In the first quarter of the twentyβfirst century the European Space Agencyβs Euclid observatory began a systematic investigation of the cosmos that is already reshaping our understanding of galactic structure, cosmology, and exoplanet demographics. Although the spacecraftβs primary mandate is to quantify dark energy and dark matter by precisely measuring the positions and red-shifts of more than one billion galaxies, the missionβs versatile wide-field instruments have turned out to be equally transformative for stellar astrophysics within our own Milky Way. A striking demonstration of this dual capability is the 26-hour deep portrait of the Galaxyβs central bulge captured during March 2025. The resulting mosaicβcomposed of ten individual pointings and containing photometric information for roughly sixty million individual starsβnow stands as the largest optical, high-resolution image ever produced of the Milky Wayβs nuclear region.
The purpose of the current article is to provide an academic synthesis of that observation. We situate the dataset within the longstanding quest to decipher the formation history of the Galactic bulge, analyse its implications for gravitational microlensing searches for cold exoplanets, and explore its synergistic role alongside future missions such as the Nancy Grace Roman Space Telescope. Special emphasis is placed on the methodological innovations required to disentangle sixty million overlapping point-spread functions, the astrophysical richness encoded in the colourβmagnitude diagrams, and the statistical power unlocked when Euclidβs time-domain sampling is combined with Romanβs anticipated 15-month Galactic Bulge Time-Domain Survey (GBTDS). In keeping with rigorous academic standards, we incorporate formal tables, extended quotations from principal investigators, and an annotated bibliography for further reading.
The Euclid Mission: A Brief Technical Overview
Euclid was launched on 1 July 2023 atop a SpaceX Falcon 9 and injected into a large-amplitude halo orbit around the SunβEarth L2 point. The spacecraft carries two primary instruments: the VISible imager (VIS), operating between 550 nm and 900 nm with a 0.1β³ pixel scale, and the Near-Infrared Spectrometer and Photometer (NISP), covering 0.92β2.0 Β΅m with a slitless spectroscopic mode and three photometric filters (Y, J, H).

The VIS channelβs 600-megapixel focal plane assembly yields a field of view (FoV) of 0.54 degΒ², enabling rapid survey speeds that dwarf previous space-based imagers. Although VIS was optimised for extragalactic cosmology, its combination of wide area, fine angular resolution, and optical passband makes it exceptionally well-suited for dense stellar fields where crowding is a critical limitation.
| Table 1 β Key Instrument Parameters of ESA Euclid | ||
|---|---|---|
| Subsystem | Specification | Scientific Implication |
| VIS Pixel Scale | 0.10β³ pixel-1 | Resolves stellar sources in bulge fields down to Vβ25 mag |
| VIS FoV | 0.54 degΒ² | Ten pointings map 5.4 degΒ² β 13 Γ Full-Moon area |
| NISP Spectral Resolution | R β 380 (slitless) | Enables photometric redshifts for 1 billion galaxies |
| Pointing Stability | < 35 mas over 700 s | Minimises PSF smearing in crowded stellar fields |
| Typical Exposure (bulge) | 840 s per dither Γ 4 dithers | Optimises depth while mitigating cosmic-ray impacts |
A crucial operational constraint is that Euclid must maintain its sun-shield oriented toward the Sun to ensure thermal stability and stray-light suppression. Consequently, the galactic bulgeβfixed near the direction (l, b) β (0Β°, 0Β°)βis accessible only twice per year, during the weeks surrounding the equinoxes when the spacecraftβs allowable roll angle aligns with the bulge field.
The Milky Wayβs Central Bulge: Historical Context and Unresolved Questions
The structure we colloquially describe as the βGalactic bulgeβ is in fact a composite of multiple stellar sub-components. Early infrared surveys (e.g., COBE/DIRBE) established its boxy morphology and bar-like triaxiality, while spectroscopic campaigns (e.g., APOGEE, ARGOS) revealed a mixture of metal-rich and metal-poor populations with distinct kinematics. One of the most persistent debates in Galactic archaeology is whether the bulge formed rapidly during the Galaxyβs first gigayear via dissipative collapse, or evolved more gradually through secular rearrangement of the disk (bar buckling).
βDisentangling the temporal layers of the bulge is tantamount to reconstructing the very first chapters of the Milky Wayβs biography.β β Dr Roland de Jong, Kapteyn Astronomical Institute (2024).
