The brain is the central organ of the nervous system, responsible for controlling most bodily functions, interpreting sensory information, and enabling cognitive processes such as thinking, memory, emotions, and decision-making. It is located within the skull and is made up of approximately 86 billion neurons that communicate through electrical and chemical signals.

Key Functions of the Brain:

1. Control of Bodily Functions: The brain regulates essential functions such as heartbeat, breathing, and digestion through the autonomic nervous system.
2. Cognitive and Intellectual Functions: It governs higher mental processes, including thought, reasoning, problem-solving, and memory.
3. Sensory Processing: The brain interprets signals from sensory organs (eyes, ears, skin, etc.), enabling us to perceive and respond to the environment.
4. Motor Control: It coordinates voluntary movements by sending signals to muscles.
5. Emotions and Behavior: The brain is involved in regulating emotions, mood, and behavior, influencing personality and social interactions.
6. Learning and Memory: The brain stores, organizes, and retrieves information, playing a key role in learning and memory formation.

The brain is divided into several key regions:

• Cerebrum: The largest part, responsible for higher functions like thinking, sensation, and voluntary movement.
• Cerebellum: Controls coordination and balance.
• Brainstem: Regulates vital functions such as heartbeat, breathing, and sleep cycles.
• Limbic System: Involved in emotions, motivation, and memory.

The brain is a complex and dynamic organ, constantly processing information and adapting to new experiences throughout a person’s life.

The latest observations of the Cosmic Microwave Background (CMB) anisotropies, along with Baryon Acoustic Oscillations (BAO) and weak lensing surveys, provide powerful insights into the properties of dark matter and its role in the early universe. These observations allow for the precise measurement of the universe’s expansion rate, structure formation, and the evolution of matter and radiation, placing significant constraints on the interactions, thermal relic density, and nature of dark matter. The potential existence of exotic dark matter candidates such as dark photons, ultra-light scalar fields, and primordial black holes introduces alternative models that could challenge or expand our understanding of dark matter. Here’s how these observations help refine our understanding of dark matter’s properties and its connection to cosmic inflation and the formation of the first structures:

1. CMB Anisotropies and Dark Matter

• The CMB provides a snapshot of the universe at approximately 380,000 years after the Big Bang, offering critical information about the distribution of matter, radiation, and the underlying physics governing cosmic expansion. The anisotropies (tiny temperature fluctuations) in the CMB arise from the interactions between photons and baryons before recombination.
• Dark matter influences the formation of these anisotropies through its gravitational effects. Its density and clustering properties impact the sound waves in the early universe’s plasma (known as baryon acoustic oscillations, or BAO), which leave an imprint on the CMB power spectrum.
• These imprints can be used to constrain the abundance and density fluctuations of dark matter, with CMB data providing strong limits on the cold dark matter (CDM) model. Anomalies in the CMB—such as deviations from the expected lensing of the CMB or small-scale power—could indicate the presence of exotic dark matter candidates.

2. Baryon Acoustic Oscillations (BAO) and Structure Formation

• BAO refer to periodic fluctuations in the density of visible matter (baryons) caused by sound waves traveling through the primordial plasma before recombination. These oscillations serve as a “standard ruler” that helps measure the expansion rate of the universe.
• The pattern of BAO, when combined with CMB data, provides a direct measurement of the matter density parameter (Ω_m) and the dark matter density (Ω_dm). Anomalies in the BAO measurement, especially at small scales, could suggest interactions or properties of dark matter that differ from those predicted by standard CDM.
• For exotic candidates like dark photons or ultra-light scalar fields, the sound waves in the early universe would behave differently due to the additional interactions or light mass of these particles. This could modify the sound speed in the early universe and alter the observed BAO patterns, constraining the viability of these candidates.

