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general-databases.mdindex.mdipac-services.mdobservatory-archives.mdsolar-system-services.mdspace-mission-archives.mdspectroscopic-databases.mdsurvey-image-services.mdvo-services.md

space-mission-archives.mddocs/

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# Space Mission Archives

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Archives from space missions and satellites providing specialized astronomical data including gamma-ray, X-ray, infrared, ultraviolet, and optical observations. These archives offer unique datasets from space-based observatories with capabilities unavailable from ground-based telescopes.

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## Capabilities

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### ESA - European Space Agency Missions

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ESA missions provide access to data from major space telescopes including James Webb Space Telescope, Hubble Space Telescope, XMM-Newton, and other ESA-operated missions.

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```python { .api }

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from astroquery.esa.jwst import Jwst

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from astroquery.esa.hubble import Hubble

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from astroquery.esa.xmm_newton import XmmNewton

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# James Webb Space Telescope

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def query_object(name: str, radius: Union[Quantity, str] = None, **kwargs) -> Table:

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"""

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Query JWST archive for observations of a specific object.

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Parameters:

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- name: Name of the astronomical object

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- radius: Search radius around object

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- **kwargs: Additional query parameters

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Returns:

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Table with JWST observation metadata

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"""

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def query_region(coordinates: Union[SkyCoord, str], radius: Union[Quantity, str] = None) -> Table:

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"""

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Query JWST archive for observations in a sky region.

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Parameters:

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- coordinates: Center coordinates

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- radius: Search radius

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Returns:

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Table with JWST observations in the region

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"""

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# Hubble Space Telescope

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def query_object(name: str, radius: Union[Quantity, str] = None) -> Table:

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"""

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Query Hubble archive via ESA for observations of an object.

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Parameters:

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- name: Object name

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- radius: Search radius

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Returns:

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Table with Hubble observation records

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"""

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# XMM-Newton

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def query_object(name: str, radius: Union[Quantity, str] = None) -> Table:

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"""

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Query XMM-Newton archive for X-ray observations.

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Parameters:

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- name: Object name

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- radius: Search radius

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Returns:

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Table with XMM-Newton observation metadata

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"""

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# Configuration

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from astroquery.esa import conf

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conf.server: str # ESA archive server

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conf.timeout: int = 60 # Connection timeout

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```

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Usage examples:

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```python

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from astroquery.esa.jwst import Jwst

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from astroquery.esa.hubble import Hubble

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import astropy.units as u

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from astropy.coordinates import SkyCoord

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# Query JWST observations

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jwst_obs = Jwst.query_object('NGC 628', radius=2*u.arcmin)

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print(f"Found {len(jwst_obs)} JWST observations")

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# Query Hubble archive through ESA

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hubble_obs = Hubble.query_object('M51', radius=5*u.arcmin)

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print(f"Found {len(hubble_obs)} Hubble observations")

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# Region query for multiple missions

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coords = SkyCoord('12h30m43s', '+12d23m28s', frame='icrs')

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jwst_region = Jwst.query_region(coords, radius=30*u.arcsec)

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```

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### Fermi - Fermi Gamma-ray Space Telescope

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Fermi LAT (Large Area Telescope) provides access to gamma-ray observations of the sky, including both survey data and targeted observations of gamma-ray sources.

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```python { .api }

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from astroquery.fermi import Fermi

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def query_object(object_name: str, energyrange_MeV: Tuple[float, float] = (100, 100000),

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obsdates: str = None, timesys: str = 'MET') -> Table:

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"""

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Query Fermi LAT for gamma-ray observations of an object.

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Parameters:

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- object_name: Name of the astronomical object

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- energyrange_MeV: Energy range in MeV as (min, max) tuple

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- obsdates: Observation date range

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- timesys: Time system ('MET', 'UTC')

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Returns:

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Table with Fermi LAT observation information

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"""

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def query_region(coordinates: Union[SkyCoord, str], radius: Union[Quantity, str] = None,

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energyrange_MeV: Tuple[float, float] = (100, 100000)) -> Table:

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"""

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Query Fermi LAT for gamma-ray data in a sky region.

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Parameters:

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- coordinates: Center coordinates

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- radius: Search radius

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- energyrange_MeV: Energy range in MeV

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Returns:

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Table with Fermi LAT data in the specified region

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"""

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def get_lightcurve(ra: float, dec: float, energyrange_MeV: Tuple[float, float] = (100, 100000),

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binsize_days: float = 7.0) -> Table:

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"""

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Get gamma-ray light curve for a position.

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Parameters:

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- ra: Right ascension in degrees

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- dec: Declination in degrees

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- energyrange_MeV: Energy range in MeV

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- binsize_days: Time bin size in days

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Returns:

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Table with light curve data

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"""

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# Configuration

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from astroquery.fermi import conf

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conf.server: str # Fermi server URL

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conf.timeout: int = 60 # Connection timeout

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```

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Usage examples:

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```python

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from astroquery.fermi import Fermi

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import astropy.units as u

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from astropy.coordinates import SkyCoord

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# Query gamma-ray observations of a blazar

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result = Fermi.query_object('3C 279', energyrange_MeV=(1000, 10000))

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print(f"Found {len(result)} Fermi observations")

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# Region query for gamma-ray sources

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coords = SkyCoord('12h30m43s', '+12d23m28s', frame='icrs')

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gamma_sources = Fermi.query_region(coords, radius=1*u.deg,

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energyrange_MeV=(100, 100000))

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# Get light curve for Crab pulsar

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lightcurve = Fermi.get_lightcurve(83.6331, 22.0145,

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energyrange_MeV=(100, 100000),

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binsize_days=30.0)

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print(f"Light curve has {len(lightcurve)} time bins")

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```

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### ESASky - ESA Sky Service

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ESASky provides access to multi-mission data from ESA and partner missions with an integrated view of astronomical observations across multiple wavelengths.

