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Mapping the Cosmic Microwave Background

by Florius

If you follow astrophysics even casually, you have likely heard of the Cosmic Microwave Background (CMB). It is the faint radiation that fills all of space in the observable universe. To the naked eye, the space between stars appears black. But with sufficiently sensitive instruments, that darkness shows a nearly uniform background glow coming from every direction. This radiation has a thermal blackbody temperature of about 2.725 K, with tiny fluctuations of only a few ten-thousandths of a kelvin. Those minute variations are not noise; they encode information about the structure and evolution of the early universe. Such a temperature map can be seen in Figure 1.

The CMB is usually presented as a full-sky temperature map, where color represents these small fluctuations (see Figure 1). At first glance such maps can feel abstract: a flat, oval image that somehow represents the entire sky. Initially, I didn’t understood how such a map covers the entire sky.

This figure presents the full-sky temperature anisotropy map of the Cosmic Microwave Background (CMB) as measured by the Planck satellite. The data represents tiny fluctuations in temperature (on the order of microkelvin) across the entire celestial sphere. The map is shown in a Mollweide projection, an equal-area transformation commonly used in cosmology to display spherical datasets in two dimensions. Each pixel corresponds to a specific direction in the sky, defined by celestial longitude and latitude. The projection preserves area while redistributing angular coordinates into an elliptical shape. The color variations represent minute temperature differences relative to the mean CMB temperature of approximately 2.725 K. These fluctuations trace the primordial density variations present about 380,000 years after the Big Bang, which later evolved into galaxies and large-scale cosmic structure. Although displayed as a 2D image, the dataset fundamentally resides on a spherical surface surrounding the observer. The Mollweide projection provides a practical representation for visualization, statistical analysis, and spherical harmonic decomposition of the CMB signal.
Figure 1. Full-Sky CMB Temperature Map from the Planck Mission. Image taken from [1].

In this post, I will not go into full detail on the CMB itself, but rather try to make this map-structure understandable for everyone. Nonetheless I still need to briefly explain what the CMB is and how we can map it. I begin with the radiation wrapped onto a 3D sphere, emphasizing a simple but important fact: the CMB is not “out there” in one direction, but it surrounds us completely. Scanning-style animations then show how a telescope observes the sky piece by piece, and how those observations are combined and unfolded into a two-dimensional projection without losing their global context.

Cosmic Microwave Background

The cosmic microwave background is the faint thermal radiation that fills all of space. It literally is the oldest light we can observe, released when the universe was about 300,000 years old. Why it took this time, and where the light comes from is best explained here. 

What is important for this article, is why is it everywhere? Because the big bang didnt happen at a single point in space, it happened everywhere at once. So that when the universe became transparant, light was emitted in all directions, from all places. The small imperfections at that time in space, is what we measure rigt now as very small temperature differences. These differences later grew (via gravity) into galaxies, and larger clusters.

Experimental Instruments

Because the temperature variations in the Cosmic Microwave Background are extremely small, measuring them requires exceptionally clean and stable instruments. Although ground-based telescopes can detect parts of the signal, the most reliable measurements come from space-based satellites. Observing from space avoids atmospheric interference and allows full-sky mapping with high precision.

Over the past four decades, three major satellite missions have been dedicated to detecting and mapping the CMB: COBE, WMAP, and Planck.

COBE (1989)

The COBE (Cosmic Background Explorer) was launched by NASA in 1989.

Its primary objective was to determine whether the CMB follows a perfect blackbody spectrum. This was successfully confirmed with extraordinary precision, a result that later earned John Mather and George Smoot the Nobel Prize in Physics.

COBE also made the first detection of temperature anisotropies in the CMB. This was a groundbreaking discovery. Before COBE, these fluctuations were only predicted theoretically. COBE provided the first direct evidence that the tiny density variations required for structure formation actually existed.

However, the satellite’s angular resolution was limited to about 7 degrees. As a result, its CMB map was relatively blurry and only revealed very large-scale structures.

Figure 2. COBE. Images taken from [2].

WMAP (2001)

The WMAP (Wilkinson Microwave Anisotropy Probe) was launched by NASA in 2001.

Its goal was to produce high-precision maps of CMB anisotropies and to determine the fundamental cosmological parameters. WMAP achieved an angular resolution of about 0.2 degrees (approximately 13 arcminutes), a major improvement over COBE. Among its key achievements were:

  • Determining the age of the universe to high precision (~13.7 billion years)
  • Measuring the matter density (Ωm)
  • Measuring the dark energy density (ΩΛ)
  • Providing strong evidence that the universe is spatially flat

With WMAP, cosmology entered the era of precision measurement.

