple NOIRLab/Gemini services, lowering the barrier for community follow-up of transients. The described demonstration outcomes indicate potential operational value for LSST-era response. However, the complete absence of any technical description or metrics in the manuscript prevents assessment of whether these benefits are realized.

major comments (3)
  1. [Abstract] Abstract: The manuscript asserts that GOATS 'was successfully deployed in an end-to-end demonstration of real-time follow-up' with specific outcomes (targets selected, observations triggered within minutes, spectra obtained and classified). No architecture, data-flow description, API connections, error-handling strategy, or validation steps are provided, making it impossible to evaluate the central claim that disparate services operated reliably without significant failures or manual intervention.
  2. [Abstract] Abstract: No quantitative metrics are reported for the demonstration, such as end-to-end latency distributions, fraction of steps completed automatically, failure rates, or instances requiring human intervention. This absence directly undermines assessment of the weakest assumption that the integrated services function reliably in real time.
  3. [Abstract] Abstract: The claim that GOATS 'eliminates the need to manually connect tools and automates repetitive tasks' is presented without any workflow examples, user-interface description, or evidence that the automation was tested end-to-end on the cited Rubin alerts.

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for their review. We agree that the abstract is high-level and lacks sufficient technical detail and metrics to fully support its claims. We will revise the abstract to address these points while preserving its brevity; the full manuscript expands on the system in later sections.

read point-by-point responses

  1. Referee: [Abstract] Abstract: The manuscript asserts that GOATS 'was successfully deployed in an end-to-end demonstration of real-time follow-up' with specific outcomes (targets selected, observations triggered within minutes, spectra obtained and classified). No architecture, data-flow description, API connections, error-handling strategy, or validation steps are provided, making it impossible to evaluate the central claim that disparate services operated reliably without significant failures or manual intervention.

    Authors: We agree the abstract provides no such technical description. We will revise the abstract to include a concise statement on the integrated components (ANTARES, triggering, archive access, DRAGONS, Astro Data Lab) and note that end-to-end validation occurred via the reported Rubin alert demonstration. revision: yes

  2. Referee: [Abstract] Abstract: No quantitative metrics are reported for the demonstration, such as end-to-end latency distributions, fraction of steps completed automatically, failure rates, or instances requiring human intervention. This absence directly undermines assessment of the weakest assumption that the integrated services function reliably in real time.

    Authors: We agree that quantitative metrics are absent from the abstract. We will revise the abstract to report available demonstration metrics (e.g., triggering within minutes of detection, spectra obtained and classified for multiple targets at z=0.05–0.35) and indicate the level of automation achieved. revision: yes

  3. Referee: [Abstract] Abstract: The claim that GOATS 'eliminates the need to manually connect tools and automates repetitive tasks' is presented without any workflow examples, user-interface description, or evidence that the automation was tested end-to-end on the cited Rubin alerts.

    Authors: We agree the abstract offers no workflow examples or UI details to support the automation claim. We will revise the abstract to briefly reference the unified platform and cite the successful real-time Rubin alert follow-up as the end-to-end test evidence. revision: yes

Circularity Check

0 steps flagged

No circularity: descriptive software demonstration with no derivations or fitted quantities

full rationale

The paper presents a descriptive account of the GOATS software platform and its deployment in a real-time demonstration of Rubin/LSST alert follow-up. The abstract and available text contain no equations, predictions, fitted parameters, uniqueness theorems, or derivation chains of any kind. The central claim is an assertion of successful integration and automation, supported only by high-level outcomes (targets selected, observations triggered, spectra classified). No load-bearing step reduces to its own inputs by construction, self-citation, or renaming; the enumerated circularity patterns do not apply. This is a normal non-finding for a software/infrastructure paper.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

This is a software infrastructure paper with no mathematical derivations or physical models.

pith-pipeline@v0.9.1-grok · 6030 in / 1186 out tokens · 51077 ms · 2026-06-30T00:22:39.787164+00:00 · methodology