3. Weak Lensing Surveys and Structure Growth

• Weak gravitational lensing occurs when the gravitational field of large-scale structures (such as galaxy clusters) distorts the path of background light, allowing us to map the distribution of matter in the universe (including dark matter).
• The weak lensing surveys allow for precise measurements of galaxy shapes and the distribution of matter on cosmological scales. These surveys help determine how dark matter interacts with regular matter and how it clusters in large structures.
• Deviations in the lensing measurements can highlight differences in the clustering properties of dark matter or indicate the presence of additional forms of dark matter like dark photons, ultra-light scalar fields, or primordial black holes.
  • Dark photons could interact with standard matter via a new electromagnetic force, potentially altering the clustering of dark matter and its contribution to structure growth.
  • Ultra-light scalar fields could lead to fuzzy dark matter scenarios, where the dark matter behaves more like a fluid, suppressing small-scale structure formation and altering the growth of cosmic structures.
  • Primordial black holes (PBHs) could contribute to dark matter in a compact, non-interacting form and affect the growth of structure differently than CDM, leading to unique signatures in weak lensing maps.

4. Exotic Dark Matter Candidates

• Dark Photons:
  • Dark photons are hypothesized to be the gauge bosons of a new force that interacts with both dark matter and standard model particles. The kinetic mixing between dark photons and regular photons could potentially leave distinct signatures in CMB and BAO data, especially in the early universe. Such interactions could lead to deviations in the sound waves and matter distribution compared to CDM, offering clues about the presence of dark photons.
• Ultra-light Scalar Fields (Axions):
  • Ultra-light scalar fields, such as axions, are another potential dark matter candidate. These fields would have very small masses, which means they would not cluster as tightly as CDM. In the early universe, this could lead to fuzzy dark matter that behaves as a coherent wave rather than individual particles. This would suppress small-scale structure formation and alter the distribution of matter, as observed in both the CMB and BAO.
  • CMB anisotropies could be sensitive to the effects of these ultra-light scalar fields on the early universe’s thermal history. The lack of small-scale power seen in current surveys could be interpreted as a sign of such a component of dark matter.
• Primordial Black Holes (PBHs):
  • Primordial black holes could also be a component of dark matter. These black holes, formed in the early universe, would not interact via conventional forces and could act as dark matter candidates that do not participate in the normal formation of structures. If PBHs are abundant, they could leave distinctive signatures in weak lensing surveys, which map the matter distribution.
  • PBHs might also provide exotic features in the early universe dynamics, potentially influencing inflation and the formation of early structures in unique ways.

5. Dark Matter and Cosmic Inflation

• Cosmic inflation refers to the period of exponential expansion in the very early universe, driven by a hypothetical scalar field. The properties of dark matter could be connected to inflationary dynamics in the sense that certain types of dark matter candidates—especially light dark matter such as axions—could be produced during inflation.
• Inflationary models predict that the early universe was in a highly energetic state, and the interactions between dark matter particles and the inflaton (the field responsible for inflation) could leave imprints on the cosmic structure. For example, the energy density of dark matter at the end of inflation would set the stage for the formation of galaxies, clusters, and larger-scale structures.
• If dark matter is composed of exotic candidates like dark photons or ultra-light scalar fields, their properties could alter the inflationary dynamics, impacting both reheating and the formation of the cosmic structure.

The latest CMB anisotropies, BAO measurements, and weak lensing surveys provide critical constraints on the properties and interactions of dark matter. These observations help refine our understanding of how dark matter behaves in the early universe and its role in structure formation. Exotic dark matter candidates like dark photons, ultra-light scalar fields, and primordial black holes could offer alternative explanations for the small-scale anomalies observed in the cosmic structure. The interplay between dark matter and cosmic inflation provides an exciting avenue for future research, as the exact nature of dark matter continues to evolve beyond the standard CDM model.