Figure 3. WMAP. Image taken from [3].

Planck (2009)

The Planck satellite was launched by the European Space Agency (ESA) in 2009. Planck represented a major technological advancement over its predecessors. It featured:

  • Higher sensitivity detectors
  • Improved foreground separation techniques
  • Nine frequency bands for more accurate signal extraction

Its angular resolution reached about 5 arcminutes, making it the most detailed and sensitive of the three missions. Planck refined the age of the universe to approximately 13.8 billion years and placed much tighter constraints on key cosmological parameters.

Figure 4. Image taken from [4].

Mollweide Projections in Galactic Coordinates

Now to go back to the main problem. How does the night sky gets mapped using these satellites. To answer this, we start with an analogy. Imagine the Earth as a sphere that is observed gradually, not all at once. A satellite scans the surface in narrow strips, looping around the planet and shifting slightly each time, until every latitude and longitude has been measured. Each observation is naturally tied to a point on the spherical surface. Some locations, like the North and South Poles, are special: all longitudes meet there, so each pole is always a single point, no matter how the Earth is scanned. An illustration can be seen in the figure below.

This figure illustrates the gradual reconstruction of the Cosmic Microwave Background (CMB) sky as observational data accumulates over time. On the left, the data is mapped directly onto a 3D sphere, representing the celestial sphere surrounding the observer. Only the portion of the sky that has been scanned is visible, while the remaining area remains black, indicating unobserved regions. On the right, the same data is shown in a Mollweide projection — an equal-area map projection commonly used in cosmology for full-sky datasets. The projection flattens the spherical sky into an elliptical shape while preserving area relationships. The gridlines represent celestial longitude and latitude. At this stage, 21.4% of the sky has been revealed (1500 of 12,960 samples). The visible regions form curved bands, reflecting the scanning strategy of a rotating spacecraft that sweeps the sky in rings. As the spacecraft continues scanning and slowly precesses its pointing direction, additional arcs accumulate until the full sky is covered. This visualization demonstrates how time-ordered measurements on a sphere naturally translate into a progressively filled global map — first in 3D, and then in a 2D equal-area projection.
Figure 5. Continuous Sky Coverage of the Cosmic Microwave Background: Spherical and Mollweide Views.

To see the entire planet at once, this spherical data has to be laid out on a flat surface. That is the role of a map projection. The Mollweide projection takes every point defined by latitude and longitude and places it inside an oval in such a way that equal areas on the Earth remain equal areas on the map. Near the equator, where the Earth’s circumference is largest, the map spreads out horizontally. Toward the poles, the available circumference shrinks, so the map compresses until all longitudes collapse into a single point at the top and bottom of the oval. In this way, the Mollweide map is simply the final step of the scan: a consistent way to unfold a fully observed sphere into one complete, area-faithful view, shown in Figure 6.

This figure presents a complete spherical dataset visualized in two complementary ways: as a 3D globe (left) and as a Mollweide projection (right). On the left, the data is mapped directly onto a sphere, representing the natural geometry of a global dataset. Each pixel corresponds to a specific pair of angular coordinates (longitude and latitude), preserving the intrinsic curvature of the surface. On the right, the same data is transformed into a Mollweide projection — an equal-area map projection commonly used for full-sky datasets in cosmology and geophysics. The projection flattens the spherical surface into an elliptical shape while preserving area relationships. The graticule (longitude and latitude gridlines) illustrates how angular coordinates are redistributed across the 2D map. Although the two views appear visually different, they represent the same underlying spherical information. The spherical rendering emphasizes the geometry of the surface, while the Mollweide projection provides a practical format for full-sky analysis, visualization, and comparison.
Figure 6. Full-Sky Dataset Shown on a 3D Sphere and in Mollweide Projection

Night Sky Mapping

For the Earth, the geometry is familiar and intuitive. A satellite orbits outside the planet and looks inward. As the Earth rotates beneath it, the satellite scans the surface in narrow strips. Over time, every latitude and longitude is observed. Each measurement corresponds to a point on the Earth’s surface, and the full dataset naturally lives on the outside of a sphere.

For the Cosmic Microwave Background, the situation is inverted. There is no external vantage point. Instead, we are located inside the sphere that emits the radiation. A CMB telescope does not look toward an object at a distance; it looks outward in different directions of the sky. As the spacecraft spins and slowly changes orientation, it scans rings and arcs on the celestial sphere that surrounds the observer. After enough time, every direction has been measured.

Despite this difference in perspective, the mathematical problem is identical in both cases. Whether the data comes from scanning the Earth from the outside or scanning the sky from the inside, the result is still a complete spherical surface covered with measurements. Each data point is labeled by two angles, analogous to longitude and latitude. The poles are special in both cases: on Earth they are single points where all longitudes meet, and on the sky they are simply directions where many scan paths intersect.

