Open Clusters

Group Members:

韦境量(JingLiang Wei)

汪子杨(ZiYang Wang), 杨鸿畅(HongChang Yang)

王源浩(YuanHao Wang), 阙佳(Jia Que)

1 Prepare

1.1 Data

1.2 Reduction

1.3 Photometry

1.1 Data

  • calibration frames:
    • bias
    • darks
    • flats: g,i,r
  • cluster NGC 7086:
    • gSDSS 30s/120s
    • iSDSS 4s/40s
    • rSDSS 10s/90s

1.2 Reduction

using AstroImageJ

  • master bias, master darks, master flats

  • reduced:

    • gSDSS 30s/120s_red
    • iSDSS 4s/40s_red
    • rSDSS 10s/90s_red

1.3 Photometry

  • select the same star for the short/long exposure time frames
  • select the brighter stars in the short exposure time frames
  • select the fainter stars in the long exposure time frames

1.3 Photometry

  • select the same star for the short/long exposure time frames

(the $g\text{-}r$ in H-R diagram requests the star in $g$ and $r$ filter is the same)

  • select the brighter stars in the short exposure time frames
  • select the fainter stars in the long exposure time frames

1.3 Photometry

  • select the same star for the short/long exposure time frames

(the $g\text{-}r$ in H-R diagram requests the star in $g$ and $r$ filter is the same)

  • select the brighter stars in the short exposure time frames

(to contain the gaints in H-R diagram)

  • select the fainter stars in the long exposure time frames

1.3 Photometry

  • select the same star for the short/long exposure time frames

(the $g\text{-}r$ in H-R diagram requests the star in $g$ and $r$ filter is the same)

  • select the brighter stars in the short exposure time frames

(to contain the gaints in H-R diagram)

  • select the fainter stars in the long exposure time frames

(to contain the main sequence stars in H-R diagram)

2 Data Processing

2.1 Flux $\rightarrow m_{\text{inst}}$

2.2 $m_{\text{inst}}\rightarrow m_{\text{app}}$

2.3 $m_{\text{app}}\rightarrow m_{\text{abs}}$

2.4 The First Edition H-R Diagram

2.1 Flux $\rightarrow m_{\text{inst}}$: theory

$$ m_{\text{inst}}=-2.5\log_{10}\left(\frac{F}{t_{\text{exp}}}\right) $$

$$ \sigma_{m_{\text{inst}}}=\sqrt{\left(\frac{-2.5}{\ln 10}\right)^2\left(\frac{\sigma_{F}}{F}\right)^2} $$

the flux of target $F$

the exposure time $t_{\text{exp}}$

the error of flux $\sigma_{F}$

2.1 Flux $\rightarrow m_{\text{inst}}$: processing

$$ m_{\text{inst}}=-2.5\log_{10}\left(\frac{F}{t_{\text{exp}}}\right) $$

$$ \sigma_{m_{\text{inst}}}=\sqrt{\left(\frac{-2.5}{\ln 10}\right)^2\left(\frac{\sigma_{F}}{F}\right)^2} $$

the python code to achieve:

2.2 $m_{\text{inst}}\rightarrow m_{\text{app}}$: theory

theory

$$ m_{\text{app}catalog}=m_{\text{inst}}+m_{\text{zp}} $$

download the apparent magnitudes from Pan-STARRS Catalog

crossmatch $m_{\text{app}catalog}$ and $m_{\text{inst}}$ to get the $m_{\text{zp}}$

$$ m_{\text{app}my}=m_{\text{inst}}+m_{\text{zp}} $$

2.2 $m_{\text{inst}}\rightarrow m_{\text{app}}$: processing

1.compare the coordinate (RA, Dec) of star to match the coordinate in catalog table PS-7_26_2025.csv

get the match apparent magnitudes in 3 filters.

