<?xml version='1.0' encoding='UTF-8'?>
<rss xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/" version="2.0"><channel><title>Stargazing Adventures</title><link>https://xiaosy-astro.github.io</link><description>记录一些有用的教程</description><copyright>Stargazing Adventures</copyright><docs>http://www.rssboard.org/rss-specification</docs><generator>python-feedgen</generator><image><url>https://github.githubassets.com/favicons/favicon.svg</url><title>avatar</title><link>https://xiaosy-astro.github.io</link></image><lastBuildDate>Sat, 07 Feb 2026 13:39:04 +0000</lastBuildDate><managingEditor>Stargazing Adventures</managingEditor><ttl>60</ttl><webMaster>Stargazing Adventures</webMaster><item><title>AutoPhOT 安装指南（Mac Apple Silicon）</title><link>https://xiaosy-astro.github.io/post/AutoPhOT%20-an-zhuang-zhi-nan-%EF%BC%88Mac%20Apple%20Silicon%EF%BC%89.html</link><description>这份说明记录了在 Apple Silicon 设备上成功安装 AutoPhOT 的完整步骤，
适用于需要全功能（Astrometry.net + HOTPANTS + PyZOGY）的场景。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/AutoPhOT%20-an-zhuang-zhi-nan-%EF%BC%88Mac%20Apple%20Silicon%EF%BC%89.html</guid><pubDate>Sat, 07 Feb 2026 13:38:37 +0000</pubDate></item><item><title>盘-冕几何辐射成分示意图</title><link>https://xiaosy-astro.github.io/post/pan---mian-ji-he-fu-she-cheng-fen-shi-yi-tu.html</link><description>&lt;img width='800' height='200' alt='Image' src='https://github.com/user-attachments/assets/1229cb7f-6cb8-412f-9ca7-d1ac8f3dd372' /&gt;

Schematic illustration of (a) a black hole-disk-corona model including thermal, Compton, and reflection components, and (b) a black hole disk model with reflection component from self-irradiation of the disk (thermal returning) and iterative reflection (reflection returning). The color
gradient in the disk indicates that the temperature increases towards the black hole.

As shown in Fig. 1(a), the observed spectrum of black hole
XRBs typically consists of three primary components: (i) a thermal component originating from a geometrically thin, optically thick accretion disk (Shakura &amp; Sunyaev 1973; Page &amp; Thorne 1974) ; (ii) a Comptonized component produced by a hot corona that inverse-Compton scatters soft disk photons (Thorne &amp; Price 1975; Shapiro et al. 1976) ; and (iii) a reflection component resulting from the illumination of the disk by the corona (George &amp; Fabian 1991). The disk is thought to be cold as it can efficiently emit radiation and its thermal spectrum peaks in the soft X-rays (∼ 1 keV). The coronal spectrum takes a power-law like form that can extend to above 100 keV.

A particularly important effect in this context is returning radiation (or self-irradiation) (purple and brown arrows in
Fig. 1(b)), i.e., disk emission that is bent back onto the accretion disk by the strong gravitational field of the black hole. The
first calculations of this effect were performed by Cunningham (1976) in the context of thermal disk spectra, while Li et al.(2005) later showed that it can mimic the effect of a higher accretion rate.

credit: [Modeling X-ray reflection spectra from returning radiation:application to 4U 1630–47](https://arxiv.org/pdf/2601.14860)。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/pan---mian-ji-he-fu-she-cheng-fen-shi-yi-tu.html</guid><pubDate>Fri, 23 Jan 2026 01:57:15 +0000</pubDate></item><item><title>macOS下载安装KerrC</title><link>https://xiaosy-astro.github.io/post/macOS-xia-zai-an-zhuang-KerrC.html</link><description>## 一、准备
### 1. 下载KerrC
```shell
git clone https://gitlab.com/krawcz/kerrc-x-ray-fitting-code.git
```

### 2. 安装hdf5

```shell
brew install hdf5
```
### 3. 下载安装sherpa

```shell
conda create -n sherpa -c https://cxc.cfa.harvard.edu/conda/sherpa -c conda-forge sherpa
conda activate sherpa
conda install -c conda-forge matplotlib astropy
```
### 4. 下载和安装boost

下载
```shell
wget https://archives.boost.io/release/1.90.0/source/boost_1_89_0.tar.bz2
```
安装
```shell
cd boost_1_89_0
./bootstrap.sh --with-libraries=python
./b2 -j4
# 屏幕打印
# The Boost C++ Libraries were successfully built!
# The following directory should be added to compiler include paths:
# /Users/btwang/workshop/code/polarized_radiation_transfer_code/kerrc-x-ray-fitting-code/boost_1_89_0
# The following directory should be added to linker library paths:
# /Users/btwang/workshop/code/polarized_radiation_transfer_code/kerrc-x-ray-fitting-code/boost_1_89_0/stage/lib
```

## 二、编译
在进入kerrc-x-ray-fitting-code/raytracing/目录，临时把 Homebrew 放到前面（Apple Silicon 一般是 /opt/homebrew）：
```shell
export PATH='/opt/homebrew/bin:$PATH'
which h5c++
# 现在应该是 /opt/homebrew/bin/h5c++
```
```shell
make
# 最后打印的内容：5 warnings generated.
# h5c++ -lm aliev.o glampedakis.o kerr.o metric.o pani.o wind.o N.o corona.o dataWriter.o xTrack.o -o xTrack
```
## 三、运行
使用以下类型的语句运行代码： ./xTrack -d -D -K -n 2000 -r -10 -c 0000000 -f outdir 这些选项在代码 xTrack.cpp 中进行了解释。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/macOS-xia-zai-an-zhuang-KerrC.html</guid><pubDate>Wed, 21 Jan 2026 06:37:52 +0000</pubDate></item><item><title>FXTSoft 在 macOS (Apple Silicon) 上安装成功步骤总结</title><link>https://xiaosy-astro.github.io/post/FXTSoft%20-zai-%20macOS%20%28Apple%20Silicon%29%20-shang-an-zhuang-cheng-gong-bu-zou-zong-jie.html</link><description>环境背景