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Reference graph

Works this paper leans on

48 extracted references · 40 canonical work pages · 2 internal anchors

  1. [1]

    G., Abbasi, R., Ackermann, M., et al

    Aartsen, M. G., Abbasi, R., Ackermann, M., et al. 2021, Journal of Physics G Nuclear Physics, 48, 060501, doi: 10.1088/1361-6471/abbd48

    work page doi:10.1088/1361-6471/abbd48 2021

  2. [2]

    , archivePrefix = "arXiv", eprint =

    Abbott, B. P., Abbott, R., Abbott, T. D., et al. 2017, ApJL, 848, L12, doi: 10.3847/2041-8213/aa91c9

    work page doi:10.3847/2041-8213/aa91c9 2017

  3. [3]

    2023, Living Reviews in Relativity, 26, 2, doi: 10.1007/s41114-022-00041-y

    Amaro-Seoane, P., Andrews, J., Arca Sedda, M., et al. 2023, Living Reviews in Relativity, 26, 2, doi: 10.1007/s41114-022-00041-y

    work page doi:10.1007/s41114-022-00041-y 2023

  4. [4]

    Characterizing the V-band light-curves of hydrogen-rich type II supernovae

    Anderson, J. P., Gonz´ alez-Gait´ an, S., Hamuy, M., et al. 2014, ApJ, 786, 67, doi: 10.1088/0004-637X/786/1/67 Astropy Collaboration, Robitaille, T. P., Tollerud, E. J., et al. 2013, A&A, 558, A33, doi: 10.1051/0004-6361/201322068 Astropy Collaboration, Price-Whelan, A. M., Sip˝ ocz, B. M., et al. 2018, AJ, 156, 123, doi: 10.3847/1538-3881/aabc4f Astropy...

    work page Pith review doi:10.1088/0004-637x/786/1/67 2014

  5. [5]

    PASP , author =

    Bellm, E. C., Kulkarni, S. R., Graham, M. J., et al. 2019, PASP, 131, 018002, doi: 10.1088/1538-3873/aaecbe

    work page doi:10.1088/1538-3873/aaecbe 2019

  6. [6]

    K., Berger, E., Fong, W., et al

    Blanchard, P. K., Berger, E., Fong, W., et al. 2017, ApJL, 848, L22, doi: 10.3847/2041-8213/aa9055 28 https://lco.global/tomtoolkit/tom-team/

    work page doi:10.3847/2041-8213/aa9055 2017

  7. [7]

    Blondin, S., & Tonry, J. L. 2007, ApJ, 666, 1024, doi: 10.1086/520494

    work page doi:10.1086/520494 2007

  8. [8]

    CHIME/FRB Collaboration et al.ApJS, 257(2):59, December

    Brazier, A. 2021, in American Astronomical Society Meeting Abstracts, Vol. 53, American Astronomical Society Meeting Abstracts, 146.03 CHIME Collaboration, Amiri, M., Bandura, K., et al. 2022, ApJS, 261, 29, doi: 10.3847/1538-4365/ac6fd9

    work page doi:10.3847/1538-4365/ac6fd9 2021

  9. [9]

    2017, ApJL, 848, L19, doi: 10.3847/2041-8213/aa905c

    Chornock, R., Berger, E., Kasen, D., et al. 2017, ApJL, 848, L19, doi: 10.3847/2041-8213/aa905c

    work page doi:10.3847/2041-8213/aa905c 2017

  10. [10]

    2024, Frontiers in Astronomy and Space Sciences, 11, 1386748, doi: 10.3389/fspas.2024.1386748

    Corsi, A., Barsotti, L., Berti, E., et al. 2024, Frontiers in Astronomy and Space Sciences, 11, 1386748, doi: 10.3389/fspas.2024.1386748

    work page doi:10.3389/fspas.2024.1386748 2024

  11. [11]

    W., Bloom, J

    Coughlin, M. W., Bloom, J. S., Nir, G., et al. 2023, ApJS, 267, 31, doi: 10.3847/1538-4365/acdee1

    work page doi:10.3847/1538-4365/acdee1 2023

  12. [12]