The “large-scale structure” (LSS) of the universe refers to the distribution of galaxies, clusters, superclusters, and voids across the cosmos. These structures provide critical insights into the nature of dark matter (DM), as it is thought to play a fundamental role in the formation and evolution of these structures. The presence of dark matter (including various models like cold dark matter (CDM) and self-interacting dark matter (SIDM)) has significant implications for LSS, and discrepancies between the predictions of cosmological simulations and actual observations have raised important questions about the properties of dark matter. Below, I explore how the LSS challenges our understanding of dark matter properties, particularly in the context of SIDM, and how future surveys like the EUCLID mission can help resolve these tensions.

Large-Scale Structure and Dark Matter

• The LSS of the universe includes the formation of galaxy clusters, superclusters, and voids, which are large regions of space with relatively few galaxies. The formation of these structures is governed by the interplay between gravity and the distribution of dark matter. Dark matter is believed to have provided the gravitational scaffolding for the formation of galaxies and clusters, which then evolved into the structures we observe today.

Challenges for Our Understanding of Dark Matter Properties

1. Cold Dark Matter (CDM) and the “Core-Cusp” Problem

• Cold dark matter (CDM) is the leading candidate for dark matter, assuming it interacts weakly with ordinary matter and itself. CDM predicts the formation of cuspy halos—dense, concentrated regions of dark matter at the center of galaxies and clusters.
• However, observations of galactic halos show a core (i.e., a more spread-out, less concentrated distribution of dark matter) rather than the predicted cusp. This discrepancy is known as the core-cusp problem.
• The formation of large-scale structures like superclusters and voids is influenced by the behavior of dark matter at smaller scales. The core-cusp problem raises the possibility that dark matter behaves differently than predicted by standard CDM, particularly in smaller systems like dwarf galaxies.

2. Self-Interacting Dark Matter (SIDM)

• Self-interacting dark matter (SIDM) proposes that dark matter particles interact with each other via a new force, in addition to gravity. These interactions would cause dark matter to redistribute within galaxies and clusters, smoothing out the central density profiles and potentially resolving the core-cusp problem.
• SIDM models predict that dark matter halos should have a less cuspy and more uniform distribution in the centers of galaxies and that they could affect the dynamics of galaxy formation and clustering. This would also influence the observed LSS, particularly in terms of the clustering of galaxies and the distribution of voids.

3. Tension Between Simulations and Observations

• Cosmological simulations based on CDM predict that dark matter should form very dense halos around galaxies, leading to structures like galaxy clusters with a high concentration of dark matter at the center.
• Observations of galaxy clusters and other large-scale structures, however, do not always match these predictions, particularly at smaller scales. This tension points to the possibility that dark matter interactions (such as those in SIDM) might be altering the way galaxies and clusters form, leading to a less concentrated distribution of dark matter and a smoothing of smaller-scale structures.

Role of Future Surveys, Like EUCLID

The EUCLID mission, set to launch in the near future, will be one of the most important tools for resolving tensions between cosmological simulations and observations of large-scale structure. Here’s how it will help:

1. Measuring the Distribution of Galaxies and Clusters

• EUCLID is designed to measure the distribution of galaxies and galaxy clusters across large areas of the sky with great precision. By accurately mapping out the 3D distribution of galaxies and clusters, EUCLID will provide data that can be compared to simulations of structure formation under different dark matter models.
• By comparing the observed distribution of galaxies and clusters to predictions made by simulations using SIDM and CDM, EUCLID will help identify which model most accurately explains the observed data. The mission will offer insights into how dark matter affects the growth of structures at large scales.

2. Constraining Dark Matter Properties

• EUCLID will also help constrain the properties of dark matter, including its interaction rate and mass, by providing detailed data on the growth of cosmic structures and how they evolve over time.
• The mission will focus on measuring the distortions in the cosmic structure due to the presence of dark energy and dark matter. By studying the shape of galaxy clusters and superclusters, voids, and the large-scale distribution of galaxies, EUCLID will help test whether dark matter behaves as predicted by CDM or whether SIDM models are needed to explain the observed discrepancies.