	•	机器：Apple Silicon（M 系列）
	•	系统：macOS
	•	目标：安装 FXTSoft（x86_64）
	•	已存在：HEASoft（arm64）
	•	解决思路：Rosetta + Intel Homebrew + 环境切换
&lt;html&gt;
&lt;head&gt;

&lt;/head&gt;
&lt;body&gt;

&lt;p class='p1'&gt;下面是一份**“FXTSoft 在 macOS（Apple Silicon）上成功安装”的精简复盘清单**，按&lt;span class='s1'&gt;&lt;b&gt;时间顺序 + 关键坑位&lt;/b&gt;&lt;/span&gt;整理，适合你以后快速查阅或给同组同学参考。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/FXTSoft%20-zai-%20macOS%20%28Apple%20Silicon%29%20-shang-an-zhuang-cheng-gong-bu-zou-zong-jie.html</guid><pubDate>Thu, 01 Jan 2026 13:21:58 +0000</pubDate></item><item><title>XRB不同谱态下吸积流的构型</title><link>https://xiaosy-astro.github.io/post/XRB-bu-tong-pu-tai-xia-xi-ji-liu-de-gou-xing.html</link><description>&lt;img width='450' height='478' alt='Image' src='https://github.com/user-attachments/assets/4bf60c09-7182-4ae5-899d-ea1c8beea9d0' /&gt;

上图为能谱态下吸积流的构型，点代表ADAF盘，水平条代表薄吸积盘。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/XRB-bu-tong-pu-tai-xia-xi-ji-liu-de-gou-xing.html</guid><pubDate>Wed, 24 Dec 2025 08:35:51 +0000</pubDate></item><item><title>Disk-corona模型</title><link>https://xiaosy-astro.github.io/post/Disk-corona-mo-xing.html</link><description>

&lt;img width='547' height='354' alt='Image' src='https://github.com/user-attachments/assets/32cfa191-ee27-4763-8d22-afef7fe9ef8c' /&gt;

Disk-corona模型。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/Disk-corona-mo-xing.html</guid><pubDate>Mon, 17 Nov 2025 07:58:41 +0000</pubDate></item><item><title>macos免密 SSH 登录服务器</title><link>https://xiaosy-astro.github.io/post/macos-mian-mi-%20SSH%20-deng-lu-fu-wu-qi.html</link><description>在 macOS 上，免密 SSH 登录服务器 的标准方法是通过 SSH 公钥认证（public key authentication）.一次配置好之后，你就可以直接输入：
```bash
ssh username@server.address
```
#### 1. 在本地生成密钥

在 macOS 终端输入：

```bash
ssh-keygen -t rsa -b 4096 -C 'btwang@server'
```
一路回车即可

输出类似：
```bash
Generating public/private rsa key pair.
Enter file in which to save the key (/Users/yourname/.ssh/id_rsa):
```
生成的文件：
	•	私钥：\~/.ssh/id_rsa（保密！）
	•	公钥：\~/.ssh/id_rsa.pub

#### 2. 上传公钥到服务器
```bash
ssh-copy-id username@server.address
```


#### 3. 免密登录
```bash
ssh username@server.address
```


#### 提交slurm作业

```bash
sbatch run_vegas.slurm
squeue -u $USER
```。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/macos-mian-mi-%20SSH%20-deng-lu-fu-wu-qi.html</guid><pubDate>Tue, 28 Oct 2025 11:21:59 +0000</pubDate></item><item><title>HMXB 4U 1700-377</title><link>https://xiaosy-astro.github.io/post/HMXB%204U%201700-377.html</link><description>

&lt;img width='223' height='448' alt='Image' src='https://github.com/user-attachments/assets/934cd626-115a-4bcb-ab5c-fcb81b6e4b36' /&gt;

Fig. 4. Summary of the fit results. From top to bottom, the modulation
curves in phase D and F, the X-ray count rate, PD (2–8 keV), PD (2–4
keV), PD (4–8 keV), column density, photon index, and normalization of
the powerlaw. The hatch marks in the PD (2–8 keV) panel represent the
MDP for each time interval. The three colors indicating variability are the
same as in Figure 3. Alt Text: Summary plot of spectral fit results over
time

原文链接：[First Detection of X-ray Polarization and Its Short-term Increase Pre- and Post-Eclipse in HMXB 4U 1700-377](https://arxiv.org/pdf/2509.14494v1)。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/HMXB%204U%201700-377.html</guid><pubDate>Mon, 22 Sep 2025 02:07:26 +0000</pubDate></item><item><title>M74 X-1</title><link>https://xiaosy-astro.github.io/post/M74%20X-1.html</link><description>&lt;img width='704' height='314' alt='Image' src='https://github.com/user-attachments/assets/a9c3957c-b147-4ecd-a2b6-5176506e62f5' /&gt;

&lt;img width='426' height='366' alt='Image' src='https://github.com/user-attachments/assets/ff7e4d68-ca8a-4f31-ad80-288821035f3f' /&gt;

(a) 耀发态观测（观测号：2057、2058、0154350101）同时拟合所得到的光谱与残差，采用的模型为 tbabs*(po)、tbabs*(diskbb+po)、tbabs*(diskbb+gauss+po)，并联动 NH、Tin、Γ 和高斯参数。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/M74%20X-1.html</guid><pubDate>Wed, 17 Sep 2025 03:38:54 +0000</pubDate></item><item><title>ELISA使用教程</title><link>https://xiaosy-astro.github.io/post/ELISA-shi-yong-jiao-cheng.html</link><description>### 打印能量

```python
ECLAIRs_pluse1 = Data(
    name=f'{event_name}_pluse1',
    erange=[4.0, 20.0],
    specfile=f'./{folder_name}/GRB250419A_PEO_1er_episode.grp',
    respfile=f'./{folder_name}/GRB250419A_PEO_rmf_1er_episode.fits',
    ancrfile=f'./{folder_name}/ECL-RSP-ARF_20220515T01.fits',
    group='opt'
)
print(ECLAIRs_pluse1.channel_emean)
```