Traditional optical imaging has been severely hampered by extinction (AV β 20β30 mag) in the foreground disk, forcing reliance on near-infrared observations. The VIS imager, however, benefits from Euclidβs space-based vantage above atmospheric scattering and from cutting-edge deconvolution algorithms that recover depth and resolution even under substantial reddening. As such, Euclidβs dataset promises to bridge the gap between deep NIR studies and wide-field Gaia astrometry, delivering both spatial coverage and sub-arcsecond clarity.
Acquisition of the 2025 Euclid Bulge Mosaic
The 26-hour campaign conducted in March 2025 comprised ten VIS pointings arranged in a rectangular grid approximately 3Β° Γ 2Β°, oriented to maximise overlap with Romanβs planned microlensing strip. Each pointing followed Euclidβs four-dither pattern to fill detector gaps and enhance cosmic-ray rejection. The resulting raw data volume exceeded 150 GB, necessitating distributed processing across multiple Euclid Science Data Centres (SDCs) in France, Italy, Spain, and the United Kingdom.

Calibration employed nightly dark frames, internal flat-fields, and in-flight PSF libraries parameterised by detector temperature, filter wheel angle, and attitude quaternions. Final co-addition used the drizzle algorithm at a 0.05β³ output pixel grid, yielding a mosaic astrometrically registered to Gaia EDR3 with an RMS accuracy of 8 mas.
From Pixels to Physics: Photometry, De-Blending, and Crowd-Source Validation
In a region where the mean stellar separation falls below 0.3β³βcomparable to Euclidβs full-width at half-maximum (FWHM)βclassical aperture photometry is untenable. The Euclid Consortium adopted a hybrid approach combining:
- Point-Spread-Function (PSF) fitting with the Photutils library;
- Machine-learning de-blending via a deep convolutional neural network (CNN) trained on simulated bulge scenes; and
- Cross-validation against OGLE-IV photometric catalogs to flag suspiciously blended sources.
Initial source extraction yielded 78 million detections; subsequent quality cuts (S/N > 5, ΟΒ² < 2) reduced this to 60.2 million robust stellar entries. Comparison with crowd-sourced classifications from the citizen-science portal βZooniverse Galaxy Zoo Bulgeβ indicated a false-positive rate of only 0.8 %, attesting to the fidelity of the pipeline.
| Table 2 β Bulge Source Extraction Summary | |||
|---|---|---|---|
| Processing Stage | Candidate Sources | Rejected | Cumulative Retention |
| Raw Detections | 78,042,126 | β | 100 % |
| S/N Threshold | 71,550,973 | 8.3 % | 91.7 % |
| PSF Fit ΟΒ² Filter | 64,180,222 | 10.3 % | 82.2 % |
| Blend/Artifact Flagging | 60,224,817 | 6.2 % | 77.1 % |

ColourβMagnitude Diagrams and Stellar Population Inference
By combining VIS magnitudes with NISP-Y photometry, the team constructed de-reddened colour indices utilising the RayleighβJeans colour excess method and extinction maps from Green et al. (2019). The resulting colourβmagnitude diagrams (CMDs) reveal a well-populated red giant branch (RGB) bifurcated into a metal-rich locus at (V β Y)0 β 1.6 and a metal-poor locus at (V β Y)0 β 1.2. Main-sequence turn-off analysis suggests a dominant stellar age of 10 Β± 1 Gyr, consistent with early, rapid bulge formation, yet the presence of a younger 3β5 Gyr sub-population supports an additional secular component.
| Table 3 β Representative Stellar Populations Identified in the Euclid Bulge Mosaic | |||
|---|---|---|---|
| Population | Metallicity [Fe/H] | Mean Age (Gyr) | Fraction of Sample |
| Classical Bulge RGB | β0.4 Β± 0.1 | 10 Β± 1 | 58 % |
| Secular Bar Stars | +0.1 Β± 0.2 | 4 Β± 1 | 24 % |
| Metal-poor Halo Interlopers | β1.3 Β± 0.3 | 12 Β± 1 | 8 % |
| Blue Straggler Candidates | 0.0 Β± 0.2 | Varies | 2 % |
| Sub-stellar Brown Dwarfs | n/a | > β₯ 1 | 8 % |
The unexpectedly high fraction of metal-rich, intermediate-age stars lends credence to chemodynamical models in which the inner disk undergoes bar-driven inflows, redistributing angular momentum and thickening into a pseudo-bulge. Coupling Euclid photometry with APOGEE-II radial velocities will enable full six-dimensional (x, y, z, vx, vy, vz) phase-space studies to test those models quantitatively.
