Journey from construction to excellence: How operations management and scientific results power LAMOST forward astronomy

Abstract

The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST), widely recognized as the “King of Spectroscopy,” stands as a milestone in modern astronomical infrastructure. By overcoming the long-standing difficulty of integrating large aperture with wide field of view through its innovative active reflecting Schmidt configuration and 4,000-fiber system, LAMOST made large-scale spectroscopic surveys operationally feasible. Over 14 years of continuous observation, it has progressed from an engineering breakthrough to a globally influential scientific data platform. Supported by science-oriented governance, systematic operational management, automated data pipelines, and an open-access policy, LAMOST has released more than 28 million spectra, enabling major advances in Galactic structure and evolution, stellar astrophysics, and black hole studies. As it moves into the era of artificial intelligence and data-driven discovery, LAMOST demonstrates how technological innovation combined with effective management can sustain long-term scientific impact and leadership in major research facilities.

Graphical abstract

Keywords

LAMOST / spectroscopic survey / operation and management / open access and sharing / scientific output / galactic archaeology

1 Introduction

Gazing at the stars is humanity’s oldest scientific pursuit; deciphering the information encoded in starlight lies at the heart of modern astrophysics. Along this path, China has contributed a landmark facility: the Large Sky Area Multi-Object FiberSpec-troscopic Telescope (LAMOST) (Fig. 1). As China’s first Major National Astronomical Scientific Infrastructure, operated by the National Astronomical Observatories of the Chinese Academy of Sciences (NAOC), LAMOST represents an original engineering solution driven by scientific necessity rather than imitation.

Known as the “King of Spectroscopy,” LAMOST is a large-aperture, wide-field optical telescope equipped with 4,000 optical fibers, enabling simultaneous spectroscopic observations on an unprecedented scale. Since beginning its survey in 2011, it has operated stably for over a decade, pioneering large-scale spectroscopic surveys and establishing a distinctive path of independent innovation in astronomical instrumentation.

LAMOST addressed a long-standing global challenge: integrating large aperture with wide field of view in a single system. Under the leadership of Academicians Wang Shouguan and Su Dingqiang, Chinese scientists proposed the active reflecting Schmidt design, creating a “third path” in telescope engineering. By combining active optics, real-time mirror deformation for aberration correction, with an innovative structural configuration, LAMOST overcame constraints that had limited traditional designs.

Beyond its engineering achievement, LAMOST’s strategic value lies in establishing a large-scale public spectroscopic survey platform. By collecting spectra for millions of stars, it shifted astronomy from individual case studies to statistical population science, enabling a comprehensive census of the Milky Way’s structure, kinematics, and chemical evolution. LAMOST thus functions not merely as a telescope, but as a sustained spectral survey engine symbolizing self-reliant innovation.

Over the past decade, LAMOST has evolved from a technological breakthrough into a driver of scientific leadership. This transformation can be described in four phases.

Phase I: Technological Breakthrough: Enabling Massive Spectroscopic Observation.

LAMOST was conceived to overcome the scarcity of large-scale spectroscopic data. While imaging surveys cataloged billions of objects, only a small fraction had spectra. By combining large aperture, wide field, and 4,000 deployable fibers, LAMOST made massive spectroscopic surveys feasible and efficient.

Phase II: Data Infrastructure: From Instrument to Scientific Platform.

As tens of millions of spectra accumulated, LAMOST became one of the world’s largest spectroscopic archives. Automated pipelines, calibrated releases, and open databases transformed it from a telescope into a foundational research infrastructure, with scientific power rooted in its statistical scale.

Phase III: Scientific Discovery: Advancing Galactic Archaeology and Stellar Physics.

The unprecedented data set enabled major advances in understanding the Milky Way’s formation and evolution. LAMOST identified ancient stellar populations, traced disk formation, and discovered rare objects such as extremely metal-poor and hypervelocity stars, becoming a key driver of Galactic archeology.

Phase IV: The AI Era: Toward Intelligent Scientific Leadership.

Today, LAMOST is entering a new stage defined by artificial intelligence and integrated analysis. By combining its spectroscopic database with astrometric surveys such as Gaia and advanced AI techniques, it is evolving from a large data producer into an intelligent scientific system, shaping new paradigms of data-driven discovery in astronomy.

2 Technological innovation

Independently invented by Chinese scientists (Cui et al., 2012), LAMOST boasted multiple world-first technologies. It pioneered active optics technology for thin deformable mirrors and segmented mirrors globally, as well as the innovative parallel and controllable positioning technology for thousands of optical fibers—technologies that have been adopted by many large international telescopes.