### 计算能量流量
```
import numpy as np
Emax = round(max(ECLAIRs_pluse1.channel_emean))
print(f'Emax={Emax}')
Flux = posterior.flux(emin=4,emax=Emax,cl=1.,energy=True,hdi=False,comps=False)
median_flux = Flux.median['GRB 250419A_pluse1'].value
lower_flux, upper_flux = Flux.intervals['GRB 250419A_pluse1'][0].value, Flux.intervals['GRB 250419A_pluse1'][1].value
exponent = np.floor(np.log10(abs(median_flux)))
print(f'{median_flux/10**(exponent):.2f} \
      (+{(upper_flux - median_flux)/10**(exponent):.2f}, \
    {(lower_flux-median_flux)/10**(exponent):.2f}) e{exponent:.0f} erg/cm^2/s')
```。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/ELISA-shi-yong-jiao-cheng.html</guid><pubDate>Tue, 16 Sep 2025 12:46:37 +0000</pubDate></item><item><title>eROSITA 探测到的新星的分布</title><link>https://xiaosy-astro.github.io/post/eROSITA%20-tan-ce-dao-de-xin-xing-de-fen-bu.html</link><description>&lt;img width='652' height='467' alt='Image' src='https://github.com/user-attachments/assets/d1bff3dc-b0b1-43c7-81e0-6d392c3a37a9' /&gt;

图 2： 银河系内所有历史新星（灰色）与 eROSITA 探测到的新星（红色）的分布。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/eROSITA%20-tan-ce-dao-de-xin-xing-de-fen-bu.html</guid><pubDate>Mon, 15 Sep 2025 03:24:10 +0000</pubDate></item><item><title>The canonical behavior of the early X-ray light curve for GRBs</title><link>https://xiaosy-astro.github.io/post/The%20canonical%20behavior%20of%20the%20early%20X-ray%20light%20curve%20for%20GRBs.html</link><description>&lt;img width='714' height='564' alt='Image' src='https://github.com/user-attachments/assets/512befb0-790d-4937-9dce-3ceb46a50d86' /&gt;

原文链接：[Evidence for a Canonical GRB Afterglow Light Curve in the Swift XRT Data](https://arxiv.org/pdf/astro-ph/0508332)。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/The%20canonical%20behavior%20of%20the%20early%20X-ray%20light%20curve%20for%20GRBs.html</guid><pubDate>Fri, 12 Sep 2025 01:29:49 +0000</pubDate></item><item><title>EP250911a的光变曲线和能谱拟合</title><link>https://xiaosy-astro.github.io/post/EP250911a-de-guang-bian-qu-xian-he-neng-pu-ni-he.html</link><description>
### 1. 光变曲线

&lt;img width='660' height='478' alt='Image' src='https://github.com/user-attachments/assets/c110f3a5-b47a-46a0-a0a8-aa892c5dafd6' /&gt;

### 2. 能谱拟合结果

&lt;img width='660' height='664' alt='Image' src='https://github.com/user-attachments/assets/349c6787-a257-4b28-94aa-fa34c81076c2' /&gt;

### 3. 能谱拟合最优参数Conor图

&lt;img width='660' height='666' alt='Image' src='https://github.com/user-attachments/assets/e2a2f65a-ccab-4170-92c5-2cd0e9198ea8' /&gt;。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/EP250911a-de-guang-bian-qu-xian-he-neng-pu-ni-he.html</guid><pubDate>Fri, 12 Sep 2025 01:16:37 +0000</pubDate></item><item><title>GRB 221009A 散射的 prompt 辐射形成的晕</title><link>https://xiaosy-astro.github.io/post/GRB%20221009A%20-san-she-de-%20prompt%20-fu-she-xing-cheng-de-yun.html</link><description>
&lt;img width='707' height='211' alt='Image' src='https://github.com/user-attachments/assets/27bedb6d-c010-4b3f-b767-734cebeea6e2' /&gt;

图 1. 不同背景去除方法下，由 GRB 221009A 散射的 prompt 辐射形成的晕。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/GRB%20221009A%20-san-she-de-%20prompt%20-fu-she-xing-cheng-de-yun.html</guid><pubDate>Thu, 11 Sep 2025 01:36:57 +0000</pubDate></item><item><title>EP250910a/GRB 250910A 的光变曲线和能谱拟合</title><link>https://xiaosy-astro.github.io/post/EP250910a-GRB%20250910A%20-de-guang-bian-qu-xian-he-neng-pu-ni-he.html</link><description>### 1. 光变曲线

&lt;img width='630' height='586' alt='Image' src='https://github.com/user-attachments/assets/772aad95-014b-40d4-bc6b-fc78ee0285c4' /&gt;

### 2. 能谱拟合结果

&lt;img width='630' height='604' alt='Image' src='https://github.com/user-attachments/assets/7658d0f3-0104-44ad-aeb1-f2d07b041c36' /&gt;

### 3. 能谱拟合最优参数Conor图

&lt;img width='630' height='615' alt='Image' src='https://github.com/user-attachments/assets/0efc473b-45ad-443b-9f8f-49d1ddda0641' /&gt;。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/EP250910a-GRB%20250910A%20-de-guang-bian-qu-xian-he-neng-pu-ni-he.html</guid><pubDate>Wed, 10 Sep 2025 08:16:19 +0000</pubDate></item><item><title>VegasAfterglow使用教程</title><link>https://xiaosy-astro.github.io/post/VegasAfterglow-shi-yong-jiao-cheng.html</link><description>版本 ：V1.0.0 

### 1. 查看模型有哪些物理参数

```python
import VegasAfterglow
dir(VegasAfterglow.ModelParams)
```

输出结果

```python
['A_star',
 'E_iso',
 'E_iso_w',
 'Gamma0',
 'Gamma0_w',
 'L0',
 '__class__',
 '__delattr__',
 '__dir__',
 '__doc__',
 '__eq__',
 '__format__',
 '__ge__',
 '__getattribute__',
 '__getstate__',
 '__gt__',
 '__hash__',
 '__init__',
 '__init_subclass__',
 '__le__',
 '__lt__',
 '__module__',
 '__ne__',
 '__new__',
 '__reduce__',
 '__reduce_ex__',
 '__repr__',
 '__setattr__',
 '__sizeof__',
 '__str__',
 '__subclasshook__',
 '_pybind11_conduit_v1_',
 'eps_B',
 'eps_B_r',
 'eps_e',
 'eps_e_r',
 'k_e',
 'k_g',
 'n0',
 'n_ism',
 'p',
 'p_r',
 'q',
 't0',
 'tau',
 'theta_c',
 'theta_v',
 'theta_w',
 'xi_e',
 'xi_e_r']
```