    2026, Jdaviz, v5.0.0 Zenodo, doi: 10.5281/zenodo.19599318

    Developers, J., Averbukh, J., Bradley, L., et al. 2026, Jdaviz, v5.0.0 Zenodo, doi: 10.5281/zenodo.19599318

    work page doi:10.5281/zenodo.19599318 2026

  13. [13]

    Science , archivePrefix = "arXiv", eprint =

    Dilday, B., Howell, D. A., Cenko, S. B., et al. 2012, Science, 337, 942, doi: 10.1126/science.1219164

    work page doi:10.1126/science.1219164 2012

  14. [14]

    J., Olsen, K., Economou, F., et al

    Fitzpatrick, M. J., Olsen, K., Economou, F., et al. 2014, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 9149, Observatory Operations: Strategies, Processes, and Systems V, ed. A. B. Peck, C. R. Benn, & R. L. Seaman, 91491T, doi: 10.1117/12.2057445

    work page doi:10.1117/12.2057445 2014

  15. [15]

    2024, AJ, 168, 186, doi: 10.3847/1538-3881/ad70b1 GOATS: Gemini Observation and Analysis of Targets System33

    Fu, S., Matheson, T., Meisner, A., et al. 2024, AJ, 168, 186, doi: 10.3847/1538-3881/ad70b1 GOATS: Gemini Observation and Analysis of Targets System33

    work page doi:10.3847/1538-3881/ad70b1 2024

  16. [16]

    J., Bloemen, S., Vreeswijk, P., et al

    Groot, P. J., Bloemen, S., Vreeswijk, P., et al. 2024, arXiv e-prints, arXiv:2405.18923, doi: 10.48550/arXiv.2405.18923

    work page doi:10.48550/arxiv.2405.18923 2024

  17. [17]

    J., Hu, L., Palmese, A., et al

    Hall, X. J., Hu, L., Palmese, A., et al. 2026, Transient Name Server Discovery Report, 2026-571, 1

    2026

  18. [18]

    H., Pfahler, P., Pastorello, A., et al

    Harutyunyan, A. H., Pfahler, P., Pastorello, A., et al. 2008, A&A, 488, 383, doi: 10.1051/0004-6361:20078859

    work page doi:10.1051/0004-6361:20078859 2008

  19. [19]

    2016, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol

    Hirst, P., & Cardenes, R. 2016, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 9913, Software and Cyberinfrastructure for Astronomy IV, ed. G. Chiozzi & J. C. Guzman, 99131E, doi: 10.1117/12.2231833

    work page doi:10.1117/12.2231833 2016

  20. [20]

    C., et al

    Hosseinzadeh, G., Paterson, K., Rastinejad, J. C., et al. 2024, ApJ, 964, 35, doi: 10.3847/1538-4357/ad2170

    work page doi:10.3847/1538-4357/ad2170 2024

  21. [21]

    Hunter, J. D. 2007, Computing in Science & Engineering, 9, 90, doi: 10.1109/MCSE.2007.55 Ivezi´ c,ˇZ., Kahn, S. M., Tyson, J. A., et al. 2019, ApJ, 873, 111, doi: 10.3847/1538-4357/ab042c

    work page doi:10.1109/mcse.2007.55 2007

  22. [22]

    O., Foley, R

    Jones, D. O., Foley, R. J., Narayan, G., et al. 2021, ApJ, 908, 143, doi: 10.3847/1538-4357/abd7f5

    work page doi:10.3847/1538-4357/abd7f5 2021

  23. [23]

    2023, Research Notes of the American Astronomical Society, 7, 214, doi: 10.3847/2515-5172/ad0044

    Labrie, K., Simpson, C., Cardenes, R., et al. 2023, Research Notes of the American Astronomical Society, 7, 214, doi: 10.3847/2515-5172/ad0044

    work page doi:10.3847/2515-5172/ad0044 2023

  24. [24]

