added separation to nearby sources, set nearby source search radius to 2x map radius
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e01941f06b
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20
views.py
20
views.py
@ -167,6 +167,13 @@ class UpperLimitView(APIView):
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map_radius_value = request.query_params.get("mr")
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map_radius_value = request.query_params.get("mr")
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# default value if not specified in the query
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# get hpids within a circle of radius sqrt(2) * outer annulus radius
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if map_radius_value is None:
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map_radius = annulus_outer * np.sqrt(2)
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else:
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map_radius = float(map_radius_value)
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# CREATE SKYCOORD, CONVERT TO GALACTIC BECAUSE THE HEALPIX
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# CREATE SKYCOORD, CONVERT TO GALACTIC BECAUSE THE HEALPIX
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# MAP ITSELF WAS MADE IN GALACTIC COORDINATES
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# MAP ITSELF WAS MADE IN GALACTIC COORDINATES
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# **************************************************************
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# **************************************************************
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@ -362,7 +369,7 @@ class UpperLimitView(APIView):
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# NEARBY SOURCES CHECK
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# NEARBY SOURCES CHECK
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# ****************************************************************
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# ****************************************************************
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radius_as = 120
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radius_as = map_radius * 2
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radius_deg = radius_as / 3600
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radius_deg = radius_as / 3600
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dec_min = max(dec - radius_deg, -90)
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dec_min = max(dec - radius_deg, -90)
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@ -384,7 +391,8 @@ class UpperLimitView(APIView):
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# refine belt to circular region using astropy separation
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# refine belt to circular region using astropy separation
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for catsrc in belt_sources:
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for catsrc in belt_sources:
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catsrc_coord = SkyCoord(catsrc.ra_deg, catsrc.dec_deg, unit="deg")
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catsrc_coord = SkyCoord(catsrc.ra_deg, catsrc.dec_deg, unit="deg")
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if center_coord.separation(catsrc_coord).deg > radius_deg:
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separation = center_coord.separation(catsrc_coord).deg
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if separation > radius_deg:
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continue
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continue
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f = catsrc.flux or 0.0
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f = catsrc.flux or 0.0
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for lb in reversed(sorted_bounds):
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for lb in reversed(sorted_bounds):
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@ -406,19 +414,13 @@ class UpperLimitView(APIView):
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"new_xray": catsrc.new_xray,
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"new_xray": catsrc.new_xray,
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"source_type": catsrc.source_type,
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"source_type": catsrc.source_type,
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"mask_radius_deg": mask_radius,
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"mask_radius_deg": mask_radius,
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"separation_deg": separation,
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}
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}
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)
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)
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# REGION IMAGE SERVING
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# REGION IMAGE SERVING
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# ****************************************************************
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# ****************************************************************
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# default value if not specified in the query
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# get hpids within a circle of radius sqrt(2) * outer annulus radius
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if map_radius_value is None:
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map_radius = annulus_outer * np.sqrt(2)
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else:
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map_radius = float(map_radius_value)
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map_pixel_list = hp.query_disc(
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map_pixel_list = hp.query_disc(
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nside=4096,
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nside=4096,
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vec=src_vec,
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vec=src_vec,
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