### 2. 查看模型有哪些配置

```python
from VegasAfterglow import Setups
cfg = Setups()
dir(cfg)
```

输出结果

```python
['IC_cooling',
 'KN',
 '__class__',
 '__delattr__',
 '__dir__',
 '__doc__',
 '__eq__',
 '__format__',
 '__ge__',
 '__getattribute__',
 '__getstate__',
 '__gt__',
 '__hash__',
 '__init__',
 '__init_subclass__',
 '__le__',
 '__lt__',
 '__module__',
 '__ne__',
 '__new__',
 '__reduce__',
 '__reduce_ex__',
 '__repr__',
 '__setattr__',
 '__sizeof__',
 '__str__',
 '__subclasshook__',
 '_pybind11_conduit_v1_',
 'fwd_SSC',
 'jet',
 'lumi_dist',
 'magnetar',
 'medium',
 'phi_resol',
 'rtol',
 'rvs_SSC',
 'rvs_shock',
 't_resol',
 'theta_resol',
 'z']
```

### 3. 查询拟合器

```python
from VegasAfterglow import Fitter
fitter = Fitter(data, cfg)
help(fitter.fit)
```

输出结果

```python
Help on method fit in module VegasAfterglow.runner:

fit(param_defs: Sequence[VegasAfterglow.types.ParamDef], resolution: Tuple[float, float, float] = (0.3, 1, 10), total_steps: int = 10000, burn_frac: float = 0.3, thin: int = 1, top_k: int = 10) -&gt; VegasAfterglow.types.FitResult method of VegasAfterglow.runner.Fitter instance
    Run the MCMC sampler.

    Parameters
    ----------
    param_bounds :
        A sequence of (name, init, lower, upper) for each free parameter.
    resolution :
        (t_grid, theta_grid, phi_grid) for the coarse MCMC stage.
    total_steps :
        Total number of MCMC steps.
    burn_frac :
        Fraction of steps to discard as burn-in.
    thin :
        Thinning factor for the returned chain.
    top_k :
        Number of top fits to save in the result.

    Returns
    -------
    FitResult
```

。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/VegasAfterglow-shi-yong-jiao-cheng.html</guid><pubDate>Tue, 09 Sep 2025 09:50:26 +0000</pubDate></item><item><title>EP250908c的光变曲线和能谱拟合</title><link>https://xiaosy-astro.github.io/post/EP250908c-de-guang-bian-qu-xian-he-neng-pu-ni-he.html</link><description>### 1. 光变曲线

&lt;img width='600' height='482' alt='Image' src='https://github.com/user-attachments/assets/d92b0cd8-cd27-46a5-8417-4732547c4546' /&gt;

### 2. 能谱拟合结果

&lt;img width='600' height='577' alt='Image' src='https://github.com/user-attachments/assets/03d80e84-978d-43fc-8eac-7e11e7c81ee1' /&gt;

### 3. 能谱拟合最优参数Conor图

&lt;img width='600' height='582' alt='Image' src='https://github.com/user-attachments/assets/2915fa8a-2525-4aa2-85ff-e78866f42e15' /&gt;。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/EP250908c-de-guang-bian-qu-xian-he-neng-pu-ni-he.html</guid><pubDate>Tue, 09 Sep 2025 06:31:46 +0000</pubDate></item><item><title>EP250908d的光变曲线和能谱拟合</title><link>https://xiaosy-astro.github.io/post/EP250908d-de-guang-bian-qu-xian-he-neng-pu-ni-he.html</link><description>### 1. 光变曲线

&lt;img width='600' height='481' alt='Image' src='https://github.com/user-attachments/assets/d4f0c533-ab36-427f-8a94-f4e8829ccfd1' /&gt;

### 2. 能谱拟合结果

&lt;img width='600' height='575' alt='Image' src='https://github.com/user-attachments/assets/e74eb5b1-4466-4565-9de5-22461c07875b' /&gt;

### 3. 能谱拟合最优参数Conor图

&lt;img width='600' height='582' alt='Image' src='https://github.com/user-attachments/assets/9c80f3e4-bac2-45ea-8894-74b2368a07eb' /&gt;

最后确认是LSPM J2248+2723恒星耀发。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/EP250908d-de-guang-bian-qu-xian-he-neng-pu-ni-he.html</guid><pubDate>Tue, 09 Sep 2025 06:25:42 +0000</pubDate></item><item><title>EP250908b的光变曲线和能谱拟合</title><link>https://xiaosy-astro.github.io/post/EP250908b-de-guang-bian-qu-xian-he-neng-pu-ni-he.html</link><description>### 1. 光变曲线

&lt;img width='600' height='478' alt='Image' src='https://github.com/user-attachments/assets/f9997ad8-e5ee-40ed-8681-1c54594b201a' /&gt;

### 2. 能谱拟合结果

&lt;img width='600' height='576' alt='Image' src='https://github.com/user-attachments/assets/3f6eab3a-e7ca-4907-a015-69077de8f268' /&gt;

### 3. 能谱拟合最优参数Conor图

&lt;img width='600' height='582' alt='Image' src='https://github.com/user-attachments/assets/1e584a9a-69aa-479a-a6d5-4fd4eab2b1d5' /&gt;。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/EP250908b-de-guang-bian-qu-xian-he-neng-pu-ni-he.html</guid><pubDate>Tue, 09 Sep 2025 02:13:58 +0000</pubDate></item><item><title>Testing Magnetic Field Configurations in Spider Pulsar PSR J1723−2837 with IXPE</title><link>https://xiaosy-astro.github.io/post/Testing%20Magnetic%20Field%20Configurations%20in%20Spider%20Pulsar%20PSR%20J1723%E2%88%922837%20with%20IXPE.html</link><description>
&lt;img width='698' height='422' alt='Image' src='https://github.com/user-attachments/assets/af74baca-5c11-4a77-b7e0-a1e433a85d06' /&gt;