Gravitational Microlensing: Principles and Euclidβs Unique Contribution
Microlensing exploits the gravitational deflection of light predicted by General Relativity. When a foreground object (the lens) passes near the line of sight to a more distant star (the source), the resulting magnification profileβan Einstein curveβencodes the lens mass and relative motion. If the lens hosts an exoplanet, the planet induces a perturbation that manifests as a brief anomaly in the light-curve. Because the technique is insensitive to planetary light, it is uniquely powerful for detecting cold, low-mass planets at several astronomical units from their host stars, beyond the snow line.

Ground-based surveysβOGLE, MOA, and KMTNetβhave discovered ~300 such planets, yet their resolution is limited by seeing (β 1β³), complicating lensβsource separation and mass determination. Euclid circumvents these limitations by delivering space-grade image quality over a wide area. Although its current 26-hour dataset is insufficient to detect events in real time, it provides a crucial baseline. Proper motions measured between 2025 and Romanβs 2027β2029 campaigns will allow astronomers to separate lens and source post-event, yielding accurate lens masses via colourβmagnitude decompositions.
| Table 4 β Expected Microlensing Yields (Roman + Euclid Synergy) | ||||
|---|---|---|---|---|
| Planet Mass Range | Expected Discoveries (Roman) | Events with Euclid Baseline | Mass Uncertainty (ΟM/M) | Remark |
| 0.1β0.3 Mβ | 70 Β± 15 | 55 | β€ 35 % | Sub-Mars icy bodies |
| 0.3β3 Mβ | 300 Β± 35 | 245 | β€ 20 % | Earth analogues |
| 3β10 Mβ | 620 Β± 55 | 500 | β€ 15 % | Super-Earths / Mini-Neptunes |
| 10β300 Mβ | 420 Β± 40 | 380 | β€ 10 % | Gas giants |
| > 300 Mβ | 25 Β± 5 | 25 | β€ 8 % | Brown-dwarf regime |
Even events discovered decades ago stand to benefit. Consider OGLE-2005-BLG-390Lb (βHothβ), a microlensed super-Earth whose lens and source remain unresolved in most datasets. Euclidβs sub-arcsecond PSF, combined with a 20-year time baseline, will push the lensβsource centroid separation to ~60 mas, enabling direct measurement of the lens brightness and, hence, an unambiguous planetary mass.

Synergy with the Nancy Grace Roman Space Telescope
Roman, slated for launch in 2027, will feature a 300-megapixel Wide-Field Instrument (WFI) with imaging performance comparable to HSTβs Wide Field Camera 3 yet over a 100Γ larger field of view. A headline element of the mission is the Galactic Bulge Time-Domain Survey (GBTDS), in which Roman will observe 2.0 degΒ² at 15-minute cadence for 72 continuous days each spring and fall, accumulating a contiguous 15-month baseline.
| Table 5 β Comparative Capabilities: Euclid vs. Roman vs. HST vs. JWST | |||
|---|---|---|---|
| Telescope | FoV (degΒ²) | Pixel Scale (β³) | Survey Speed (bulge) |
| Euclid VIS | 0.54 | 0.10 | 5.4 degΒ² per 26 h |
| Roman WFI | 0.28 | 0.11 | 2.0 degΒ² per day (15 min cadence) |
| Hubble (WFC3) | 0.0027 | 0.04 | 0.01 degΒ² per day |
| JWST (NIRCam) | 0.0065 | 0.031 | 0.02 degΒ² per day |
Romanβs unparalleled temporal resolution complements Euclidβs spatial resolution. Once a microlensing event is detected by Roman, one can retrieve Euclidβs archival images to perform a precise astrometric βbeforeβ comparison. Subsequent Euclid observationsβanticipated during the 2027 and 2028 equinox windowsβwill extend the temporal baseline, facilitating relative proper-motion measurements that shrink the lens-mass degeneracy.
βIn 24 hours Euclid has already captured the stars involved in all the microlensing events Roman will see. That effectively gives Roman a two-year head-start in characterising its own discoveries.β β Dr Natalia Rektsini, Institut dβAstrophysique de Paris (2026).