    J., et al

    Law, C. J., Sharma, K., Ravi, V., et al. 2024, ApJ, 967, 29, doi: 10.3847/1538-4357/ad3736

    work page doi:10.3847/1538-4357/ad3736 2024

  25. [25]

    M., Corbett, H., Galliher, N

    Law, N. M., Corbett, H., Galliher, N. W., et al. 2022, PASP, 134, 035003, doi: 10.1088/1538-3873/ac4811

    work page doi:10.1088/1538-3873/ac4811 2022

  26. [26]

    , keywords =

    Matheson, T., Stubens, C., Wolf, N., et al. 2021, AJ, 161, 107, doi: 10.3847/1538-3881/abd703

    work page doi:10.3847/1538-3881/abd703 2021

  27. [27]

    M., et al

    McCully, C., Daily, M., Brandt, G. M., et al. 2022, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 12189, Software and Cyberinfrastructure for Astronomy VII, 1218914, doi: 10.1117/12.2630667

    work page doi:10.1117/12.2630667 2022

  28. [28]

    2021, The NOIRLab Mirror, 2, 33

    McManus, S., & Olsen, K. 2021, The NOIRLab Mirror, 2, 33

    2021

  29. [29]

    P., et al

    Modjaz, M., Blondin, S., Kirshner, R. P., et al. 2014, AJ, 147, 99, doi: 10.1088/0004-6256/147/5/99

    work page doi:10.1088/0004-6256/147/5/99 2014

  30. [30]

    doi:10.17226/26141 , adsurl =

    Murphey, C. T., Arunachalam, A., Nair, G., et al. 2026, Transient Name Server Discovery Report, 2026-783, 1 National Academies of Sciences, E., & Medicine. 2023, Pathways to Discovery in Astronomy and Astrophysics for the 2020s (Washington, DC: The National Academies Press), doi: 10.17226/26141

    work page doi:10.17226/26141 2026

  31. [31]

    Nikutta, R., Fitzpatrick, M., Scott, A., & Weaver, B. A. 2020, Astronomy and Computing, 33, 100411, doi: 10.1016/j.ascom.2020.100411

    work page doi:10.1016/j.ascom.2020.100411 2020

  32. [32]

    O., Ben-Ami, S., Polishook, D., et al

    Ofek, E. O., Ben-Ami, S., Polishook, D., et al. 2023, PASP, 135, 065001, doi: 10.1088/1538-3873/acd8f0 O’Mullane, W., Economou, F., Huang, F., et al. 2024, in Astronomical Society of the Pacific Conference Series, Vol. 535, Astronomical Data Analysis Software and Systems XXXI, ed. B. V. Hugo, R. Van Rooyen, & O. M. Smirnov, 227, doi: 10.48550/arXiv.2111.15030

    work page doi:10.1088/1538-3873/acd8f0 2023

  33. [33]

    2024, in American Astronomical Society Meeting Abstracts, Vol

    Pellegrino, C. 2024, in American Astronomical Society Meeting Abstracts, Vol. 243, American Astronomical Society Meeting Abstracts, 211.06

    2024

  34. [34]

    M., Arag´ on-Salamanca, A., Zaritsky, D., et al

    Poggianti, B. M., Arag´ on-Salamanca, A., Zaritsky, D., et al. 2009, ApJ, 693, 112, doi: 10.1088/0004-637X/693/1/112

    work page doi:10.1088/0004-637x/693/1/112 2009

  35. [35]

    2026, Transient Name Server Classification Report, 2026-772, 1

    Rose, S., Hinds, K., Fremling, C., et al. 2026, Transient Name Server Classification Report, 2026-772, 1

    2026

  36. [36]

    , keywords =

    Sahu, D. K., Anupama, G. C., Srividya, S., & Muneer, S. 2006, MNRAS, 372, 1315, doi: 10.1111/j.1365-2966.2006.10937.x

    work page doi:10.1111/j.1365-2966.2006.10937.x 2006

  37. [37]

    and others

    Shvartzvald, Y., Waxman, E., Gal-Yam, A., et al. 2024, ApJ, 964, 74, doi: 10.3847/1538-4357/ad2704

    work page doi:10.3847/1538-4357/ad2704 2024

  38. [38]