图2. 左图：PSR J1723−2837 的去背景X射线光变曲线，分别由 XMM-Newton、Chandra、NuSTAR 和 IXPE（自上而下）获得，并按照 F. Crawford 等（2013）的双星轨道星历折叠。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/Testing%20Magnetic%20Field%20Configurations%20in%20Spider%20Pulsar%20PSR%20J1723%E2%88%922837%20with%20IXPE.html</guid><pubDate>Tue, 09 Sep 2025 01:50:19 +0000</pubDate></item><item><title>EP250907a的光变曲线和能谱拟合</title><link>https://xiaosy-astro.github.io/post/EP250907a-de-guang-bian-qu-xian-he-neng-pu-ni-he.html</link><description>### 1. 光变曲线

&lt;img width='605' height='481' alt='Image' src='https://github.com/user-attachments/assets/c3fdc2d1-a44e-4c89-bd3f-504eef590ac8' /&gt;

### 2. 能谱拟合结果

&lt;img width='605' height='577' alt='Image' src='https://github.com/user-attachments/assets/4c6d53cc-fbb2-4d4a-a058-8734dff9c2eb' /&gt;

### 3. 能谱拟合最优参数Conor图

&lt;img width='605' height='582' alt='Image' src='https://github.com/user-attachments/assets/fd82f486-76ac-45f0-82c8-2f70f9f6ae23' /&gt;。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/EP250907a-de-guang-bian-qu-xian-he-neng-pu-ni-he.html</guid><pubDate>Mon, 08 Sep 2025 03:31:31 +0000</pubDate></item><item><title>EP250905a的光变曲线和能谱拟合</title><link>https://xiaosy-astro.github.io/post/EP250905a-de-guang-bian-qu-xian-he-neng-pu-ni-he.html</link><description>### 1. 光变曲线

&lt;img width='672' height='473' alt='Image' src='https://github.com/user-attachments/assets/84be33da-eeba-4e7f-bdc0-622882498195' /&gt;

### 2. 能谱拟合结果

&lt;img width='597' height='577' alt='Image' src='https://github.com/user-attachments/assets/87643151-d131-4d9e-aaa8-4d738151e628' /&gt;

### 3. 能谱拟合最优参数Conor图

&lt;img width='590' height='582' alt='Image' src='https://github.com/user-attachments/assets/32cb0cb2-e5de-473b-9f95-ab06e88cf59a' /&gt;。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/EP250905a-de-guang-bian-qu-xian-he-neng-pu-ni-he.html</guid><pubDate>Sat, 06 Sep 2025 13:17:29 +0000</pubDate></item><item><title>EP250905b的光变曲线和能谱拟合</title><link>https://xiaosy-astro.github.io/post/EP250905b-de-guang-bian-qu-xian-he-neng-pu-ni-he.html</link><description>### 1. 光变曲线

&lt;img width='675' height='479' alt='Image' src='https://github.com/user-attachments/assets/58f9fc17-d5f9-4e17-bb8b-1d65e27beac0' /&gt;

### 2. 能谱拟合结果

&lt;img width='604' height='578' alt='Image' src='https://github.com/user-attachments/assets/6db375a2-7f84-4c41-ae93-a9db3a384acb' /&gt;

### 3. 能谱拟合最优参数Conor图

&lt;img width='592' height='581' alt='Image' src='https://github.com/user-attachments/assets/aaf1f036-ab4c-4123-afda-b958df0526fa' /&gt;。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/EP250905b-de-guang-bian-qu-xian-he-neng-pu-ni-he.html</guid><pubDate>Sat, 06 Sep 2025 12:05:46 +0000</pubDate></item><item><title>GRB 250314A的光学光谱</title><link>https://xiaosy-astro.github.io/post/GRB%20250314A-de-guang-xue-guang-pu.html</link><description>&lt;img width='649' height='279' alt='Image' src='https://github.com/user-attachments/assets/1658a2e1-a225-4fb4-9ee5-759539df6ae8' /&gt;


图 2：左图：二维的可见光 (VIS, 上) 和近红外 (NIR, 下) VLT/X-shooter 光谱。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/GRB%20250314A-de-guang-xue-guang-pu.html</guid><pubDate>Fri, 05 Sep 2025 13:14:50 +0000</pubDate></item><item><title>黑体辐射</title><link>https://xiaosy-astro.github.io/post/hei-ti-fu-she.html</link><description>
&lt;img width='403' height='182' alt='Image' src='https://github.com/user-attachments/assets/a5758672-e332-4742-8529-510e64e0e656' /&gt;

&lt;img width='489' height='485' alt='Image' src='https://github.com/user-attachments/assets/b68ca69a-95b1-4102-8304-e80cc345ce93' /&gt;

为了研究热辐射，首先必须考虑黑体辐射——即处于热平衡状态下的辐射。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/hei-ti-fu-she.html</guid><pubDate>Thu, 04 Sep 2025 03:03:20 +0000</pubDate></item><item><title>来自均匀亮球的流量</title><link>https://xiaosy-astro.github.io/post/lai-zi-jun-yun-liang-qiu-de-liu-liang.html</link><description>
&lt;img alt='Image' src='https://github.com/user-attachments/assets/466adf60-edf4-4254-9d1c-df879538ffad' /&gt;。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/lai-zi-jun-yun-liang-qiu-de-liu-liang.html</guid><pubDate>Wed, 03 Sep 2025 06:18:53 +0000</pubDate></item><item><title>立体角和面元的命名</title><link>https://xiaosy-astro.github.io/post/li-ti-jiao-he-mian-yuan-de-ming-ming.html</link><description>