LAMOST, the world’s largest-aperture wide-field telescope (with an average aperture of 4.3 m and a 5-degree field of view), has two key mirrors inside its white casing: MA (composed of 24 segments) and MB (composed of 37 segments). Its focal plane system, which is used to collect starlight and generate spectra, includes 4,000 optical fibers, 16 spectrographs, and 32 detectors (Fig. 2).

Among LAMOST’s multiple world-first technologies, the core ones are active optics technology and zoned parallel controllable fiber positioning technology.

LAMOST innovatively applied active optics, pioneering a “living” adjustable deformable mirror system—something unattainable with conventional optical methods. This design allows its correcting mirror to correct spherical aberration while tracking celestial targets, breaking the long-standing technical bottleneck of balancing a large aperture and wide field of view and paving a new direction for the development of international active optics.

Additionally, LAMOST pioneered the integration of thin deformable and segmented mirrors on a single optical surface, employing two large hexagonal-segmented mirrors. These hexagonal segments not only reduce costs but also ensure precise starlight convergence, with the mirror surface precision exceeding 1/6,000 the diameter of a human hair.

Meanwhile, LAMOST pioneered zoned parallel controllable fiber positioning technology. On a focal plane panel roughly the size of a dining table, 8,000 motors drive 4,000 fiber positioning units to rotate, enabling LAMOST’s 4,000 optical fibers to rapidly and accurately position themselves according to star catalog coordinates within 10 min. This advanced the international capability of multi-object fiber spectroscopic observations from hundreds of celestial bodies per observation to thousands, an order of magnitude improvement. This technology has been crucial for LAMOST to maintain its global leadership in spectral acquisition volume. Since its successful operation, LAMOST’s fiber positioning technology has been adopted by many large international telescopes.

3 Operational management: Precision engine of scientific output

If LAMOST’s revolutionary hardware represents its “giant eye” on the Universe, its operational management system functions as the “brain” that transforms technical capability into sustained scientific productivity. Designed to ensure that every second of observing time serves major scientific goals and that every spectrum delivers maximum value, this framework has been central to LAMOST’s long-term success.

As a national key scientific infrastructure, LAMOST operates under a science-driven governance model. A Scientific Committee evaluates survey strategies and major research directions, while a User Committee gathers community feedback, supervises facility utilization, and promotes technological innovation and collaboration. The Operation and Development Center integrates six divisions—observation, survey science, data processing, technical maintenance, artificial intelligence, and administration—into a coordinated system (Fig. 3). Through a closed-loop workflow covering survey planning, nightly observation, data acquisition, processing, and technical support, LAMOST has established a professional, digitalized, and process-oriented management mechanism.

Over more than a decade of operation, this structure has continuously improved instrument stability, observing efficiency, and spectral quality. The automated data pipeline achieves a stellar spectral recognition rate above 99%, enabling large-scale processing with minimal manual intervention while maintaining strict quality control through sampling inspections and parameter cross-validation. The dedication of the operations team—working night after night under variable conditions—has ensured reliable performance even during extreme weather and global disruptions.

The essence of LAMOST’s management lies in converting complex telescope operations into an efficient scientific production line. Long-term survey strategies are aligned with frontier questions in Galactic evolution and stellar physics; nightly observing plans are optimized to maximize the scientific return of 4,000 simultaneous fibers. Standardized procedures, intelligent monitoring, and rigorous quality assurance together ensure that technological innovation is consistently translated into stable, high-quality spectral output—sustaining LAMOST’s role as a global leader in spectroscopic surveys.

4 Open access and sharing: A catalyst for unlocking scientific value

LAMOST’s scientific strength derives not only from the scale and statistical consistency of its spectroscopic surveys—featuring world-leading sky coverage, volume, and sampling density—but also from its open data ecosystem, which underpins the construction of a digital Milky Way. Embracing the principle of “observe, process, and release in parallel,” LAMOST provides regular, free public data releases through its official platform, fully interoperable with major international databases such as France’s CDS, ESA’s ESASKY, and the US CasJobs system, thereby enabling seamless cross-survey research and fostering global collaboration.

Since formal survey operations began in 2011 (Luo et al., 2012), LAMOST has remained a global leader in spectroscopic astronomy. By March 2025, it had released 28.07 million spectra and 11.59 million stellar parameter sets, including up to 20 million spectra openly shared worldwide, with full integration into major international archives—establishing LAMOST as a central node in the global astronomical data infrastructure (see DR12 footprint in Fig. 4).

