{ "info": { "author": "Javier Carron Duque", "author_email": "javier.carron@uniroma1.it", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "# MTNeedlet\n\nThis is a Python Package aimed at the use of needlets to filter spherical maps,\ndetecting the maxima within the maps and analysing them using a multiple\ntesting approach.\n\nThe documentation and information on the installation can be found at https://javicarron.github.io/mtneedlet/\n\nFor more information on the theoretical background that inspired this work, see:\n\nCheng, D., Cammarota, V., Fantaye, Y., Marinucci, D., & Schwartzman, A. (2016). Multiple testing of local maxima for detection of peaks on the (celestial) sphere. *Bernoulli, in press*, arXiv preprint arXiv:1602.08296.\n\nCarron Duque, J., Buzzelli, A., Fantaye, Y., Marinucci, D., Schwartzman, A., & Vittorio, N. (2019). Point Source Detection and False Discovery Rate Control on CMB Maps. arXiv preprint arXiv:1902.06636.\n\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "mtneedlet", "package_url": "https://pypi.org/project/mtneedlet/", "platform": "", "project_url": "https://pypi.org/project/mtneedlet/", "project_urls": null, "release_url": "https://pypi.org/project/mtneedlet/0.0.3/", "requires_dist": [ "numpy", "healpy", "matplotlib", "scipy", "pandas" ], "requires_python": "", "summary": "A Python package for needlet filtering and Multiple Testing", "version": "0.0.3" }, "last_serial": 5353398, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "913e720f7583539369ca14f965bfb8ec", "sha256": "e08c7820d5dd9241bdd9c564ba3e24e54ac3c333fab6e54532a2004f507c696f" }, "downloads": -1, "filename": "mtneedlet-0.0.1-py3-none-any.whl", "has_sig": false, "md5_digest": "913e720f7583539369ca14f965bfb8ec", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 12643, "upload_time": "2019-04-16T12:04:41", "url": "https://files.pythonhosted.org/packages/da/87/7cfa5438a12d4893d7e7bcd99a5e6d1cf9b0bbdaca3ed28a2f6eefb0d640/mtneedlet-0.0.1-py3-none-any.whl" } ], "0.0.2": [ { "comment_text": "", "digests": { "md5": "8757379288a59be3dc59104b35710731", "sha256": "352909a2e5965016639874c16be2049c5a608d78212b89197070646f9fa7ae9b" }, "downloads": -1, "filename": "mtneedlet-0.0.2-py3-none-any.whl", "has_sig": false, "md5_digest": "8757379288a59be3dc59104b35710731", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 12648, "upload_time": "2019-04-16T12:08:47", "url": "https://files.pythonhosted.org/packages/e2/79/eb86e89d8c6c6a24ee99fff935f80973622d0c8f55b08e1c95d7e1d3baf8/mtneedlet-0.0.2-py3-none-any.whl" } ], "0.0.3": [ { "comment_text": "", "digests": { "md5": "f30fad932bf85977db0f2fedb9568c2b", "sha256": "3be696ff7b995764fa52fa86a72dc18e99abf8812e04f7d59077c546205e787e" }, "downloads": -1, "filename": "mtneedlet-0.0.3-py3-none-any.whl", "has_sig": false, "md5_digest": "f30fad932bf85977db0f2fedb9568c2b", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 12783, "upload_time": "2019-06-03T16:03:41", "url": "https://files.pythonhosted.org/packages/b7/f6/30698749b44b0e22a05d9de40d23c7ec7e03622a525100ce772e2c5488af/mtneedlet-0.0.3-py3-none-any.whl" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "f30fad932bf85977db0f2fedb9568c2b", "sha256": "3be696ff7b995764fa52fa86a72dc18e99abf8812e04f7d59077c546205e787e" }, "downloads": -1, "filename": "mtneedlet-0.0.3-py3-none-any.whl", "has_sig": false, "md5_digest": "f30fad932bf85977db0f2fedb9568c2b", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 12783, "upload_time": "2019-06-03T16:03:41", "url": "https://files.pythonhosted.org/packages/b7/f6/30698749b44b0e22a05d9de40d23c7ec7e03622a525100ce772e2c5488af/mtneedlet-0.0.3-py3-none-any.whl" } ] }