&lt;img width='692' height='300' alt='Image' src='https://github.com/user-attachments/assets/3bbef14f-a2f2-4b49-8feb-c6f60a4fe33f' /&gt;



a) 在观察者看来，光源表现为点源；
b) 探测器接收到的光线来自吸积盘的不同部分（比前一幅图中看到的盘更近）；
c) 当光线经过黑洞附近传播时，光管的截面积会发生变化（此时吸积盘处于边缘朝向）。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/li-ti-jiao-he-mian-yuan-de-ming-ming.html</guid><pubDate>Fri, 29 Aug 2025 13:21:25 +0000</pubDate></item><item><title>Mac安装MONK教程</title><link>https://xiaosy-astro.github.io/post/Mac-an-zhuang-MONK-jiao-cheng.html</link><description>
### 0. 下载monk程序文件
```shell
git clone https://projects.asu.cas.cz/zhang/monk.git
```
安装以下软件：
```shell
brew install gcc
brew install open-mpi
```



### 1. 在 ./sim5 下构建 `sim5` 库

首先进入到`sim5`目录下，使用vim打开`Makefile`文件，做如下修改
```shell
CC=gcc改为CC=gcc-15
```
然后构建：
```shell
cd sim5
make
```

### 2 修改 electron_population.h 的第 17 行。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/Mac-an-zhuang-MONK-jiao-cheng.html</guid><pubDate>Thu, 28 Aug 2025 11:48:35 +0000</pubDate></item><item><title>GR下盘-冕系统的X射线偏振结果</title><link>https://xiaosy-astro.github.io/post/GR-xia-pan---mian-xi-tong-de-X-she-xian-pian-zhen-jie-guo.html</link><description>
&lt;img width='550' height='347' alt='Image' src='https://github.com/user-attachments/assets/8cc6c29a-18df-4051-a8d6-697e1ba27d24' /&gt;


在图 2 中，我们展示了盘-冕系统（其中包含一个球对称冕区）的结果，针对不同倾角处观测者的情况。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/GR-xia-pan---mian-xi-tong-de-X-she-xian-pian-zhen-jie-guo.html</guid><pubDate>Thu, 28 Aug 2025 11:05:23 +0000</pubDate></item><item><title>来自黑洞附近的偏振辐射的可观测引力效应</title><link>https://xiaosy-astro.github.io/post/lai-zi-hei-dong-fu-jin-de-pian-zhen-fu-she-de-ke-guan-ce-yin-li-xiao-ying.html</link><description>&lt;img width='313' height='437' alt='Image' src='https://github.com/user-attachments/assets/2ff69822-3260-4557-8bf8-af5557cf96a2' /&gt;


&lt;img width='313' height='437' alt='Image' src='https://github.com/user-attachments/assets/aa8b66e8-ce1c-46e9-94f3-781cbc287350' /&gt;


来自绕黑洞旋转的吸积盘的X射线线偏振辐射受到广义相对论效应的影响。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/lai-zi-hei-dong-fu-jin-de-pian-zhen-fu-she-de-ke-guan-ce-yin-li-xiao-ying.html</guid><pubDate>Wed, 27 Aug 2025 11:24:12 +0000</pubDate></item><item><title>反射模型：a）灯柱模型； b）弥漫的冕模型。</title><link>https://xiaosy-astro.github.io/post/fan-she-mo-xing-%EF%BC%9Aa%EF%BC%89-deng-zhu-mo-xing-%EF%BC%9B%20b%EF%BC%89-mi-man-de-mian-mo-xing-%E3%80%82.html</link><description>

&lt;img alt='Image' src='https://github.com/user-attachments/assets/f237b8ec-31bd-4b54-89b8-099ae158717d' /&gt;

几乎总是存在的特征光谱特征之一是幂律成分。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/fan-she-mo-xing-%EF%BC%9Aa%EF%BC%89-deng-zhu-mo-xing-%EF%BC%9B%20b%EF%BC%89-mi-man-de-mian-mo-xing-%E3%80%82.html</guid><pubDate>Wed, 27 Aug 2025 07:52:22 +0000</pubDate></item><item><title>IXPE观测到的黑洞X射线双星</title><link>https://xiaosy-astro.github.io/post/IXPE-guan-ce-dao-de-hei-dong-X-she-xian-shuang-xing.html</link><description>### IXPE在其任务的前2.5年中观测到的所有黑洞X射线双星

&lt;img width='482' height='244' alt='Image' src='https://github.com/user-attachments/assets/c5edc004-49e3-4fa9-802e-12a7d58ccb49' /&gt;

原文链接 [IXPE View of BH XRBs during the First 2.5 Years of the Mission](https://www.mdpi.com/2075-4434/12/5/54)

