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sherpa/sherpa: Sherpa 4.11.1

Doug Burke; Omar Laurino; dtnguyen2; Jamie Budynkiewicz; Tom Aldcroft; Aneta Siemiginowska; Christoph Deil; wmclaugh; Brigitta Sipocz; Katrin Leinweber


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    "description": "Sherpa 4.11.1\n<p>This release of Sherpa introduces several functional improvements and bug fixes,\nin particular Sherpa now has support for:</p>\n<ul>\n<li>asymmetric error bars</li>\n<li>PSFs with better pixel resolution than the data</li>\n<li>running optimization in parallel</li>\n</ul>\nDetails\n630 Fix \"get_int_proj does not work when recalc=True\" (#543)\n<pre><code>get_int_proj did not work when recalc=True on Python 3. This has now been fixed.\n</code></pre>\n615 Asymmetric Errors\n<pre><code>Sherpa now supports asymmetric error bars. Errors can be read through a new\n</code></pre>\n<p><code>load_ascii_with_errors</code> high level function, or through the new\n<code>Data1DAsymmetricErrs</code> class. Sherpa uses bootstrap for estimating the uncertainties.</p>\n585 plot pvalue\n<pre><code>Updates to utilize the appropriate response files (ARF and RMF) for X-ray spectra\nand changes to the p_value output to 1/(number of simulations) when p_value is 0\nand the number of simulations in not large enough.\n</code></pre>\n596 Run optimization algorithms over multiple cores\n<pre><code>This PR enables the user to run the optimization algorithms (DifEvo, LevMar,\n</code></pre>\n<p>and NelderMead) on multi-cores.</p>\n607 PSF rebinning (fix #43)\n<pre><code>Sherpa now supports using a PSF with a finer resolution than 2D images. If Sherpa\n</code></pre>\n<p>detects that the PSF has a smaller pixel size than the data, it will evaluate the\nmodel on a \"PSF Space\" that has the same resolution as the PSF and the same footprint as\nthe data, then rebin the evaluated model back to the data space for calculating the statistic.</p>\n614 Refactor data classes (fix #563, #627, #628)\n<pre><code>Sherpa's basic data classes have been refactored and cleaned up to help\n</code></pre>\n<p>facilitating fixing bugs and implementing new features. New tests were added to reduce\nthe chances of introducing regressions in the future.</p>\n612 Fix #609 User Model: unable to change parameter values\n<pre><code>A regression introduced in Sherpa 4.10.0 presented users from change\n</code></pre>\n<p>user-model parameter values through direct access. This issue has been\nfixed. Several tests were added to reduce the chance of regressions in\nthe future.</p>\n<p>Fix #514 - the command line tool <code>sherpa_smoke</code> in the conda package now correctly honors\ncommand line arguments.</p>", 
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        "name": "Doug Burke"
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        "affiliation": "Smithsonian Astrophysical Observatory", 
        "name": "Omar Laurino"
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