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```python { .api }

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from astroquery.esasky import ESASky

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def query_object_catalogs(object_name: str, catalogs: List[str] = None,

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radius: Union[Quantity, str] = None) -> Dict[str, Table]:

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"""

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Query ESASky catalogs for sources around an object.

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Parameters:

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- object_name: Name of the astronomical object

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- catalogs: List of catalog names to search

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- radius: Search radius

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Returns:

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Dictionary with catalog names as keys and Tables as values

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"""

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def query_region_catalogs(coordinates: Union[SkyCoord, str],

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radius: Union[Quantity, str] = None,

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catalogs: List[str] = None) -> Dict[str, Table]:

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"""

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Query ESASky catalogs in a sky region.

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Parameters:

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- coordinates: Center coordinates

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- radius: Search radius

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- catalogs: Catalog names to search

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Returns:

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Dictionary with catalog results

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"""

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def get_images(position: Union[SkyCoord, str], radius: Union[Quantity, str] = None,

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missions: List[str] = None) -> Dict[str, List]:

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"""

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Download images from ESA missions.

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Parameters:

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- position: Target position

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- radius: Image size/radius

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- missions: List of mission names

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Returns:

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Dictionary with mission names and corresponding image data

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"""

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# Configuration

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from astroquery.esasky import conf

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conf.server: str # ESASky server URL

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conf.timeout: int = 60 # Connection timeout

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```

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Usage examples:

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```python

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from astroquery.esasky import ESASky

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import astropy.units as u

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from astropy.coordinates import SkyCoord

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# Query multiple catalogs around an object

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catalogs = ESASky.query_object_catalogs('M31',

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radius=10*u.arcmin,

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catalogs=['Gaia', '2MASS'])

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for cat_name, table in catalogs.items():

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print(f"{cat_name}: {len(table)} sources")

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# Get images from multiple missions

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coords = SkyCoord('00h42m44s', '+41d16m09s', frame='icrs')

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images = ESASky.get_images(coords, radius=5*u.arcmin,

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missions=['Hubble', 'Spitzer'])

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for mission, img_list in images.items():

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print(f"{mission}: {len(img_list)} images")

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```

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### HEASARC - High Energy Astrophysics Science Archive

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HEASARC provides access to data from high-energy astrophysics missions including X-ray, gamma-ray, and extreme ultraviolet observations from missions like RXTE, Swift, NuSTAR, and others.

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```python { .api }

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from astroquery.heasarc import Heasarc

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def query_object(object_name: str, mission: str,

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time: str = None, radius: Union[Quantity, str] = None) -> Table:

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"""

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Query HEASARC for high-energy observations of an object.

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Parameters:

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- object_name: Name of the astronomical object

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- mission: Mission name (e.g., 'swift', 'rxte', 'nustar')

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- time: Time constraint

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- radius: Search radius

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Returns:

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Table with high-energy observation records

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"""

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def query_region(coordinates: Union[SkyCoord, str], mission: str,

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radius: Union[Quantity, str] = None, time: str = None) -> Table:

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"""

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Query HEASARC for observations in a sky region.

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Parameters:

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- coordinates: Center coordinates

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- mission: Mission name

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- radius: Search radius

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- time: Time constraint

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Returns:

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Table with observations in the specified region

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"""

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def get_tables() -> List[str]:

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"""

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Get list of available HEASARC tables/missions.

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Returns:

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List of available table names

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"""

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# Configuration

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from astroquery.heasarc import conf

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conf.server: str # HEASARC server URL

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conf.timeout: int = 60 # Connection timeout

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```

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Usage examples:

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```python

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from astroquery.heasarc import Heasarc

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import astropy.units as u

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from astropy.coordinates import SkyCoord

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# Query Swift observations of a source

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swift_obs = Heasarc.query_object('Cygnus X-1', mission='swift')

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print(f"Found {len(swift_obs)} Swift observations")

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# Region query for NuSTAR observations

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coords = SkyCoord('19h58m21.68s', '+35d12m05.8s', frame='icrs')

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nustar_obs = Heasarc.query_region(coords, mission='nustar',

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radius=2*u.arcmin)

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# Get available missions/tables

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tables = Heasarc.get_tables()

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print(f"Available tables: {len(tables)}")

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x_ray_tables = [t for t in tables if 'xray' in t.lower()]

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```

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## Common Types

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```python { .api }

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from astropy.table import Table

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from astropy.coordinates import SkyCoord

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from astropy.units import Quantity

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from typing import Union, List, Dict, Tuple, Optional

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# Input types

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coordinates: Union[SkyCoord, str] # Sky coordinates

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object_name: str # Astronomical object name

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radius: Union[Quantity, str, None] # Search radius

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mission: str # Mission/instrument name

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# Energy/wavelength parameters

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energyrange_MeV: Tuple[float, float] # Energy range for gamma-ray

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time: str # Time constraints

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binsize_days: float # Time bin size

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# Return types

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Table # Single table result

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Dict[str, Table] # Multiple catalog results

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Dict[str, List] # Mission image data

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List[str] # Available tables/missions

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```