### Python将该图复现

```python
import numpy as np
from astropy.coordinates import SkyCoord
import astropy.units as u
from dustmaps.sfd import SFDQuery
import matplotlib.pyplot as plt
plt.style.use('https://raw.githubusercontent.com/wangboting/python-style/main/pythonstyle.style')
plt.rcParams['axes.unicode_minus'] = False
plt.rcParams['font.size'] = 12
plt.rcParams['font.family'] = 'Times New Roman'

from dustmaps.sfd import SFDQuery



# 初始化 SFD
sfd = SFDQuery()

# 在银道坐标系中采样
l = np.linspace(-180, 180, 1000)
b = np.linspace(-90, 90, 500)
ll, bb = np.meshgrid(l, b)
coords = SkyCoord(l=-ll*u.deg, b=bb*u.deg, frame='galactic')
ebv = sfd(coords)   # 得到 E(B−V) 值

# 画 Mollweide 投影
plt.figure(figsize=(10,5))
ax = plt.subplot(111, projection='mollweide')
im = ax.pcolormesh(np.radians((ll)), np.radians(bb), ebv,
                   shading='auto', cmap='Blues', vmin=0, vmax=2,alpha=0.9)

plt.colorbar(im, orientation='vertical', pad=0.05, label='E(B-V)',location='right',extend='max')
ax.tick_params(axis='both', colors='red')
xtick_locs = np.radians([-150, -120, -90, -60, -30, 0, 30, 60, 90, 120, 150])  # Radians for plotting
xtick_labels = ['150°', '120°', '90°', '60°', '30°', '0°', '330°', '300°', '270°', '240°', '210°']
ax.set_xticks(xtick_locs)
ax.set_xticklabels(xtick_labels)
ax.set_xlabel('l [deg]')
ax.set_ylabel('b [deg]')
ax.grid(True)
def wrap_l(l):
    return 360-l if l &gt; 180 else -l
# 定义源的信息：名字、l、b、颜色
sources = [
    ('Cyg X-1',        71.3349982655144,  +3.0668346317201, 'orange'),
    ('Cyg X-3',        79.84549,          +0.70006,         'blue'),
    ('LMC X-1',       280.2030024388124, -31.5158204428701, 'green'),
    ('LMC X-3',       273.5764427008667, -32.0814329516362, 'red'),
    ('4U 1957+115',    51.3076815317130,  -9.3301753261750, 'purple'),
    ('SS 433',         39.6941044854067,  -2.2445979222389, 'yellow'),
    ('Swift J1727.8-1613',  8.64165916,  +10.2553516,       'pink'),
    ('GX 339-4',      338.9391581007216,  -4.3264729352953, 'brown'),
    ('4U 1630-47',    336.911278,         +0.250229,        'skyblue'),
    ('Swift J151857.0–572147', 321.815571, -0.00253675,     'cyan'),
]

# 统一绘制
for name, l, b, color in sources:
    ax.scatter(
        np.radians(wrap_l(l)), np.radians(b),
        color=color, marker='*', s=150,
        edgecolors='black', linewidths=0.8,
        label=name
    )

# 图例
ax.legend(
    loc='upper center',
    bbox_to_anchor=(0.5, -0.1),  # 横向居中，纵向往下挪
    fontsize='small',
    ncol=4,
    frameon=False
)
plt.savefig('All_BH_XRBs_observed_by_IXPE.pdf',dpi=400,bbox_inches='tight')
plt.show()
```

### 结果

&lt;img width='723' height='427' alt='Image' src='https://github.com/user-attachments/assets/c913c5ed-1b24-499a-ad5c-40770c8a9161' /&gt;

### 最新结果

&lt;img width='723' height='430' alt='Image' src='https://github.com/user-attachments/assets/393a5a54-96b0-4f4a-8b00-de04bc1214c4' /&gt;。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/IXPE-guan-ce-dao-de-hei-dong-X-she-xian-shuang-xing.html</guid><pubDate>Tue, 26 Aug 2025 03:26:37 +0000</pubDate></item><item><title>FXT的流量转流量密度</title><link>https://xiaosy-astro.github.io/post/FXT-de-liu-liang-zhuan-liu-liang-mi-du.html</link><description>### 定义流量转流量密度的计算的函数

```python
import os
import numpy as np
import pandas as pd
from astropy.io import fits
from astropy.time import Time
import pprint
def compute_integral_energy(beta, E1, E2):
    if beta == 1:
        return np.log(E2 / E1)
    else:
        return (E2**(1 - beta) - E1**(1 - beta)) / (1 - beta)

def compute_energy_flux_density_and_error(F, sigma_F, beta, sigma_beta, E1, E2, E_obs):
    integral = compute_integral_energy(beta, E1, E2)
    e_term = E_obs ** (-beta)
    f_E = F / integral * e_term
    df_dF = e_term / integral
    df_dbeta = -np.log(E_obs) * F / integral * e_term
    sigma_f_E = np.sqrt((df_dF * sigma_F)**2 + (df_dbeta * sigma_beta)**2)
    return f_E, sigma_f_E  # 单位：erg/cm²/s/keV

def compute_xray_energy_flux_density(
    input_fits,
    output_file, t0_iso,
    beta_X=1.9,
    sigma_beta_X=0.2,
    E1=0.3,  # keV
    E2=10.0,  # keV
    E_obs=1.0,  # keV
    rate_to_flux=1e-11
):
    '''  
        从 Swift-XRT 光变 FITS 计算 X-ray flux density（单位 mJy）及误差，并保存到文件。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/FXT-de-liu-liang-zhuan-liu-liang-mi-du.html</guid><pubDate>Sun, 17 Aug 2025 12:11:02 +0000</pubDate></item><item><title>precursor 和 main burst示意图</title><link>https://xiaosy-astro.github.io/post/precursor%20-he-%20main%20burst-shi-yi-tu.html</link><description>代码：

```python
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('https://github.com/xiaosy-astro/python-style/blob/main/pythonstyle.style')
plt.rcParams['font.sans-serif'] = ['SimSun']
plt.rcParams['axes.unicode_minus'] = False
plt.rcParams['font.size'] = 12
plt.rcParams['font.family'] = 'Times New Roman'

# 时间轴
t = np.linspace(-50, 100, 500)

# 背景噪声
np.random.seed(42)
background = np.random.normal(0, 0.1, len(t))

# 模拟前驱辐射 (precursor)
prec_peak_time = 0
prec_width = 3
prec_amplitude = 1.2
prec_signal = prec_amplitude * np.exp(-(t - prec_peak_time)**2 / (2 * prec_width**2))

# 模拟主暴发 (main burst)
main_peak_time = 80
main_width = 6
main_amplitude = 3.5
main_signal = main_amplitude * np.exp(-(t - main_peak_time)**2 / (2 * main_width**2))

# 总光变曲线
counts = background + prec_signal + main_signal

# 关键参数（用于标注）
R_prec = prec_amplitude
R_main = main_amplitude
tau_prec = 2 * prec_width
tau_main = 2 * main_width

t_start_prec = prec_peak_time - prec_width
t_end_prec   = prec_peak_time + prec_width
t_start_main = main_peak_time - main_width
t_end_main   = main_peak_time + main_width

dt_pk  = main_peak_time - prec_peak_time
dt_det = t_start_main - t_end_prec

# 画图（阶梯状）
plt.figure(figsize=(7, 5))
plt.step(t, counts, color='black', lw=1, where='mid')

# 新的竖线位置
vline_prec_start = t_start_prec - 4
vline_prec_end   = t_end_prec + 4
vline_main_start = t_start_main - 9
vline_main_end   = t_end_main + 5

