astinc.py Theoretical Astronomical Explorer and Cosmological Incongruency Elucidation Engine 1.1

Please enjoy this theoretical astronomical matter exploration tool, some findings may be hypothetically reasonable.

import numpy as np
import matplotlib.pyplot as plt
import pubchempy as pcp
import requests
import json
import time
import re
import warnings

# Suppress Astroquery's InsecureRequestWarning when connecting to some services
from requests.packages.urllib3.exceptions import InsecureRequestWarning
warnings.simplefilter('ignore', InsecureRequestWarning)

# --- NEW: Import pystac-client for STAC database query ---
from pystac_client import Client
from datetime import datetime

# --- Import Astroquery modules for international databases ---
from astroquery.gaia import Gaia
from astroquery.cadc import Cadc
from astroquery.utils.tap import TapPlus
from astroquery.ned import Ned
from astropy import units as u
from astropy.coordinates import SkyCoord
from astropy.table import Table

# --- Scientific Constants ---
CURIE_TO_BQ = 3.7e10  # Conversion factor: 1 Curie = 3.7 x 10^10 Becquerels
LN2 = np.log(2)  # Natural logarithm of 2, used in half-life calculations

STEFAN_BOLTZMANN_CONSTANT = 5.670374419e-8  # Stefan-Boltzmann constant in W/(m^2·K^4)
PLANCK_CONSTANT = 6.62607015e-34  # Planck's constant in J·s
BOLTZMANN_CONSTANT = 1.380649e-23  # Boltzmann constant in J/K
C = 299792458  # Speed of light in m/s
HBAR = 1.054571817e-34  # Reduced Planck constant in J·s
LAMBDA_C = HBAR / (np.pi * C)  # Compton wavelength factor

# --- Relativistic Effects & Quantum-Gravity Bridge ---

def calculate_relativistic_comparison():
    """Calculates and prints relativistic and classical energy comparisons."""
    print("\n--- Relativistic Effects on Matter & Radiation ---")
    print("This function compares different energy models and their effects.")

    mass_kg = 1.0  # kg
    c_speed = 299792458  # m/s

    # Relativistic energy
    def _relativistic_energy(m, c):
        return m * c**2

    # Mass-energy equivalence
    mass_energy = _relativistic_energy(mass_kg, c_speed)
    print(f"Mass-energy equivalence for a {mass_kg} kg object: {mass_energy:.4e} Joules")

    # Blackbody radiation
    def _blackbody_radiation(T):
        return STEFAN_BOLTZMANN_CONSTANT * T**4

    T_surface = 5778  # Temperature of the Sun's surface in Kelvin
    solar_radiation = _blackbody_radiation(T_surface)
    print(f"Blackbody radiation from a surface at {T_surface} K: {solar_radiation:.4e} W/m^2")

def calculate_quantum_gravity_bridge():
    """Performs a calculation for the hypothetical quantum-gravity bridge."""
    print("\n--- Hypothetical Quantum-Gravity Bridge ---")
    print("This section explores a conceptual link between quantum and gravitational phenomena.")

    def _corroborate_gamma_data(gamma_type, data):
        """Mock function to simulate data corroboration."""
        print(f"Corroborating data for {gamma_type}...")
        for source, value in data.items():
            if abs(value - 1.0) > 0.1:
                print(f"  Warning: Data from {source} deviates significantly.")
            else:
                print(f"  Success: Data from {source} is within expected range.")

    test_data = {
        'source_A': 1.01,
        'source_B': 0.98,
        'source_C': 1.15
    }
    _corroborate_gamma_data("quantum_gravity_gamma", test_data)

# --- Equation of State (EOS) & Stability ---

def analyze_eos_stability():
    """Analyzes and prints information on Equation of State (EOS) and stability."""
    print("\n--- Equation of State (EOS) & Stability ---")

    def _analyze_eos_stability_data(eos_type, stability_data):
        """Analyzes a single EOS data set."""
        print(f"Analyzing {eos_type} EOS for stability...")
        for point, value in stability_data.items():
            if value < 0:
                print(f"  Warning: Instability detected at {point} with value {value:.2f}.")
            else:
                print(f"  Stability confirmed at {point} with value {value:.2f}.")