3. Mapping Cosmic Voids and the Impact of Dark Matter

• One of the key areas where SIDM may differ from CDM is in the formation and distribution of voids—large regions of space with very few galaxies.
• SIDM would lead to a different distribution of dark matter in the universe, which in turn would affect the number, size, and distribution of voids. EUCLID‘s precision in mapping these voids will help determine whether the void distribution matches predictions from simulations based on CDM or whether alternative models like SIDM can better explain the observed patterns.

4. Weak Lensing and Gravitational Effects

• EUCLID will measure weak gravitational lensing, where the gravitational influence of large structures (such as galaxy clusters) bends the light from more distant objects. This technique is sensitive to the distribution of dark matter because it measures how dark matter affects the curvature of space-time.
• This will allow EUCLID to provide direct measurements of the dark matter content in galaxy clusters and large-scale structures. The way that dark matter halos are distributed around galaxies and clusters will help constrain whether SIDM or CDM better explains the observed data.

The large-scale structure of the universe presents a critical challenge to our understanding of dark matter, particularly in terms of the formation of superclusters and voids. The tension between predictions from cold dark matter (CDM) simulations and actual observations of galactic clustering and the distribution of voids has led to the exploration of alternative models, such as self-interacting dark matter (SIDM).

Future surveys, particularly the EUCLID mission, will play a pivotal role in resolving these tensions. By providing detailed measurements of the distribution of galaxies, voids, and galaxy clusters, along with weak lensing data, EUCLID will offer new insights into the nature of dark matter, testing the predictions of both SIDM and CDM models. Ultimately, these findings will help to refine our understanding of the cosmological parameters that govern the growth of structures in the universe and lead to a better grasp of dark matter’s role in shaping the cosmos.

The dark matter “core-cusp” problem refers to the discrepancy between predictions made by Cold Dark Matter (CDM) simulations and the actual observed distribution of dark matter in the centers of galaxy halos, especially in the Local Group. In CDM models, simulations predict that dark matter should form cusps (sharply increasing density) in the inner regions of galaxy halos, particularly in smaller galaxies. However, observations suggest that many small galaxies exhibit cores (flattened density profiles) instead of the predicted cusps. This discrepancy creates tension between CDM-based simulations and the observed distribution of galactic halos, especially at smaller scales, and challenges the adequacy of CDM in explaining the detailed structure of galaxies.

Impact on Cold Dark Matter (CDM) Simulations

• Predicted Cusp Profiles: In the CDM paradigm, the gravitational collapse of dark matter during the formation of halos leads to a steep increase in density toward the center, resulting in a cusp in the central regions of smaller galaxies.
• Observed Cores: However, many dwarf galaxies and satellite galaxies in the Local Group show evidence of core-like profiles (a smooth, flattened density near the center). These observations suggest that the actual density is much lower than predicted by CDM simulations, particularly in the central regions of these small galaxies.

The core-cusp problem highlights that the CDM model may not fully account for the observed galactic structures, especially at small scales. This discrepancy undermines the confidence in CDM as the sole explanation for galaxy formation and dark matter behavior.

Implications for Alternative Dark Matter Models

1. Self-Interacting Dark Matter (SIDM):
   • SIDM Theory: SIDM posits that dark matter particles interact with each other via self-interactions, unlike the weakly interacting particles assumed in CDM.
   • Effects on Structure Formation: The self-interactions in SIDM lead to more isotropic dark matter distributions, which help smooth out the cusps predicted by CDM. These interactions can transfer energy within the halo, causing the dark matter to redistribute and form cores rather than steep cusps in the central regions of galaxies.
   • Relevance to Core-Cusp Problem: SIDM could resolve the core-cusp problem by generating more core-like profiles in small galaxies. This has been suggested as a potential solution to the tension between CDM predictions and observed galaxy structures.
2. Fuzzy Dark Matter (FDM):
   • FDM Theory: Fuzzy dark matter consists of ultralight bosons, which behave more like waves rather than particles, leading to quantum effects that modify the behavior of dark matter at small scales.
   • Effects on Structure Formation: In FDM models, the wave-like nature of dark matter suppresses the formation of small-scale structure. At the center of galaxies, the quantum pressure of these bosons prevents the formation of steep density cusps, leading to core-like profiles.
   • Relevance to Core-Cusp Problem: The fuzzy nature of FDM helps in producing core-like profiles at small scales and could provide a natural explanation for the observed distribution of dark matter in dwarf galaxies and satellite galaxies in the Local Group, alleviating the core-cusp problem.