# 竖虚线：前驱 / 主峰的 start/end
# 竖虚线
for x in (vline_prec_start, vline_prec_end, vline_main_start, vline_main_end):
    plt.axvline(x, ls='--', color='gray', lw=0.9)


for x in (prec_peak_time, main_peak_time):
    plt.axvline(x, ls='--', color='blue', lw=0.3)
# 水平虚线：R_prec / R_main
plt.hlines(R_prec+0.2, t.min(), prec_peak_time, colors='red', linestyles='--', lw=0.9)
plt.hlines(R_main+0.15, main_peak_time, t.max(), colors='red', linestyles='--', lw=0.9)

# ylim 便于放置标注（与原图类似的上下边距）
ymin = -1.0
ymax = R_main + 1.0
plt.ylim(ymin, ymax)

# --- τ 标注：用弧形双箭头放在曲线下方 ---
y_tau = ymin + 0.25  # 放在下方（与图中弧形类似）
# precursor duration arc
plt.annotate(
    '', xy=(vline_prec_start, y_tau), xytext=(vline_prec_end, y_tau),
    arrowprops=dict(arrowstyle='&lt;-&gt;', lw=1.2, connectionstyle='arc3,rad=-0.3')
)
plt.text((vline_prec_start + vline_prec_end)/2, y_tau+0.1, r'$\tau_{\rm prec}$', ha='center', va='top')

plt.annotate(
    '', xy=(vline_main_start, y_tau), xytext=(vline_main_end, y_tau),
    arrowprops=dict(arrowstyle='&lt;-&gt;', lw=1.2, connectionstyle='arc3,rad=-0.3')
)
plt.text((vline_main_start + vline_main_end)/2, y_tau+0.1, r'$\tau_{\rm main}$', ha='center', va='top')

# --- Δt_pk 标注：峰与峰之间的双箭头（放在上方） ---
y_pk = R_main + 0.35
plt.annotate(
    '', xy=(prec_peak_time, y_pk), xytext=(main_peak_time, y_pk),
    arrowprops=dict(arrowstyle='&lt;-&gt;', lw=1.2,color='blue')
)
plt.text((prec_peak_time + main_peak_time)/2, y_pk + 0.04, r'$\Delta t_{\rm pk}$', ha='center', va='bottom',color='blue')

# --- Δt_det 标注：前驱结束与主峰开始之间的双箭头（放在 Δt_pk 之下） ---
y_det = R_main + 0.15
plt.annotate(
    '', xy=(vline_prec_end, y_det), xytext=(vline_main_start, y_det),
    arrowprops=dict(arrowstyle='&lt;-&gt;', lw=1.2)
)
plt.text((vline_prec_end + vline_main_start)/2, y_det - 0.3, r'$\Delta t_{\rm q}$', ha='center', va='bottom')
# 标注 R_prec / R_main 的文字
plt.text(t.min() + 2, R_prec + 0.2, r'$R_{\rm prec}$', va='bottom', color='red')
plt.text(t.max() + 1, R_main + 0.2, r'$R_{\rm main}$', va='bottom', ha='right', color='red')

# 轴与外观
plt.xlabel(r'Time (s) $\rightarrow$')
plt.ylabel(r'Counts s$^{-1}$ $\rightarrow$')
plt.yticks([])
plt.xticks([])
plt.tight_layout()
plt.savefig('lightcurve_prec_main_demo.pdf', dpi=400, bbox_inches='tight') 
plt.show()
```

![Image](https://github.com/user-attachments/assets/9591562b-2537-4dfb-96bf-45a38dea2d55)

- $R_{\mathrm{prec}}$: peak count rate of the first episode of emission  
- $R_{\mathrm{main}}$: peak count rate of the main episode of emission  
- $\tau_{\mathrm{prec}}$: duration of the precursor episode emission  
- $\tau_{\mathrm{main}}$: duration of the main episode emission  
- $\Delta t_{\mathrm{pk}}$: the separation time between the $R_{\mathrm{prec}}$ and $R_{\mathrm{main}}$  
- $\Delta t_q$: the quiescent time  
。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/precursor%20-he-%20main%20burst-shi-yi-tu.html</guid><pubDate>Tue, 12 Aug 2025 13:04:47 +0000</pubDate></item><item><title>如何在六个月内学会任何一门外语</title><link>https://xiaosy-astro.github.io/post/ru-he-zai-liu-ge-yue-nei-xue-hui-ren-he-yi-men-wai-yu.html</link><description>&gt; [!NOTE]
&gt; 学会一门外语，对大多数人来说都需要花费好几年的时间。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/ru-he-zai-liu-ge-yue-nei-xue-hui-ren-he-yi-men-wai-yu.html</guid><pubDate>Fri, 08 Aug 2025 13:55:28 +0000</pubDate></item><item><title>EP/FXT 提取光变和能谱数据产品</title><link>https://xiaosy-astro.github.io/post/EP-FXT%20-ti-qu-guang-bian-he-neng-pu-shu-ju-chan-pin.html</link><description>&gt; [!IMPORTANT]
&gt; 本教程是在给定坐标下， 从EP/FXT的用户数据中，提取其能谱和光变曲线产品，并自动生成两个能谱拟合xcm文件，一个是联合拟合，一个是单个拟合，只需要输入拟合的模型即可。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/EP-FXT%20-ti-qu-guang-bian-he-neng-pu-shu-ju-chan-pin.html</guid><pubDate>Fri, 08 Aug 2025 09:27:28 +0000</pubDate></item><item><title>EP_WXT_data_analysis</title><link>https://xiaosy-astro.github.io/post/EP_WXT_data_analysis.html</link><description>目标：流水线产品不可用，我需要重新提取数据，每一次观测数据含有event文件，需要通过xselect软件从event中提取数据产品，数据产品包括能谱（包括源和背景能谱）和光变曲线（源和背景的光变曲线）。</description><guid isPermaLink="true">https://xiaosy-astro.github.io/post/EP_WXT_data_analysis.html</guid><pubDate>Fri, 08 Aug 2025 02:16:22 +0000</pubDate></item></channel></rss>