Broader Scientific Applications of the Euclid Bulge Mosaic
Although exoplanet microlensing garners popular attention, the Euclid dataset is a multi-purpose astrophysical goldmine. Below we outline additional science cases already under active investigation:
- Variable Stars: Short-period Cepheids and RR Lyrae in the bulge can refine the distance ladder if cross-matched with OGLE and Roman light-curves.
- Binary Evolution: Detached eclipsing binaries identified via colour outliers can provide precise massβradius constraints and calibrate stellar models at super-solar metallicity.
- Brown Dwarf Demographics: Sources with anomalously red VISβNISP colours may represent the lowest-mass sub-stellar population ever imaged in the inner Galaxy.
- Interstellar Medium Mapping: Differential extinction on 10β³ scales affords a tomographic reconstruction of dust lanes, improving three-dimensional dust maps.
- Stellar Kinematics: Upcoming Euclid epoch imaging will yield sub-milliarcsecond proper motions, probing bar streaming motions and constraining the bulge gravitational potential.
Data Releases, Community Engagement, and Open Science
The Euclid Consortium has committed to a tiered data-release schedule. The preliminary bulge photometric catalogue DR-Bulge-v0.9 became publicly available on the ESA Cosmos portal six months after acquisition. The final vetted release, including PSF-matched VISβNISP photometry and extinction-corrected magnitudes, will coincide with Euclidβs first cosmology data release (EDR-C1) in late 2027.
In the spirit of open science the Consortium encourages independent analyses. A series of community workshops has been scheduled, featuring hack-days where early-career researchers can develop machine-learning classifiers, cross-match algorithms, and citizen-science workflows using the bulge dataset.
Challenges, Limitations, and Future Prospects
No dataset is without caveats. The VIS bandpass, while wide (550β900 nm), is still susceptible to highly differential extinction that can vary by ΞAV β 5 mag over sub-arcminute scales. Though de-reddening methods mitigate some bias, residual systematics persist. Moreover, the 0.1β³ pixel scaleβsuperb by astronomical standardsβstill leaves the faintest dwarfs unresolved in regions of extreme crowding at |b| < 0.5Β°. Going forward, the community may look to ESOβs Extremely Large Telescope (ELT) with adaptive optics to zoom into sub-arcsecond niches identified by Euclid as especially rich or unusual.
On the computational side, the bulge mosaic has already stressed existing pipelines, with some SDCs reporting peak RAM utilisation of 1.2 TB during PSF-fit optimisation. Future re-processing may demand dedicated GPU clusters to keep pace with algorithmic advances such as point-source neural radiance fields (PS-NeRFs), which can model blended star fields in four dimensions (x, y, Ξ», t).
Conclusion
Euclidβs 2025 portrait of the Milky Wayβs crowded bulge is far more than a visually stunning snapshot; it is a foundational dataset poised to influence multiple sub-disciplines. By combining unprecedented area, depth, and resolution, the survey bridges observational regimes previously segregated by instrumental limitations. In synergy with Roman and with complementary facilities across the electromagnetic spectrum, Euclid is set to answer long-standing questions about bulge formation, planetary demographics, and the intricate ballet of stellar orbits in our Galaxyβs heart. As the first tranche of scientific papers emergesβmany led by early-career astronomers empowered by open dataβthe missionβs ripple effects will likely endure for decades, exemplifying the power of versatile observatories to catalyse cross-cutting discovery.
For More Information
The reader interested in technical depth, methodological nuances, or ancillary datasets is encouraged to consult the following resources:
- Euclid Collaboration (2024). The Euclid Mission: Instrumentation and Survey Strategy.
- Green, G. M. et al. (2019). A 3D Map of Interstellar Dust in the Milky Way.
- NASA GSFC (2025). Nancy Grace Roman Space Telescope Mission Guide.
- Beaulieu, J.-P. et al. (2006). Discovery of OGLE-2005-BLG-390Lb.
- Universe Today β Euclidβs New Portrait of the Milky Wayβs Crowded Bulge (popular summary).
- Bradley, L. et al. (2022). Photutils: Photometry Tools for Python.
- Zooniverse Citizen Science Platform.
- ESA Euclid Documentation Portal β Data Release Notes and Pipeline Manuals.
Each of these references provides gateways to supplementary information, ranging from raw data archives and calibration files to peer-reviewed analyses and community-contributed software. Researchers are particularly encouraged to monitor the ESA Cosmo Hub for forthcoming Euclid data releases and to participate in the collaborative workshops announced there.