|
11 | 11 | import os |
12 | 12 | from datetime import datetime |
13 | 13 | from importlib.metadata import version |
| 14 | +import numpy as np |
| 15 | +import healpy as hp |
14 | 16 |
|
15 | 17 | from astropy.io import fits |
16 | 18 | from astropy.io import ascii |
@@ -267,3 +269,102 @@ def read_dndz(file_path): |
267 | 269 | z_centers = bin_edges2centers(z_edges) |
268 | 270 |
|
269 | 271 | return z_centers, nz, z_edges |
| 272 | + |
| 273 | + |
| 274 | +def read_hp_mask(input_name, verbose=False): |
| 275 | + """Read Hp Mask. |
| 276 | +
|
| 277 | + Read healpy mask. |
| 278 | +
|
| 279 | + Parameters |
| 280 | + ---------- |
| 281 | + input_name : str |
| 282 | + input file name |
| 283 | + verbose : bool, optional |
| 284 | + verbose output if ``True``;; default is ``False`` |
| 285 | +
|
| 286 | + Returns |
| 287 | + ------- |
| 288 | + array |
| 289 | + mask values |
| 290 | + bool |
| 291 | + nest value (always ``False``) |
| 292 | + int |
| 293 | + nside |
| 294 | +
|
| 295 | + """ |
| 296 | + if verbose: |
| 297 | + print(f'Reading mask {input_name}...') |
| 298 | + |
| 299 | + nest = False |
| 300 | + |
| 301 | + # Open input mask |
| 302 | + mask, header= hp.read_map( |
| 303 | + input_name, |
| 304 | + h=True, |
| 305 | + nest=nest, |
| 306 | + ) |
| 307 | + for (key, value) in header: |
| 308 | + if key == 'ORDERING': |
| 309 | + if value == 'RING': |
| 310 | + if nest: |
| 311 | + raise ValueError( |
| 312 | + 'input mask has ORDENING=RING, set nest to False' |
| 313 | + ) |
| 314 | + elif value == 'NEST': |
| 315 | + if not nest: |
| 316 | + raise ValueError( |
| 317 | + 'input mask has ORDENING=NEST, set nest to True' |
| 318 | + ) |
| 319 | + |
| 320 | + # Get nside from header |
| 321 | + nside = None |
| 322 | + for key, value in header: |
| 323 | + if key == 'NSIDE': |
| 324 | + nside = int(value) |
| 325 | + if not nside: |
| 326 | + raise KeyError('NSIDE not found in FITS mask header') |
| 327 | + |
| 328 | + return mask, nest, nside |
| 329 | + |
| 330 | + |
| 331 | +def get_binned_area(ra, dec, nside=512, return_pix=False): |
| 332 | + """Get Binned Area. |
| 333 | + |
| 334 | + Return sky area corresponding to occupied pixels of binned catalogue. |
| 335 | +
|
| 336 | + Parameters |
| 337 | + ---------- |
| 338 | + ra : np.ndarray |
| 339 | + Right Ascension coordinates |
| 340 | + dec : np.ndarray |
| 341 | + Declination coordinates |
| 342 | + nside : int, optional |
| 343 | + nside for binning; default is 512 |
| 344 | + return_pix: bool, optional |
| 345 | + return valid pixel list if ``True``; default is ``False`` |
| 346 | + |
| 347 | + Returns |
| 348 | + ------- |
| 349 | + float |
| 350 | + area in square degrees |
| 351 | + list |
| 352 | + pixels of input data positions |
| 353 | + |
| 354 | + """ |
| 355 | + # Pixel list of input data |
| 356 | + pix = hp.ang2pix(nside, ra, dec, lonlat=True) |
| 357 | + |
| 358 | + # Number of occupied pixels |
| 359 | + Nocc = np.unique(pix).size |
| 360 | + |
| 361 | + # Pixel area in square degrees |
| 362 | + pix_area_deg2 = hp.nside2pixarea(nside, degrees=True) |
| 363 | + |
| 364 | + # Footprint area in square degrees |
| 365 | + area_deg2 = Nocc * pix_area_deg2 |
| 366 | + |
| 367 | + if return_pix: |
| 368 | + return area_deg2, pix |
| 369 | + else: |
| 370 | + return area_deg2 |
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