    neutron_star_data = {'pressure_point_A': 10, 'pressure_point_B': -5}
    _analyze_eos_stability_data("neutron_star", neutron_star_data)

    white_dwarf_data = {'pressure_point_A': 5, 'pressure_point_B': 8}
    _analyze_eos_stability_data("white_dwarf", white_dwarf_data)


# --- Consolidated Database Queries ---

def fetch_gaia_data(ra, dec, radius):
    """Fetches data from the Gaia database."""
    print(f"\n--- Querying Gaia for RA:{ra}, DEC:{dec} ---")
    try:
        coord = SkyCoord(ra=ra, dec=dec, unit=(u.degree, u.degree))
        job = Gaia.query_object_async(coord, radius=u.Quantity(radius, u.deg))
        if job and isinstance(job, Table):
            print(f"Found {len(job)} Gaia sources.")
        else:
            print("No Gaia data found or query failed.")
    except Exception as e:
        print(f"Gaia query failed: {e}")

def fetch_cadc_data(target_name):
    """Fetches data from the CADC database."""
    print(f"\n--- Querying CADC for target '{target_name}' ---")
    try:
        cadc = Cadc()
        cadc.query_object(target_name)
        result = cadc.query_object(target_name, collection='CFHT')
        if result and len(result) > 0:
            print(f"Found {len(result)} CADC observations for {target_name}.")
        else:
            print("No CADC data found or query failed.")
    except Exception as e:
        print(f"CADC query failed: {e}")

def fetch_ned_data(target_name):
    """Fetches data from the NED database."""
    print(f"\n--- Querying NED for target '{target_name}' ---")
    try:
        result_table = Ned.query_object(target_name)
        if result_table and len(result_table) > 0:
            print(f"Found {len(result_table)} NED entries for {target_name}.")
        else:
            print("No NED data found or query failed.")
    except Exception as e:
        print(f"NED query failed: {e}")

def fetch_stac_data(ra, dec, start_date, end_date):
    """Fetches STAC catalog data."""
    print("\n--- Querying STAC Catalog ---")
    try:
        catalog = Client.open("https://earth-search.aws.element84.com/v1")
        search = catalog.search(
            intersects={"type": "Point", "coordinates": [ra, dec]},
            datetime=f"{start_date}T00:00:00Z/{end_date}T23:59:59Z",
        )
        item_collection = search.item_collection()
        print(f"Found {len(item_collection)} STAC items.")
    except Exception as e:
        print(f"STAC query failed: {e}")

def fetch_isro_data(target_name):
    """Simulates fetching data from a hypothetical ISRO database."""
    print(f"\n--- Querying Hypothetical ISRO Database for '{target_name}' ---")
    isro_data_url = "https://isro.gov.in/launcher"
    try:
        response = requests.get(isro_data_url)
        response.raise_for_status()
        print(f"Successfully connected to ISRO data endpoint.")
    except requests.exceptions.RequestException as e:
        print(f"ISRO data query failed: {e}")

def query_all_astronomical_databases():
    """Runs a consolidated query against all astronomical databases."""
    print("\n--- Committing Queries Against All Databases ---")
    
    # Example parameters
    ra = 180.0
    dec = -60.0
    target_name = "M104"
    start_date = "2023-01-01"
    end_date = "2023-12-31"
    
    fetch_gaia_data(ra, dec, 1.0)
    fetch_cadc_data(target_name)
    fetch_ned_data(target_name)
    fetch_stac_data(ra, dec, start_date, end_date)
    fetch_isro_data(target_name)

# --- Main Entry Point ---

if __name__ == "__main__":
    print("--- Astrophysics & EOS Stability Explorer (Simplified) ---")
    print("This program runs a full suite of analyses and database queries.")
    
    # Run the consolidated relativistic and quantum physics analysis
    calculate_relativistic_comparison()
    calculate_quantum_gravity_bridge()
    
    # Run the EOS analysis
    analyze_eos_stability()
    
    # Run the consolidated database queries
    query_all_astronomical_databases()

    print("\n--- All analyses and queries complete. ---")