    2026b, Transient Name Server Discovery Report, 2026-1328, 1

    Soraisam, M., Miller, B., Adamson, A., et al. 2026b, Transient Name Server Discovery Report, 2026-1328, 1

    2026

  39. [39]

    Wide-Field InfrarRed Survey Telescope-Astrophysics Focused Telescope Assets WFIRST-AFTA 2015 Report

    Spergel, D., Gehrels, N., Baltay, C., et al. 2015, arXiv e-prints, arXiv:1503.03757, doi: 10.48550/arXiv.1503.03757

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.1503.03757 2015

  40. [40]

    A., Bowman, M., Saunders, E

    Street, R. A., Bowman, M., Saunders, E. S., & Boroson, T. 2018, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, Vol. 10707, Software and Cyberinfrastructure for Astronomy V, ed. J. C. Guzman & J. Ibsen, 1070711, doi: 10.1117/12.2312293

    work page doi:10.1117/12.2312293 2018

  41. [41]

    D., Bersten, M., et al

    Taddia, F., Stritzinger, M. D., Bersten, M., et al. 2018, A&A, 609, A136, doi: 10.1051/0004-6361/201730844 The 2023 Windows on the Universe Workshop White Paper Working Group, Ahumada, T., Andrews, J. E., et al. 2024, arXiv e-prints, arXiv:2401.02063, doi: 10.48550/arXiv.2401.02063

    work page doi:10.1051/0004-6361/201730844 2018

  42. [42]

    2026, Transient Name Server Discovery Report, 2026-693, 1

    Tonry, J., Denneau, L., Weiland, H., et al. 2026, Transient Name Server Discovery Report, 2026-693, 1

    2026

  43. [43]

    ATLAS: A High-Cadence All-Sky Survey System

    Tonry, J. L., Denneau, L., Heinze, A. N., et al. 2018, PASP, 130, 064505, doi: 10.1088/1538-3873/aabadf

    work page internal anchor Pith review doi:10.1088/1538-3873/aabadf 2018

  44. [44]

    2020, in Astronomical Society of the Pacific Conference Series, Vol

    Torres-Robledo, S., Brice˜ no, C., Quint, B., & Sanmartim, D. 2020, in Astronomical Society of the Pacific Conference Series, Vol. 522, Astronomical Data Analysis Software and Systems XXVII, ed. P. Ballester, J. Ibsen, M. Solar, & K. Shortridge, 533

    2020

  45. [45]

    2014, in Astronomical Society of the Pacific Conference Series, Vol

    Valdes, F., Gruendl, R., & DES Project. 2014, in Astronomical Society of the Pacific Conference Series, Vol. 485, Astronomical Data Analysis Software and Systems XXIII, ed. N. Manset & P. Forshay, 379

    2014

  46. [46]

    M., et al

    Whitesides, L., Lunnan, R., Kasliwal, M. M., et al. 2017, ApJ, 851, 107, doi: 10.3847/1538-4357/aa99de 34Soraisam at al

    work page doi:10.3847/1538-4357/aa99de 2017

  47. [47]

    D., Tohuvavohu, A., Arcavi, I., et al

    Wyatt, S. D., Tohuvavohu, A., Arcavi, I., et al. 2020, ApJ, 894, 127, doi: 10.3847/1538-4357/ab855e

    work page doi:10.3847/1538-4357/ab855e 2020

  48. [48]

    2024, in What Was That? - Planning ESO Follow up for Transients, Variables, and Solar System Objects in the Era of LSST, 4, doi: 10.5281/zenodo.10571539

    Wyrzykowski, L. 2024, in What Was That? - Planning ESO Follow up for Transients, Variables, and Solar System Objects in the Era of LSST, 4, doi: 10.5281/zenodo.10571539

    work page doi:10.5281/zenodo.10571539 2024