This open-access model has elevated LAMOST from a national facility to a global research platform: by 2025, users from over 300 institutions had produced more than 2,200 SCI publications and approximately 20,000 citations(Fig. 5), transforming its vast data sets into high-impact scientific output.

Operational management underpins LAMOST’s scientific success: its efficient, stable, and goal-driven framework ensures sustained high-quality data production, enabling order-of-magnitude advances in Milky Way structure and evolution, stellar physics, and rare objects, and driving landmark discoveries across Galactic astronomy, stellar populations, compact objects, and exoplanet science—demonstrating how systematic operations translate into transformative scientific impact.

First, in Galactic studies, LAMOST observations have clarified the early formation and evolutionary history of the Milky Way (Xiang and Rix 2022), leading to revisions of the Galaxy’s overall size (López-Corredoira et al., 2018), a recharacterization of the Galactic halo structure (Xu Y et al., 2018), and improved measurements of the Galaxy’s total mass (Zhou et al., 2023). Its large stellar samples also revealed chemical relics of first-generation stars, providing fossil evidence of the earliest stages of cosmic chemical enrichment (Xing et al., 2023).

Second, in stellar physics, LAMOST has advanced research from fundamental population properties, such as constraints on the initial mass function (Li et al., 2023), to the systematic identification and analysis of peculiar stars. It has significantly deepened studies of rare and extreme objects, including hypervelocity stars (Li Y B et al., 2021) and lithium-rich giant stars (Yan et al., 2018), pushing the frontier of stellar evolution research.

Third, leveraging its unprecedented statistical power, astronomers constructed the world’s first extinction database covering 100 million stars and released the first all-sky three-dimensional map of interstellar dust extinction in the Milky Way (Zhang and Green 2025). This achievement provides essential corrections for precision observations and offers new insights into the structure of the interstellar medium and Galactic evolution.

Fourth, in the domain of compact objects, LAMOST contributed to the discovery of supermassive black holes (Liu et al., 2019) and provided evidence for intermediate-mass black holes (Huang et al., 2025), helping to bridge the long-standing “mass gap” in black hole studies.

Finally, LAMOST has also made important contributions to exoplanet research. Its spectroscopic data supported the discovery of hot Jupiters (Dong et al., 2018) and enabled detailed investigations into the orbital properties and dynamical evolution of exoplanetary systems (Xie et al., 2016).

Together, these achievements demonstrate how LAMOST has evolved from a large-scale survey instrument into a driving force behind major discoveries across multiple frontiers of astrophysics.

5 Future prospects and conclusions

LAMOST's success marks a transition from a world-leading facility to an intelligent, evolving infrastructure in the AI era. Future upgrades will focus on higher efficiency, waveband extension and AI-assisted real-time data processing to dynamically optimize survey strategies.

Scientifically, it will deepen Galactic archeology,Statistic study of extraplanet and expand time-domain studies. As a spectral archive containing tens of millions astronomical spectra, LAMOST serves as critical infrastructure for cross-matching and machine learning, moving toward a smart ecosystem where AI and open data drive discovery.

This enduring impact stems from two synergistic forces: technological originality makes it pioneering the large field spectral surveys, and management innovation builds a science-driven framework ensuring sustained productivity. LAMOST proves that lasting influence requires hardware excellence and institutional design to advance together, establishing a sustainable model for the future of data-driven astronomy.

References

[1] Cui X Q, Zhao Y H, Chu Y Q, Li G P, Li Q, Zhang L P, Su H J, Yao Z Q, Wang Y N, Xing X Z, Li X N, Zhu Y T, Wang G, Gu B Z, Luo A L, Xu X Q, Zhang Z C, Liu G R, Zhang H T, Yang D H, Cao S Y, Chen H Y, Chen J J, Chen K X, Chen Y, Chu J R, Feng L, Gong X F, Hou Y H, Hu H Z, Hu N S, Hu Z W, Jia L, Jiang F H, Jiang X, Jiang Z B, Jin G, Li A H, Li Y, Li Y P, Liu G Q, Liu Z G, Lu W Z, Mao Y D, Men L, Qi Y J, Qi Z X, Shi H M, Tang Z H, Tao Q S, Wang D Q, Wang D, Wang G M, Wang H, Wang J N, Wang J, Wang J L, Wang J P, Wang L, Wang S Q, Wang Y, Wang Y F, Xu L Z, Xu Y, Yang S H, Yu Y, Yuan H, Yuan X Y, Zhai C, Zhang J, Zhang Y X, Zhang Y, Zhao M, Zhou F, Zhou G H, Zhu J, Zou S C, (2012). The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST). Research in Astronomy and Astrophysics, 12( 9): 1197–1242