2.2 $m_{\text{inst}}\rightarrow m_{\text{app}}$: processing

2.crossmatch $m_{\text{app}catalog}$ and $m_{\text{inst}}$ to get the $m_{\text{zp}}$

(the blue line above is the difference between two, the x-axis represents the index)

2.2 $m_{\text{inst}}\rightarrow m_{\text{app}}$: processing

3.convert $m_{\text{inst}}$ to $m_{\text{app}my}$

2.3 $m_{\text{app}}\rightarrow m_{\text{abs}}$: theory

theory

$$ M=m-5\log_{10}(d)+5 $$ $$ \sigma_{M}=\sqrt{\sigma_m^2+(\frac{5}{\ln 10})^2(\frac{\sigma_d}{d})^2} $$

the distance of target $d$

the apparent magnitude of target $m$

the error of apparent/instrumental magnitude $\sigma_{m}$

the error of distance $\sigma_{d}$

2.3 $m_{\text{app}}\rightarrow m_{\text{abs}}$: processing

1.get distance from gaia catalog

2.3 $m_{\text{app}}\rightarrow m_{\text{abs}}$: processing

1.get distance from gaia catalog

change parallax(mas) $ ϖ $ to distance(pc) $d$

$$ d = \frac{1000}{ϖ} $$

$$ \sigma_d = \sqrt{(\frac{-1000}{ϖ^2})^2\sigma_{ϖ}^2} $$

2.3 $m_{\text{app}}\rightarrow m_{\text{abs}}$: processing

2.convert $m_{\text{app}my}$ to $m_{\text{abs}}$

$$ M=m-5\log_{10}(d)+5 $$ $$ \sigma_{M}=\sqrt{\sigma_m^2+(\frac{5}{\ln 10})^2(\frac{\sigma_d}{d})^2} $$

2.4 The First Edition H-R Diagram

we have:

  • absolute magnitudes in $g,i,r$ filters

  • color index:

    • $g\text{-}r$, $g\text{-}i$, $r\text{-}i$
    • the error of $\text{f1-f2}$ is $$ \sigma_{\text{f1-f2}}=\sqrt{\sigma_{\text{f1}}^2+\sigma_{\text{f2}}^2} $$

2.4 The First Edition H-R Diagram

plot $g$ vs $g\text{-}r$, $g$ vs $g\text{-}i$ and $r$ vs $r\text{-}i$

3 Further Analysis

3.1 Identify

3.2 Interstellar Extinction

3.3 Isochrone

3.1 Identify: theory

parameters to consider:

  • distance/parallax

  • proper motion

3.1 Identify: theory

parameters to consider:

  • distance/parallax

(stars gather as a group)

  • proper motion

3.1 Identify: theory

parameters to consider:

  • distance/parallax

(stars gather as a group)

  • proper motion

(group move together)

3.1 Identify: processing

1.get the proper motion from gaia catalog

3.1 Identify: processing

2.consider distance, proper motion, proper motion in RA, proper motion in Dec at the same time

3.1 Identify: processing

3.compare with the raw H-R diagram

3.1 Identify: processing

3.compare with the raw H-R diagram

3.2 Interstellar Extinction: theory

theory

  • get the $E(B\text{-}V)$ of each star from catalog file
  • fix the magnitudes in 3 filters $$ A=C\cdot E(B\text{-}V) $$ $$ m_0=m_{\text{obs}}-A $$

3.2 Interstellar Extinction: processing

1.compare the coordinate of star to the coordinates in catalog file Extinction_values_NGC7086.csv

get the match value of $E(B\text{-}V)$ and its error.

3.2 Interstellar Extinction: processing

2.calculate the interstellar extinction and reduce it

3.2 Interstellar Extinction: processing

3.compare with the H-R diagram before considering interstellar extinction

3.2 Interstellar Extinction: processing

3.compare with the H-R diagram before considering interstellar extinction

3.3 Isochrone

3.3 Isochrone

3.3 Isochrone

3.3 Isochrone

Thank You