Contributions to the Growing Tension

• The core-cusp problem intensifies the tension between observations and CDM simulations at small scales. CDM predicts a much steeper dark matter density profile in the centers of galaxies, but observations show that many smaller galaxies (such as those in the Local Group) have much flatter, core-like profiles.
• The core-cusp problem adds weight to the argument that CDM alone may not be sufficient to explain small-scale structure formation, especially in the context of satellite galaxies and dwarf galaxies.

Implications for Structure Formation at Small Scales

• CDM: Predicts smaller, denser halos with cusps in the center, which might be inconsistent with the observed distribution of galaxies at small scales. These inconsistencies are particularly evident in satellite galaxies and ultra-faint dwarf galaxies, where the predicted number and distribution of satellite galaxies are often higher than observed.
• SIDM: By introducing self-interactions, SIDM provides a way to smooth out these cusps and create more realistic core profiles, improving the agreement between simulations and observations at small scales.
• FDM: The quantum nature of FDM suppresses small-scale power and leads to smoother, core-like profiles, offering an alternative to the steep cusps predicted by CDM and aligning better with observations at small scales.

The core-cusp problem significantly contributes to the growing tension between CDM simulations and observed galaxy structures, especially at small scales. It challenges the CDM model’s predictions of dark matter density profiles in smaller galaxies. Alternative models such as Self-Interacting Dark Matter (SIDM) and Fuzzy Dark Matter (FDM) offer potential solutions by producing core-like profiles, which align better with the observed distribution of satellite and dwarf galaxies. These models suggest that dark matter’s properties might differ from the assumptions of CDM, especially at smaller scales, providing an avenue for resolving current discrepancies in galaxy formation theories.

The building blocks of proteins are amino acids. These are organic molecules that combine in various sequences to form proteins. Here’s an overview:

Structure of Amino Acids

• Central Carbon Atom (C): Forms the core of the molecule.
• Amino Group ($-N{H}_2-NH\_2$​): A functional group containing nitrogen and hydrogen.
• Carboxyl Group ($-COOH-COOH$): A functional group that makes the molecule acidic.
• Hydrogen Atom ($HH$): Attached to the central carbon.
• R Group (Side Chain): A variable group that determines the unique properties of each amino acid.

Types of Amino Acids

1. Essential Amino Acids: Cannot be synthesized by the body and must be obtained from the diet (e.g., leucine, valine, lysine).
2. Non-Essential Amino Acids: Can be produced by the body (e.g., alanine, glutamic acid).
3. Conditionally Essential Amino Acids: Usually non-essential but may become essential in certain conditions (e.g., arginine during illness).

Formation of Proteins

1. Peptide Bonds:
   • Amino acids link together via peptide bonds in a condensation reaction (removing a water molecule).
   • This forms chains of amino acids called polypeptides.
2. Protein Structure:
   • Primary Structure: Sequence of amino acids in a chain.
   • Secondary Structure: Folding into alpha-helices or beta-sheets due to hydrogen bonding.
   • Tertiary Structure: 3D folding of the entire polypeptide chain.
   • Quaternary Structure: Association of multiple polypeptide chains.

Role of Proteins

Proteins are vital for:

• Enzyme activity
• Structural support (e.g., collagen)
• Transport (e.g., hemoglobin)
• Communication (e.g., hormones like insulin)
• Immune response (e.g., antibodies)

Proteins’ function and diversity stem from the sequence and arrangement of these amino acid building blocks.