This figure shows the full-sky temperature anisotropy map of the Cosmic Microwave Background (CMB) as measured by the Wilkinson Microwave Anisotropy Probe (WMAP). The map represents minute temperature fluctuations—on the order of tens of microkelvin—relative to the mean CMB temperature of approximately 2.725 K. On the left, the data is rendered directly on a sphere, reflecting the true geometry of the celestial sky surrounding the observer. Each pixel corresponds to a specific direction in space, defined by angular coordinates (longitude and latitude). On the right, the same dataset is displayed in a Mollweide projection, an equal-area map projection widely used in cosmology to visualize full-sky measurements. This projection flattens the spherical sky into an elliptical format while preserving area relationships. The graticule lines indicate celestial coordinates. The color variations (typically blue for slightly cooler regions and yellow/red for slightly warmer regions) trace primordial density fluctuations present approximately 380,000 years after the Big Bang. These small variations later grew through gravitational instability to form galaxies and large-scale cosmic structure. Compared to later missions such as Planck, WMAP has a lower angular resolution, which results in slightly smoother and more visibly pixelated structures in the map. Nevertheless, WMAP marked a major milestone in precision cosmology, providing strong constraints on the age, composition, and geometry of the universe.
Figure 7. Full-Sky Cosmic Microwave Background Temperature Map (WMAP)

Once the entire sphere has been observed, the data must be flattened into a single image. The Mollweide projection redistributes the sphere into an oval while preserving area, spreading points near the equator and compressing points near the poles until they collapse into single points at the top and bottom of the map. The Earth Mollweide and the CMB Mollweide therefore look so similar not because the underlying objects are the same, but because in both cases they represent the same thing: a complete spherical dataset, scanned in time and unfolded into a single, coherent view.

The Reality Behind the Scanning

In practice, the process is far more complex than this simplified picture suggests. CMB satellites are positioned near a gravitationally stable location known as a Lagrange point, specifically the Sun-Earth L2 point. From this location, the spacecraft remains shielded from direct sunlight and thermal interference while maintaining a stable orbit relative to both the Sun and the Earth. This stability is crucial for making extremely sensitive measurements of microkelvin-level temperature variations [5, 6, 7].

Moreover, the same patch of sky is scanned many times. Repeated observations allow scientists to:

  • Reduce random noise through averaging
  • Identify and remove systematic errors
  • Separate foreground emissions (such as dust and synchrotron radiation) from the true CMB signal
  • Improve overall sensitivity

The final map is therefore not a single scan, but the result of years of carefully calibrated measurements, statistical averaging, and sophisticated data processing.

References

[1] New Scientist, “Cosmic microwave background,” *NewScientist.com*. [Online]. Available: https://www.newscientist.com/definition/cosmic-microwave-background/. [Accessed: 12-Feb-2026].

[2] “COBE satellite image,” *space.skyrocket.de*, Gunter’s Space Page. [Online]. Available: https://space.skyrocket.de/img_sat/cobe__1.jpg. [Accessed: 12-Feb-2026]. 

[3] Engineering and Technology History Wiki (ETHW), “Wilkinson Microwave Anisotropy Probe (WMAP),” *ethw.org*. [Online]. Available: https://ethw.org/Wilkinson_Microwave_Anisotropy_Probe_%28WMAP%29. [Accessed: 12-Feb-2026].

[4] European Space Agency (ESA), “Planck operations,” *ESA – Enabling & Support / Operations*, 04-Dec-2006. [Online]. Available: https://www.esa.int/Enabling_Support/Operations/Planck_operations. [Accessed: 12-Feb-2026].

[5] European Space Agency (ESA), “Planck operations,” ESA, 04-Dec-2006. [Online]. Available: https://www.esa.int/Enabling_Support/Operations/Planck_operations. [Accessed: 12-Feb-2026].

[6] P. A. R. Ade *et al.*, “Planck 2013 results. I. Overview of products and scientific results,” *Astronomy & Astrophysics*, vol. 571, A1, Oct. 2014, doi: 10.1051/0004-6361/201321529. 

[7] Berkeley Lab, “Planck – ESA Planck Surveyor Mission,” Lawrence Berkeley National Laboratory AETHER, May 2009. [Online]. Available: https://aether.lbl.gov/planck.html. [Accessed: 12-Feb-2026]. 

Florius

Hi, welcome to my website. I am writing about my previous studies, work & research related topics and other interests. I hope you enjoy reading it and that you learned something new.

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