[2] Dong S, Xie J W, Zhou J L, Zheng Z, Luo A, (2018). LAMOST telescope reveals that Neptunian cousins of hot Jupiters are mostly single offspring of stars that are rich in heavy elements. Proceedings of the National Academy of Sciences of the United States of America, 115( 2): 266–271

[3] Huang Y, Li Q, Liu J, Dong X, Zhang H, Lu Y, Du C, (2025). A high-velocity star recently ejected by an intermediate-mass black hole in M15. National Science Review, 12( 2): nwae347

[4] Li J, Liu C, Zhang Z Y, Tian H, Fu X, Li J, Yan Z Q, (2023). Stellar initial mass function varies with metallicity and time. Nature, 613( 7944): 460–462

[5] Li Y B, Luo A L, Lu Y J, Zhang X S, Li J, Wang R, Zuo F, Xiang M, Ting Y S, Marchetti T, Li S, Wang Y, Zhang S, Hattori K, Zhao Y H, Zhang H W, Zhao G, (2021). 591 High-velocity stars in the Galactic halo selected from LAMOST DR7 and Gaia DR2. Astrophysical Journal. Supplement Series, 252( 1): 3–21

[6] Liu J, Zhang H, Howard A W, Bai Z, Lu Y, Soria R, Justham S, Li X, Zheng Z, Wang T, Belczynski K, Casares J, Zhang W, Yuan H, Dong Y, Lei Y, Isaacson H, Wang S, Bai Y, Shao Y, Gao Q, Wang Y, Niu Z, Cui K, Zheng C, Mu X, Zhang L, Wang W, Heger A, Qi Z, Liao S, Lattanzi M, Gu W M, Wang J, Wu J, Shao L, Shen R, Wang X, Bregman J, Di S R, Liu Q, Han Z, Zhang T, Wang H, Ren J, Zhang J, Zhang J, Wang X, Cabrera L A, Corradi R, Rebolo R, Zhao Y, Zhao G, Chu Y, Cui X, (2019). A wide star–black-hole binary system from radial-velocity measurements. Nature, 575( 7784): 618–621

[7] López-Corredoira M, Prieto C A, Garzón F, Wang H, Liu C, Deng L, (2018). Disk stars in the Milky Way detected beyond 25 kpc from its center. Astronomy & Astrophysics, 612: L8

[8] Luo A L, Zhang H T, Zhao Y H, et al. (2012). Data release of the LAMOST pilot survey. Research in Astronomy and Astrophysics, 12( 9): 1243–1246

[9] Xiang M, Rix H W, (2022). A time-resolved picture of our Milky Way’s early formation history. Nature, 603( 7902): 599–603

[10] Xie J W, Dong S, Zhu Z, Huber D, Zheng Z, De Cat P, Fu J, Liu H G, Luo A, Wu Y, Zhang H, Zhang H, Zhou J L, Cao Z, Hou Y, Wang Y, Zhang Y, (2016). Exoplanet orbital eccentricities derived from LAMOST–Kepler analysis. Proceedings of the National Academy of Sciences of the United States of America, 113( 41): 11431–11435

[11] Xing Q F, Zhao G, Liu Z W, Heger A, Han Z W, Aoki W, Chen Y Q, Ishigaki M N, Li H N, Zhao J K, (2023). A metal-poor star with abundances from a pair-instability supernova. Nature, 618( 7966): 712–715

[12] Xu Y, Liu C, Xue X X, Newberg H J, Carlin J L, Xia Q R, Deng L C, Li J, Zhang Y, Hou Y, Wang Y, Cao Z, (2018). Mapping the Milky Way with LAMOST–II. The stellar halo. Monthly Notices of the Royal Astronomical Society, 473( 1): 1244–1257

[13] Yan H L, Shi J R, Zhou Y T, Chen Y S, Li E T, Zhang S, Bi S L, Wu Y Q, Li Z H, Guo B, Liu W P, Gao Q, Zhang J B, Zhou Z M, Li H N, Zhao G, (2018). The nature of the lithium enrichment in the most Li-rich giant star. Nature Astronomy, 2( 10): 790–795

[14] Zhang X, Green G M, (2025). Three-dimensional maps of the interstellar dust extinction curve within the Milky Way galaxy. Science, 387( 6739): 1209–1214

[15] Zhou Y, Li X, Huang Y, Zhang H, (2023). The circular velocity curve of the Milky Way from 5–25 kpc using luminous red giant branch stars. Astrophysical Journal, 946( 2): 73–85

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